<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="review-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Anim. Sci.</journal-id>
<journal-title>Frontiers in Animal Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Anim. Sci.</abbrev-journal-title>
<issn pub-type="epub">2673-6225</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fanim.2025.1608387</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Animal Science</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Ammonia emissions from beef cattle feedyards: a review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Myeongseong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/955491/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Auvermann</surname>
<given-names>Brent W.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2595643/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tedeschi</surname>
<given-names>Luis O.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1003702/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Koziel</surname>
<given-names>Jacek A.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/183522/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Brandani</surname>
<given-names>Carolina B.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gouv&#xea;a</surname>
<given-names>Vin&#xed;cius N.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1852622/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Smith</surname>
<given-names>Jason K.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Casey</surname>
<given-names>Kenneth D.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3099060/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Texas A&amp;M AgriLife Research</institution>, <addr-line>Amarillo, TX</addr-line>,&#xa0;<country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Animal Science, Texas A&amp;M University, College</institution>, <addr-line>Station, TX</addr-line>,&#xa0;<country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Biological and Agricultural Engineering, Texas A&amp;M University, College</institution>, <addr-line>Station, TX</addr-line>,&#xa0;<country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Livestock Nutrient Management Research Unit, United States Department of Agriculture-Agricultural Research Service (USDA-ARS) Conservation and Production Research Laboratory</institution>, <addr-line>Bushland, TX</addr-line>,&#xa0;<country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Soil and Crop Sciences, Texas A&amp;M University, College</institution>, <addr-line>Station, TX</addr-line>,&#xa0;<country>United States</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Texas A&amp;M AgriLife Extension Service</institution>, <addr-line>Amarillo, TX</addr-line>,&#xa0;<country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Titus Zindove, Lincoln University, New Zealand</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Diego Ignacio Manriquez, Colorado State University, United States</p>
<p>Rangarirayi Lucia Mhindu, Midlands State University, Zimbabwe</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Brent W. Auvermann, <email xlink:href="mailto:Brent.Auvermann@ag.tamu.edu">Brent.Auvermann@ag.tamu.edu</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>6</volume>
<elocation-id>1608387</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Lee, Auvermann, Tedeschi, Koziel, Brandani, Gouv&#xea;a, Smith and Casey</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Lee, Auvermann, Tedeschi, Koziel, Brandani, Gouv&#xea;a, Smith and Casey</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>This review described the state of the science concerning the generation, measurement, and mitigation of ammonia (NH<sub>3</sub>) emissions from beef cattle feedyards. NH<sub>3</sub> emissions primarily come from urinary urea in cattle manure. In the past, constant emission factors were used to inventory NH<sub>3</sub> emissions. Currently, NH<sub>3</sub> emission factors estimated by process-based mechanistic models reflecting various factors affecting NH<sub>3</sub> emissions in the feedyard environment are available. This review of current literature indicated the average NH<sub>3</sub> emissions from a beef cattle feedyard was approximately 119 g/head/day (range 24 to 318 g/head/day), and the average NH<sub>3</sub> flux was approximately 58 &#xb5;g/m<sup>2</sup>/s (range 2 to 185 &#xb5;g/m<sup>2</sup>/s). Although more realistic estimates of NH<sub>3</sub> emission flux from open-lot livestock facilities were being obtained using process-based models, there was still significant variation depending on the diet composition, manure management practices, and the feedyard environment, including both seasonal weather patterns and synoptic weather events. We note the need to improve inventories of NH<sub>3</sub> emissions into categories of crude protein percentage, manure management implemented, and feedyard environment. Some mitigation strategies can be effective, such as diet manipulation, growth-promoting technologies, and manure or pen-surface amendments. Of those, precision diet feeding to meet but not exceed protein requirements appeared to be the most practical way to reduce ammonia emissions over the animals&#x2019; feeding period; laboratory studies suggested that shorter-term reductions in emission flux may be possible with the other approaches, but they were far more speculative at this point as to both their efficacy and their cost of implementation.</p>
</abstract>
<kwd-group>
<kwd>gas quantification</kwd>
<kwd>emission factors</kwd>
<kwd>emission mitigation</kwd>
<kwd>feedyard management practices</kwd>
<kwd>air quality</kwd>
<kwd>sustainable agriculture</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="7"/>
<equation-count count="8"/>
<ref-count count="157"/>
<page-count count="22"/>
<word-count count="12307"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Precision Livestock Farming</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Over the past few decades, livestock and poultry farmers have scaled up farming operations to meet society&#x2019;s demand for high-quality meats, milk, eggs, and by-products. The concentration of animals in feeding operations has played a large role in fulfilling the demand for animal protein with fewer animals and while using fewer land resources. Concentration of animals in close proximity during a portion of their production cycle also concentrates their nutrient emissions. More specifically, these undesirable potential implications of confined (or &#x201c;concentrated&#x201d;) animal feeding operations (CAFOs) are caused by gas and particulate matter (PM) emissions from various types of animal wastes, including manure (feces and urine), waste feed, bedding, and wastewater. Gaseous emissions from CAFOs include NH<sub>3</sub>, greenhouse gases (carbon dioxide, CO<sub>2</sub>; methane, CH<sub>4</sub>; and nitrous oxide, N<sub>2</sub>O), and other air pollutants such as volatile organic compounds (VOCs), many of which are odorous.</p>
<p>NH<sub>3</sub> emissions from CAFOs are a high-profile environmental quality concern because they can contribute to the eutrophication of surface waters, nitrate contamination of ground waters, soil acidity, secondary formation of fine PM, and impaired air quality (<xref ref-type="bibr" rid="B136">USEPA, 2004</xref>; <xref ref-type="bibr" rid="B52">Hribar, 2010</xref>; <xref ref-type="bibr" rid="B12">Brandani et&#xa0;al., 2023</xref>). Gaseous NH<sub>3</sub> in the atmosphere has been reported as a significant contribution to the formation of airborne fine particulate matter (PM2.5) through reactions with water vapor and other air pollutants, including oxidation products of sulfur dioxide (SO<sub>2</sub>) or nitrogen oxides (NO and NO<sub>2</sub>, or NOx) (<xref ref-type="bibr" rid="B67">Li et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B153">Wyer et&#xa0;al., 2022</xref>). Indeed, U.S. Environmental Protection Agency (USEPA) recently reduced the annual health-based National Ambient Air Quality Standard for PM2.5 from 12.0 &#xb5;g/m<sup>3</sup> to 9.0 &#xb5;g/m<sup>3</sup> (<xref ref-type="bibr" rid="B138">USEPA, 2024</xref>). Since NH<sub>3</sub> is a precursor gas that may be easier to mitigate than others among PM2.5&#x2019;s other precursors (<xref ref-type="bibr" rid="B76">Meng et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B43">Gu et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B153">Wyer et&#xa0;al., 2022</xref>), if ambient PM2.5 standards are further reduced, ambient air-quality standards for NH<sub>3</sub> may be introduced. Furthermore, NH<sub>3</sub> may also contribute to climate change through N<sub>2</sub>O formation as an intermediate byproduct of ammonium (NH<sub>4</sub>
<sup>+</sup>) oxidation in the microbial processes of nitrification and denitrification (<xref ref-type="bibr" rid="B137">USEPA, 2010</xref>). In addition, NH<sub>3</sub> emissions may contribute to nitrogen (N) deposition in neighboring ecosystems, which in turn may affect ecosystem function by promoting eutrophication, soil acidification, and disrupting biodiversity (<xref ref-type="bibr" rid="B10">Benedict et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B127">Thompson et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B79">Morris, 2016</xref>; <xref ref-type="bibr" rid="B12">Brandani et&#xa0;al., 2023</xref>).</p>
<p>As public awareness and concern over the potential adverse effects of NH<sub>3</sub> emissions on the environment and human health increased, governmental regulation of CAFOs led to a push and the adoption of sustainable management practices by livestock producers (<xref ref-type="bibr" rid="B145">Waldrip et&#xa0;al., 2015</xref>). Sound scientific evidence is needed to evaluate current and proposed regulations that go beyond encouraging practices regarding CAFOs, air quality, PM, and NH<sub>3</sub> emissions in particular. It is necessary to understand the emission mechanisms and processes influencing emissions, know the appropriate measurement methodologies and techniques and uncertainties associated with their use, evaluate current scientific literature for feedyard-based emissions data, survey the industry feedyard management practices, anticipate the impact of emerging regulatory trends and socioeconomics on emissions, and identify the most practical approaches to mitigation and potential barriers to their adoption.</p>
<p>In this review, we reported the state of the science concerning NH<sub>3</sub> emissions from beef cattle feedyards. The review is organized into five major areas: 1) pathway of NH<sub>3</sub> emissions through N metabolism in the ruminant animal, 2) dynamics of NH<sub>3</sub> emissions from pen surfaces, 3) methods quantifying NH<sub>3</sub> emissions in the feedyard, 4) the current level of NH<sub>3</sub> emissions in beef cattle feedyards, and 5) recommended management practices to mitigate NH<sub>3</sub> emissions from feedyards. Details of the literature search methodology, including search engines, terms used, inclusion and exclusion criteria, and the total number of materials reviewed, are provided in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Pathway of ammonia emissions from ruminant animal</title>
<p>Ruminants, specifically pre-gastric fermenters, have a unique digestive system that evolved to digest and use forage resources that are less or not digestible in monogastric animals. The unique digestive organ called the reticulo-rumen is an anaerobic microbe fermenter with the remarkable ability to convert dietary protein into microbial protein. Ruminal microorganisms can use not only dietary protein but also non-protein-N, which does not contain amino acids (e.g., urea and NH<sub>3</sub>) as N sources for microbial protein synthesis. In the reticulo-rumen, N sources are degraded by rumen microbes to peptides, amino acids, and eventually to NH<sub>3</sub> by the deamination of amino acids and then these compounds are used to synthesize microbial protein (<xref ref-type="bibr" rid="B54">Hristov and Jouany, 2005</xref>; <xref ref-type="bibr" rid="B82">NASEM, 2016</xref>). Microbial protein has a similar amino acid composition to the amino acid composition of tissue and milk protein, which makes it almost an ideal source of amino acids for the ruminant (<xref ref-type="bibr" rid="B86">NRC, 2001</xref>; <xref ref-type="bibr" rid="B53">Hristov et&#xa0;al., 2011</xref>). The metabolizable protein needs of the ruminant for maintenance and production are met primarily by microbial proteins that are washed out of the reticulo-rumen and feed proteins, which are not degraded by rumen microbes, with a small contribution from endogenous N, which originates from the animal&#x2019;s own viscera rather than from dietary sources such as sloughed-off intestinal cells in the post-ruminal (small and large intestine) metabolism (<xref ref-type="bibr" rid="B86">NRC, 2001</xref>; <xref ref-type="bibr" rid="B82">NASEM, 2016</xref>). A portion of NH<sub>3</sub> produced in ruminal N metabolism is absorbed across the ruminal epithelium into the portal vein and converted mostly into urea by the urea cycle in the liver to avoid NH<sub>3</sub> toxicity (<xref ref-type="bibr" rid="B82">NASEM, 2016</xref>). Urea produced by the liver is partly excreted in the urine by the kidneys, with the remainder recycled back to the gastrointestinal tract (GIT) through either direct transfer from blood across the epithelial tissue or via saliva as a N source for protein synthesis (<xref ref-type="bibr" rid="B82">NASEM, 2016</xref>). The process in which NH<sub>3</sub> in the rumen is converted into urea by the liver and reused as a N source in GIT is called urea recycling (or N recycling), and it plays an important role in N preservation mechanism of the ruminant (<xref ref-type="bibr" rid="B82">NASEM, 2016</xref>). Undigestible and unabsorbed N sources in ruminal and post-ruminal metabolism are excreted as feces. The overall N metabolism pathway in the ruminant is shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>A schematic diagram of nitrogen metabolism in the ruminant. The diagram was reprinted from <xref ref-type="bibr" rid="B85">NRC (1985)</xref> and modified to incorporate concepts described by <xref ref-type="bibr" rid="B125">Tedeschi and Fox (2020)</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-06-1608387-g001.tif">
<alt-text content-type="machine-generated">Flowchart showing nitrogen processing in a digestive system. It details the movement of protein and other nitrogen forms through the diet, rumen, small intestine, and large intestine. Nitrogen is converted to amino acids, ammonium, and microbial nitrogen, affecting blood, tissue, excretion in urine, feces, and scurf.</alt-text>
</graphic>
</fig>
<p>The excretion of NH<sub>3</sub> is largely determined by the form of NH<sub>3</sub> in the ruminant&#x2019;s metabolism. For example, if it is in a gas phase (NH<sub>3</sub>), it is most likely to be excreted as eructation, exhaled gas, and flatus. However, if it is in an ionized (NH<sub>4</sub>
<sup>+</sup>) or solid form, it is more likely to be incorporated into the manure (feces and urine). Since the form of NH<sub>3</sub> produced in the digestion of the ruminant is determined by the NH<sub>3</sub>/NH<sub>4</sub>
<sup>+</sup> equilibrium state (<xref ref-type="disp-formula" rid="eq1">Equation 1</xref>), it is important to understand the factors that affect the NH<sub>3</sub>/NH<sub>4</sub>
<sup>+</sup> equilibrium and the ruminal and post-ruminal environments. The equilibrium between NH<sub>3</sub> and NH<sub>4</sub>
<sup>+</sup> is not a redox-dependent reaction, but a pH and temperature (T) dependent reaction in aqueous solutions (<xref ref-type="disp-formula" rid="eq2">Equations 2</xref>, <xref ref-type="disp-formula" rid="eq3">3</xref>; <xref ref-type="bibr" rid="B27">Emerson et&#xa0;al., 1975</xref>) as illustrated in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. This is because there is no change in the oxidation states of N or hydrogen (H), which is the key feature of redox reactions.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Equilibrium between NH<sub>4</sub>
<sup>+</sup> and NH<sub>3</sub> as a function of pH and temperature. The images were reprinted from <bold>(a)</bold> <xref ref-type="bibr" rid="B18">Cofie et&#xa0;al. (2016)</xref>, <bold>(b)</bold> <xref ref-type="bibr" rid="B3">Aguado et&#xa0;al. (2022)</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-06-1608387-g002.tif">
<alt-text content-type="machine-generated">These graphs illustrate the equilibrium between ammonium and ammonia as a function of pH and temperature. Both graphs (a) and (b) demonstrate that as pH and temperature increase, the equilibrium shifts toward ammonia. This indicates that at higher pH and temperature, a greater proportion of ammonium is converted into ammonia.</alt-text>
</graphic>
</fig>
<disp-formula id="eq1">
<label>(1)</label>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mi>N</mml:mi>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msup>
<mml:mi>H</mml:mi>
<mml:mo>+</mml:mo>
</mml:msup>
<mml:mo>&#x2194;</mml:mo>
<mml:mi>N</mml:mi>
<mml:msubsup>
<mml:mi>H</mml:mi>
<mml:mn>4</mml:mn>
<mml:mo>+</mml:mo>
</mml:msubsup>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula id="eq2">
<label>(2)</label>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mtext>Mole&#xa0;fraction&#xa0;of&#xa0;</mml:mtext>
<mml:msub>
<mml:mrow>
<mml:mtext>NH</mml:mtext>
</mml:mrow>
<mml:mn>3</mml:mn>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo stretchy="false">/</mml:mo>
<mml:mo stretchy="false">[</mml:mo>
<mml:msup>
<mml:mn>10</mml:mn>
<mml:mrow>
<mml:mo>^</mml:mo>
<mml:mtext>(pKa</mml:mtext>
<mml:mo>-</mml:mo>
<mml:mtext>pH)</mml:mtext>
</mml:mrow>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula id="eq3">
<label>(3)</label>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mtext>pKa</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mn>0.0901821</mml:mn>
<mml:mo>+</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">[</mml:mo>
<mml:mrow>
<mml:mn>2729.92</mml:mn>
<mml:mo stretchy="false">/</mml:mo>
<mml:mtext>T</mml:mtext>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mtext>K</mml:mtext>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>The ruminal and post-ruminal environments depend on diet composition, management, and cattle&#x2019;s health condition, but they are generally anaerobic, reductive (oxidation-reduction potential (Eh) of -250 to -450 mv; <xref ref-type="bibr" rid="B142">Van Soest, 1994</xref>),&lt; 8 pH, and ~39&#xb0;C (<xref ref-type="bibr" rid="B82">NASEM, 2016</xref>). Considering the general pH and T in the rumen and post-rumen, it is reasonably assumed that NH<sub>3</sub> exists in mostly the NH<sub>4</sub>
<sup>+</sup> form. In addition, <xref ref-type="bibr" rid="B77">Mohiuddin and Khattar (2019)</xref> reported that the pKa of this reaction is about 9.15 and this reaction toward NH<sub>4</sub>
<sup>+</sup> occurs almost instantaneously under biological conditions (pH 7.4 and 36.5&#xb0;C). However, the aqueous solution in the rumen and post-rumen is more dynamic and complex due to anaerobic microbial interactions and reductive conditions, thus in addition to pH and T, the change in pressure, ionic strength, and salinity may affect the conversion of NH<sub>3</sub> form due to byproducts from microbial digestion and GIT metabolism.</p>
<p>Thus, based on the data investigated to date, we aimed to discuss specifically the form of NH<sub>3</sub> estimated to be emitted by each NH<sub>3</sub> emission pathway: 1) exhalation, 2) eructation, 3) flatus, and 4) the excreted N sources in manure, considering the unique N metabolism and the viscera environment of the ruminant. Environmental conditions and the predominant forms of NH<sub>3</sub> associated with each NH<sub>3</sub> emission pathway are described in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. In summary, since pH and T are widely recognized as the primary factors influencing the chemical form of NH<sub>3</sub> under biological conditions, NH<sub>4</sub>
<sup>+</sup> is the dominant form in the ruminant&#x2019;s GIT. Consequently, most NH<sub>3</sub> emitted from ruminants is considered to originate from excreted N in manure (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>A schematic of ammonia emission pathways from the ruminant. The protein pathways inside the ruminant were reprinted from <xref ref-type="bibr" rid="B139">Vaga (2017)</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-06-1608387-g003.tif">
<alt-text content-type="machine-generated">Diagram of a cow illustrating ammonia emission pathways from ruminants. Based on the gastrointestinal tract (GIT) environment, most ammonia in the GIT exists as ammonium due to the pH and temperature conditions. While minor ammonia losses through exhalation, eructation, or flatus have been reported, the predominant route of ammonia emission is via manure, which includes both feces and urine.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3">
<label>3</label>
<title>Dynamics of ammonia emissions from pen surfaces</title>
<p>Excreted N in feces and urine is the main source of NH<sub>3</sub> emissions from the beef cattle feedyard. Fecal NH<sub>3</sub> is derived from undigested feed residues, microbial cells, endogenous secretions, sloughed cells from GIT (<xref ref-type="bibr" rid="B145">Waldrip et&#xa0;al., 2015</xref>), and urine NH<sub>3</sub> derived from urea, hippuric acid, and purine-based catabolism residues (<xref ref-type="bibr" rid="B13">Bristow et&#xa0;al., 1992</xref>).</p>
<p>Urea (CO(NH<sub>2</sub>)<sub>2</sub>) is not volatile, but once it comes in contact with the urease enzyme (urea amidohydrolase), which is ubiquitous in manure and soil (<xref ref-type="bibr" rid="B145">Waldrip et&#xa0;al., 2015</xref>), it is rapidly hydrolyzed to NH<sub>3</sub> and CO<sub>2</sub> (<xref ref-type="bibr" rid="B14">Bussink and Oenema, 1998</xref>). However, NH<sub>3</sub> from feces is generated through the slow process of organic N mineralization (<xref ref-type="bibr" rid="B80">Muck, 1982</xref>; <xref ref-type="bibr" rid="B81">Muck and Steenhuis, 1982</xref>; <xref ref-type="bibr" rid="B145">Waldrip et&#xa0;al., 2015</xref>). N compounds from feces are mineralized into NH<sub>4</sub>
<sup>+</sup> by heterotrophic microorganisms in the manure (<xref ref-type="bibr" rid="B51">Horton et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B156">Zhang et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B144">Vavilin et&#xa0;al., 2008</xref>). Mineralized NH<sub>4</sub>
<sup>+</sup> is slowly released as NH<sub>3</sub> by diffusive and convective mass transfer (<xref ref-type="bibr" rid="B145">Waldrip et&#xa0;al., 2015</xref>). The process for volatilizing NH<sub>3</sub> from cattle manure was summarized below (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>, <xref ref-type="disp-formula" rid="eq4">Equations 4</xref>-<xref ref-type="disp-formula" rid="eq6">6</xref>; <xref ref-type="bibr" rid="B12">Brandani et&#xa0;al., 2023</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>A conceptual model of NH<sub>3</sub> formation and volatilization. The image was reprinted from <xref ref-type="bibr" rid="B53">Hristov et&#xa0;al. (2011)</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-06-1608387-g004.tif">
<alt-text content-type="machine-generated">Diagram illustrating the process by which nitrogen excreted in manure is transformed and volatilized as ammonia into the atmosphere.</alt-text>
</graphic>
</fig>
<disp-formula id="eq4">
<label>(4)</label>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:mi>C</mml:mi>
<mml:mi>O</mml:mi>
<mml:msub>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi>N</mml:mi>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>+</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>2</mml:mn>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mi>O</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>+</mml:mo>
<mml:mi>U</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>s</mml:mi>
<mml:mi>e</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#x2192;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi>N</mml:mi>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mn>4</mml:mn>
</mml:msub>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>O</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula id="eq5">
<label>(5)</label>
<mml:math display="block" id="M5">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi>N</mml:mi>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mn>4</mml:mn>
</mml:msub>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>O</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>+</mml:mo>
<mml:mn>2</mml:mn>
<mml:msup>
<mml:mi>H</mml:mi>
<mml:mo>+</mml:mo>
</mml:msup>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#x2192;</mml:mo>
<mml:mn>2</mml:mn>
<mml:mi>N</mml:mi>
<mml:msubsup>
<mml:mi>H</mml:mi>
<mml:mn>4</mml:mn>
<mml:mo>+</mml:mo>
</mml:msubsup>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>+</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>O</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>+</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mi>O</mml:mi>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula id="eq6">
<label>(6)</label>
<mml:math display="block" id="M6">
<mml:mrow>
<mml:mi>N</mml:mi>
<mml:msubsup>
<mml:mi>H</mml:mi>
<mml:mn>4</mml:mn>
<mml:mo>+</mml:mo>
</mml:msubsup>
<mml:mo>&#xb7;</mml:mo>
<mml:mi>O</mml:mi>
<mml:msup>
<mml:mi>H</mml:mi>
<mml:mo>&#x2212;</mml:mo>
</mml:msup>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#x2194;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>N</mml:mi>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>+</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mi>O</mml:mi>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Most NH<sub>3</sub> emission from the beef feedyard originates from urine NH<sub>3</sub>, particularly urinary urea (<xref ref-type="bibr" rid="B13">Bristow et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B14">Bussink and Oenema, 1998</xref>; <xref ref-type="bibr" rid="B147">Waldrip et&#xa0;al., 2013a</xref>). The urinary N could be volatilized from 4% to 71% (<xref ref-type="bibr" rid="B14">Bussink and Oenema, 1998</xref>; <xref ref-type="bibr" rid="B147">Waldrip et&#xa0;al., 2013a</xref>), while feces N volatilization is considerably less at 1% to 13% (<xref ref-type="bibr" rid="B14">Bussink and Oenema, 1998</xref>). Supporting this, <xref ref-type="bibr" rid="B63">Lee and Hristov (2010)</xref> observed that urinary N accounted for an average of 90% of the total emitted NH<sub>3</sub> during the first 10 d after excretion as cattle manure. In addition, several studies have reported that approximately 80% (range: 25 to 90%) of the urinary N is volatilized to NH<sub>3</sub> within the first 24 h after manure excretion (<xref ref-type="bibr" rid="B122">Stewart, 1970</xref>; <xref ref-type="bibr" rid="B57">James et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B22">Cole and Todd, 2009</xref>; <xref ref-type="bibr" rid="B64">Lee et&#xa0;al., 2009</xref>). Urea represents 50% to 90% or more of total urinary N (<xref ref-type="bibr" rid="B14">Bussink and Oenema, 1998</xref>; <xref ref-type="bibr" rid="B105">Reynal and Broderick, 2005</xref>; <xref ref-type="bibr" rid="B140">Vander Pol et&#xa0;al., 2008</xref>) and proportionally increases as dietary CP level and intake increase (<xref ref-type="bibr" rid="B20">Cole et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B23">Colmenero and Broderick, 2006</xref>; <xref ref-type="bibr" rid="B128">Todd et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B22">Cole and Todd, 2009</xref>; <xref ref-type="bibr" rid="B147">Waldrip et&#xa0;al., 2013a</xref>). <xref ref-type="bibr" rid="B147">Waldrip et&#xa0;al. (2013a)</xref> reported a moderate relationship (R<sup>2</sup> = 0.516) between dietary CP % and urinary N in finishing beef cattle.</p>
