<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2022.854731</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>How Does Crop Rotation Influence Soil Moisture, Mineral Nitrogen, and Nitrogen Use Efficiency?</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Rui</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="http://loop.frontiersin.org/people/1341478/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname> <given-names>Ke</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/700137/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Harrison</surname> <given-names>Matthew Tom</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/817123/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Fahad</surname> <given-names>Shah</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/350386/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Zhuangzhi</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="http://loop.frontiersin.org/people/1341540/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Meixue</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/85518/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Xiaoyan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c003"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1314625/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Hubei Collaborative Innovation Center for Grain Industry, Yangtze University</institution>, <addr-line>Jingzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Agriculture College, Yangtze University</institution>, <addr-line>Jingzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Tasmanian Institute of Agriculture, University of Tasmania</institution>, <addr-line>Burnie, TAS</addr-line>, <country>Australia</country></aff>
<aff id="aff4"><sup>4</sup><institution>Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, College of Tropical Crops, Hainan University</institution>, <addr-line>Haikou</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Agronomy, The University of Haripur</institution>, <addr-line>Haripur</addr-line>, <country>Pakistan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Mohsin Tanveer, University of Tasmania, Australia</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Yu Shi, Shandong Agricultural University, China; Chengyan Zheng, Institute of Crop Sciences (CAAS), China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Ke Liu, <email>ke.liu@utas.edu.au</email></corresp>
<corresp id="c002">Shah Fahad, <email>shah_fahad80@yahoo.com</email></corresp>
<corresp id="c003">Xiaoyan Wang, <email>wamail_wang@163.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Crop and Product Physiology, a section of the journal Frontiers in Plant Science</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>854731</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Yang, Liu, Harrison, Fahad, Wang, Zhou and Wang.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Yang, Liu, Harrison, Fahad, Wang, Zhou and Wang</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>Rice&#x2013;wheat (RW) cropping systems are integral to global food security. Despite being practiced for decades, Chinese RW cropping systems often suffer from low productivity and poor nitrogen use efficiency (NUE), reflecting management approaches that are not well-contextualized to region and season. Here, we develop the best management guides for N fertilizer in RW systems that are designed to help raise the productivity, NUE, and environmental sustainability of winter wheat over the long term. 2-year field experiments were conducted with four N fertilizer rates (0, 135, 180, and 225 kg N ha<sup>&#x2013;1</sup>), allowing contrasts of yields, soil moisture, and NUE of wheat in RW in the humid climates zones on the Jianghan Plain. We compared RW systems with soybean/maize dryland wheat (DW) systems that are similarly endemic to China: after soybean/maize is harvested, soils are often drier compared with moisture content following rice harvest. With high seasonal N application rates (180&#x2013;225 kg N ha<sup>&#x2013;1</sup>), wheat crop yields increased by 24% in RW which were greater than comparable yields of wheat in DW, mainly due to greater kernels per spike in the former. Across treatments and years, N accumulation in plant tissue and kernel dry matter of DW was higher than that in RW, although mean agronomic efficiency of nitrogen (AE<sub>N</sub>) and physiological efficiency of nitrogen (PE<sub>N</sub>) of RW systems were greater. As N application rates increased from 135 to 225 kg ha<sup>&#x2013;1</sup>, AE<sub>N</sub> and PE<sub>N</sub> of DW decreased but changed little for RW. Soil ammonium N was much lower than that of nitrate N; changes in NH<sub>4</sub><sup>+</sup> and NO<sub>3</sub><sup>&#x2013;</sup> as a consequence of increasing N fertilization were similar for RW and DW. We recommend that tactical application of N fertilizer continue seasonally until midgrain filling for both the DW and RW systems. At fertilization rates above 180 kg N ha<sup>&#x2013;1</sup>, yield responses disappeared but nitrate leaching increased significantly, suggesting declining environmental sustainability above this N ceiling threshold. Collectively, this study elicits many functional and agronomic trade-offs between yields, NUE, and environmental sustainability as a function of N fertilization. Our results show that yield and NUE responses measured as part of crop rotations are both more robust and more variable when derived over multiple seasons, management conditions, and sites.</p>