<p>The instantaneous magnitude and rate of NH<sub>3</sub> loss are the result of complex physical and chemical processes on feedyard surfaces (<xref ref-type="bibr" rid="B45">Harper, 2005</xref>; <xref ref-type="bibr" rid="B36">Freney and Simpson, 2013</xref>). They depend strongly on diet composition, manure properties, environmental factors (T, precipitation, humidity, and wind turbulence), manure properties, and management practices (<xref ref-type="bibr" rid="B117">Sommer et&#xa0;al., 1991</xref>; <xref ref-type="bibr" rid="B83">Ni, 1999</xref>; <xref ref-type="bibr" rid="B12">Brandani et&#xa0;al., 2023</xref>). In summary, NH<sub>3</sub> emission is mostly driven by four factors (<xref ref-type="bibr" rid="B48">Harper et&#xa0;al., 2010a</xref>): 1) total ammonia N (TAN) concentration of the manure, 2) T of the manure and pen surfaces, 3) pH of the manure and pen surfaces, and 4) the effectiveness of mass transfer and turbulent transport of the NH<sub>3</sub> away from the manure surface. The relationship between NH<sub>3</sub> volatilization and four key factors was summarized in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. In conclusion, NH<sub>3</sub> volatilization increases with increasing TAN concentration, T, wind speed, and pH (<xref ref-type="bibr" rid="B111">Sawyer et&#xa0;al., 1978</xref>; <xref ref-type="bibr" rid="B117">Sommer et&#xa0;al., 1991</xref>; <xref ref-type="bibr" rid="B5">Arogo et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B78">Montes et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B133">Todd et&#xa0;al., 2011</xref>). Temperature and pH have been reported to be the most important factors influencing NH<sub>3</sub> volatilization (<xref ref-type="bibr" rid="B5">Arogo et&#xa0;al., 2006</xref>), as NH<sub>3</sub>/NH<sub>4</sub>
<sup>+</sup> are equilibrium-dependent (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Supporting this, a significant correlation between the above parameters and NH<sub>3</sub> volatilization was reported in <xref ref-type="bibr" rid="B102">Redding et&#xa0;al. (2019)</xref> (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Correlation coefficient observed between environmental factors and NH<sub>3</sub> volatilization.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Environmental factor</th>
<th valign="top" align="center">Correlation coefficient (Kendall&#x2019;s tau-b)</th>
<th valign="top" align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">Wind friction velocity</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="center">Manure temperature</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="top" align="center">Air temperature</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="top" align="center">Temperature difference between the manure and the air</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="top" align="center">Cattle numbers in the feedyard</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4">
<label>4</label>
<title>Quantifying ammonia emissions</title>
<p>To accurately quantify NH<sub>3</sub> emissions in the feedyard, it is necessary to understand the characteristics of NH<sub>3</sub> emissions occurring in the feedlot environment. NH<sub>3</sub> is a colorless gas with a distinct, pungent smell. It occurs naturally and is normally found in trace amounts in the atmosphere (range: 1 to 25 ppb; <xref ref-type="bibr" rid="B104">Renard et&#xa0;al., 2004</xref>). Due to its high reactivity and the pervasiveness of the urease enzyme, the process of NH<sub>3</sub> formation and volatilization is almost instantaneous and begins immediately after manure is excreted (<xref ref-type="bibr" rid="B53">Hristov et&#xa0;al., 2011</xref>). Once emitted into the atmosphere, NH<sub>3</sub>, where it is the dominant alkaline gas, reacts with atmospheric sulfuric and nitric acids forming ammonium sulfate, ammonium bisulfate, and ammonium nitrate, which precipitate in atmospheric water droplets as secondary fine particles (PM2.5) and are regulated by USEPA as a so-called &#x201c;criteria&#x201d; air pollutant (<xref ref-type="bibr" rid="B104">Renard et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B12">Brandani et&#xa0;al., 2023</xref>). NH<sub>3</sub> released into the atmosphere has a short lifespan in its gas phase of 2.5 to 36 h (<xref ref-type="bibr" rid="B154">Xie et&#xa0;al., 2024</xref>).</p>
<p>NH<sub>3</sub> emissions from open feedyards are generally lower than those encountered in closed or housed animal production systems (<xref ref-type="bibr" rid="B131">Todd et&#xa0;al., 2005</xref>, <xref ref-type="bibr" rid="B128">2006</xref>; <xref ref-type="bibr" rid="B53">Hristov et&#xa0;al., 2011</xref>). This is because open feedyards are exposed to ambient air, allowing for dilution airflow that reduces NH<sub>3</sub> concentrations in the atmospheric boundary layer. Although ambient conditions are spatially and temporally variable, NH<sub>3</sub> emissions from beef feedyards are quickly dispersed by atmospheric turbulence (<xref ref-type="bibr" rid="B145">Waldrip et&#xa0;al., 2015</xref>). In other words, most agricultural open sources like a feedyards tend to be scattered both temporally and spatially, and most of the gaseous NH<sub>3</sub> emitted by feedyards may be shortly adsorbed to surrounding cropping and natural ecosystems by dry deposition (<xref ref-type="bibr" rid="B49">Harper et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B45">Harper, 2005</xref>), converted to fine particles, or mixed into the upper atmosphere. Additionally, manure in open feedyards is typically distributed over a larger area and may dry out more quickly due to exposure to sunlight and wind. Although more NH<sub>3</sub> may be released during the drying process, dried manure emits less NH<sub>3</sub> compared to the wetter manure often found in closed systems. In addition, open-lot feedyards often have lower stocking density compared to animal operations under the roof, which reduces the total amount of NH<sub>3</sub> being produced per unit of emitting area.</p>
<p>Quantifying gas emissions from open sources requires equipment that can measure low concentrations of NH<sub>3</sub> quickly, accurately, and robustly. Any measurement procedure that alters the natural ambient state (e.g., manure property and turbulence at the emitting surface) will introduce bias to measured NH<sub>3</sub> emission rates (<xref ref-type="bibr" rid="B48">Harper et&#xa0;al., 2010a</xref>). For NH<sub>3</sub>, any measurement technology that interferes with the turbulent transport process away from the source (the rate-limiting process) can result in large errors. This is unlike CH<sub>4</sub>, CO<sub>2</sub>, or NO<sub>2</sub>, which are less soluble and less affected by turbulent transport as mass-flow (biological) gases (<xref ref-type="bibr" rid="B48">Harper et&#xa0;al., 2010a</xref>). Therefore, measuring the NH<sub>3</sub> concentration emitted in the natural ambient state with the acquisition of weather data is better for the quantification of NH<sub>3</sub> emission in the feedyard compared to other approaches such as creating an artificial airflow inside a flux chamber.</p>
<p>Quantifying NH<sub>3</sub> emissions requires at least two components: 1) a method to measure the atmospheric concentration of NH<sub>3</sub> and 2) a method to measure weather data for converting the concentration into emission using a dispersion model or a method to directly measure the airflow rate (usually for lab scale) (<xref ref-type="bibr" rid="B145">Waldrip et&#xa0;al., 2015</xref>). It is important to note that concentration is only a percentage. 1 ppm of NH<sub>3</sub> just means that NH<sub>3</sub> is 0.0001% of the sampled air. It says nothing about the actual amount of NH<sub>3</sub> injected into the atmosphere. Therefore, it is necessary to approach the term of emissions (mass per time). If the total volumetric airflow (m<sup>3</sup>/s) and the NH<sub>3</sub> concentration (g/m<sup>3</sup>) from an emission source were measured, the two terms must be multiplied to obtain the emission rate in g/s. The main text of this review describes only the most widely used method currently applied in practice. However, the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref> provides an overview of five major approaches for measuring NH<sub>3</sub> concentrations (acid trap, chemiluminescence, electrochemical sensor, infrared analyzer, and tunable diode analyzer) and estimating NH<sub>3</sub> emissions (N mass balance, flow-through chamber, micrometeorological methods, air dispersion models, and satellite remote sensing). As each method has advantages, disadvantages, and applicability varies, readers are encouraged to consult all methods and select the one most appropriate for their specific research conditions and objectives.</p>
<sec id="s4_1">
<label>4.1</label>
<title>Measurement of ammonia concentration</title>
<sec id="s4_1_1">
<label>4.1.1</label>
<title>Open-path tunable diode laser absorption spectrometry</title>
<p>Open-path tunable diode laser absorption spectrometry (OP-TDLAS) is a technique designed to measure the path-averaged concentration of specific species within a gas mixture using laser-absorption spectrometry. The basic principle of OP-TDLAS involves passing the laser through the gas mixture, detecting the amount of light absorbed by NH<sub>3</sub> molecules at specific wavelengths according to the change in the degree of recovery rate from the detector, and then computing the NH<sub>3</sub> concentration based on the calibration between NH<sub>3</sub> concentration and the amount of light absorbed at certain wavelengths (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Such a specific waveband (so-called narrow absorption line), specifically designed for NH<sub>3</sub>, avoids mutual absorption interference of other gases such as CO<sub>2</sub>, CH<sub>4</sub>, and water vapor (<xref ref-type="bibr" rid="B48">Harper et&#xa0;al., 2010a</xref>). The amount of light absorbed by the NH<sub>3</sub> molecules is proportional to the concentration of NH<sub>3</sub> along the optical path. NH<sub>3</sub> gas molecules typically absorb light in the range of around 200 (Boreal Laser INC), 620~740, or 931~954 cm<sup>-1</sup> (<xref ref-type="bibr" rid="B7">Baldacchini et&#xa0;al., 1981</xref>; <xref ref-type="bibr" rid="B50">Hermanussen et&#xa0;al., 1986</xref>). To sum up, OP-TDLAS is designed to measure mean concentrations along an open path between the laser and the retroreflector and is a non-invasive technique.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>A figure of the OP-TDLAS on a beef cattle feed yard.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-06-1608387-g005.tif">
<alt-text content-type="machine-generated">Open-path lasers were installed within the beef cattle feedyard to measure ammonia concentrations. The ammonia concentration data obtained from the laser, combined with wind profile measurements, are used to estimate ammonia emissions.</alt-text>
</graphic>
</fig>
<p>The main advantage of using OP-TDLAS at beef cattle feedyards is quick, accurate, and robust NH<sub>3</sub> measurement in a feedyard environment where NH<sub>3</sub> rapidly volatilizes from relatively large emitting areas. As an example, the detailed specification of OP-TDLAS by Boreal Laser Inc (Edmonton, Canada) has 8&#x2013;6500 or 40-15,000 ppm-m as a detectable NH<sub>3</sub> range and a &#xb1;2% uncertainty about reading accuracy. The response time required for measuring accurate NH<sub>3</sub> concentration is 1 s. Once factory calibration is completed, it has a longer calibration cycle than other sensors. If stored properly, the measurement will remain accurate for several years. In addition, the open path between the laser and retroreflector can typically be covered to 5~500 m in measurements, but this can be increased further depending on the performance of the reflector. In terms of disadvantages, OP-TDLAS is expensive and requires careful maintenance. It may require skilled operators for setup, calibration, and maintenance due to the complexity of the technology involved. It is susceptible to maintaining clear line of sight between the laser and retroreflector. Environmental conditions like dust and condensation can increase the opacity of the air along the optical path and degrade the quality of an instrument&#x2019;s signal.</p>
</sec>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Estimation of ammonia emissions</title>
<sec id="s4_2_1">
<label>4.2.1</label>
<title>Air dispersion models</title>
<p>Direct measurement of NH<sub>3</sub> emissions from open cattle feedyards is challenging due to their size, the spatial and temporal variable nature of emissions from open sources, and the labor, cost, and time consumption associated with measuring and maintaining instruments (<xref ref-type="bibr" rid="B11">Bonifacio et&#xa0;al., 2013</xref>). One may sidestep these problems by using an atmospheric dispersion model to deduce the emission indirectly (<xref ref-type="bibr" rid="B32">Flesch et&#xa0;al., 2004</xref>). Air dispersion models are mathematical tools used to characterize the atmospheric processes that disperse a pollutant emitted by a source and simulate the transport and dispersion of air pollutants in the atmosphere based on measured weather data and gas emissions (or concentration). These models help assess the NH<sub>3</sub> emission at various locations downwind from a source, providing valuable information for air quality management, environmental impact assessments, and regulatory compliance.</p>
<p>In the case of open beef feedyards, several air modeling systems could be applied such as 1) Gaussian model-based AERMOD (American Meteorological Society/Environmental Protection Agency Regulatory Model) system and 2) backward Lagrangian stochastic (bLS) model-based WindTrax system, but bLS model-based WindTrax is generally applicable for beef cattle feedyards.</p>
<sec id="s4_2_1_1">
<label>4.2.1.1</label>
<title>Gaussian model-based AERMOD system</title>
<p>A Gaussian dispersion model describes the transport of pollutants from a point source as a steady-state plume whose horizontal and vertical spread are modeled as Gaussian distributions whose parameters are specified by ensembles of weather variables affecting boundary-layer turbulence. The AERMOD System is a steady-state, Gaussian plume model that incorporates air dispersion based on planetary boundary layer turbulence structure and scaling concepts, including treatment of both surface and elevated sources, and both simple and complex terrain (USEPA, available online: <ext-link ext-link-type="uri" xlink:href="https://www.epa.gov/scram/air-quality-dispersion-modeling">https://www.epa.gov/scram/air-quality-dispersion-modeling</ext-link>). It is the preferred regulatory dispersion model of USEPA and is a free system used for emission estimation of target gases across various industries. An advantage of such Gaussian model-based system is that the plume dispersion parameters are based on theory and inputs are well characterized by experimental data (<xref ref-type="bibr" rid="B5">Arogo et&#xa0;al., 2006</xref>). However, this Gaussian assumption is not valid for all variables associated with the atmosphere for all time, scales, and dynamics (<xref ref-type="bibr" rid="B42">Goodliff et&#xa0;al., 2020</xref>). Specifically, <xref ref-type="bibr" rid="B46">Harper et&#xa0;al. (2011)</xref> pointed out that it is hard to expect such universality of Gaussian distribution since the atmosphere in the feedyard does not adhere to Gaussian assumptions. In other words, the shortcomings and limitations of Gaussian model arise from the many simplifying assumptions implicit in the mathematical solutions of these models (such as conditions of steady, uniform flow and homogenous turbulence), and the assumption of vertical Gaussian concentration distribution which is often not realized in the boundary layer (<xref ref-type="bibr" rid="B5">Arogo et&#xa0;al., 2006</xref>).</p>
</sec>
<sec id="s4_2_1_2">
<label>4.2.1.2</label>
<title>bLS model-based WindTrax</title>
<p>Lagrangian stochastic models (LS) describe the trajectories of tracer particles in turbulence from a statistical perspective of random velocity fields. They are considered by some authors the most natural and accurate means of calculating atmospheric transport (<xref ref-type="bibr" rid="B152">Wilson and Sawford, 1996</xref>). <xref ref-type="bibr" rid="B34">Flesch et&#xa0;al. (1995)</xref> developed a &#x201c;backwards&#x201d; variant of this type of model, otherwise known as the bLS dispersion model. The bLS dispersion model calculates an ensemble of particle trajectories that are distinguished by each passing through an observation point (<xref ref-type="bibr" rid="B34">Flesch et&#xa0;al., 1995</xref>). In other words, particles are released at the receptor location and travel backward in time to the source location in bLS; by contrast, in forward or standard LS, particles are released at the source and travel to the receptor location (<xref ref-type="bibr" rid="B66">Li and Du, 2020</xref>). Specifically, the bLS model tracks the movement of individual air parcels or particles as they disperse in the atmosphere based on measured weather data and gas concentration. When used in conjunction with OP-TDLAS measurements of pollutant concentrations, thousands of model trajectories are calculated upwind of the OP-TDLAS path for the prevailing wind conditions (<xref ref-type="bibr" rid="B48">Harper et&#xa0;al., 2010a</xref>). The important information relating the concentration to the emissions is the set of trajectory intersections with the ground (touchdowns), and the needed concentration-emission rate (C-Q) relationship is determined by those touchdowns according to <xref ref-type="disp-formula" rid="eq7">Equations 7</xref>, <xref ref-type="disp-formula" rid="eq8">8</xref> (<xref ref-type="bibr" rid="B32">Flesch et&#xa0;al., 2004</xref>).</p>
<disp-formula id="eq7">
<label>(7)</label>
<mml:math display="block" id="M7">
<mml:mrow>
<mml:mi>Q</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi>C</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mi>b</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi>C</mml:mi>
<mml:mo stretchy="false">/</mml:mo>
<mml:mi>Q</mml:mi>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>m</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula id="eq8">
<label>(8)</label>
<mml:math display="block" id="M8">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi>C</mml:mi>
<mml:mo stretchy="false">/</mml:mo>
<mml:mi>Q</mml:mi>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>m</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mi>N</mml:mi>
</mml:mfrac>
<mml:mstyle displaystyle="true">
<mml:mo>&#x2211;</mml:mo>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mfrac>
<mml:mn>2</mml:mn>
<mml:mrow>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where: Q: NH<sub>3</sub> emission rate (kg/m<sup>2</sup>/s) from the area source of known configuration. C: NH<sub>3</sub> concentration (mg/m<sup>3</sup>); Cb = the background NH<sub>3</sub> concentration (mg/m<sup>3</sup>). (C/Q)sim: a model prediction of the ratio of concentration to the emission. N: the total number of (computational) particles released from the source. W<sub>0</sub>: the vertical velocity at touchdown within the source (m<sup>3</sup>/min per surface area; m<sup>2</sup>).</p>
<p>The advantages of the bLS dispersion model are its ability to accurately represent wind features near the ground, their role in gas transport, (<xref ref-type="bibr" rid="B46">Harper et&#xa0;al., 2011</xref>) and to be faster and more flexible in calculating turbulent dispersion from surface area sources than &#x201c;forward&#x201d; models (<xref ref-type="bibr" rid="B34">Flesch et&#xa0;al., 1995</xref>). Therefore, it is a particularly good choice for calculating the relationship between gas concentration and emission rate for ground-level sources and for concentration observations taken near the source (<xref ref-type="bibr" rid="B46">Harper et&#xa0;al., 2011</xref>). However, it assumes that the atmospheric surface layer is homogeneous, that flow is stationary and that the source strength is spatially uniform (<xref ref-type="bibr" rid="B31">Flesch and Wilson, 2005</xref>), assumptions that may be challenged by the complexity of some CAFOs (<xref ref-type="bibr" rid="B53">Hristov et&#xa0;al., 2011</xref>). To date, there is much previous research on the bLS being used to calculate gas emissions from feedyards (<xref ref-type="bibr" rid="B49">Harper et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B72">McGinn et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B141">Van Haarlem et&#xa0;al., 2008</xref>). <xref ref-type="bibr" rid="B32">Flesch et&#xa0;al. (2004)</xref> reported that bLS diagnoses the strength of a small ground-level source with small bias (within 2%), however, <xref ref-type="bibr" rid="B48">Harper et&#xa0;al. (2010a)</xref> and <xref ref-type="bibr" rid="B47">Harper et&#xa0;al. (2010b)</xref> compared the bLS accuracies to tracer gas studies, showing a nominal bLS accuracy of 100 &#xb1; 10%.</p>
<p>bLS model-based WindTrax is an easy-to-use graphical interface designed for the assessment of turbulent transport on the micro-meteorological scale and for simulating short-range atmospheric dispersion (for horizontal distances within about 1 km of the source) using bLS models (Thunder Beach Scientific, available online: <ext-link ext-link-type="uri" xlink:href="http://www.thunderbeachscientific.com/">http://www.thunderbeachscientific.com/</ext-link>). This program is free, and guidelines and introductions are provided so that users can use them correctly. Before running the program, users should carefully review the associated documentation for detailed guidance on model inputs, options, and best practices.</p>
</sec>
</sec>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Ammonia emission factors from beef cattle feedyard</title>
<p>Although measurements of NH<sub>3</sub> emission have been improved, direct measurements at each feedyard are not feasible due to the time, cost, and labor required. In addition, NH<sub>3</sub> emissions in beef cattle feedyards vary greatly depending on the diet (e.g., CP%), environmental conditions (e.g., air T, wind speed, turbulence, and precipitation), and operation-specific management practices (e.g., stocking density, manure storage, feeding management, and manure handling). Thus, measurements taken at one point in time on one feedyard may not accurately capture seasonal and temporal fluxes of emissions that occur due to changes in weather, animal diet, or other management practices (<xref ref-type="bibr" rid="B145">Waldrip et&#xa0;al., 2015</xref>). Although the emissions cannot be represented in a single value due to variables in the operation-specific management practices and environment, the need for a standard representing NH<sub>3</sub> emissions in general from livestock operations for inventory purposes is being highlighted.</p>
<p>In the past, researchers focused on measuring emissions and comparing them to constant emission factors (EF), which are derived from the literature by selecting data from studies that measured emissions from operations that are assumed to represent production facilities for a specific livestock type and region. Although they are not a perfect standard, constant EF are often used by regulatory agencies and environmental advocacy groups to estimate the footprint of specific animal-production systems (<xref ref-type="bibr" rid="B9">Battye et&#xa0;al., 1994</xref>; <xref ref-type="bibr" rid="B136">USEPA, 2004</xref>; <xref ref-type="bibr" rid="B26">Eggleston et&#xa0;al., 2006</xref>). A review by <xref ref-type="bibr" rid="B30">Faulkner and Shaw (2008)</xref> identified a wide range of constant EF for NH<sub>3</sub> from beef cattle and proposed an annual NH<sub>3</sub> EF of 13.0 kg/animal for beef cattle feedyards, which is the same as that used by the USEPA for inventory purposes (<xref ref-type="bibr" rid="B136">USEPA, 2004</xref>). Despite frequent use in setting policy and inventory of emissions, constant EF have proven insufficient for quantifying gas fluxes from many systems, including feedyards (<xref ref-type="bibr" rid="B134">Todd et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B148">Waldrip et&#xa0;al., 2013b</xref>, <xref ref-type="bibr" rid="B146">2014</xref>). This is because using a single EF and applying it universally cannot account for the previously discussed temporal and spatial differences in management practices and climatic conditions (<xref ref-type="bibr" rid="B87">NRC, 2002</xref>, <xref ref-type="bibr" rid="B88">2003</xref>). Therefore, <xref ref-type="bibr" rid="B88">NRC (2003)</xref> identified the need for improved resolution in emissions reporting for animal agriculture and recommended a process-based modeling approach that includes mass balance constraints.</p>
<p>Process-based modeling uses mathematical models to simulate the many processes and interactions that occur within a system such as a beef cattle feedyard. Dynamic process-based models that quantify emissions based on classical principles of thermodynamics and kinetics potentially provide a cost-effective method of estimating emissions and evaluating how changing climate and management practices affect emissions from animal agriculture (<xref ref-type="bibr" rid="B145">Waldrip et&#xa0;al., 2015</xref>). Representative process-based modeling used to quantify NH<sub>3</sub> emissions from beef cattle feedyards includes IHF, modified mass difference approach, flux-gradient technique (ECV), and IDM.</p>
<p>We have summarized results reported to date for NH<sub>3</sub> flux (&#xb5;g/m<sup>2</sup>/s) and the NH<sub>3</sub> EF (per capita emission rates; PCER, g/head/d) using several process-based models by season (<xref ref-type="table" rid="T2">
<bold>Tables&#xa0;2</bold>
</xref>, <xref ref-type="table" rid="T3">
<bold>3</bold>
</xref>). Open path laser was often used to measure the NH<sub>3</sub> concentration and bLS Inverse dispersion model was widely used to convert the measured NH<sub>3</sub> concentration into NH<sub>3</sub> emissions from the beef cattle feedyard. A wide range of NH<sub>3</sub> flux has been reported, from 2 to 185 &#xb5;g/m<sup>2</sup>/s (average 58 &#xb5;g/m<sup>2</sup>/s). It was generally found that NH<sub>3</sub> flux follows the following order: summer &gt; autumn &gt; spring &gt; winter. Also, a wide range of NH<sub>3</sub> emissions have been reported ranging from 24 to 318 g/head/d, and average 119 g/head/d. The highest NH<sub>3</sub> emissions were observed in the autumn, but the variation was large in each season, thus, no significant differences were represented between seasons (p &gt; 0.05). It was found that 9 to 116 (average 43) NH<sub>3</sub> kg/head/y are emitted annually.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Seasonal NH<sub>3</sub> flux from beef cattle feedyards.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Reference</th>
<th valign="middle" rowspan="2" align="center">Location</th>
<th valign="middle" colspan="2" align="center">Measurement or Estimation Method</th>
<th valign="middle" colspan="5" align="center">NH<sub>3</sub> flux (&#xb5;g/m<sup>2</sup>/s)</th>
</tr>
<tr>
<th valign="middle" align="center">NH<sub>3</sub> concentration</th>
<th valign="middle" align="center">NH<sub>3</sub> emission</th>
<th valign="middle" align="center">Spring</th>
<th valign="middle" align="center">Summer</th>
<th valign="middle" align="center">Autumn</th>
<th valign="middle" align="center">Winter</th>
<th valign="middle" align="center">Annual</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B56">Hutchinson et&#xa0;al. (1982)</xref>
</td>
<td valign="middle" align="center">Colorado</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Vertical gradient flux model</td>
<td valign="middle" align="center">29</td>
<td valign="middle" align="center">44</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B115">Shi et&#xa0;al. (2001)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">55</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B59">Koziel et&#xa0;al. (2004)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" align="center">Chemiluminescence</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">28</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B131">Todd et&#xa0;al. (2005)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux gradient model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">70</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">34</td>
<td valign="middle" align="center">36</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B6">Baek et&#xa0;al. (2006)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" align="center">Chemiluminescence</td>
<td valign="middle" align="center">Vertical gradient flux model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">61</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B128">Todd et&#xa0;al. (2006)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Integrated horizontal flux model</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B130">Todd et&#xa0;al. (2007)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" align="center">Acid trap or Chemiluminescence</td>
<td valign="middle" align="center">Flux gradient model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">72</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">39</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B72">McGinn et&#xa0;al. (2007)</xref>
</td>
<td valign="middle" align="center">Alberta, Canada</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" colspan="2" align="center">84</td>
<td valign="middle" align="center"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B106">Rhoades et&#xa0;al. (2008)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" align="center">Chemiluminescence</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center">89</td>
<td valign="middle" align="center">77</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B141">Van Haarlem et&#xa0;al. (2008)</xref>
</td>
<td valign="middle" align="center">Alberta, Canada</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B121">Staebler et&#xa0;al. (2009)</xref>
</td>
<td valign="middle" align="center">Alberta, Canada</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">76</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B22">Cole and Todd (2009)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" colspan="2" align="center">N mass balance</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">64</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B107">Rhoades et&#xa0;al. (2010)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" align="center">Chemiluminescence</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center">84</td>
<td valign="middle" align="center">77</td>
<td valign="middle" align="center">63</td>
<td valign="middle" align="center">58</td>
<td valign="middle" align="center">71</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B38">Galles et&#xa0;al. (2011)</xref>
</td>
<td valign="middle" align="center">Colorado</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamer</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">83-109</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B123">Sun et&#xa0;al. (2015)</xref>
</td>
<td valign="middle" align="center">New Jersey</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">Eddy covariance</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">37</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B95">Parker et&#xa0;al. (2016)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" align="center">Chemiluminescence</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">8-38</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B73">McGinn et&#xa0;al. (2016)</xref>
</td>
<td valign="middle" align="center">Alberta, Canada</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">50</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<xref ref-type="bibr" rid="B116">Shonkwiler and Ham (2018)</xref>
</td>
<td valign="middle" align="center">Colorado</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">60</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Colorado</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">FIDES Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">48</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B149">Wang et&#xa0;al. (2024)</xref>
</td>
<td valign="middle" align="center">Victoria<break/>Australia</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center">113</td>
<td valign="middle" align="center">185</td>
<td valign="middle" align="center">104</td>
<td valign="middle" align="center">107</td>
<td valign="middle" align="center">127</td>
</tr>
<tr>
<td valign="middle" colspan="4" align="center">
<bold>Range</bold>
</td>
<td valign="middle" align="center">
<bold>3-113</bold>
</td>
<td valign="middle" align="center">
<bold>16-185</bold>
</td>
<td valign="middle" align="center">
<bold>2~104</bold>
</td>
<td valign="middle" align="center">
<bold>2-107</bold>
</td>
<td valign="middle" align="center">
<bold>36-127</bold>
</td>
</tr>
<tr>
<td valign="middle" colspan="4" align="center">
<bold>Average</bold>
</td>
<td valign="middle" align="center">
<bold>52</bold>
</td>
<td valign="middle" align="center">
<bold>68</bold>
</td>
<td valign="middle" align="center">
<bold>57</bold>
</td>
<td valign="middle" align="center">
<bold>36</bold>
</td>
<td valign="middle" align="center">
<bold>76</bold>
</td>
</tr>
<tr>
<td valign="middle" colspan="8" align="center">
<bold>Total average</bold>
</td>
<td valign="middle" align="center">
<bold>58</bold>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Seasonal NH<sub>3</sub> emissions from beef cattle feedyards.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Reference</th>
<th valign="middle" rowspan="2" align="center">Location</th>
<th valign="middle" colspan="2" align="center">Measurement or Estimation Method</th>
<th valign="middle" colspan="5" align="center">NH<sub>3</sub> emission factors (g/head/day)</th>
</tr>
<tr>
<th valign="middle" align="center">NH<sub>3</sub> concentration</th>
<th valign="middle" align="center">NH<sub>3</sub> emission</th>
<th valign="middle" align="center">Spring</th>
<th valign="middle" align="center">Summer</th>
<th valign="middle" align="center">Autumn</th>
<th valign="middle" align="center">Winter</th>
<th valign="middle" align="center">Annual</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B56">Hutchinson et&#xa0;al. (1982)</xref>
</td>
<td valign="middle" align="center">Colorado</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Vertical gradient flux model</td>
<td valign="middle" colspan="2" align="center">50</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B21">Cole et&#xa0;al. (2006)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" colspan="2" align="center">N mass balance</td>
<td valign="middle" align="center">108</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">66</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B72">McGinn et&#xa0;al. (2007)</xref>
</td>
<td valign="middle" align="center">Alberta, Canada</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" colspan="2" align="center">140</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B33">Flesch et&#xa0;al. (2007)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center">151</td>
<td valign="middle" align="center">149</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B106">Rhoades et&#xa0;al. (2008)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" align="center">Chemiluminescence</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center">89</td>
<td valign="middle" align="center">78</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B129">Todd et&#xa0;al. (2008)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center">118</td>
<td valign="middle" align="center">128</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">64</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B141">Van Haarlem et&#xa0;al. (2008)</xref>
</td>
<td valign="middle" align="center">Alberta, Canada</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">318</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<xref ref-type="bibr" rid="B25">Denmead et&#xa0;al. (2008)</xref>
</td>
<td valign="middle" align="center">Victoria, Australia</td>
<td valign="middle" align="center">Chemiluminescence</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">69</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Queensland, Australia</td>
<td valign="middle" align="center">Chemiluminescence</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B121">Staebler et&#xa0;al. (2009)</xref>
</td>
<td valign="middle" align="center">Alberta, Canada</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">245</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B132">Todd et&#xa0;al. (2009)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" colspan="2" align="center">N mass balance</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">82-149</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B107">Rhoades et&#xa0;al. (2010)</xref>
</td>
<td valign="middle" align="center">Texas</td>
<td valign="middle" align="center">Chemiluminescence</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">85</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<xref ref-type="bibr" rid="B133">Todd et&#xa0;al. (2011)</xref>
</td>
<td valign="middle" align="center">Feedlot A, Texas</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center">110</td>
<td valign="middle" align="center">158</td>
<td valign="middle" align="center">122</td>
<td valign="middle" align="center">71</td>
<td valign="middle" align="center">115</td>
</tr>
<tr>
<td valign="middle" align="center">Feedlot E, Texas</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center">73</td>
<td valign="middle" align="center">103</td>
<td valign="middle" align="center">83</td>
<td valign="middle" align="center">60</td>
<td valign="middle" align="center">80</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<xref ref-type="bibr" rid="B148">Waldrip et&#xa0;al. (2013b)</xref>
</td>
<td valign="middle" align="center">Feedlot A, Texas</td>
<td valign="middle" align="center">Manure-DNDC</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">173</td>
</tr>
<tr>
<td valign="middle" align="center">Feedlot E, Texas</td>
<td valign="middle" align="center">Manure-DNDC</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">77</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B17">Chen et&#xa0;al. (2015)</xref>
</td>
<td valign="middle" align="center">Victoria, Australia</td>
<td valign="middle" align="center">Chemiluminescence</td>
<td valign="middle" align="center">Integrated horizontal flux model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">156</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B123">Sun et&#xa0;al. (2015)</xref>
</td>
<td valign="middle" align="center">New Jersey</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">Eddy covariance</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">63</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B114">Shen et&#xa0;al. (2016)</xref>
</td>
<td valign="middle" align="center">Victoria, Australia</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">bi-directional NH<sub>3</sub> exchange model</td>
<td valign="middle" colspan="2" align="center">126</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<xref ref-type="bibr" rid="B71">McGinn and Flesch (2018)</xref>
</td>
<td valign="middle" align="center">Feedlot A,<break/>Alberta, Canada</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">117</td>
</tr>
<tr>
<td valign="middle" align="center">Feedlot B,<break/>Alberta, Canada</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">100</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<xref ref-type="bibr" rid="B116">Shonkwiler and Ham (2018)</xref>
</td>
<td valign="middle" align="center">Colorado</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">89</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Colorado</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">FIDES Inverse dispersion model</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">71</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B102">Redding et&#xa0;al. (2019)</xref>
</td>
<td valign="middle" align="center">Queensland, Australia</td>
<td valign="middle" align="center">Laser absorption spectroscopy</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" colspan="2" align="center">127</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B41">Golston et&#xa0;al. (2020)</xref>
</td>
<td valign="middle" align="center">Colorado</td>
<td valign="middle" align="center">Open path infrared gas analyzer</td>
<td valign="middle" align="center">Gaussian plume approach</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">55</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B149">Wang et&#xa0;al. (2024)</xref>
</td>
<td valign="middle" align="center">Victoria<break/>Australia</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">bLS Inverse dispersion model</td>
<td valign="middle" align="center">170</td>
<td valign="middle" align="center">190</td>
<td valign="middle" align="center">126</td>
<td valign="middle" align="center">155</td>
<td valign="middle" align="center">160</td>
</tr>
<tr>
<td valign="middle" colspan="4" align="center">
<bold>Range</bold>
</td>
<td valign="middle" align="center">
<bold>73~170</bold>
</td>
<td valign="middle" align="center">
<bold>24~190</bold>
</td>
<td valign="middle" align="center">
<bold>83~318</bold>
</td>
<td valign="middle" align="center">
<bold>60~156</bold>
</td>
<td valign="middle" align="center">
<bold>77~173</bold>
</td>
</tr>
<tr>
<td valign="middle" colspan="4" align="center">
<bold>Average</bold>
</td>
<td valign="middle" align="center">
<bold>112</bold>
</td>
<td valign="middle" align="center">
<bold>104</bold>
</td>
<td valign="middle" align="center">
<bold>172</bold>
</td>
<td valign="middle" align="center">
<bold>91</bold>
</td>
<td valign="middle" align="center">
<bold>114</bold>
</td>
</tr>
<tr>
<td valign="middle" colspan="8" align="center">
<bold>Total average</bold>
</td>
<td valign="middle" align="center">
<bold>119</bold>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Although it is agreed that more realistic NH<sub>3</sub> EF are being obtained using process-based models, there is still significant variation of estimated NH<sub>3</sub> EF depending on the diet, the model used, and the feedyard environment. This deviation is most likely caused by differences in geographical environment and management implemented in actual feedyards as well as inherent assumptions made in modeling. Therefore, when investigating EF in the future, a detailed description of the environment, diet, and management practices implemented by the feedyard is necessary to evaluate the impact of each category of manure management implemented and the feedyard environment and estimate accurate EF for each scenario. We suggest an investigation list of feedyard environments to aid in assessing NH<sub>3</sub> emissions in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>. The information on feedyard management and diet reported in the previous papers to date is insufficient to implement this categorization. Improved models and measurement equipment are still needed for estimating more accurate NH<sub>3</sub> EF measurements under the ever-changing feedyard environment in the future.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Investigation list of feedyard management and environment.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Section</th>
<th valign="top" align="center">Type</th>
<th valign="top" align="center">Items</th>
<th valign="top" align="center">Answer</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="10" align="center">Feed</td>
<td valign="top" rowspan="7" align="left">Nutrient composition</td>
<td valign="top" align="left">DM (% as fed)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">CP (% DM)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Starch (% DM)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">NDF (% DM)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">ADF (% DM)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">TDN (g/kg DM)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">NEg (Mcal/kg DM)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Use of specific feed ingredients to mitigate nitrogen emissions</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Intake (kg of DM/head/day)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Average feeding time(s) and interval(s) (e.g., 0600 and 1400 hours, fed twice per day)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="center">Growth promotants and metabolic modifiers</td>
<td valign="top" colspan="2" align="left">Use of monensin, growth-promoting hormone implant, &#xdf;-adrenergic agonists, and/or others</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="5" align="center">Animal</td>
<td valign="top" colspan="2" align="left">Initial body weight (kg)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Final body weight (kg)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Head count</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Animal density (head/area)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Total days on feed</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">Manure and pen surface management</td>
<td valign="top" colspan="2" align="left">Manure cleaning cycle (e.g., days or times per year)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Manure storage method (e.g., composting)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Use of manure amendments</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Use of water sprinklers on the pen surface</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="center">Weather</td>
<td valign="top" colspan="2" align="left">Precipitation events and/or severe wind events</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="3" align="center">Activity records</td>
<td valign="top" colspan="2" align="left">Cattle receipt (date)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Cattle shipment (date)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Manure removal (date)</td>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>DM, dry matter; CP, crude protein; NDF, neutral detergent fiber; ADF, acid detergent fiber; TDN, total digestible nutrients; NEg, net energy for gain.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s6">
<label>6</label>
<title>Management practices to mitigate ammonia emissions</title>
<p>The major best management practices (BMP) available for use to mitigate NH<sub>3</sub> emissions in open-lot livestock facilities have been listed and recommended by USDA-NRCS (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>; <xref ref-type="bibr" rid="B12">Brandani et&#xa0;al., 2023</xref>). BMP can be divided into management for pre- and post-excretion stages (<xref ref-type="bibr" rid="B145">Waldrip et&#xa0;al., 2015</xref>). The primary method of NH<sub>3</sub> mitigation in the pre-excretion stage is fundamentally precise diet feeding to meet beef cattle requirements, dietary manipulation to decrease N excretion (e.g., adjusting dietary CP concentration to meet animal&#x2019;s need through phase feeding or oscillating), and supplementation to increase animal production (e.g., use of growth-promoting technologies). Methods for the post-excretion stage include applying the manure amendments to suppress hydrolysis of excreted urinary urea (e.g., use of urease inhibitors) or to capture (or absorb) the generated NH<sub>4</sub>
<sup>+</sup> or NH<sub>3</sub> (e.g., use of biochar as absorbents).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Best management practices (BMP) for open-lot livestock facilities to decrease NH<sub>3</sub> deposition.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Category</th>
<th valign="top" align="center">NRCS code</th>
<th valign="top" align="center">Management practices</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">Feed management</td>
<td valign="top" align="center">592</td>
<td valign="top" align="center">Diet manipulation<break/>Growth-promoting technologies<break/>Phase feeding</td>
</tr>
<tr>
<td valign="top" align="center">Manure amendment</td>
<td valign="top" align="center">632</td>
<td valign="top" align="center">Surface amendment and manure separation</td>
</tr>
<tr>
<td valign="top" align="center">Dust control</td>
<td valign="top" align="center">375</td>
<td valign="top" align="center">Water sprinkler</td>
</tr>
<tr>
<td valign="top" align="center">Pen maintenance</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">Manure harvesting and pen drainage</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>References from <xref ref-type="bibr" rid="B135">USDA-NRCS; conservation management practices</xref>.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The fundamental solution to mitigate NH<sub>3</sub> emission in beef cattle feedyards is to minimize N excretion in manure by optimizing pre-excretion stages management, but there is an intrinsic limitation in achieving this goal due to the inefficient utilization of feed N in the ruminant. The efficiency of N utilization in ruminants is typically low (around 25%) and highly variable (10% to 40%) compared with the higher efficiency of other production animals (<xref ref-type="bibr" rid="B15">Calsamiglia et&#xa0;al., 2010</xref>). The low efficiency implies that unutilized N is being released as manure into the environment. The excretion of manure with high N has the potential to increase NH<sub>3</sub> emissions into the environment. Any practice or condition that increases manure N content should generally be expected to increase NH<sub>3</sub> emissions. With typical finishing diets, approximately 10 to 20% of N intake is retained in animal tissues, 30 to 50% of fed N is excreted in the feces, and 40 to 70% of fed N is excreted in urine (<xref ref-type="bibr" rid="B22">Cole and Todd, 2009</xref>). Although it is most likely impossible to dramatically improve the inherently low efficiency of N utilization in cattle, the efficiency of N utilization can be improved through the understanding and modification of factors regulating the efficiency of N utilization in key processes, including N capture in the rumen, protein degradation, digestion and absorption in the GIT and AA utilization in peripheral tissues (<xref ref-type="bibr" rid="B15">Calsamiglia et&#xa0;al., 2010</xref>). In addition, proper processing of forages and feed, such as chopping and steam flaking, enhances digestibility, thereby improving feed efficiency. Therefore, the direction we should take to mitigate NH<sub>3</sub> emissions in feedyards is to maximize the use of feed N by optimizing the pre-excretion management while simultaneously minimizing the environmental impacts using post-excretion management. The summarized NH<sub>3</sub> mitigation practices are organized into the pre- and post-excretion stages below.</p>
<sec id="s6_1">
<label>6.1</label>
<title>Ammonia mitigation practices in the pre-excretion stage</title>
<sec id="s6_1_1">
<label>6.1.1</label>
<title>Precision feeding</title>
<p>The terminology of precision feeding was coined to suggest that livestock feeding can be fine-tuned to maintain or improve performance and better realize other benefits (<xref ref-type="bibr" rid="B103">Reddy and Krishna, 2009</xref>). In other words, the ingredients and chemical composition of the diet are modified over the growth stage of the animal so that the nutrient composition of the diet more closely meets the nutrient requirements of the animal and the excreted nutrients in manure are minimized (<xref ref-type="bibr" rid="B12">Brandani et&#xa0;al., 2023</xref>). The terminology of precision feeding has expanded its meaning to include mitigating the environmental impacts of animal production while maintaining or improving animal performance. The expansion of the term&#x2019;s meaning is fundamentally due to the improvement of nutritional models based on the accumulated knowledge of livestock nutrient requirements and use by the animal, along with the development of feeding systems, which have made it possible to feed livestock closer to their requirements, thus reducing wastes (such as wasted feed ingredient, water, manure, and gas emissions) while maintaining or improving animal performance. Details regarding the development of nutritional models, as well as opportunities for improvement in current nutrition models, are presented in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>.</p>
<p>Ideally, a nutritionist can balance animal performance with subsequent effects on the environment using current nutrient models. However, the question remains whether precision feeding can be realistically applied to a commercial beef cattle feedyard (<xref ref-type="bibr" rid="B145">Waldrip et&#xa0;al., 2015</xref>). This is because there are several challenges to overcome for precision feeding to be practical. Factors that limit the practicality of precision feeding include (1) variability in animal nutrient requirements, (2) seasonal and climatic effects, (3) variability in the composition of feed ingredients, (4) logistics, and (5) variability in the estimation of DMI (<xref ref-type="bibr" rid="B19">Cole, 2003</xref>). Most of these limitations revolve around the risk of adversely affecting animal health or performance and feedyard benefits (<xref ref-type="bibr" rid="B145">Waldrip et&#xa0;al., 2015</xref>). For this reason, many nutritionists often incorporate safety margins in their dietary formulations and feeding recommendations to protect against such factors in order to ensure that the diet meets the nutrient requirements of the animal. A practical example of such safety margins is formulating the diet to contain more CP% than is expected to be required to meet the animal&#x2019;s requirements. However, it is important to note that the decision to overfeed crude protein, as an example, may also be influenced by feed ingredient price and/or availability, such as when ingredient price encourages overfeeding N as a means of minimizing the cost of gain.</p>
<p>Although we acknowledge the practical limitations of implementing precision feeding, scientific advancements to date have led to the development of several effective strategies within precision feeding systems to mitigate NH<sub>3</sub> emissions. Representative examples include phase feeding and the use of growth-promoting technologies, which will be discussed in detail next. Dietary protein requirements decrease as cattle mature because of reduced protein deposition and simultaneous increase in fat deposition (<xref ref-type="bibr" rid="B53">Hristov et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B145">Waldrip et&#xa0;al., 2015</xref>). Phase feeding is a type of precision feeding where dietary protein concentrations are reduced late in the feeding period (<xref ref-type="bibr" rid="B145">Waldrip et&#xa0;al., 2015</xref>). Use of growth-promoting technologies are used in tandem with precision feeding strategies to maximize the efficiency and effectiveness of nutrient utilization by cattle, specifically for improving growth, feed efficiency, and production sustainability (<xref ref-type="bibr" rid="B126">Tedeschi et&#xa0;al., 2003</xref>). In conclusion, we believe that the factors limiting the practical use of precision feeding can ultimately be alleviated through the accumulation of knowledge and technology development from continued research, although the logistical hurdles of implementation at the feedyard-level remain to be overcome. Addressing these limitations and overcoming these hurdles to the adoption of precision feeding will help to maintain or improve animal performance while minimizing NH<sub>3</sub> emissions.</p>
</sec>
<sec id="s6_1_2">
<label>6.1.2</label>
<title>Manipulation of crude protein concentration and protein type</title>
<p>NH<sub>3</sub> emissions from beef cattle feedyards are sensitive to dietary CP concentrations (<xref ref-type="bibr" rid="B20">Cole et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B128">Todd et&#xa0;al., 2006</xref>, <xref ref-type="bibr" rid="B133">2011</xref>). Approximately 25 to 50% of N intake is lost into the atmosphere as NH<sub>3</sub> when beef cattle are fed CP to meet their physiological and growth needs (<xref ref-type="bibr" rid="B53">Hristov et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B134">Todd et&#xa0;al., 2013</xref>). By reducing dietary CP content to match animal needs more closely, more urea recycling is stimulated, overall feed efficiency improves, and N losses are minimized (<xref ref-type="bibr" rid="B37">Galles, 2011</xref>). In previous studies, it was reported that NH<sub>3</sub> emission, as a consequence of volatilization of excreted N, could be reduced by a maximum of 67% when CP% in the feed was adjusted to around 10-11% from 13-16% (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>) in some situations. According to <xref ref-type="bibr" rid="B75">Menezes et&#xa0;al. (2016)</xref>, the CP% of the diet for Nellore bulls was reduced from 14% to 10%, resulting in no significant difference in animal performance and carcass characteristics. However, it is important to note that reducing dietary CP levels below that required to meet the N needs of rumen fermentation and the AA needs of the animal would be expected to reduce growth performance and feed efficiency under most scenarios (<xref ref-type="bibr" rid="B20">Cole et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B100">Proctor, 2023</xref>). As a similar strategy to avoid these concerns, the method of phase feeding and oscillating dietary CP, which is the approach to more accurately apply CP according to the growth stage of livestock or environment, has been reported to mitigate N excretion and NH<sub>3</sub> emissions (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Evaluation of management practices to mitigate NH<sub>3</sub> emission in the pre-excretion stage.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Reference</th>
<th valign="middle" rowspan="2" align="center">Management type</th>
<th valign="middle" colspan="2" align="center">Measurement or Estimation Method</th>
<th valign="middle" align="center">Application dose</th>
<th valign="middle" colspan="2" align="center">NH<sub>3</sub> or N Excretion</th>
<th valign="middle" rowspan="2" align="center">
<italic>p</italic>-value</th>
</tr>
<tr>
<th valign="middle" align="center">NH<sub>3</sub> concentration</th>
<th valign="middle" align="center">NH<sub>3</sub> emission</th>
<th valign="middle" align="center">Range Value (% DM)</th>
<th valign="middle" align="center">Result</th>
<th valign="middle" align="center">Rate (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B29">Erickson et&#xa0;al. (2000)</xref>
</td>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" colspan="2" align="center">N mass balance</td>
<td valign="middle" align="center">13.4 to phase-fed (10.5&#x2013;12.0)</td>
<td valign="middle" align="center">158 to 108 g/head/d</td>
<td valign="middle" align="center">32</td>
<td valign="middle" align="center">0.01</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B91">Pandrangi et&#xa0;al. (2003)</xref>
</td>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">13.0 to 11.0</td>
<td valign="middle" align="center">1.69 to 0.79 g/m<sup>2</sup>/d</td>
<td valign="middle" align="center">53</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B20">Cole et&#xa0;al. (2005)</xref>
</td>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">13.0 to 11.5</td>
<td valign="middle" align="center">1.95 to 1.24 g/m<sup>2</sup>/d</td>
<td valign="middle" align="center">37</td>
<td valign="middle" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<xref ref-type="bibr" rid="B128">Todd et&#xa0;al. (2006)</xref>
</td>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" rowspan="2" align="center">13.0 to 11.5</td>
<td valign="middle" align="center">0.18 to 0.10 g/m<sup>2</sup>/d</td>
<td valign="middle" align="center">44</td>
<td valign="middle" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Integrated Horizontal flux</td>
<td valign="middle" align="center">0.29 to 0.22 g/m<sup>2</sup>/d<break/>(Spring data)</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B21">Cole et&#xa0;al. (2006)</xref>
</td>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" colspan="2" align="center">N mass balance</td>
<td valign="middle" align="center">13.0 to 10</td>
<td valign="middle" align="center">5.2 to 1.7 g/head/d</td>
<td valign="middle" align="center">67</td>
<td valign="middle" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B4">Archibeque et&#xa0;al. (2007)</xref>
</td>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" colspan="2" align="center">N mass balance</td>
<td valign="middle" align="center">Feeding CP 13.9% vs Oscillating feeding of low (9.1%) and high (13.9%) at 48h intervals</td>
<td valign="middle" align="center">59.6 to 39.7 g/d</td>
<td valign="middle" align="center">33</td>
<td valign="middle" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<xref ref-type="bibr" rid="B101">Quinn et&#xa0;al. (2007)</xref>
</td>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" colspan="2" align="center">N mass balance</td>
<td valign="middle" align="center">14.2 to phase-fed (avg 12.1%)</td>
<td valign="middle" align="center">150 to 109</td>
<td valign="middle" align="center">27</td>
<td valign="middle" align="center">0.02</td>
</tr>
<tr>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" colspan="2" align="center">N mass balance</td>
<td valign="middle" align="center">12.3 to phase-fed (avg 12.5%)</td>
<td valign="middle" align="center">92 to 76</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">0.11</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<xref ref-type="bibr" rid="B28">Erickson and Klopfenstein (2010)</xref>
</td>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" colspan="2" align="center">Meta-Analysis</td>
<td valign="middle" align="center">13.6 to phase-fed (avg 11.5%)</td>
<td valign="middle" align="center">158 to 108</td>
<td valign="middle" align="center">32</td>
<td valign="middle" align="center">0.01</td>
</tr>
<tr>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" colspan="2" align="center">Meta-Analysis</td>
<td valign="middle" align="center">13.4 to phase-fed (avg 11.7%)</td>
<td valign="middle" align="center">73 to 62 g/head/day</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">0.32</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B38">Galles et&#xa0;al. (2011)</xref>
</td>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">13.5 to 11.6<break/>(for 45 days)</td>
<td valign="middle" align="center">7.1 to 3.7 g/m<sup>2</sup>/d</td>
<td valign="middle" align="center">48</td>
<td valign="middle" align="center">&lt;0.10</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B134">Todd et&#xa0;al. (2013)</xref>
</td>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" align="center">Open path laser</td>
<td valign="middle" align="center">Meta-Analysis<break/>Inverse dispersion model</td>
<td valign="middle" align="center">16.0, 13.5, and 11</td>
<td valign="middle" align="center">169.9, 104.4 to 90.1 g/head/day</td>
<td valign="middle" align="center">47</td>
<td valign="middle" align="center">N/A</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B75">Menezes et&#xa0;al. (2016)</xref>
</td>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" colspan="2" align="center">N mass balance</td>
<td valign="middle" align="center">14.0 to 10.0% DM</td>
<td valign="middle" align="center">130.3 to 93.2 g/d</td>
<td valign="middle" align="center">28</td>
<td valign="middle" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B74">Mejia Turcios (2024)</xref>
</td>
<td valign="middle" align="center">CP manipulation</td>
<td valign="middle" colspan="2" align="center">Cattle pen enclosures</td>
<td valign="middle" align="center">-150 g/head/d on rumen available protein to microbial crude protein ratios (RAP: MCP) vs. +150 g/head/d on RAP: MCP.</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">52</td>
<td valign="middle" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B120">Stackhouse et&#xa0;al. (2012)</xref>
</td>
<td valign="middle" align="center">Growth promoting technologies</td>
<td valign="middle" align="center">Optical sensors (Innova 1412 and TEI 55C)</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">33.1 mg/kg DM of monensin,<break/>12.2 mg/kg DM of tylosin phosphate<break/>8.3 mg/kg of DM of zilpaterol hydrochloride<break/>implantation with a combination of 120 mg trenbolone acetate and 24 mg estradiol</td>
<td valign="middle" align="center">109 to 63 g/head/day</td>
<td valign="middle" align="center">42</td>
<td valign="middle" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B108">Ross (2021)</xref>
</td>
<td valign="middle" align="center">Growth promoting technologies</td>
<td valign="middle" colspan="2" align="center">N/A</td>
<td valign="middle" align="center">Finishing ration containing 27.3 g ractopamine/907 kg dry matter</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">0.03</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B1">Aboagye et&#xa0;al. (2022)</xref>
</td>
<td valign="middle" align="center">Growth promoting technologies</td>
<td valign="middle" colspan="2" align="center">N mass balance</td>
<td valign="middle" align="center">Implanted 120 mg of trenbolone acetate, 24 mg of estradiol USP, and 29 mg of tylosin tartrate</td>
<td valign="middle" align="center">51 to 46 g/head/day</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">N/A</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B150">Wendler et&#xa0;al. (2025)</xref>
</td>
<td valign="middle" align="center">Growth promoting technologies</td>
<td valign="middle" colspan="2" align="center">N mass balance</td>
<td valign="middle" align="center">Optaflexx (ractopamine hydrochloride, 300 mg/head/day for 35 d) and Experior (lubabegron fumarate, 36 mg/head/day for 56 d + 4 d removal)</td>
<td valign="middle" align="center">3338 to 3126 g cumulative NH<sub>3</sub>
</td>
<td valign="middle" align="center">5-14</td>
<td valign="middle" align="center">&lt;0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>N/A, not available; 6.2 Ammonia mitigation practices in the post-excretion stage.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In addition, manipulating the type of protein source in the diet can be helpful to mitigate N losses in manure. There are two types of protein: rumen degradable protein (RDP) and rumen undegradable protein (RUP). RDP is the protein broken down by the microbes in the rumen and used for microbial growth. RUP is the protein that escapes fermentation in the rumen and is digested in the small intestine. In beef cattle, 40 to 80% of non-retained N is excreted in the urine, and this quantity typically increases as dietary CP and RDP concentrations increase in the diet (<xref ref-type="bibr" rid="B82">NASEM, 2016</xref>). Therefore, N excretion can be reduced by increasing the proportion of RUP from the protein source required to satisfy the protein requirements (RDP+RUP) of cattle in the diet. However, it is important to ensure that RDP levels are high enough to satisfy the N requirement of the rumen microorganisms, as a deficiency would be expected to decrease the extent of fermentation and ultimately increase NH<sub>3</sub> emission intensity due to decreased feed efficiency. Increasing RUP level is also expected to increase N utilization efficiency by enhancing urea recycling to compensate for rumen microbial requirements due to RDP deficiency. <xref ref-type="bibr" rid="B20">Cole et&#xa0;al. (2005)</xref> reported that as RUP among the protein sources in the diet increased, the N excretion emitted from the urine decreased, and it affected the actual mitigation of NH<sub>3</sub> emissions. In addition, <xref ref-type="bibr" rid="B8">Batista et&#xa0;al. (2016)</xref> reported that corresponding with increased N intake, urinary N excretion was greater with supplementation, but supplementation did not affect fecal N excretion. Nevertheless, in response to RUP, fecal N excretion linearly increased, but urinary N excretion was not affected. In terms of NH<sub>3</sub> mitigation in ruminants, it is considered the reduced urinary N excretion will have a more positive effect on mitigating NH<sub>3</sub> emissions than the increased fecal N excretion by replacing RDP with RUP. However, there are a few things to consider with RUP. <xref ref-type="bibr" rid="B8">Batista et&#xa0;al. (2016)</xref>, in their meta-analysis, reported that for diets with around 15% CP, a decrease in the efficiency of the incorporation of recycled N into ruminal microbial N was observed, with an efficiency of around 21%. This indicates that the efficiency of recycled N use is lower from RUP than the efficiency of consumed N use from RDP. Feeding RUP above requirements directly causes N excretion in manure. Also, to take advantage of efficient N recycling as RUP increases, the diet must be formulated to meet the energy requirements. This suggests that without an appropriate energy supply, enhanced N reuse from rumen microorganisms may not be obtained due to the lack of the carbon resources required for microbial protein production, leading only to increased N excretion rather than production of protein sources. In conclusion, decreasing CP concentration in the diet can potentially decrease NH<sub>3</sub> emissions, although it also decreases average daily gain, which can increase days on feed, the amount of manure deposited in the pens, and consequent increase in NH<sub>3</sub> emissions. Therefore, careful diet manipulation is needed to avoid unintended negative consequences for animal production and the environment.</p>
</sec>
<sec id="s6_1_3">
<label>6.1.3</label>
<title>Growth-promoting technologies</title>
<p>Growth-promoting technologies (implants and feed additives) are commonly used to reduce NH<sub>3</sub> emissions by less N excretion through increasing the efficiency of energy use for growth and by low cumulative NH<sub>3</sub> emissions from fewer days on feed required to reach finished weight. Although the specific mechanism for increasing productivity by growth-promoting technologies in beef cattle is different, growth-promoting technologies such as hormone implants and &#xdf;-adrenergic agonists increase nutrient use for protein synthesis and indirectly lead to decreased lipogenesis (<xref ref-type="bibr" rid="B55">Hutcheson et&#xa0;al., 1997</xref>; <xref ref-type="bibr" rid="B84">Nichols et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B61">Lean et&#xa0;al., 2014</xref>). It was reported that implants enhance both ADG and feed conversion, while implanted cattle often have less marbling and lower quality grades (<xref ref-type="bibr" rid="B99">Preston and Herschler, 1992</xref>; <xref ref-type="bibr" rid="B113">Selk, 1999</xref>; <xref ref-type="bibr" rid="B89">Ohnoutka et&#xa0;al., 2021</xref>). Also, monensin, which is generally included as a growth-promoting technology, is an ionophore antimicrobial that increases overall energy yield from feed and improves animal growth performance by increasing the ratio of propionate to acetate and decreasing the deamination of amino acids through preferentially inhibiting gram-positive bacteria in the rumen (<xref ref-type="bibr" rid="B98">Perry et&#xa0;al., 1976</xref>; <xref ref-type="bibr" rid="B109">Russell and Strobel, 1988</xref>; <xref ref-type="bibr" rid="B126">Tedeschi et&#xa0;al., 2003</xref>). Also, it prevents and controls Coccidiosis caused by Eimeria ssp in ruminants. An increase in protein synthesis with growth-promoting technologies would be expected to reduce N excretion. It has been reported that the use of conventional productivity-enhancing technologies (combination of implant, monensin, tylosin, &#xdf;-adrenergic agonists, and others), mitigated NH<sub>3</sub> emissions by 10~42%, but the effect of only implants mitigated 17% of NH<sub>3</sub> emissions (<xref ref-type="bibr" rid="B120">Stackhouse et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B108">Ross, 2021</xref>; <xref ref-type="bibr" rid="B1">Aboagye et&#xa0;al., 2022</xref>; <xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>). Additionally, the effect of only &#xdf;-adrenergic agonists reduced NH<sub>3</sub> emissions by 5 to 14% (<xref ref-type="bibr" rid="B150">Wendler et&#xa0;al., 2025</xref>; <xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>). The detailed mechanisms and effects of each growth-promoting technology are summarized in <xref ref-type="bibr" rid="B12">Brandani et&#xa0;al. (2023)</xref>.</p>
</sec>
</sec>
<sec id="s6_2">
<label>6.2</label>
<title>Ammonia mitigation practices in the post-excretion stage</title>
<sec id="s6_2_1">
<label>6.2.1</label>
<title>Manure amendments</title>
<p>Manure amendment can be divided into chemical and physical amendments (<xref ref-type="bibr" rid="B12">Brandani et&#xa0;al., 2023</xref>). The NH<sub>3</sub> mitigation mechanism of chemical amendments is to add chemical compounds to manure to suppress the hydrolysis of excreted urinary urea or to create an environment with low pH, which is an unfavorable condition for NH<sub>3</sub> volatilization to occur. Representative examples of chemical amendments include urease inhibitors, N-(n-Butyl) thiophosphoric triamide, calcium chloride, humate, and aluminum sulfate. Physical amendments, such as biochar, carbon-rich material or biomass, bentonite, viscous plastic clay, and zeolite, microporous, crystalline aluminosilicate materials, act to adsorb NH<sub>3</sub> before being released into the atmosphere from the pen surface (<xref ref-type="bibr" rid="B12">Brandani et&#xa0;al., 2023</xref>).</p>
<p>Evaluation of manure amendment on the open feedyard surface to mitigate NH<sub>3</sub> emission has shown a wide range (19 to 98%) in mitigation effectiveness (<xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>). The urease inhibitor reduced NH<sub>3</sub> emissions by 26&#x2013;66% on the manure surface in lab and pilot-scale studies but did not show significant mitigation at the field scale. However, nitrogen fertilizers coated with the urease inhibitors showed a significant mitigation of NH<sub>3</sub> emissions on grassland (67-79%). This suggests that further research is needed to determine the best application methods for urease inhibitors to achieve significant NH<sub>3</sub> reduction in feedyard manure. The effects of calcium chloride, humate, and aluminum sulfate, which lower the pH and inhibit urease decomposition, resulted in a mitigation rate of 20 to 71% (<xref ref-type="bibr" rid="B115">Shi et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B118">Spiehs and Woodbury, 2022</xref>) at the lab and pilot scale. As physical amendments, the lignite showed a mitigation rate of 66% (<xref ref-type="bibr" rid="B17">Chen et&#xa0;al., 2015</xref>) at the pilot scale. In addition, the mixture of biochar and bentonite showed a mitigation rate of 43%, and a 3% addition of zeolite reduced 10% of NH<sub>3</sub> emission (<xref ref-type="bibr" rid="B124">Szymula et&#xa0;al., 2021</xref>) at the lab scale. However, the low cost-efficiencies and the negligible financial benefit of NH<sub>3</sub> suppression made it challenging for manure amendment to be widely adopted in the feedyard. There is a growing need for technology that is economically advantageous and can be easily adapted to mitigate NH<sub>3</sub> emissions in the beef cattle feedyard effectively and at scale. In this respect, water application using sprinklers is one option exhibiting some promise (<xref ref-type="bibr" rid="B68">Lupis et&#xa0;al., 2012</xref>).</p>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Evaluation of management practices to mitigate NH<sub>3</sub> emission in the post-excretion stage.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Reference</th>
<th valign="middle" rowspan="2" align="center">Management type</th>
<th valign="middle" colspan="2" align="center">Measurement or Estimation Method</th>
<th valign="middle" align="center">Application dose</th>
<th valign="middle" colspan="2" align="center">NH<sub>3</sub> or N Excretion</th>
<th valign="middle" rowspan="2" align="center">
<italic>p</italic>-value</th>
</tr>
<tr>
<th valign="middle" align="center">NH<sub>3</sub> concentration</th>
<th valign="middle" align="center">NH<sub>3</sub> emission</th>
<th valign="middle" align="center">Range Value (% DM)</th>
<th valign="middle" align="center">Result</th>
<th valign="middle" align="center">Rate (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B143">Varel et&#xa0;al. (1999)</xref>
</td>
<td valign="middle" align="center">Urease inhibitor (N-(n-butyl) thiophosphoric triamide; NBPT)</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">N mass balance<break/>(Kjeldahl digestion)</td>
<td valign="middle" align="center">22.8 kg/ha once per week for 42 days</td>
<td valign="middle" align="center">5.0 to 2.1 g/kg manure<break/>(by 35 days)</td>
<td valign="middle" align="center">58</td>
<td valign="middle" align="center">N/A</td>
</tr>
<tr>
<td valign="middle" rowspan="6" align="center">
<xref ref-type="bibr" rid="B115">Shi et&#xa0;al. (2001)</xref>
</td>
<td valign="middle" align="center">Urease inhibitor (NBPT)</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">1 kg/ha for 21 days</td>
<td valign="middle" align="center">4 to 1.44 g NH<sub>3</sub>-N</td>
<td valign="middle" align="center">65</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">Urease inhibitor (NBPT)</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">2 kg/ha for 21 days</td>
<td valign="middle" align="center">4 to 1.37 g NH<sub>3</sub>-N</td>
<td valign="middle" align="center">66</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">Surface amendment<break/>(Calcium chloride)</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">9000 kg/ha</td>
<td valign="middle" align="center">4 to 0.9 g NH<sub>3</sub>-N</td>
<td valign="middle" align="center">78</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">Surface amendment<break/>(Humate)</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">9000kg/ha</td>
<td valign="middle" align="center">4 to 0.9 g NH<sub>3</sub>-N</td>
<td valign="middle" align="center">68</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">Surface amendment<break/>(Aluminum sulfate)</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">9000kg/ha</td>
<td valign="middle" align="center">4 to 0.7 g NH<sub>3</sub>-N</td>
<td valign="middle" align="center">98</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">Surface amendment<break/>(commercial product, Ammonia Hold, Lonoke, Arkansas)</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">750 kg/ha</td>
<td valign="middle" align="center">4 to 2.7 g NH<sub>3</sub>-N</td>
<td valign="middle" align="center">32</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B17">Chen et&#xa0;al. (2015)</xref>
</td>
<td valign="middle" align="center">Surface amendment<break/>(Lignite)</td>
<td valign="middle" align="center">Chemiluminescence</td>
<td valign="middle" align="center">Integrated Horizontal flux</td>
<td valign="middle" align="center">4.5 kg/m<sup>2</sup>
</td>
<td valign="middle" align="center">156 to 53 g NH<sub>3</sub>-N/head/day</td>
<td valign="middle" align="center">66</td>
<td valign="middle" align="center">N/A</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">
<xref ref-type="bibr" rid="B124">Szymula et&#xa0;al. (2021)</xref>
</td>
<td valign="middle" align="center">Surface amendment<break/>(Biochar)</td>
<td valign="middle" align="center">Berthelot reaction method</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">3% addition of biochar</td>
<td valign="middle" align="center">18 to 11 mg/L</td>
<td valign="middle" align="center">41</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">Surface amendment<break/>(Zeolite)</td>
<td valign="middle" align="center">Berthelot reaction method</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">3% addition of zeolite</td>
<td valign="middle" align="center">18 to 17 mg/L</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">N/S</td>
</tr>
<tr>
<td valign="middle" align="center">Surface amendment<break/>(Mixture of bentonite and zeolite)</td>
<td valign="middle" align="center">Berthelot reaction method</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">3% addition of a mixture of bentonite and zeolite</td>
<td valign="middle" align="center">18 to 13 mg/L</td>
<td valign="middle" align="center">28</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<xref ref-type="bibr" rid="B118">Spiehs and Woodbury (2022)</xref>
</td>
<td valign="middle" rowspan="2" align="center">Surface amendment<break/>(Aluminum sulfate)</td>
<td valign="middle" rowspan="2" align="center">Acid trap</td>
<td valign="middle" rowspan="2" align="center">Flux chamber</td>
<td valign="middle" align="center">300g/6 kg of manure + water<break/>Data from 0 to 7 days</td>
<td valign="middle" align="center">Approximate 43 to 33 mg/m<sup>2</sup>/h</td>
<td valign="middle" align="center">~20</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">600g/6 kg of manure + water<break/>Data from 7 to 14 days</td>
<td valign="middle" align="center">Approximate 26 to 10 mg/m<sup>2</sup>/h</td>
<td valign="middle" align="center">~60</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<xref ref-type="bibr" rid="B93">Parker et&#xa0;al. (2004)</xref>
</td>
<td valign="middle" align="center">Urease inhibitor (NBPT)</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">1 kg/ha</td>
<td valign="middle" align="center">26 to 13 &#xb5;g/m<sup>2</sup>/s</td>
<td valign="middle" align="center">49</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">Urease inhibitor (NBPT)</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">2 kg/ha</td>
<td valign="middle" align="center">26 to 9 &#xb5;g/m<sup>2</sup>/s</td>
<td valign="middle" align="center">68</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<xref ref-type="bibr" rid="B94">Parker et&#xa0;al. (2011)</xref>
</td>
<td valign="middle" align="center">Urease inhibitor (NBPT)</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">5 kg/ha initially and then doubled<break/>every 4 days to a maximum of 40 kg/ha</td>
<td valign="middle" align="center">40 to 12 &#xb5;g/m<sup>2</sup>/s</td>
<td valign="middle" align="center">73</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">Urease inhibitor (NBPT)</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">5 kg/ha</td>
<td valign="middle" align="center">40 to 11 &#xb5;g/m<sup>2</sup>/s</td>
<td valign="middle" align="center">70</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B24">Dawar et&#xa0;al. (2011)</xref>
</td>
<td valign="middle" align="center">Urease inhibitor (NBPT)</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">Urea coated with NBPT at 0.1% (w/w) of urea</td>
<td valign="middle" align="center">19 to 6 kg/ha</td>
<td valign="middle" align="center">69</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B95">Parker et&#xa0;al. (2016)</xref>
</td>
<td valign="middle" align="center">Urease inhibitor (NBPT)</td>
<td valign="middle" align="center">Chemiluminescence</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">1, 2, 4, 8, and 40 kg/ha</td>
<td valign="middle" align="center">31 to 30 &#xb5;g/m<sup>2</sup>/s<break/>(40 kg/ha data)</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">N/S</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B35">Forrestal et&#xa0;al. (2016)</xref>
</td>
<td valign="middle" align="center">Urease inhibitor (NBPT)</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Wind tunnels</td>
<td valign="middle" align="center">40 kg N/ha of urea + NBPT</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">79</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B60">Krol et&#xa0;al. (2020)</xref>
</td>
<td valign="middle" align="center">Urease inhibitor (NBPT)</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Integrated Horizontal flux</td>
<td valign="middle" align="center">20, 30, 40 kg N/ha of urea + NBPT and urea+ NBPT + NPPT</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">67</td>
<td valign="middle" align="center">N/A</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<xref ref-type="bibr" rid="B56">Hutchinson et&#xa0;al. (1982)</xref>
</td>
<td valign="middle" rowspan="2" align="center">Water application</td>
<td valign="middle" rowspan="2" align="center">Acid trap</td>
<td valign="middle" rowspan="2" align="center">Vertical gradient flux model</td>
<td valign="middle" align="center">60 mm precipitation</td>
<td valign="middle" align="center">42 to 25 &#xb5;g/m<sup>2</sup>/s</td>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">N/A</td>
</tr>
<tr>
<td valign="middle" align="center">After precipitation, surface drying for 2day</td>
<td valign="middle" align="center">25 to 65 &#xb5;g/m<sup>2</sup>/s</td>
<td valign="middle" align="center">Increased 160</td>
<td valign="middle" align="center">N/A</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B131">Todd et&#xa0;al. (2005)</xref>
</td>
<td valign="middle" align="center">Water application</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux gradient model</td>
<td valign="middle" align="center">Precipitation (Dose: N/A)</td>
<td valign="middle" align="center">93 to 55 &#xb5;g/m<sup>2</sup>/s</td>
<td valign="middle" align="center">41</td>
<td valign="middle" align="center">N/A</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B91">Pandrangi et&#xa0;al. (2003)</xref>
</td>
<td valign="middle" align="center">Water application</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">270 mL of water (at 9 day)</td>
<td valign="middle" align="center">8~16 to 10~18 &#xb5;g/m<sup>2</sup>/s</td>
<td valign="middle" align="center">Increased 26</td>
<td valign="middle" align="center">N/A</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B110">Saarij&#xe4;rvi et&#xa0;al. (2006)</xref>
</td>
<td valign="middle" align="center">Water application</td>
<td valign="middle" align="center">Passive-diffusional samplers</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">20 mm of water</td>
<td valign="middle" align="center">25 to 11 &#xb5;g/m<sup>2</sup>/s</td>
<td valign="middle" align="center">56</td>
<td valign="middle" align="center">N/A</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B37">Galles (2011)</xref>
</td>
<td valign="middle" align="center">Water application</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">5 mm of water</td>
<td valign="middle" align="center">451 to 335 &#xb5;g/m<sup>2</sup>/s<break/>(for 1 day data)</td>
<td valign="middle" align="center">27</td>
<td valign="middle" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B94">Parker et&#xa0;al. (2011)</xref>
</td>
<td valign="middle" align="center">Water application</td>
<td valign="middle" align="center">Acid trap</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">173 mL of water</td>
<td valign="middle" align="center">40 to 25 &#xb5;g/m<sup>2</sup>/s</td>
<td valign="middle" align="center">37</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B62">Lee et&#xa0;al. (2023)</xref>
</td>
<td valign="middle" align="center">Water application</td>
<td valign="middle" align="center">EC sensor</td>
<td valign="middle" align="center">Flux chamber</td>
<td valign="middle" align="center">5 mm of deionized water</td>
<td valign="middle" align="center">36 to 39 &#xb5;g/m<sup>2</sup>/s<break/>(by 4 days data)</td>
<td valign="middle" align="center">Increased 8</td>
<td valign="middle" align="center">&lt;0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>N/A, not available; N/S, not significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s6_2_2">
<label>6.2.2</label>
<title>Water application</title>
<p>Water sprinklers are recognized to decrease dust emissions and have been adopted by some to mitigate heat stress for cattle, but they have not been used to mitigate NH<sub>3</sub> from the beef cattle feedyard (<xref ref-type="bibr" rid="B12">Brandani et&#xa0;al., 2023</xref>). The mechanism of water application to mitigate NH<sub>3</sub> comes from a dilution effect, which could relate to the simple leaching of aqueous NH<sub>4</sub>
<sup>+</sup> away from the surface or absorption of volatilized NH<sub>3</sub>. <xref ref-type="bibr" rid="B56">Hutchinson et&#xa0;al. (1982)</xref> suggested that precipitation events cause a dramatic increase in the size of the reservoir available for NH<sub>3</sub> to exist in solution-diluting the NH<sub>4</sub>
<sup>+</sup> concentration and effectively decreasing the area of the air/water interface in the manure, the boundary at which volatilization occurs (40% NH<sub>3</sub> mitigation). However, a significant increase in NH<sub>3</sub> (160% NH<sub>3</sub> generation) was reported two days after precipitation, which leads us to question the temporal impact and whether water application is actually effective in mitigating NH<sub>3</sub> emissions in time scales relevant to feedyard management. Therefore, there is still a concern that it may cause more NH<sub>3</sub> volatilization in the long term by increasing the microbially mediated production of aqueous NH<sub>3</sub> within the water-filled pore space of the manure on the pen surface (<xref ref-type="bibr" rid="B62">Lee et&#xa0;al., 2023</xref>). As proof of this, a few studies have reported results contrary to the NH<sub>3</sub> mitigation with the water application (<xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>).</p>
<p>In summary, there is scientific agreement that the water application may mitigate NH<sub>3</sub> emissions (27~56%) under carefully controlled conditions and over short time scales. However, because of the lack of consensus on the use of water application, there is a concern that the NH<sub>3</sub> mitigation due to water sprinkling is temporary and generates more NH<sub>3</sub> during the evaporation process, especially when rapid evaporation of water occurs due to hot, windy weather. The impact of the water application on NH<sub>3</sub> emissions continues to be investigated and a clearer interpretation of this is expected to emerge in the future.</p>
</sec>
</sec>
</sec>
<sec id="s7" sec-type="discussion">
<label>7</label>
<title>Discussion</title>
<p>The current major hurdle facing cattle feedyards in applying the above BMPs solely for NH<sub>3</sub> mitigation is whether the practically achievable benefits justify their costs. To be specific, feed composition is made close to the requirements of cattle with safety margins, and the pre-excretion technologies (e.g., growth-promoting technologies) are used to increase the nutrient-use efficiency of cattle, minimizing the nutrient excretion in most feedyards. According to <xref ref-type="bibr" rid="B65">Legesse et&#xa0;al. (2018)</xref>, through such improvements in livestock management and in reproductive efficiency, NH<sub>3</sub> (kg) emitted per beef (kg) decreased 20% from 1981 to 2011. However, some studies have reported that the expansion of large-scale intensive livestock operations, such as CAFOs, has contributed to increasing total NH<sub>3</sub> emissions (<xref ref-type="bibr" rid="B65">Legesse et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B112">Schultz et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B153">Wyer et&#xa0;al., 2022</xref>). Therefore, to mitigate NH<sub>3</sub> emissions, higher-precision feeding and active use of pre- and post-excretion practices are necessary. However, overly strict implementation of precision feeding strategies may introduce unintended variability in livestock performance and increase operational costs due to reduced safety margins and the need to modify existing feedyard infrastructure. In addition, post-excretion BMPs constitute essentially unrecoverable expenses unless the BMP facilitates the production of a marketable product. Therefore, the benefits of the practices implemented to mitigate NH<sub>3</sub> emissions while bearing additional costs are an important factor in the feedyard&#x2019;s decision to implement BMP.</p>
<p>High ambient NH<sub>3</sub> concentrations (average 42 ppm) have been reported to have a negative impact on the bovine lungs in respiration chamber-scale experiments, leading to increased total white cell and mononucleated cell counts (p&lt; 0.05, <xref ref-type="bibr" rid="B2">Accioly et&#xa0;al., 2004</xref>). However, a knowledge gap exists on the effect of ambient NH<sub>3</sub> concentrations in the feedyard on animal productivity. Reported background concentrations of NH<sub>3</sub> at feedyards typically range from&lt;1 to 2000 &#xb5;g/m<sup>3</sup> (0&#x2013;3 ppm at 25 &#xb0;C, 1 atm; <xref ref-type="bibr" rid="B131">Todd et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B53">Hristov et&#xa0;al., 2011</xref>). However, as highlighted by <xref ref-type="bibr" rid="B53">Hristov et&#xa0;al. (2011)</xref>, the concentration of atmospheric NH<sub>3</sub> is highly variable in various forms (gas, particulate, and liquid) and depends on the presence of other compounds. Consequently, NH<sub>3</sub> concentrations are subject to considerable variability due to a combination of environmental and feedyard management factors, and under certain conditions, concentrations may reach levels that can potentially affect animal productivity. Additional research is needed to evaluate potential productivity improvement and its link to mitigating NH<sub>3</sub>. Such studies could support the necessity of NH<sub>3</sub> mitigation efforts and offer practical benefits for livestock operations.</p>
<p>Based on the results currently reported, the following additional benefits can be considered for the use of BMP related to NH<sub>3</sub> mitigation. Precision feeding and diet manipulation aims to provide nutrient supply more precisely with the nutrient requirements, thus the benefits include economic returns through reduced excretion to the environment and improved efficiency of resource utilization by leading to decreased feed intake and thereby decreased enteric CH<sub>4</sub> emissions (<xref ref-type="bibr" rid="B157">Zuidhof, 2020</xref>; <xref ref-type="bibr" rid="B39">Galyean and Hales, 2023</xref>). Growth-promoting technologies increase the efficiency of energy and nutrient use, thereby increasing animal productivity and mitigating environmental effects while reducing the amount of time required to finish cattle. As an example, ionophores, one of the growth-promoting technologies, may decrease protein degradation in the rumen, increase feed protein utilization, and reduce N losses (<xref ref-type="bibr" rid="B126">Tedeschi et&#xa0;al., 2003</xref>). In addition, it can decrease feed intake (4%) without affecting animal performance, and mitigate 25% of enteric CH<sub>4</sub> emissions (<xref ref-type="bibr" rid="B126">Tedeschi et&#xa0;al., 2003</xref>).</p>
<p>In the case of manure amendment, it is not directly related to animal performance, but it is related to benefits for manure value (C:N ratio) and the mitigation of other gases (H<sub>2</sub>S, GHGs, and VOCs). The C:N ratio in manure could vary greatly depending on diet, manure storage, manure management, and feedyard environments. It is generally reported that the C:N ratio of beef and dairy manure is 10 to 15:1 (<xref ref-type="bibr" rid="B90">Okopi et&#xa0;al., 2024</xref>). While close to the optimal C:N ratio (20 to 30:1) for net N mobilization through soil microorganisms (<xref ref-type="bibr" rid="B44">Hadas et&#xa0;al., 1992</xref>), manure C is insufficient in most cases. Manure amendments, which are a C source and particularly physical amendment, can improve C:N ratio and a MC (50-70%) for composting and land application. In addition, manure amendments have been reported to be effective in mitigating various gas emissions from cattle manure (<xref ref-type="bibr" rid="B151">Wheeler et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B119">Spiehs et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B58">Kaikiti et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B16">Chen et&#xa0;al., 2024</xref>). However, manure amendment could cause secondary air pollution from physical amendment (e.g., PM from biochar, <xref ref-type="bibr" rid="B40">Gelardi et&#xa0;al., 2019</xref>) or chemicals (e.g., CH<sub>4</sub> and H<sub>2</sub>S from aluminum sulfate, <xref ref-type="bibr" rid="B119">Spiehs et&#xa0;al., 2019</xref>) added to prevent NH<sub>3</sub> gas volatilization. Since research on manure amendments has focused on target gas mitigation, there has been little research on the generation of by-products or gases after application (<xref ref-type="bibr" rid="B70">Maurer et&#xa0;al., 2016</xref>). It is important to be cautious when using the amendments to avoid secondary, perverse effects.</p>
<p>Lastly, the practice of water application was proposed as a method to reduce heat stress in terms of animal production, but it could potentially improve feed efficiency during the summer (<xref ref-type="bibr" rid="B69">Mader and Davis, 2004</xref>). Water application may be a cost-effective solution for industry PM control in some circumstances (<xref ref-type="bibr" rid="B155">Yonkofski et&#xa0;al., 2019</xref>), and it has been reported to have the mitigation effect of other gases (GHGs such as CH<sub>4</sub> and N<sub>2</sub>O) as well (<xref ref-type="bibr" rid="B92">Parker et&#xa0;al., 2021</xref>). Precipitation, which is the natural way to apply water, was observed to mitigate the emission of CH<sub>4</sub> and N<sub>2</sub>O below detection levels for several days after the precipitation event in the feedyard (<xref ref-type="bibr" rid="B92">Parker et&#xa0;al., 2021</xref>). In lab-scale experiments, increased N<sub>2</sub>O emission has been observed after precipitation for several days (<xref ref-type="bibr" rid="B96">Parker et&#xa0;al., 2017</xref>, <xref ref-type="bibr" rid="B97">2018</xref>), but this phenomenon has not been observed on the field scale (<xref ref-type="bibr" rid="B92">Parker et&#xa0;al., 2021</xref>). Further research is still needed because there are concerns about more gas volatilization during the drying process after water application and practical research is necessary into how water can be applied to feedyards as precipitation to achieve beneficial effects.</p>
<p>The direction we should take to mitigate NH<sub>3</sub> emissions in feedyards is to maximize N-use efficiency of beef cattle by optimizing the pre-excretion management while simultaneously minimizing the environmental impacts using post-excretion management. To encourage the adoption of a given management practice, more research is needed to quantify its benefits, to describe as fully as possible the conditions under which those benefits may be realized in practice and at scale, to develop new promising practices, and to reckon transparently with a practice&#x2019;s perverse effects, if any.</p>
</sec>
<sec id="s8" sec-type="conclusions">
<label>8</label>
<title>Conclusion</title>
<p>NH<sub>3</sub> emitted from beef cattle feedyards is a high-profile environmental concern because of health hazards, its contribution to fine particulate formation, and contamination of air and surface waters. Mitigation of NH<sub>3</sub> emissions addresses social concerns, minimizes the risk of undesirable environmental events, and is important to the sustainability of the beef industry. In this review, we reported the state of the science concerning NH<sub>3</sub> emissions from beef cattle feedyards, methods for quantifying NH<sub>3</sub> emissions, NH<sub>3</sub> EF, and some management practices to mitigate NH<sub>3</sub>. Ammonia emissions primarily come from urinary urea in cattle manure on feedyard surfaces. A significant portion of the N in the manure is converted to NH<sub>4</sub>
<sup>+</sup> and is eventually volatilized to the atmosphere as NH<sub>3</sub>. In the past, constant EFs were used to inventory NH<sub>3</sub> emissions. Currently, NH<sub>3</sub> EF estimated by process-based mechanistic models reflecting various factors affecting NH<sub>3</sub> emissions in the feedyard environment are available. As process-based mechanistic models, the backward Lagrangian stochastic model was widely used to convert NH<sub>3</sub> concentration measurements into emissions in the beef cattle feedyard. This review of current literature indicated the average NH<sub>3</sub> emissions from the cattle feedyard as 119 g/head/day (ranging from 24 to 318 g/head/day), and the average NH<sub>3</sub> flux rate as 58 &#xb5;g/m<sup>2</sup>/s (ranging from 2 to 185 &#xb5;g/m<sup>2</sup>/s). Although it is agreed that more realistic NH<sub>3</sub> EF are being obtained using process-based models, there is still significant variation of estimated NH<sub>3</sub> EF depending on the diet composition, the manure management, and the feedyard environment. We note the need to improve inventories of NH<sub>3</sub> emissions into categories of manure management implemented and feedyard environment. Some mitigation strategies can be effective, such as manipulating the diet to reduce N excretion, increasing animal performance with growth-promoting technologies, and using manure amendments. Of those, precision diet feeding to meet, but not exceed, protein requirements appears to be the most practical way to reduce N losses. However, careful diet manipulation and additional research are needed to avoid unintended negative consequences for animal production.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="author-contributions">
<title>Author contributions</title>
<p>ML: Data curation, Formal Analysis, Investigation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. BA: Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. LT: Methodology, Resources, Validation, Writing &#x2013; review &amp; editing. JK: Methodology, Resources, Validation, Writing &#x2013; review &amp; editing. CB: Resources, Validation, Writing &#x2013; review &amp; editing. VG: Resources, Validation, Writing &#x2013; review &amp; editing. JS: Resources, Validation, Writing &#x2013; review &amp; editing. KC: Resources, Validation, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s10" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by the NRCS Conservation Innovation Grant (project number NR213A750013G037), and additional support was provided by the Colorado Livestock Association.</p>
</sec>
<sec id="s11" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s12" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s13" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s14" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fanim.2025.1608387/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fanim.2025.1608387/full#supplementary-material</ext-link>
</p><supplementary-material xlink:href="SupplementaryFile1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Aboagye</surname> <given-names>I. A.</given-names>
</name>
<name>
<surname>Cordeiro</surname> <given-names>M. R.</given-names>
</name>
<name>
<surname>McAllister</surname> <given-names>T. A.</given-names>
</name>
<name>
<surname>May</surname> <given-names>M. L.</given-names>
</name>
<name>
<surname>Hannon</surname> <given-names>S. J.</given-names>
</name>
<name>
<surname>Booker</surname> <given-names>C. W.</given-names>
</name>
<etal/>
</person-group>. (<year>2022</year>). <article-title>Environmental performance of commercial beef production systems utilizing conventional productivity-enhancing technologies</article-title>. <source>Trans. Anim. Sci.</source> <volume>6</volume>, <elocation-id>txac074</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/tas/txac074</pub-id>
</citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Accioly</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Taylor</surname> <given-names>E. G.</given-names>
</name>
<name>
<surname>Costa</surname> <given-names>N. D.</given-names>
</name>
<name>
<surname>Pethick</surname> <given-names>D. W.</given-names>
</name>
<name>
<surname>White</surname> <given-names>C. L.</given-names>
</name>
<name>
<surname>Pluske</surname> <given-names>J. R.</given-names>
</name>
<etal/>
</person-group>. (<year>2004</year>). <article-title>Effect of atmospheric ammonia on bovine lung</article-title>. <source>Sci. Access</source> <volume>1</volume>, <fpage>1</fpage>&#x2013;<lpage>4</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1071/SA0401001</pub-id>
</citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Aguado</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Noriega-Hevia</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Ferrer</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Seco</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Serralta</surname> <given-names>J.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>PLS-based soft-sensor to predict ammonium concentration evolution in hollow fibre membrane contactors for nitrogen recovery</article-title>. <source>J. Water Process Eng.</source> <volume>47</volume>, <elocation-id>102735</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jwpe.2022.102735</pub-id>
</citation>
</ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Archibeque</surname> <given-names>S. L.</given-names>
</name>
<name>
<surname>Freetly</surname> <given-names>H. C.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Ferrell</surname> <given-names>C. L.</given-names>
</name>
</person-group> (<year>2007</year>). <article-title>The influence of oscillating dietary protein concentrations on finishing cattle. II. Nutrient retention and ammonia emissions</article-title>. <source>J. Anim. Sci.</source> <volume>85</volume>, <fpage>1496</fpage>&#x2013;<lpage>1503</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2527/jas.2006-208</pub-id>
</citation>
</ref>
<ref id="B5">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Arogo</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Westerman</surname> <given-names>P. W.</given-names>
</name>
<name>
<surname>Heber</surname> <given-names>A. J.</given-names>
</name>
<name>
<surname>Robarge</surname> <given-names>W. P.</given-names>
</name>
<name>
<surname>Classen</surname> <given-names>J. J.</given-names>
</name>
</person-group> (<year>2006</year>). &#x201c;<article-title>Ammonia emissions from animal feeding operations</article-title>,&#x201d; in <conf-name>2006 ASABE Annual International Meeting</conf-name>. <fpage>1</fpage> (<publisher-loc>St. Joseph, Michigan</publisher-loc>: <publisher-name>American Society of Agricultural and Biological Engineers</publisher-name>). doi:&#xa0;<pub-id pub-id-type="doi">10.13031/2013.20247</pub-id>
</citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Baek</surname> <given-names>B. H.</given-names>
</name>
<name>
<surname>Todd</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Koziel</surname> <given-names>J. A.</given-names>
</name>
</person-group> (<year>2006</year>). <article-title>Ammonia and hydrogen sulphide flux and dry deposition velocity estimates using vertical gradient method at a commercial beef cattle feedlot</article-title>. <source>Int. J. Global Environ. Issues</source> <volume>6</volume>, <fpage>189</fpage>&#x2013;<lpage>203</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1504/IJGENVI.2006.010154</pub-id>
</citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Baldacchini</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Marchetti</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Montelatici</surname> <given-names>V.</given-names>
</name>
</person-group> (<year>1981</year>). <article-title>Diode laser measurements of NH3 absorption lines over the range 931&#x2013;954 cm&#x2013; 1</article-title>. <source>J. Mol. Spectrosc.</source> <volume>86</volume>, <fpage>115</fpage>&#x2013;<lpage>121</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/0022-2852(81)90109-0</pub-id>
</citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Batista</surname> <given-names>E. D.</given-names>
</name>
<name>
<surname>Detmann</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Titgemeyer</surname> <given-names>E. C.</given-names>
</name>
<name>
<surname>Valadares Filho</surname> <given-names>S. C.</given-names>
</name>
<name>
<surname>Valadares</surname> <given-names>R. F. D.</given-names>
</name>
<name>
<surname>Prates</surname> <given-names>L. L.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Effects of varying ruminally undegradable protein supplementation on forage digestion, nitrogen metabolism, and urea kinetics in Nellore cattle fed low-quality tropical forage</article-title>. <source>J. Anim. Sci.</source> <volume>94</volume>, <fpage>201</fpage>&#x2013;<lpage>216</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2527/jas.2015-9493</pub-id>
</citation>
</ref>
<ref id="B9">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Battye</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Battye</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Overcash</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Fudge</surname> <given-names>S.</given-names>
</name>
</person-group> (<year>1994</year>). <source>Development and selection of ammonia emission factors</source> (<publisher-loc>Washington D.C.</publisher-loc>: <publisher-name>U.S. Environmental Protection Agency, Contract number 68-D3-0034</publisher-name>).</citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Benedict</surname> <given-names>K. B.</given-names>
</name>
<name>
<surname>Day</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Schwandner</surname> <given-names>F. M.</given-names>
</name>
<name>
<surname>Kreidenweis</surname> <given-names>S. M.</given-names>
</name>
<name>
<surname>Schichtel</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Malm</surname> <given-names>W. C.</given-names>
</name>
<etal/>
</person-group>. (<year>2013</year>). <article-title>Observations of atmospheric reactive nitrogen species in Rocky Mountain National Park and across northern Colorado</article-title>. <source>Atmospheric Environ.</source> <volume>64</volume>, <fpage>66</fpage>&#x2013;<lpage>76</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.atmosenv.2012.08.066</pub-id>
</citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bonifacio</surname> <given-names>H. F.</given-names>
</name>
<name>
<surname>Maghirang</surname> <given-names>R. G.</given-names>
</name>
<name>
<surname>Razote</surname> <given-names>E. B.</given-names>
</name>
<name>
<surname>Trabue</surname> <given-names>S. L.</given-names>
</name>
<name>
<surname>Prueger</surname> <given-names>J. H.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Comparison of AERMOD and WindTrax dispersion models in determining PM10 emission rates from a beef cattle feedlot</article-title>. <source>J. Air Waste Manage. Assoc.</source> <volume>63</volume>, <fpage>545</fpage>&#x2013;<lpage>556</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/10962247.2013.768311</pub-id>
</citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Brandani</surname> <given-names>C. B.</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Auvermann</surname> <given-names>B. W.</given-names>
</name>
<name>
<surname>Parker</surname> <given-names>D. B.</given-names>
</name>
<name>
<surname>Casey</surname> <given-names>K. D.</given-names>
</name>
<name>
<surname>Crosman</surname> <given-names>E. T.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Mitigating ammonia deposition derived from open-lot livestock facilities into Colorado&#x2019;s Rocky Mountain National Park: State of the science</article-title>. <source>Atmosphere</source> <volume>14</volume>, <elocation-id>1469</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/atmos14101469</pub-id>
</citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bristow</surname> <given-names>A. W.</given-names>
</name>
<name>
<surname>Whitehead</surname> <given-names>D. C.</given-names>
</name>
<name>
<surname>Cockburn</surname> <given-names>J. E.</given-names>
</name>
</person-group> (<year>1992</year>). <article-title>Nitrogenous constituents in the urine of cattle, sheep and goats</article-title>. <source>J. Sci. Food Agric.</source> <volume>59</volume>, <fpage>387</fpage>&#x2013;<lpage>394</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jsfa.2740590316</pub-id>
</citation>
</ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bussink</surname> <given-names>D. W.</given-names>
</name>
<name>
<surname>Oenema</surname> <given-names>O.</given-names>
</name>
</person-group> (<year>1998</year>). <article-title>Ammonia volatilization from dairy farming systems in temperate areas: a review</article-title>. <source>Nutrient Cycling Agroecosystems</source> <volume>51</volume>, <fpage>19</fpage>&#x2013;<lpage>33</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1023/A:1009747109538</pub-id>
</citation>
</ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Calsamiglia</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Ferret</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Reynolds</surname> <given-names>C. K.</given-names>
</name>
<name>
<surname>Kristensen</surname> <given-names>N. B.</given-names>
</name>
<name>
<surname>Van Vuuren</surname> <given-names>A. M.</given-names>
</name>
</person-group> (<year>2010</year>). <article-title>Strategies for optimizing nitrogen use by ruminants</article-title>. <source>Animal</source> <volume>4</volume>, <fpage>1184</fpage>&#x2013;<lpage>1196</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1017/S1751731110000911</pub-id>
</citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Koziel</surname> <given-names>J. A.</given-names>
</name>
<name>
<surname>Bialowiec</surname> <given-names>A.</given-names>
</name>
<name>
<surname>O&#x2019;Brien</surname> <given-names>S. C.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>The potential role of biochar in mitigating gaseous emissions from livestock waste&#x2013;A mini-review</article-title>. <source>J. Environ. Manage.</source> <volume>370</volume>, <elocation-id>122692</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jenvman.2024.122692</pub-id>
</citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Bai</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Dassanayake</surname> <given-names>K. B.</given-names>
</name>
<name>
<surname>Denmead</surname> <given-names>O. T.</given-names>
</name>
<name>
<surname>Hill</surname> <given-names>J.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>A new cost-effective method to mitigate ammonia loss from intensive cattle feedlots: application of lignite</article-title>. <source>Sci. Rep.</source> <volume>5</volume>, <elocation-id>16689</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/srep16689</pub-id>
</citation>
</ref>
<ref id="B18">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Cofie</surname> <given-names>O.</given-names>
</name>
<name>
<surname>Nikiema</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Impraim</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Adamtey</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Paul</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Kon&#xe9;</surname> <given-names>D.</given-names>
</name>
</person-group> (<year>2016</year>). <source>Co-composting of solid waste and fecal sludge for nutrient and organic matter recovery</source> Vol. <volume>3</volume> (<publisher-name>IWMI. CGIAR Research program on Water, Land and Ecosystems</publisher-name>), <fpage>47</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.5337/2016.204</pub-id>
</citation>
</ref>
<ref id="B19">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
</person-group> (<year>2003</year>). &#x201c;<article-title>Precision feeding: Opportunities and limitations</article-title>,&#x201d; in <conf-name>Proc. Plains Nutr. Council Spring Conf. Publ. No. AREC, 03-13</conf-name>. (<publisher-loc>Texas</publisher-loc>).</citation>
</ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Clark</surname> <given-names>R. N.</given-names>
</name>
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Richardson</surname> <given-names>C. R.</given-names>
</name>
<name>
<surname>Gueye</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Greene</surname> <given-names>L. W.</given-names>
</name>
<etal/>
</person-group>. (<year>2005</year>). <article-title>Influence of dietary crude protein concentration and source on potential ammonia emissions from beef cattle manure</article-title>. <source>J. Anim. Sci.</source> <volume>83</volume>, <fpage>722</fpage>&#x2013;<lpage>731</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2527/2005.833722x</pub-id>
</citation>
</ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Defoor</surname> <given-names>P. J.</given-names>
</name>
<name>
<surname>Galyean</surname> <given-names>M. L.</given-names>
</name>
<name>
<surname>Duff</surname> <given-names>G. C.</given-names>
</name>
<name>
<surname>Gleghorn</surname> <given-names>J. F.</given-names>
</name>
</person-group> (<year>2006</year>). <article-title>Effects of phase-feeding of crude protein on performance, carcass characteristics, serum urea nitrogen concentrations, and manure nitrogen of finishing beef steers</article-title>. <source>J. Anim. Sci.</source> <volume>84</volume>, <fpage>3421</fpage>&#x2013;<lpage>3432</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2527/jas.2006-150</pub-id>
</citation>
</ref>
<ref id="B22">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
</person-group> (<year>2009</year>). &#x201c;<article-title>Nitrogen and phosphorus balance of beef cattle feedyards</article-title>,&#x201d; in <conf-name>Proceedings of the Texas animal manure management issues conference</conf-name>, <conf-loc>TX, USA</conf-loc>. <fpage>17</fpage>&#x2013;<lpage>24</lpage> (<publisher-loc>St. Joseph, Michigan</publisher-loc>: <publisher-name>Round Rock</publisher-name>).</citation>
</ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Colmenero</surname> <given-names>J. O.</given-names>
</name>
<name>
<surname>Broderick</surname> <given-names>G. A.</given-names>
</name>
</person-group> (<year>2006</year>). <article-title>Effect of dietary crude protein concentration on milk production and nitrogen utilization in lactating dairy cows</article-title>. <source>J. Dairy Sci.</source> <volume>89</volume>, <fpage>1704</fpage>&#x2013;<lpage>1712</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3168/jds.S0022-0302(06)72238-X</pub-id>
</citation>
</ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dawar</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Zaman</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Rowarth</surname> <given-names>J. S.</given-names>
</name>
<name>
<surname>Blennerhassett</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Turnbull</surname> <given-names>M. H</given-names>
</name>
</person-group>. (<year>2011</year>). <article-title>Urease inhibitor reduces N losses and improves plant-bioavailability of urea applied in fine particle and granular forms under field conditions</article-title>. <source>Agriculture, Ecosystems &amp; Environment</source> <volume>144</volume> (<issue>1</issue>), <fpage>41</fpage>&#x2013;<lpage>50</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.agee.2011.08.007</pub-id>
</citation>
</ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Denmead</surname> <given-names>O. T.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Griffith</surname> <given-names>D. W. T.</given-names>
</name>
<name>
<surname>Loh</surname> <given-names>Z. M.</given-names>
</name>
<name>
<surname>Bai</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Naylor</surname> <given-names>T.</given-names>
</name>
</person-group> (<year>2008</year>). <article-title>Emissions of the indirect greenhouse gases NH3 and NOx from Australian beef cattle feedlots. Australian</article-title>. <source>J. Exp. Agric.</source> <volume>48</volume>, <fpage>213</fpage>&#x2013;<lpage>218</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1071/EA07276</pub-id>
</citation>
</ref>
<ref id="B26">
<citation citation-type="web">
<person-group person-group-type="author">
<name>
<surname>Eggleston</surname> <given-names>H. S.</given-names>
</name>
<name>
<surname>Buendia</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Miwa</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Ngara</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Tanabe</surname> <given-names>K.</given-names>
</name>
</person-group> (<year>2006</year>). <article-title>2006 IPCC guidelines for national greenhouse gas inventories</article-title> (<publisher-loc>Kanagawa, Japan</publisher-loc>: <publisher-name>U.S. Department of Energy Office of Scientific and Technical Information</publisher-name>). Available at: <uri xlink:href="https://www.osti.gov/etdeweb/biblio/20880391">https://www.osti.gov/etdeweb/biblio/20880391</uri>.</citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Emerson</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Russo</surname> <given-names>R. C.</given-names>
</name>
<name>
<surname>Lund</surname> <given-names>R. E.</given-names>
</name>
<name>
<surname>Thurston</surname> <given-names>R. V.</given-names>
</name>
</person-group> (<year>1975</year>). <article-title>Aqueous ammonia equilibrium calculations: effect of pH and temperature</article-title>. <source>J. Fisheries Board Canada</source> <volume>32</volume>, <fpage>2379</fpage>&#x2013;<lpage>2383</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1139/f75-274</pub-id>
</citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Erickson</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Klopfenstein</surname> <given-names>T.</given-names>
</name>
</person-group> (<year>2010</year>). <article-title>Nutritional and management methods to decrease nitrogen losses from beef feedlots</article-title>. <source>J. Anim. Sci.</source> <volume>88</volume>, <fpage>E172</fpage>&#x2013;<lpage>E180</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2527/jas.2009-2358</pub-id>
</citation>
</ref>
<ref id="B29">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Erickson</surname> <given-names>G. E.</given-names>
</name>
<name>
<surname>Milton</surname> <given-names>C. T.</given-names>
</name>
<name>
<surname>Klopfenstein</surname> <given-names>T. J.</given-names>
</name>
</person-group> (<year>2000</year>). &#x201c;<article-title>Dietary protein effects on nitrogen excretion and volatilization in open-dirt feedlots</article-title>,&#x201d; in <conf-name>Animal, agricultural and food processsing wastes. Proceedings of the Eighth International Symposium</conf-name>, <conf-loc>Des Moines, Iowa, USA</conf-loc>, Vol. <volume>9</volume>. <fpage>297</fpage>&#x2013;<lpage>304</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.5555/20013011378</pub-id>
</citation>
</ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Faulkner</surname> <given-names>W. B.</given-names>
</name>
<name>
<surname>Shaw</surname> <given-names>B. W.</given-names>
</name>
</person-group> (<year>2008</year>). <article-title>Review of ammonia emission factors for United States animal agriculture</article-title>. <source>Atmospheric Environ.</source> <volume>42</volume>, <fpage>6567</fpage>&#x2013;<lpage>6574</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.atmosenv.2008.04.021</pub-id>
</citation>
</ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
<name>
<surname>Wilson</surname> <given-names>J. D.</given-names>
</name>
</person-group> (<year>2005</year>). <article-title>Estimating tracer emissions with a backward Lagrangian stochastic technique</article-title>. <source>Micrometeorol. Agric. Syst.</source> <volume>47</volume>, <fpage>513</fpage>&#x2013;<lpage>531</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2134/agronmonogr47.c22</pub-id>
</citation>
</ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
<name>
<surname>Wilson</surname> <given-names>J. D.</given-names>
</name>
<name>
<surname>Harper</surname> <given-names>L. A.</given-names>
</name>
<name>
<surname>Crenna</surname> <given-names>B. P.</given-names>
</name>
<name>
<surname>Sharpe</surname> <given-names>R. R.</given-names>
</name>
</person-group> (<year>2004</year>). <article-title>Deducing ground-to-air emissions from observed trace gas concentrations: A field trial</article-title>. <source>J. Appl. Meteorol. Climatol.</source> <volume>43</volume>, <fpage>487</fpage>&#x2013;<lpage>502</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1175/1520-0450(2004)043&lt;0487:DGEFOT&gt;2.0.CO;2</pub-id>
</citation>
</ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
<name>
<surname>Wilson</surname> <given-names>J. D.</given-names>
</name>
<name>
<surname>Harper</surname> <given-names>L. A.</given-names>
</name>
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
</person-group> (<year>2007</year>). <article-title>Determining ammonia emissions from a cattle feedlot with an inverse dispersion technique</article-title>. <source>Agric. For. Meteorol.</source> <volume>144</volume>, <fpage>139</fpage>&#x2013;<lpage>155</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.agrformet.2007.02.006</pub-id>
</citation>
</ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
<name>
<surname>Wilson</surname> <given-names>J. D.</given-names>
</name>
<name>
<surname>Yee</surname> <given-names>E.</given-names>
</name>
</person-group> (<year>1995</year>). <article-title>Backward-time Lagrangian stochastic dispersion models and their application to estimate gaseous emissions</article-title>. <source>J. Appl. Meteorol. Climatol.</source> <volume>34</volume>, <fpage>1320</fpage>&#x2013;<lpage>1332</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1175/1520-0450(1995)034&lt;1320:BTLSDM&gt;2.0.CO;2</pub-id>
</citation>
</ref>
<ref id="B35">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Forrestal</surname> <given-names>P. J.</given-names>
</name>
<name>
<surname>Harty</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Carolan</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Lanigan</surname> <given-names>G. J.</given-names>
</name>
<name>
<surname>Watson</surname> <given-names>C. J.</given-names>
</name>
<name>
<surname>Laughlin</surname> <given-names>R. J</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Ammonia emissions from urea, stabilized urea and calcium ammonium nitrate: insights into loss abatement intemperate grassland</article-title>. <source>Soil Use and Management</source> <volume>32</volume>, doi:&#xa0;92-100. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/sum.12232</pub-id>
</citation>
</ref>
<ref id="B36">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Freney</surname> <given-names>J. R.</given-names>
</name>
<name>
<surname>Simpson</surname> <given-names>J. R.</given-names>
</name>
</person-group> (<year>2013</year>). <source>Gaseous loss of nitrogen from plant-soil systems</source> Vol. <volume>9</volume> (<publisher-name>Springer Science &amp; Business Media</publisher-name>). doi:&#xa0;<pub-id pub-id-type="doi">10.1007/978-94-017-1662-8</pub-id>
</citation>
</ref>
<ref id="B37">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Galles</surname> <given-names>K. J.</given-names>
</name>
</person-group> (<year>2011</year>). <source>Practical strategies for reducing ammonia volatilization from feedlots along Colorado&#x2019;s Front Range</source>. (Master thesis), <publisher-name>Colorado State University, Fort Collins, Clorado</publisher-name>.</citation>
</ref>
<ref id="B38">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Galles</surname> <given-names>K. J.</given-names>
</name>
<name>
<surname>Ham</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Westover</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Stratton</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Wagner</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Engle</surname> <given-names>T.</given-names>
</name>
<etal/>
</person-group>. (<year>2011</year>). <article-title>Influence of reduced nitrogen diets on ammonia emissions from cattle feedlot pens</article-title>. <source>Atmosphere</source> <volume>2</volume>, <fpage>655</fpage>&#x2013;<lpage>670</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/atmos2040655</pub-id>
</citation>
</ref>
<ref id="B39">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Galyean</surname> <given-names>M. L.</given-names>
</name>
<name>
<surname>Hales</surname> <given-names>K. E.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Feeding management strategies to mitigate methane and improve production efficiency in feedlot cattle</article-title>. <source>Animals</source> <volume>13</volume>, <elocation-id>758</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ani13040758</pub-id>
</citation>
</ref>
<ref id="B40">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gelardi</surname> <given-names>D. L.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Parikh</surname> <given-names>S. J.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>An emerging environmental concern: Biochar-induced dust emissions and their potentially toxic properties</article-title>. <source>Sci. Total Environ.</source> <volume>678</volume>, <fpage>813</fpage>&#x2013;<lpage>820</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.scitotenv.2019.05.007</pub-id>
</citation>
</ref>
<ref id="B41">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Golston</surname> <given-names>L. M.</given-names>
</name>
<name>
<surname>Pan</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Tao</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Zondlo</surname> <given-names>M. A.</given-names>
</name>
<name>
<surname>Eilerman</surname> <given-names>S. J.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Variability of ammonia and methane emissions from animal feeding operations in northeastern Colorado</article-title>. <source>Environ. Sci. Technol.</source> <volume>54</volume>, <fpage>11015</fpage>&#x2013;<lpage>11024</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/acs.est.0c00301</pub-id>
</citation>
</ref>
<ref id="B42">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Goodliff</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Fletcher</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Kliewer</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Forsythe</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Jones</surname> <given-names>A.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Detection of non-Gaussian behavior using machine learning techniques: a case study on the Lorenz 63 model</article-title>. <source>J. Geophysical Research: Atmospheres</source> <volume>125</volume>, <elocation-id>e2019JD031551</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1029/2019JD031551</pub-id>
</citation>
</ref>
<ref id="B43">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gu</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Van Dingenen</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Vieno</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Van Grinsven</surname> <given-names>H. J.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>X.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Abating ammonia is more cost-effective than nitrogen oxides for mitigating PM2.5 air pollution</article-title>. <source>Science</source> <volume>374</volume>, <fpage>758</fpage>&#x2013;<lpage>762</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.abf8623</pub-id>
</citation>
</ref>
<ref id="B44">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hadas</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Feigenbaum</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Molina</surname> <given-names>J. A. E.</given-names>
</name>
<name>
<surname>Clapp</surname> <given-names>C. E.</given-names>
</name>
</person-group> (<year>1992</year>). <article-title>Factors affecting nitrogen immobilization in soil as estimated by simulation models</article-title>. <source>Soil Sci. Soc. America J.</source> <volume>56</volume>, <fpage>1481</fpage>&#x2013;<lpage>1486</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2136/sssaj1992.03615995005600050024x</pub-id>
</citation>
</ref>
<ref id="B45">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Harper</surname> <given-names>L. A.</given-names>
</name>
</person-group> (<year>2005</year>). <article-title>Ammonia: measurement issues</article-title>. <source>Micrometeorol. Agric. Syst.</source> <volume>47</volume>, <fpage>345</fpage>&#x2013;<lpage>379</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2134/agronmonogr47.c15</pub-id>
</citation>
</ref>
<ref id="B46">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Harper</surname> <given-names>L. A.</given-names>
</name>
<name>
<surname>Denmead</surname> <given-names>O. T.</given-names>
</name>
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Micrometeorological techniques for measurement of enteric greenhouse gas emissions</article-title>. <source>Anim. Feed Sci. Technol.</source> <volume>166</volume>, <fpage>227</fpage>&#x2013;<lpage>239</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.anifeedsci.2011.04.013</pub-id>
</citation>
</ref>
<ref id="B47">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Harper</surname> <given-names>L. A.</given-names>
</name>
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
<name>
<surname>Weaver</surname> <given-names>K. H.</given-names>
</name>
<name>
<surname>Wilson</surname> <given-names>J. D.</given-names>
</name>
</person-group> (<year>2010</year>b). <article-title>The effect of biofuel production on swine farm methane and ammonia emissions</article-title>. <source>J. Environ. Qual.</source> <volume>39</volume>, <fpage>1984</fpage>&#x2013;<lpage>1992</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2134/jeq2010.0172</pub-id>
</citation>
</ref>
<ref id="B48">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Harper</surname> <given-names>L. A.</given-names>
</name>
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
<name>
<surname>Wilson</surname> <given-names>J. D.</given-names>
</name>
</person-group> (<year>2010</year>a). <article-title>Ammonia emissions from broiler production in the San Joaquin Valley</article-title>. <source>Poultry Sci.</source> <volume>89</volume>, <fpage>1802</fpage>&#x2013;<lpage>1814</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3382/ps.2010-00718</pub-id>
</citation>
</ref>
<ref id="B49">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Harper</surname> <given-names>L. A.</given-names>
</name>
<name>
<surname>Sharpe</surname> <given-names>R. R.</given-names>
</name>
<name>
<surname>Parkin</surname> <given-names>T. B.</given-names>
</name>
<name>
<surname>De Visscher</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Van Cleemput</surname> <given-names>O.</given-names>
</name>
<name>
<surname>Byers</surname> <given-names>F. M.</given-names>
</name>
</person-group> (<year>2004</year>). <article-title>Nitrogen cycling through swine production systems: Ammonia, dinitrogen, and nitrous oxide emissions</article-title>. <source>J. Environ. Qual.</source> <volume>33</volume>, <fpage>1189</fpage>&#x2013;<lpage>1201</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2134/jeq2004.1189</pub-id>
</citation>
</ref>
<ref id="B50">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hermanussen</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Bizzarri</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Baldacchini</surname> <given-names>G.</given-names>
</name>
</person-group> (<year>1986</year>). <article-title>Diode laser measurements of ammonia absorption lines over the range 620&#x2013;740 cm&#x2013; 1</article-title>. <source>J. Mol. Spectrosc.</source> <volume>119</volume>, <fpage>291</fpage>&#x2013;<lpage>298</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/0022-2852(86)90025-1</pub-id>
</citation>
</ref>
<ref id="B51">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Horton</surname> <given-names>H. R.</given-names>
</name>
<name>
<surname>Moran</surname> <given-names>L. A.</given-names>
</name>
<name>
<surname>Scrimgeour</surname> <given-names>K. G.</given-names>
</name>
<name>
<surname>Perry</surname> <given-names>M. D.</given-names>
</name>
<name>
<surname>Rawn</surname> <given-names>J. D.</given-names>
</name>
</person-group> (<year>2006</year>). &#x201c;<article-title>Principles of biochemistry</article-title>,&#x201d; in <source>Principles of biochemistry</source> (<publisher-loc>New Jersey</publisher-loc>: <publisher-name>Pearson College Div</publisher-name>), <fpage>852</fpage>&#x2013;<lpage>852</lpage>.</citation>
</ref>
<ref id="B52">
<citation citation-type="web">
<person-group person-group-type="author">
<name>
<surname>Hribar</surname> <given-names>C.</given-names>
</name>
</person-group> (<year>2010</year>). <article-title>Understanding concentrated animal feeding operations and their impact on communities</article-title> (<publisher-loc>National Association of Local Boards of Health, Bowling Green, Ohio</publisher-loc>: <publisher-name>Centers for Disease Control and Prevention</publisher-name>). Available at: <uri xlink:href="https://stacks.cdc.gov/view/cdc/59792">https://stacks.cdc.gov/view/cdc/59792</uri>.</citation>
</ref>
<ref id="B53">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hristov</surname> <given-names>A. N.</given-names>
</name>
<name>
<surname>Hanigan</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Todd</surname> <given-names>R.</given-names>
</name>
<name>
<surname>McAllister</surname> <given-names>T. A.</given-names>
</name>
<name>
<surname>Ndegwa</surname> <given-names>P. M.</given-names>
</name>
<etal/>
</person-group>. (<year>2011</year>). <article-title>Ammonia emissions from dairy farms and beef feedlots</article-title>. <source>Can. J. Anim. Sci.</source> <volume>91</volume>, <fpage>1</fpage>&#x2013;<lpage>35</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.4141/CJAS10034</pub-id>
</citation>
</ref>
<ref id="B54">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Hristov</surname> <given-names>A. N.</given-names>
</name>
<name>
<surname>Jouany</surname> <given-names>J. P.</given-names>
</name>
</person-group> (<year>2005</year>). &#x201c;<article-title>Factors affecting the efficiency of nitrogen utilization in the rumen</article-title>,&#x201d; in <source>Nitrogen and phosphorus nutrition of cattle: reducing the environmental impact of cattle operations</source>, (<publisher-name>CABI Digital Library</publisher-name>) <fpage>117</fpage>&#x2013;<lpage>166</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1079/9780851990132.0117</pub-id>
</citation>
</ref>
<ref id="B55">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hutcheson</surname> <given-names>J. P.</given-names>
</name>
<name>
<surname>Johnson</surname> <given-names>D. E.</given-names>
</name>
<name>
<surname>Gerken</surname> <given-names>C. L.</given-names>
</name>
<name>
<surname>Morgan</surname> <given-names>J. B.</given-names>
</name>
<name>
<surname>Tatum</surname> <given-names>J. D.</given-names>
</name>
</person-group> (<year>1997</year>). <article-title>Anabolic implant effects on visceral organ mass, chemical body composition, and estimated energetic efficiency in cloned (genetically identical) beef steers</article-title>. <source>J. Anim. Sci.</source> <volume>75</volume>, <fpage>2620</fpage>&#x2013;<lpage>2626</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2527/1997.75102620x</pub-id>
</citation>
</ref>
<ref id="B56">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hutchinson</surname> <given-names>G. L.</given-names>
</name>
<name>
<surname>Mosier</surname> <given-names>A. R.</given-names>
</name>
<name>
<surname>Andre</surname> <given-names>C. E.</given-names>
</name>
</person-group> (<year>1982</year>). <article-title>Ammonia and amine emissions from a large cattle feedlot</article-title>. <source>J. Environ. Qual.</source> <volume>11</volume>, <fpage>288</fpage>&#x2013;<lpage>293</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2134/jeq1982.00472425001100020028x</pub-id>
</citation>
</ref>
<ref id="B57">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>James</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Meyer</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Esparza</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Depeters</surname> <given-names>E. J.</given-names>
</name>
<name>
<surname>Perez-Monti</surname> <given-names>H.</given-names>
</name>
</person-group> (<year>1999</year>). <article-title>Effects of dietary nitrogen manipulation on ammonia volatilization from manure from Holstein heifers</article-title>. <source>J. Dairy Sci.</source> <volume>82</volume>, <fpage>2430</fpage>&#x2013;<lpage>2439</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3168/jds.S0022-0302(99)75494-9</pub-id>
</citation>
</ref>
<ref id="B58">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kaikiti</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Stylianou</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Agapiou</surname> <given-names>A.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Use of biochar for the sorption of volatile organic compounds (VOCs) emitted from cattle manure</article-title>. <source>Environ. Sci. pollut. Res.</source> <volume>28</volume>, <fpage>59141</fpage>&#x2013;<lpage>59149</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s11356-020-09545-y</pub-id>
</citation>
</ref>
<ref id="B59">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Koziel</surname> <given-names>J. A.</given-names>
</name>
<name>
<surname>Baek</surname> <given-names>B. H.</given-names>
</name>
<name>
<surname>Spinhirne</surname> <given-names>J. P.</given-names>
</name>
<name>
<surname>Parker</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
</person-group> (<year>2004</year>). &#x201c;<article-title>Emissions of ammonia and hydrogen sulfide from beef cattle pens in Texas</article-title>,&#x201d; in <conf-name>In the proceedings of the AgEng, &#x2018;Engineering the Future&#x2019; conference</conf-name>, <conf-loc>Leuven, Belgium</conf-loc>.</citation>
</ref>
<ref id="B60">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Krol</surname> <given-names>D. J.</given-names>
</name>
<name>
<surname>Forrestal</surname> <given-names>P. J.</given-names>
</name>
<name>
<surname>Wall</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Lanigan</surname> <given-names>G. J.</given-names>
</name>
<name>
<surname>Sanz-Gomez</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Richards</surname> <given-names>K. G</given-names>
</name>
</person-group>. (<year>2020</year>). <article-title>Nitrogen fertilisers with urease inhibitors reduce nitrous oxide and ammonia losses, while retaining yield in temperate grassland</article-title>. <source>Sci. Total Environ</source>. <volume>725</volume>, <elocation-id>138329</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.scitotenv.2020.138329</pub-id>
</citation>
</ref>
<ref id="B61">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lean</surname> <given-names>I. J.</given-names>
</name>
<name>
<surname>Thompson</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Dunshea</surname> <given-names>F. R.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>A meta-analysis of zilpaterol and ractopamine effects on feedlot performance, carcass traits and shear strength of meat in cattle</article-title>. <source>PloS One</source> <volume>9</volume>, <elocation-id>e115904</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0115904</pub-id>
</citation>
</ref>
<ref id="B62">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Brandani</surname> <given-names>C. B.</given-names>
</name>
<name>
<surname>Bush</surname> <given-names>K. J.</given-names>
</name>
<name>
<surname>Ferguson</surname> <given-names>G. B.</given-names>
</name>
<name>
<surname>Willis</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Campbell</surname> <given-names>T. N.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). &#x201c;<article-title>The effect of water application on ammonia emissions from open-lot livestock-feeding surfaces</article-title>,&#x201d; in <conf-name>2023 ASABE Annual International Meeting</conf-name> (<publisher-loc>St. Joseph, Michigan</publisher-loc>: <publisher-name>American Society of Agricultural and Biological Engineers</publisher-name>). doi:&#xa0;<pub-id pub-id-type="doi">10.13031/aim.223011050</pub-id>
</citation>
</ref>
<ref id="B63">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Hristov</surname> <given-names>A. N.</given-names>
</name>
</person-group> (<year>2010</year>). <article-title>Origin of ammonia nitrogen volatilized from dairy manure</article-title>. <source>J. Dairy Sci.</source> <volume>93</volume>, <fpage>691</fpage>&#x2013;<lpage>691</lpage>.</citation>
</ref>
<ref id="B64">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Hristov</surname> <given-names>A. N.</given-names>
</name>
<name>
<surname>Silva</surname> <given-names>S.</given-names>
</name>
</person-group> (<year>2009</year>). <article-title>Effect of ammonia volatilization on manure nitrogen isotope composition</article-title>. <source>J. Dairy Sci.</source> <volume>92</volume>, <fpage>146</fpage>.</citation>
</ref>
<ref id="B65">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Legesse</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Kroebel</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Alemu</surname> <given-names>A. W.</given-names>
</name>
<name>
<surname>Ominski</surname> <given-names>K. H.</given-names>
</name>
<name>
<surname>McGeough</surname> <given-names>E. J.</given-names>
</name>
<name>
<surname>Beauchemin</surname> <given-names>K. A.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Effect of changes in management practices and animal performance on ammonia emissions from Canadian beef production in 1981 as compared with 2011</article-title>. <source>Can. J. Anim. Sci.</source> <volume>98</volume>, <fpage>833</fpage>&#x2013;<lpage>844</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1139/cjas-2017-0184</pub-id>
</citation>
</ref>
<ref id="B66">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Du</surname> <given-names>K.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Comparisons of forward-in-time and backward-in-time Lagrangian stochastic dispersion models for micro-scale atmospheric dispersion</article-title>. <source>J. Air Waste Manage. Assoc.</source> <volume>70</volume>, <fpage>425</fpage>&#x2013;<lpage>435</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/10962247.2020.1728424</pub-id>
</citation>
</ref>
<ref id="B67">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Xin</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Burns</surname> <given-names>R. T.</given-names>
</name>
<name>
<surname>Hoff</surname> <given-names>S. J.</given-names>
</name>
<name>
<surname>Harmon</surname> <given-names>J. D.</given-names>
</name>
<name>
<surname>Jacobson</surname> <given-names>L. D.</given-names>
</name>
<etal/>
</person-group>. (<year>2008</year>). &#x201c;<article-title>Ammonia and PM emissions from a tom Turkey barn in Iowa</article-title>,&#x201d; in <conf-name>2008 ASABE Annual International Meeting</conf-name> (<publisher-loc>St. Joseph, Michigan</publisher-loc>: <publisher-name>American Society of Agricultural and Biological Engineers</publisher-name>). doi:&#xa0;<pub-id pub-id-type="doi">10.13031/2013.24972</pub-id>
</citation>
</ref>
<ref id="B68">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lupis</surname> <given-names>S. G.</given-names>
</name>
<name>
<surname>Galles</surname> <given-names>K. J.</given-names>
</name>
<name>
<surname>Ham</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Stratton</surname> <given-names>J. J.</given-names>
</name>
<name>
<surname>Davis</surname> <given-names>J. G.</given-names>
</name>
<name>
<surname>Embertson</surname> <given-names>N.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Best management practices for reducing ammonia emissions: feedlot pen management</article-title>. <source>Environment</source> <volume>40</volume>, <fpage>5137</fpage>&#x2013;<lpage>5145</lpage>.</citation>
</ref>
<ref id="B69">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mader</surname> <given-names>T. L.</given-names>
</name>
<name>
<surname>Davis</surname> <given-names>M. S.</given-names>
</name>
</person-group> (<year>2004</year>). <article-title>Effect of management strategies on reducing heat stress of feedlot cattle: feed and water intake</article-title>. <source>J. Anim. Sci.</source> <volume>82</volume>, <fpage>3077</fpage>&#x2013;<lpage>3087</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2527/2004.82103077x</pub-id>
</citation>
</ref>
<ref id="B70">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Maurer</surname> <given-names>D. L.</given-names>
</name>
<name>
<surname>Koziel</surname> <given-names>J. A.</given-names>
</name>
<name>
<surname>Harmon</surname> <given-names>J. D.</given-names>
</name>
<name>
<surname>Hoff</surname> <given-names>S. J.</given-names>
</name>
<name>
<surname>Rieck-Hinz</surname> <given-names>A. M.</given-names>
</name>
<name>
<surname>Andersen</surname> <given-names>D. S.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Summary of performance data for technologies to control gaseous, odor, and particulate emissions from livestock operations: Air management practices assessment tool (AMPAT)</article-title>. <source>Data Brief</source> <volume>7</volume>, <fpage>1413</fpage>&#x2013;<lpage>1429</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.dib.2016.03.070</pub-id>
</citation>
</ref>
<ref id="B71">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>McGinn</surname> <given-names>S. M.</given-names>
</name>
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Ammonia and greenhouse gas emissions at beef cattle feedlots in Alberta Canada</article-title>. <source>Agric. For. Meteorol.</source> <volume>258</volume>, <fpage>43</fpage>&#x2013;<lpage>49</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.agrformet.2018.01.024</pub-id>
</citation>
</ref>
<ref id="B72">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>McGinn</surname> <given-names>S. M.</given-names>
</name>
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
<name>
<surname>Crenna</surname> <given-names>B. P.</given-names>
</name>
<name>
<surname>Beauchemin</surname> <given-names>K. A.</given-names>
</name>
<name>
<surname>Coates</surname> <given-names>T.</given-names>
</name>
</person-group> (<year>2007</year>). <article-title>Quantifying ammonia emissions from a cattle feedlot using a dispersion model</article-title>. <source>J. Environ. Qual.</source> <volume>36</volume>, <fpage>1585</fpage>&#x2013;<lpage>1590</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2134/jeq2007.0167</pub-id>
</citation>
</ref>
<ref id="B73">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>McGinn</surname> <given-names>S. M.</given-names>
</name>
<name>
<surname>Janzen</surname> <given-names>H. H.</given-names>
</name>
<name>
<surname>Coates</surname> <given-names>T. W.</given-names>
</name>
<name>
<surname>Beauchemin</surname> <given-names>K. A.</given-names>
</name>
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Ammonia emission from a beef cattle feedlot and its local dry deposition and re-emission</article-title>. <source>J. Environ. Qual.</source> <volume>45</volume>, <fpage>1178</fpage>&#x2013;<lpage>1185</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2134/jeq2016.01.0009</pub-id>
</citation>
</ref>
<ref id="B74">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mejia Turcios</surname> <given-names>S. E</given-names>
</name>
</person-group>. (<year>2024</year>). <article-title>Evaluation of different approaches to reduce greenhouse gases and air pollutants from feedlot cattle production. Doctoral dissertation</article-title>, <publisher-loc>UC Davis, CA, US.</publisher-loc>
</citation>
</ref><ref id="B75">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Menezes</surname> <given-names>A. C. B.</given-names>
</name>
<name>
<surname>Valadares Filho</surname> <given-names>S. C.</given-names>
</name>
<name>
<surname>e Silva</surname> <given-names>L. C.</given-names>
</name>
<name>
<surname>Pacheco</surname> <given-names>M. V. C.</given-names>
</name>
<name>
<surname>Pereira</surname> <given-names>J. M. V.</given-names>
</name>
<name>
<surname>Rotta</surname> <given-names>P. P.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Does a reduction in dietary crude protein content affect performance, nutrient requirements, nitrogen losses, and methane emissions in finishing Nellore bulls</article-title>? <source>Agriculture Ecosyst. Environ.</source> <volume>223</volume>, <fpage>239</fpage>&#x2013;<lpage>249</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.agee.2016.03.015</pub-id>
</citation>
</ref>
<ref id="B76">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Meng</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Han</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Jia</surname> <given-names>X.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Summertime ambient ammonia and its effects on ammonium aerosol in urban Beijing, China</article-title>. <source>Sci. Total Environ.</source> <volume>579</volume>, <fpage>1521</fpage>&#x2013;<lpage>1530</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.scitotenv.2016.11.159</pub-id>
</citation>
</ref>
<ref id="B77">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Mohiuddin</surname> <given-names>S. S.</given-names>
</name>
<name>
<surname>Khattar</surname> <given-names>D.</given-names>
</name>
</person-group> (<year>2019</year>). <source>Biochemistry, ammonia</source> (<publisher-loc>Europe</publisher-loc>: <publisher-name>PMC</publisher-name>).</citation>
</ref>
<ref id="B78">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Montes</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Rotz</surname> <given-names>C. A.</given-names>
</name>
<name>
<surname>Chaoui</surname> <given-names>H.</given-names>
</name>
</person-group> (<year>2009</year>). &#x201c;<article-title>Process modeling of ammonia volatilization from ammonium solution and manure surfaces: a review with recommended models</article-title>,&#x201d; in <conf-name>2009 ASABE Annual International Meeting</conf-name>, Vol. <volume>52</volume>. <fpage>1707</fpage>&#x2013;<lpage>1720</lpage> (<publisher-loc>St. Joseph, Michigan</publisher-loc>: <publisher-name>American Society of Agricultural and Biological Engineers</publisher-name>). doi:&#xa0;<pub-id pub-id-type="doi">10.13031/2013.29133</pub-id>
</citation>
</ref>
<ref id="B79">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Morris</surname> <given-names>K.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>2014 data summary of wet nitrogen deposition at Rocky Mountain National Park</article-title>. <source>Health Environ. Res. Oline</source>.</citation>
</ref>
<ref id="B80">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muck</surname> <given-names>R. E.</given-names>
</name>
</person-group> (<year>1982</year>). <article-title>Urease activity in bovine feces</article-title>. <source>J. Dairy Sci.</source> <volume>65</volume>, <fpage>2157</fpage>&#x2013;<lpage>2163</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3168/jds.S0022-0302(82)82475-2</pub-id>
</citation>
</ref>
<ref id="B81">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muck</surname> <given-names>R. E.</given-names>
</name>
<name>
<surname>Steenhuis</surname> <given-names>T. S.</given-names>
</name>
</person-group> (<year>1982</year>). <article-title>Nitrogen losses from manure storages</article-title>. <source>Agric. Wastes</source> <volume>4</volume>, <fpage>41</fpage>&#x2013;<lpage>54</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/0141-4607(82)90053-1</pub-id>
</citation>
</ref>
<ref id="B82">
<citation citation-type="book">
<person-group person-group-type="author">
<collab>NASEM</collab>
</person-group> (<year>2016</year>). <source>Nutrient Requirements of Beef Cattle</source>. <edition>Eighth Revised Edition</edition> (<publisher-loc>Washington, DC, USA</publisher-loc>: <publisher-name>National Academies of Sciences, Engineering, and Medicine</publisher-name>).</citation>
</ref>
<ref id="B83">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ni</surname> <given-names>J.</given-names>
</name>
</person-group> (<year>1999</year>). <article-title>Mechanistic models of ammonia release from liquid manure: a review</article-title>. <source>J. Agric. Eng. Res.</source> <volume>72</volume>, <fpage>1</fpage>&#x2013;<lpage>17</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1006/jaer.1998.0342</pub-id>
</citation>
</ref>
<ref id="B84">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nichols</surname> <given-names>W. T.</given-names>
</name>
<name>
<surname>Galyean</surname> <given-names>M. L.</given-names>
</name>
<name>
<surname>Thomson</surname> <given-names>D. U.</given-names>
</name>
<name>
<surname>Hutcheson</surname> <given-names>J. P.</given-names>
</name>
</person-group> (<year>2002</year>). <article-title>Effects of steroid implants on the tenderness of beef</article-title>. <source>Prof. Anim. Scientist</source> <volume>18</volume>, <fpage>202</fpage>&#x2013;<lpage>210</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.15232/S1080-7446(15)31523-0</pub-id>
</citation>
</ref>
<ref id="B85">
<citation citation-type="book">
<person-group person-group-type="author">
<collab>NRC</collab>
</person-group> (<year>1985</year>). <source>Ruminant Nitrogen Usage</source> (<publisher-loc>Washington DC. USA</publisher-loc>: <publisher-name>National Academy Press</publisher-name>).</citation>
</ref>
<ref id="B86">
<citation citation-type="book">
<person-group person-group-type="author">
<collab>NRC</collab>
</person-group> (<year>2001</year>). <source>Nutrient requirements of dairy cattle</source>. <edition>7th rev. ed</edition> (<publisher-loc>Washington, DC. USA</publisher-loc>: <publisher-name>National Academy Press</publisher-name>).</citation>
</ref>
<ref id="B87">
<citation citation-type="book">
<person-group person-group-type="author">
<collab>NRC</collab>
</person-group> (<year>2002</year>). <source>The scientific basis for estimating air emissions from animal feeding operations: Interim report</source> (<publisher-loc>Washington, DC</publisher-loc>: <publisher-name>National Academies Press</publisher-name>).</citation>
</ref>
<ref id="B88">
<citation citation-type="book">
<person-group person-group-type="author">
<collab>NRC</collab>
</person-group> (<year>2003</year>). <source>Air emissions from animal feeding operations: Current knowledge, future needs</source> (<publisher-loc>Washington, DC</publisher-loc>: <publisher-name>National Academies Press</publisher-name>).</citation>
</ref>
<ref id="B89">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ohnoutka</surname> <given-names>C. A.</given-names>
</name>
<name>
<surname>Bondurant</surname> <given-names>R. G.</given-names>
</name>
<name>
<surname>Boyd</surname> <given-names>B. M.</given-names>
</name>
<name>
<surname>Hilscher</surname> <given-names>F. H.</given-names>
</name>
<name>
<surname>Nuttelman</surname> <given-names>B. L.</given-names>
</name>
<name>
<surname>Crawford</surname> <given-names>G. I.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Evaluation of coated steroidal combination implants on feedlot performance and carcass characteristics of beef heifers fed for constant or varying days on feed</article-title>. <source>Appl. Anim. Sci.</source> <volume>37</volume>, <fpage>41</fpage>&#x2013;<lpage>51</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.15232/aas.2020-02013</pub-id>
</citation>
</ref>
<ref id="B90">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Okopi</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>F.</given-names>
</name>
</person-group> (<year>2024</year>). &#x201c;<article-title>Biomass Digestion</article-title>,&#x201d; in <source>Encyclopedia of Sustainable Technologies</source> (<publisher-name>Elsevier</publisher-name>), <fpage>236</fpage>&#x2013;<lpage>251</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/B978-0-323-90386-8.00051-6</pub-id>
</citation>
</ref>
<ref id="B91">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Pandrangi</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Parker</surname> <given-names>D. B.</given-names>
</name>
<name>
<surname>Greene</surname> <given-names>L. W.</given-names>
</name>
<name>
<surname>Almas</surname> <given-names>L. K.</given-names>
</name>
<name>
<surname>Rhoades</surname> <given-names>M. B.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
</person-group> (<year>2003</year>). &#x201c;<article-title>Effect of dietary crude protein on ammonia emissions from open-lot beef cattle feedyards</article-title>,&#x201d; in <conf-name>2003 ASAE Annual International Meeting</conf-name> (<publisher-loc>St. Joseph, Michigan</publisher-loc>: <publisher-name>American Society of Agricultural and Biological Engineers</publisher-name>). doi:&#xa0;<pub-id pub-id-type="doi">10.13031/2013.13889</pub-id>
</citation>
</ref>
<ref id="B92">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Parker</surname> <given-names>D. B.</given-names>
</name>
<name>
<surname>Casey</surname> <given-names>K. D.</given-names>
</name>
<name>
<surname>Willis</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Meyer</surname> <given-names>B.</given-names>
</name>
</person-group> (<year>2021</year>). &#x201c;<article-title>Nitrous oxide and methane emissions from beef cattle feedyard pens following large rainfall events</article-title>,&#x201d; in <conf-name>2021 ASABE Annual Meeting</conf-name>, Vol. <volume>64</volume>. <fpage>1211</fpage>&#x2013;<lpage>1225</lpage> (<publisher-loc>St. Joseph, Michigan</publisher-loc>: <publisher-name>American Society of Agricultural and Biological Engineers</publisher-name>). doi:&#xa0;<pub-id pub-id-type="doi">10.13031/trans.14480</pub-id>
</citation>
</ref>
<ref id="B93">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Parker</surname> <given-names>D. B.</given-names>
</name>
<name>
<surname>Pandrangi</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Greene</surname> <given-names>L. W.</given-names>
</name>
<name>
<surname>Almas</surname> <given-names>L. K.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Rhoades</surname> <given-names>M. B.</given-names>
</name>
<etal/>
</person-group>. (<year>2004</year>). &#x201c;<article-title>Application rate and timing effects on urease inhibitor performance for minimizing ammonia emissions from beef cattle feedyards</article-title>,&#x201d; in <conf-name>2004 ASAE Annual International Meeting</conf-name> (<publisher-loc>St. Joseph, Michigan</publisher-loc>: <publisher-name>American Society of Agricultural and Biological Engineers</publisher-name>). doi:&#xa0;<pub-id pub-id-type="doi">10.13031/2013.16787</pub-id>
</citation>
</ref>
<ref id="B94">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Parker</surname> <given-names>D. B.</given-names>
</name>
<name>
<surname>Rhoades</surname> <given-names>M. B.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Sambana</surname> <given-names>V. P.</given-names>
</name>
</person-group> (<year>2011</year>). &#x201c;<article-title>Effect of urease inhibitor application rate and rainfall on ammonia emissions from beef manure</article-title>,&#x201d; in <conf-name>2011 ASABE Annual Meeting</conf-name>, Vol. <volume>55</volume>. <fpage>211</fpage>&#x2013;<lpage>218</lpage> (<publisher-loc>St. Joseph, Michigan</publisher-loc>: <publisher-name>American Society of Agricultural and Biological Engineers</publisher-name>). doi:&#xa0;<pub-id pub-id-type="doi">10.13031/2013.41248</pub-id>
</citation>
</ref>
<ref id="B95">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Parker</surname> <given-names>D. B.</given-names>
</name>
<name>
<surname>Rhoades</surname> <given-names>M. B.</given-names>
</name>
<name>
<surname>Koziel</surname> <given-names>J. A.</given-names>
</name>
<name>
<surname>Baek</surname> <given-names>B. H.</given-names>
</name>
<name>
<surname>Waldrip</surname> <given-names>H. M.</given-names>
</name>
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Urease inhibitor for reducing ammonia emissions from an open-lot beef cattle feedyard in the Texas High Plains</article-title>. <source>Appl. Eng. Agric.</source> <volume>32</volume>, <fpage>823</fpage>&#x2013;<lpage>832</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.13031/aea.32.11897</pub-id>
</citation>
</ref>
<ref id="B96">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Parker</surname> <given-names>D. B.</given-names>
</name>
<name>
<surname>Waldrip</surname> <given-names>H. M.</given-names>
</name>
<name>
<surname>Casey</surname> <given-names>K. D.</given-names>
</name>
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Willis</surname> <given-names>W. M.</given-names>
</name>
<name>
<surname>Webb</surname> <given-names>K.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Temporal nitrous oxide emissions from beef cattle feedlot manure after a simulated rainfall event</article-title>. <source>J. Environ. Qual.</source> <volume>46</volume>, <fpage>733</fpage>&#x2013;<lpage>740</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2134/jeq2017.02.0042</pub-id>
</citation>
</ref>
<ref id="B97">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Parker</surname> <given-names>D. B.</given-names>
</name>
<name>
<surname>Waldrip</surname> <given-names>H. M.</given-names>
</name>
<name>
<surname>Casey</surname> <given-names>K. D.</given-names>
</name>
<name>
<surname>Woodbury</surname> <given-names>B. L.</given-names>
</name>
<name>
<surname>Spiehs</surname> <given-names>M. J.</given-names>
</name>
<name>
<surname>Webb</surname> <given-names>K.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>How do temperature and rainfall affect nitrous oxide emissions from open-lot beef cattle feedyard pens</article-title>? <source>Trans. ASABE</source> <volume>61</volume>, <fpage>1049</fpage>&#x2013;<lpage>1061</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.13031/trans.12788</pub-id>
</citation>
</ref>
<ref id="B98">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Perry</surname> <given-names>T. W.</given-names>
</name>
<name>
<surname>Beeson</surname> <given-names>W. M.</given-names>
</name>
<name>
<surname>Mohler</surname> <given-names>M. T.</given-names>
</name>
</person-group> (<year>1976</year>). <article-title>Effect of monensin on beef cattle performance</article-title>. <source>J. Anim. Sci.</source> <volume>42</volume>, <fpage>761</fpage>&#x2013;<lpage>765</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2527/jas1976.423761x</pub-id>
</citation>
</ref>
<ref id="B99">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Preston</surname> <given-names>R. L.</given-names>
</name>
<name>
<surname>Herschler</surname> <given-names>R. C.</given-names>
</name>
</person-group> (<year>1992</year>). <source>Controlled release estradiol/progesterone anabolic implant in cattle</source> (<publisher-loc>Lubbock (TX</publisher-loc>: <publisher-name>Texas Tech Univ Agric Sci Tech Rep</publisher-name>), <fpage>5</fpage>.</citation>
</ref>
<ref id="B100">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Proctor</surname> <given-names>J. A.</given-names>
</name>
</person-group> (<year>2023</year>). <source>Implications of site and extent of protein digestion in growing and finishing cattle. [Doctoral dissertation]</source> (<publisher-loc>College Station, Texas</publisher-loc>: <publisher-name>Texas A&amp;M University</publisher-name>).</citation>
</ref>
<ref id="B101">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Quinn</surname> <given-names>S. A.</given-names>
</name>
<name>
<surname>Erickson</surname> <given-names>G. E.</given-names>
</name>
<name>
<surname>Klopfenstein</surname> <given-names>T. J.</given-names>
</name>
<name>
<surname>Stowell</surname> <given-names>R. R.</given-names>
</name>
<name>
<surname>Sherwood</surname> <given-names>D. M.</given-names>
</name>
</person-group> (<year>2007</year>). <article-title>Effect of phase feeding protein on cattle performance and nitrogen mass balance in open feedlots</article-title>. <source>Board Regents Univ. Nebraska</source>.</citation>
</ref>
<ref id="B102">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Redding</surname> <given-names>M. R.</given-names>
</name>
<name>
<surname>Lewis</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Shorten</surname> <given-names>P. R.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Simultaneous measurements of ammonia volatilisation and deposition at a beef feedlot</article-title>. <source>Anim. Production Sci.</source> <volume>59</volume>, <fpage>160</fpage>&#x2013;<lpage>168</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1071/AN17310</pub-id>
</citation>
</ref>
<ref id="B103">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Reddy</surname> <given-names>D. V.</given-names>
</name>
<name>
<surname>Krishna</surname> <given-names>N.</given-names>
</name>
</person-group> (<year>2009</year>). <article-title>Precision animal nutrition: A tool for economic and eco-friendly animal production in ruminants</article-title>. <source>Livestock Res. Rural Dev.</source> <volume>21</volume>, <fpage>36</fpage>.</citation>
</ref>
<ref id="B104">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Renard</surname> <given-names>J. J.</given-names>
</name>
<name>
<surname>Calidonna</surname> <given-names>S. E.</given-names>
</name>
<name>
<surname>Henley</surname> <given-names>M. V.</given-names>
</name>
</person-group> (<year>2004</year>). <article-title>Fate of ammonia in the atmosphere&#x2014;a review for applicability to hazardous releases</article-title>. <source>J. Hazardous Materials</source> <volume>108</volume>, <fpage>29</fpage>&#x2013;<lpage>60</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jhazmat.2004.01.015</pub-id>
</citation>
</ref>
<ref id="B105">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Reynal</surname> <given-names>S. M.</given-names>
</name>
<name>
<surname>Broderick</surname> <given-names>G. A.</given-names>
</name>
</person-group> (<year>2005</year>). <article-title>Effect of dietary level of rumen-degraded protein on production and nitrogen metabolism in lactating dairy cows</article-title>. <source>J. Dairy Sci.</source> <volume>88</volume>, <fpage>4045</fpage>&#x2013;<lpage>4064</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3168/jds.S0022-0302(05)73090-3</pub-id>
</citation>
</ref>
<ref id="B106">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Rhoades</surname> <given-names>M. B.</given-names>
</name>
<name>
<surname>Auvermann</surname> <given-names>B. W.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Parker</surname> <given-names>D. B.</given-names>
</name>
<name>
<surname>Caraway</surname> <given-names>E. A.</given-names>
</name>
<etal/>
</person-group>. (<year>2008</year>). &#x201c;<article-title>Ammonia concentration and modeled emission rates from a beef cattle feedyard</article-title>,&#x201d; in <conf-name>2008 Providence, Rhode Island, June 29&#x2013;July 2, 2008</conf-name> (<publisher-name>
St. Joseph, Michigan: American Society of Agricultural and Biological Engineers</publisher-name>). doi:&#xa0;<pub-id pub-id-type="doi">10.13031/2013.24774</pub-id>
</citation>
</ref>
<ref id="B107">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rhoades</surname> <given-names>M. B.</given-names>
</name>
<name>
<surname>Parker</surname> <given-names>D. B.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Caraway</surname> <given-names>E. A.</given-names>
</name>
<name>
<surname>Auvermann</surname> <given-names>B. W.</given-names>
</name>
<etal/>
</person-group>. (<year>2010</year>). <article-title>Continuous ammonia emission measurements from a commercial beef feedyard in Texas</article-title>. <source>Trans. ASABE</source> <volume>53</volume>, <fpage>1823</fpage>&#x2013;<lpage>1831</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.13031/2013.35808</pub-id>
</citation>
</ref>
<ref id="B108">
<citation citation-type="thesis">
<person-group person-group-type="author">
<name>
<surname>Ross</surname> <given-names>E. G.</given-names>
</name>
</person-group> (<year>2021</year>). <source>Mitigation of gaseous emissions from beef and dairy cattle through feed additives and manure supplements</source>. <publisher-name>University of California</publisher-name>, <publisher-loc>Davis</publisher-loc>.</citation>
</ref>
<ref id="B109">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Russell</surname> <given-names>J. B.</given-names>
</name>
<name>
<surname>Strobel</surname> <given-names>H. J.</given-names>
</name>
</person-group> (<year>1988</year>). <article-title>Effects of additives on <italic>in vitro</italic> ruminal fermentation: a comparison of monensin and bacitracin, another gram-positive antibiotic</article-title>. <source>J. Anim. Sci.</source> <volume>66</volume>, <fpage>552</fpage>&#x2013;<lpage>558</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2527/jas1988.662552x</pub-id>
</citation>
</ref>
<ref id="B110">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Saarij&#xe4;rvi</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Mattila</surname> <given-names>P. K.</given-names>
</name>
<name>
<surname>Virkaj&#xe4;rvi</surname> <given-names>P.</given-names>
</name>
</person-group> (<year>2006</year>). <article-title>Ammonia volatilization from artificial dung and urine patches measured by the equilibrium concentration technique (JTI method)</article-title>. <source>Atmospheric Environ.</source> <volume>40</volume>, <fpage>5137</fpage>&#x2013;<lpage>5145</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.atmosenv.2006.03.052</pub-id>
</citation>
</ref>
<ref id="B111">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Sawyer</surname> <given-names>C. N.</given-names>
</name>
<name>
<surname>McCARTY</surname> <given-names>P. L.</given-names>
</name>
<name>
<surname>Parkin</surname> <given-names>G. F.</given-names>
</name>
</person-group> (<year>1978</year>). &#x201c;<article-title>Chemistry for environmental engineering</article-title>,&#x201d; in <conf-name>National Meeting of the American Chemical Society</conf-name>. (<publisher-loc>New York</publisher-loc>).</citation>
</ref>
<ref id="B112">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schultz</surname> <given-names>A. A.</given-names>
</name>
<name>
<surname>Peppard</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Gangnon</surname> <given-names>R. E.</given-names>
</name>
<name>
<surname>Malecki</surname> <given-names>K. M.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Residential proximity to concentrated animal feeding operations and allergic and respiratory disease</article-title>. <source>Environ. Int.</source> <volume>130</volume>, <elocation-id>104911</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.envint.2019.104911</pub-id>
</citation>
</ref>
<ref id="B113">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Selk</surname> <given-names>G.</given-names>
</name>
</person-group> (<year>1999</year>). <article-title>Implants for suckling steer and heifer calves and potential replacement heifers</article-title>. <source>Compendium Continuing Educ. Practicing Veterinarian</source> <volume>21</volume>.</citation>
</ref>
<ref id="B114">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shen</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Bai</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Coates</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Lam</surname> <given-names>S. K.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Ammonia deposition in the neighbourhood of an intensive cattle feedlot in Victoria, Australia</article-title>. <source>Sci. Rep.</source> <volume>6</volume>, <elocation-id>32793</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/srep32793</pub-id>
</citation>
</ref>
<ref id="B115">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shi</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Parker</surname> <given-names>D. B.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Auvermann</surname> <given-names>B. W.</given-names>
</name>
<name>
<surname>Mehlhorn</surname> <given-names>J. E.</given-names>
</name>
</person-group> (<year>2001</year>). <article-title>Surface amendments to minimize ammonia emissions from beef cattle feedlots</article-title>. <source>Trans. ASAE</source> <volume>44</volume>, <fpage>677</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.13031/2013.6105</pub-id>
</citation>
</ref>
<ref id="B116">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shonkwiler</surname> <given-names>K. B.</given-names>
</name>
<name>
<surname>Ham</surname> <given-names>J. M.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Ammonia emissions from a beef feedlot: Comparison of inverse modeling techniques using long-path and point measurements of fenceline NH3</article-title>. <source>Agric. For. Meteorol.</source> <volume>258</volume>, <fpage>29</fpage>&#x2013;<lpage>42</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.agrformet.2017.10.031</pub-id>
</citation>
</ref>
<ref id="B117">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sommer</surname> <given-names>S. G.</given-names>
</name>
<name>
<surname>Olesen</surname> <given-names>J. E.</given-names>
</name>
<name>
<surname>Christensen</surname> <given-names>B. T.</given-names>
</name>
</person-group> (<year>1991</year>). <article-title>Effects of temperature, wind speed and air humidity on ammonia volatilization from surface applied cattle slurry</article-title>. <source>J. Agric. Sci.</source> <volume>117</volume>, <fpage>91</fpage>&#x2013;<lpage>100</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1017/S0021859600079016</pub-id>
</citation>
</ref>
<ref id="B118">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Spiehs</surname> <given-names>M. J.</given-names>
</name>
<name>
<surname>Woodbury</surname> <given-names>B.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Effect of using aluminum sulfate (alum) as a surface amendment in beef cattle feedlots on ammonia and sulfide emissions</article-title>. <source>Sustainability</source> <volume>14</volume>, <elocation-id>1984</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/su14041984</pub-id>
</citation>
</ref>
<ref id="B119">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Spiehs</surname> <given-names>M. J.</given-names>
</name>
<name>
<surname>Woodbury</surname> <given-names>B. L.</given-names>
</name>
<name>
<surname>Parker</surname> <given-names>D. B.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Ammonia, hydrogen sulfide, and greenhouse gas emissions from lab-scaled manure bedpacks with and without aluminum sulfate additions</article-title>. <source>Environments</source> <volume>6</volume>, <elocation-id>108</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/environments6100108</pub-id>
</citation>
</ref>
<ref id="B120">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stackhouse</surname> <given-names>K. R.</given-names>
</name>
<name>
<surname>Rotz</surname> <given-names>C. A.</given-names>
</name>
<name>
<surname>Oltjen</surname> <given-names>J. W.</given-names>
</name>
<name>
<surname>Mitloehner</surname> <given-names>F. M.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Growth-promoting technologies decrease the carbon footprint, ammonia emissions, and costs of California beef production systems</article-title>. <source>J. Anim. Sci.</source> <volume>90</volume>, <fpage>4656</fpage>&#x2013;<lpage>4665</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2527/jas.2011-4654</pub-id>
</citation>
</ref>
<ref id="B121">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Staebler</surname> <given-names>R. M.</given-names>
</name>
<name>
<surname>McGinn</surname> <given-names>S. M.</given-names>
</name>
<name>
<surname>Crenna</surname> <given-names>B. P.</given-names>
</name>
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
<name>
<surname>Hayden</surname> <given-names>K. L.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>S. M.</given-names>
</name>
</person-group> (<year>2009</year>). <article-title>Three-dimensional characterization of the ammonia plume from a beef cattle feedlot</article-title>. <source>Atmospheric Environ.</source> <volume>43</volume>, <fpage>6091</fpage>&#x2013;<lpage>6099</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.atmosenv.2009.08.045</pub-id>
</citation>
</ref>
<ref id="B122">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stewart</surname> <given-names>B. A.</given-names>
</name>
</person-group> (<year>1970</year>). <article-title>Volatilization and nitrification of nitrogen from urine under simulated cattle feedlot conditions</article-title>. <source>Environ. Sci. Technol.</source> <volume>4</volume>, <fpage>579</fpage>&#x2013;<lpage>582</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/es60042a004</pub-id>
</citation>
</ref>
<ref id="B123">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sun</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Tao</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Miller</surname> <given-names>D. J.</given-names>
</name>
<name>
<surname>Zondlo</surname> <given-names>M. A.</given-names>
</name>
<name>
<surname>Shonkwiler</surname> <given-names>K. B.</given-names>
</name>
<name>
<surname>Nash</surname> <given-names>C.</given-names>
</name>
<etal/>
</person-group>. (<year>2015</year>). <article-title>Open-path eddy covariance measurements of ammonia fluxes from a beef cattle feedlot</article-title>. <source>Agric. For. Meteorol.</source> <volume>213</volume>, <fpage>193</fpage>&#x2013;<lpage>202</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.agrformet.2015.06.007</pub-id>
</citation>
</ref>
<ref id="B124">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Szymula</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Wlaz&#x142;o</surname> <given-names>&#x141;.</given-names>
</name>
<name>
<surname>Sas&#xe1;kov&#xe1;</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Wnuk</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Nowakowicz-D&#x119;bek</surname> <given-names>B.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>The use of natural sorbents to reduce ammonia emissions from cattle faeces</article-title>. <source>Agronomy</source> <volume>11</volume>, <elocation-id>2543</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/agronomy11122543</pub-id>
</citation>
</ref>
<ref id="B125">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Tedeschi</surname> <given-names>L. O.</given-names>
</name>
<name>
<surname>Fox</surname> <given-names>D. G.</given-names>
</name>
</person-group> (<year>2020</year>). <source>The Ruminant Nutrition System: Vol. 1 - An Applied Model for Predicting Nutrient Requirement and Feed Utilization in Ruminants</source>. <edition>3rd Edition</edition> (<publisher-loc>Ann Arbor, MI</publisher-loc>: <publisher-name>XanEdu publication</publisher-name>).</citation>
</ref>
<ref id="B126">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tedeschi</surname> <given-names>L. O.</given-names>
</name>
<name>
<surname>Fox</surname> <given-names>D. G.</given-names>
</name>
<name>
<surname>Tylutki</surname> <given-names>T. P.</given-names>
</name>
</person-group> (<year>2003</year>). <article-title>Potential environmental benefits of ionophores in ruminant diets</article-title>. <source>J. Environ. Qual.</source> <volume>32</volume>, <fpage>1591</fpage>&#x2013;<lpage>1602</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2134/jeq2003.1591</pub-id>
</citation>
</ref>
<ref id="B127">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Thompson</surname> <given-names>T. M.</given-names>
</name>
<name>
<surname>Rodriguez</surname> <given-names>M. A.</given-names>
</name>
<name>
<surname>Barna</surname> <given-names>M. G.</given-names>
</name>
<name>
<surname>Gebhart</surname> <given-names>K. A.</given-names>
</name>
<name>
<surname>Hand</surname> <given-names>J. L.</given-names>
</name>
<name>
<surname>Day</surname> <given-names>D. E.</given-names>
</name>
<etal/>
</person-group>. (<year>2015</year>). <article-title>Rocky Mountain National Park reduced nitrogen source apportionment</article-title>. <source>J. Geophysical Research: Atmospheres</source> <volume>120</volume>, <fpage>4370</fpage>&#x2013;<lpage>4384</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/2014JD022675</pub-id>
</citation>
</ref>
<ref id="B128">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Clark</surname> <given-names>R. N.</given-names>
</name>
</person-group> (<year>2006</year>). <article-title>Reducing crude protein in beef cattle diet reduces ammonia emissions from artificial feedyard surfaces</article-title>. <source>J. Environ. Qual.</source> <volume>35</volume>, <fpage>404</fpage>&#x2013;<lpage>411</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2134/jeq2005.0045</pub-id>
</citation>
</ref>
<ref id="B129">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Clark</surname> <given-names>R. N.</given-names>
</name>
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
<name>
<surname>Harper</surname> <given-names>L. A.</given-names>
</name>
<name>
<surname>Baek</surname> <given-names>B. H.</given-names>
</name>
</person-group> (<year>2008</year>). <article-title>Ammonia emissions from a beef cattle feedyard on the southern High Plains</article-title>. <source>Atmospheric Environ.</source> <volume>42</volume>, <fpage>6797</fpage>&#x2013;<lpage>6805</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.atmosenv.2008.05.013</pub-id>
</citation>
</ref>
<ref id="B130">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Harper</surname> <given-names>L. A.</given-names>
</name>
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
</person-group> (<year>2007</year>). &#x201c;<article-title>Flux-gradient estimates of ammonia emissions from beef cattle feedyard pens</article-title>,&#x201d; in <conf-name>International Symposium on Air Quality and Waste Management for Agriculture, 16&#x2013;19 September 2007, Broomfield, Colorado</conf-name>. <fpage>81</fpage> (St. Joseph, Michigan: <publisher-name>American Society of Agricultural and Biological Engineers</publisher-name>). doi:&#xa0;<pub-id pub-id-type="doi">10.13031/2013.23877</pub-id>
</citation>
</ref>
<ref id="B131">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Harper</surname> <given-names>L. A.</given-names>
</name>
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
<name>
<surname>Baek</surname> <given-names>B. H.</given-names>
</name>
</person-group> (<year>2005</year>). &#x201c;<article-title>Ammonia and gaseous nitrogen emissions from a commercial beef cattle feedyard estimated using the flux-gradient method and N: P ratio analysis</article-title>,&#x201d; in <conf-name>Proc. Symposium State of the Science: Animal Manure and Waste Management</conf-name>. (<publisher-loc>San Antonio, Texas</publisher-loc>).</citation>
</ref>
<ref id="B132">
<citation citation-type="confproc">
<person-group person-group-type="author">
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Parker</surname> <given-names>D. B.</given-names>
</name>
<name>
<surname>Rhoades</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Casey</surname> <given-names>K.</given-names>
</name>
</person-group> (<year>2009</year>). &#x201c;<article-title>Effect of feeding distiller&#x2019;s grain on dietary crude protein and ammonia emissions from beef cattle feedyards</article-title>,&#x201d; in <conf-name>Proceedings of the Texas Animal Manure Management Issues (TAMMI) Conference</conf-name>. (<publisher-loc>Round Rock, Texas</publisher-loc>) <fpage>37</fpage>&#x2013;<lpage>44</lpage>.</citation>
</ref>
<ref id="B133">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Rhoades</surname> <given-names>M. B.</given-names>
</name>
<name>
<surname>Parker</surname> <given-names>D. B.</given-names>
</name>
<name>
<surname>Casey</surname> <given-names>K. D.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Daily, monthly, seasonal, and annual ammonia emissions from Southern High Plains cattle feedyards</article-title>. <source>J. Environ. Qual.</source> <volume>40</volume>, <fpage>1090</fpage>&#x2013;<lpage>1095</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2134/jeq2010.0307</pub-id>
</citation>
</ref>
<ref id="B134">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Waldrip</surname> <given-names>H. M.</given-names>
</name>
<name>
<surname>Aiken</surname> <given-names>R. M.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Arrhenius equation for modeling feedyard ammonia emissions using temperature and diet crude protein</article-title>. <source>J. Environ. Qual.</source> <volume>42</volume>, <fpage>666</fpage>&#x2013;<lpage>671</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2134/jeq2012.0371</pub-id>
</citation>
</ref>
<ref id="B135">
<citation citation-type="web">
<person-group person-group-type="author">
<collab>USDA-NRCS</collab>
</person-group> <article-title>Conservation management practices</article-title>. Available online at: <uri xlink:href="https://www.nrcs.usda.gov/resources/guides-and-instructions/conservation-practice-standards">https://www.nrcs.usda.gov/resources/guides-and-instructions/conservation-practice-standards</uri> (Accessed <access-date>March 21, 2025</access-date>).</citation>
</ref>
<ref id="B136">
<citation citation-type="book">
<person-group person-group-type="author">
<collab>USEPA</collab>
</person-group> (<year>2004</year>). <source>Ammonia emissions from animal husbandry operations</source> (<publisher-loc>Washington D.C</publisher-loc>.: <publisher-name>United States Environmental Protection Agency, National emission inventory</publisher-name>).</citation>
</ref>
<ref id="B137">
<citation citation-type="book">
<person-group person-group-type="author">
<collab>USEPA</collab>
</person-group> (<year>2010</year>). <source>Methane and nitrous oxide emissions from natural sources</source> (<publisher-loc>Washington D.C</publisher-loc>.: <publisher-name>United States Environmental Protection Agency</publisher-name>).</citation>
</ref>
<ref id="B138">
<citation citation-type="web">
<person-group person-group-type="author">
<collab>USEPA</collab>
</person-group> (<year>2024</year>). <article-title>National ambient air quality standards (NAAQS) for PM</article-title> (<publisher-loc>Washington D.C</publisher-loc>.: <publisher-name>United States Environmental Protection Agency</publisher-name>). Available at: <uri xlink:href="https://www.epa.gov/pm-pollution/national-ambient-air-quality-standards-naaqs-pm">https://www.epa.gov/pm-pollution/national-ambient-air-quality-standards-naaqs-pm</uri>.</citation>
</ref>
<ref id="B139">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Vaga</surname> <given-names>M.</given-names>
</name>
</person-group> (<year>2017</year>). <source>Investigating ruminal nitrogen metabolism</source>. (Doctoral dissertation): <publisher-name>Swedish Universitatis of Agricultural Sciences</publisher-name>, <publisher-loc>Ume&#xe5;, Sweden</publisher-loc>.</citation>
</ref>
<ref id="B140">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vander Pol</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Hristov</surname> <given-names>A. N.</given-names>
</name>
<name>
<surname>Zaman</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Delano</surname> <given-names>N.</given-names>
</name>
</person-group> (<year>2008</year>). <article-title>Peas can replace soybean meal and corn grain in dairy cow diets</article-title>. <source>J. Dairy Sci.</source> <volume>91</volume>, <fpage>698</fpage>&#x2013;<lpage>703</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3168/jds.2007-0543</pub-id>
</citation>
</ref>
<ref id="B141">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Van Haarlem</surname> <given-names>R. P.</given-names>
</name>
<name>
<surname>Desjardins</surname> <given-names>R. L.</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>X.</given-names>
</name>
</person-group> (<year>2008</year>). <article-title>Methane and ammonia emissions from a beef feedlot in western Canada for a twelve-day period in the fall</article-title>. <source>Can. J. Anim. Sci.</source> <volume>88</volume>, <fpage>641</fpage>&#x2013;<lpage>649</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.4141/CJAS08034</pub-id>
</citation>
</ref>
<ref id="B142">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Van Soest</surname> <given-names>P. J.</given-names>
</name>
</person-group> (<year>1994</year>). <source>Nutritional ecology of the ruminant</source> Vol. <volume>476</volume> (<publisher-loc>Ithaca, NY</publisher-loc>: <publisher-name>Cornell University Press</publisher-name>).</citation>
</ref>
<ref id="B143">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Varel</surname> <given-names>V. H.</given-names>
</name>
<name>
<surname>Nienaber</surname> <given-names>J. A.</given-names>
</name>
<name>
<surname>Freetly</surname> <given-names>H. C.</given-names>
</name>
</person-group> (<year>1999</year>). <article-title>Conservation of nitrogen in cattle feedlot waste with urease inhibitors</article-title>. <source>J. Anim. Sci.</source> <volume>77</volume>, <fpage>1162</fpage>&#x2013;<lpage>1168</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2527/1999.7751162x</pub-id>
</citation>
</ref>
<ref id="B144">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vavilin</surname> <given-names>V. A.</given-names>
</name>
<name>
<surname>Fernandez</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Palatsi</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Flotats</surname> <given-names>X.</given-names>
</name>
</person-group> (<year>2008</year>). <article-title>Hydrolysis kinetics in anaerobic degradation of particulate organic material: an overview</article-title>. <source>Waste Manage.</source> <volume>28</volume>, <fpage>939</fpage>&#x2013;<lpage>951</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.wasman.2007.03.028</pub-id>
</citation>
</ref>
<ref id="B145">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Waldrip</surname> <given-names>H. M.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Nitrogen sustainability and beef cattle feedyards: II. Ammonia emissions</article-title>. <source>Prof. Anim. Scientist</source> <volume>31</volume>, <fpage>395</fpage>&#x2013;<lpage>411</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.15232/pas.2015-01395</pub-id>
</citation>
</ref>
<ref id="B146">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Waldrip</surname> <given-names>H. M.</given-names>
</name>
<name>
<surname>Rotz</surname> <given-names>C. A.</given-names>
</name>
<name>
<surname>Hafner</surname> <given-names>S. D.</given-names>
</name>
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Process-based modeling of ammonia emission from beef cattle feedyards with the integrated farm systems model</article-title>. <source>J. Environ. Qual.</source> <volume>43</volume>, <fpage>1159</fpage>&#x2013;<lpage>1168</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2134/jeq2013.09.0354</pub-id>
</citation>
</ref>
<ref id="B147">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Waldrip</surname> <given-names>H. M.</given-names>
</name>
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
</person-group> (<year>2013</year>a). <article-title>Prediction of nitrogen excretion by beef cattle: A meta-analysis</article-title>. <source>J. Anim. Sci.</source> <volume>91</volume>, <fpage>4290</fpage>&#x2013;<lpage>4302</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2527/jas.2012-5818</pub-id>
</citation>
</ref>
<ref id="B148">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Waldrip</surname> <given-names>H. M.</given-names>
</name>
<name>
<surname>Todd</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Salas</surname> <given-names>W. H.</given-names>
</name>
</person-group> (<year>2013</year>b). <article-title>Estimation of ammonia emissions from beef cattle feedyards using the process-based model Manure-DNDC</article-title>. <source>Trans. ASABE</source> <volume>56</volume>, <fpage>1103</fpage>&#x2013;<lpage>1114</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.13031/trans.56.9906</pub-id>
</citation>
</ref>
<ref id="B149">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Flesch</surname> <given-names>T. K.</given-names>
</name>
<name>
<surname>Bai</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>D.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Seasonal ammonia emissions from an intensive beef cattle feedlot in Victoria Australia</article-title>. <source>J. Environ. Manage.</source> <volume>351</volume>, <elocation-id>119898</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jenvman.2023.119898</pub-id>
</citation>
</ref>
<ref id="B150">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wendler</surname> <given-names>W. M.</given-names>
</name>
<name>
<surname>Davis</surname> <given-names>M. S.</given-names>
</name>
<name>
<surname>Koers</surname> <given-names>W. C.</given-names>
</name>
<name>
<surname>Rincker</surname> <given-names>P. J.</given-names>
</name>
<name>
<surname>Pyatt</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Lucherk</surname> <given-names>L. W</given-names>
</name>
<etal/>
</person-group>. (<year>2025</year>). <article-title>Effect of beta-agonist type and timing of Experior feeding on calculated cumulative ammonia gas emissions, live growth performance, and carcass outcomes, and objective tenderness outcomes of feedlot steers</article-title>. <source>Translational Animal Science</source>, <elocation-id>txaf009</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/tas/txaf009</pub-id>
</citation>
</ref>
<ref id="B151">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wheeler</surname> <given-names>E. F.</given-names>
</name>
<name>
<surname>Adviento-Borbe</surname> <given-names>M. A. A.</given-names>
</name>
<name>
<surname>Brandt</surname> <given-names>R. C.</given-names>
</name>
<name>
<surname>Topper</surname> <given-names>P. A.</given-names>
</name>
<name>
<surname>Topper</surname> <given-names>D. A.</given-names>
</name>
<name>
<surname>Elliott</surname> <given-names>H. A.</given-names>
</name>
<etal/>
</person-group>. (<year>2011</year>). <article-title>Evaluation of odor emissions from amended dairy manure: preliminary screening</article-title>. <source>Agric. Eng. International: CIGR J.</source> <volume>13</volume>.</citation>
</ref>
<ref id="B152">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wilson</surname> <given-names>J. D.</given-names>
</name>
<name>
<surname>Sawford</surname> <given-names>B. L.</given-names>
</name>
</person-group> (<year>1996</year>). <article-title>Review of Lagrangian stochastic models for trajectories in the turbulent atmosphere</article-title>. <source>Boundary-layer meteorol.</source> <volume>78</volume>, <fpage>191</fpage>&#x2013;<lpage>210</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/BF00122492</pub-id>
</citation>
</ref>
<ref id="B153">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wyer</surname> <given-names>K. E.</given-names>
</name>
<name>
<surname>Kelleghan</surname> <given-names>D. B.</given-names>
</name>
<name>
<surname>Blanes-Vidal</surname> <given-names>V.</given-names>
</name>
<name>
<surname>Schauberger</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Curran</surname> <given-names>T. P.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Ammonia emissions from agriculture and their contribution to fine particulate matter: A review of implications for human health</article-title>. <source>J. Environ. Manage.</source> <volume>323</volume>, <elocation-id>116285</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jenvman.2022.116285</pub-id>
</citation>
</ref>
<ref id="B154">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xie</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Qian</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Tong</surname> <given-names>J.</given-names>
</name>
<etal/>
</person-group>. (<year>2024</year>). <article-title>NH3 emissions and lifetime estimated by satellite observations with differential evolution algorithm</article-title>. <source>Atmosphere</source> <volume>15</volume>, <elocation-id>251</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/atmos15030251</pub-id>
</citation>
</ref>
<ref id="B155">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Yonkofski</surname> <given-names>C. M.</given-names>
</name>
<name>
<surname>Appriou</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Downs</surname> <given-names>J. L.</given-names>
</name>
</person-group> (<year>2019</year>). <source>Dust Control Planning (No. PNNL-29152)</source> (<publisher-loc>Richland, WA, USA</publisher-loc>: <publisher-name>U.S. Department of Energy, Pacific Northwest National Lab.(PNNL</publisher-name>). doi:&#xa0;<pub-id pub-id-type="doi">10.2172/1593515</pub-id>
</citation>
</ref>
<ref id="B156">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>B.</given-names>
</name>
<name>
<surname>He</surname> <given-names>P. J.</given-names>
</name>
<name>
<surname>L&#xfc;</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Shao</surname> <given-names>L. M.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>P.</given-names>
</name>
</person-group> (<year>2007</year>). <article-title>Extracellular enzyme activities during regulated hydrolysis of high-solid organic wastes</article-title>. <source>Water Res.</source> <volume>41</volume>, <fpage>4468</fpage>&#x2013;<lpage>4478</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.watres.2007.06.061</pub-id>
</citation>
</ref>
<ref id="B157">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zuidhof</surname> <given-names>M. J.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Precision livestock feeding: matching nutrient supply with nutrient requirements of individual animals</article-title>. <source>J. Appl. Poultry Res.</source> <volume>29</volume>, <fpage>11</fpage>&#x2013;<lpage>14</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.japr.2019.12.009</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>