</abstract>
<kwd-group>
<kwd>dryland wheat</kwd>
<kwd>rice stubble wheat</kwd>
<kwd>yield</kwd>
<kwd>nitrogen use efficiencies</kwd>
<kwd>soil</kwd>
</kwd-group>
<contract-num rid="cn001">31871578</contract-num>
<contract-num rid="cn002">2016YFD0300107</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China <named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<contract-sponsor id="cn002">National Key Research and Development Program of China <named-content content-type="fundref-id">10.13039/501100012166</named-content></contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="47"/>
<page-count count="10"/>
<word-count count="7458"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Wheat cropping systems endemic to the Jianghan Plain include dryland wheat (DW)&#x2013;soybean- and rice paddy-dryland rotations, wheat being sown in winter and rice in summer. The Jianghan Plain belongs to the subtropical monsoon humid climate zone, and while rainfall can be spuriously distributed throughout the wheat growing season, probabilistically, rainfall is more prevalent between jointing and maturity (<xref ref-type="bibr" rid="B39">Wang et al., 2013</xref>; <xref ref-type="bibr" rid="B24">Li et al., 2021</xref>). Driven by differences in climate, soil, geography, agronomy, and other socio-cultural practices, yields of rice stubble wheat and DW systems vary widely (<xref ref-type="bibr" rid="B41">Yang et al., 2021</xref>; <xref ref-type="bibr" rid="B40">Yan et al., 2022</xref>). In view of the diversity in management systems across the Jianghan Plain, the development of practicable, productive, and environmentally responsible fertilization strategies is of utmost importance to ensuring the long-term sustainability of agri-food systems in the region.</p>
<p>In itself, crop fertilization with nitrogenous compounds is one of the most powerful tactical tools farmers have at their disposal for substantially increasing growth and yield (<xref ref-type="bibr" rid="B28">Rawnsley et al., 2019</xref>; <xref ref-type="bibr" rid="B32">Shah et al., 2021a</xref>). Double-cropping and high-intensity crop rotations conducted on a year-round basis (<xref ref-type="bibr" rid="B47">Zhao et al., 2021</xref>) can contribute to excessive nitrogen use and depletion, resulting in N mining and suboptimal yields (<xref ref-type="bibr" rid="B23">Kodzwa et al., 2020</xref>). On the other hand, excessive and/or poorly timed nitrogen fertilizer application results in both the lower nitrogen use efficiency (NUE) and significant N losses to the environment (<xref ref-type="bibr" rid="B10">Fageria and Baligar, 2005</xref>; <xref ref-type="bibr" rid="B45">Yousaf et al., 2016</xref>; <xref ref-type="bibr" rid="B8">Christie et al., 2018</xref>, <xref ref-type="bibr" rid="B9">2020</xref>), including nitrous oxide emissions (a potent greenhouse gas), nitrate runoff, and leaching into groundwater (<xref ref-type="bibr" rid="B18">Harrison et al., 2014</xref>, <xref ref-type="bibr" rid="B13">2016</xref>; <xref ref-type="bibr" rid="B1">Alcock et al., 2015</xref>; <xref ref-type="bibr" rid="B31">Shah et al., 2017</xref>). Scientific nitrogen fertilizer management advice should carefully consider soil nitrogen supply as a function of crop type and rotation, soil type, existing N levels, and organic matter (<xref ref-type="bibr" rid="B3">Bilotto et al., 2021</xref>), as well as climatic and whole farm management (<xref ref-type="bibr" rid="B15">Harrison et al., 2012a</xref>,<xref ref-type="bibr" rid="B16">b</xref>). Collectively, these factors determine the level of farm intensification and profitability (<xref ref-type="bibr" rid="B20">Ho et al., 2014</xref>; <xref ref-type="bibr" rid="B12">Harrison et al., 2017</xref>). <xref ref-type="bibr" rid="B4">Bu et al. (2019)</xref> contend that in rice-rapeseed rotations, soil nitrogen supply in the early stage of rapeseed is low; however, nitrogen supply of the cotton oil rotation soil at the later stage is greater: optimal N management approaches should thus increase toward later phases for these crop types, considering soil nitrogen supply and crop N demand. In actual production, the supply of soil nitrogen to crop nutrients is affected by climatic conditions (rainfall and temperature), soil (texture and pH), and cultivation management methods (rotation and tillage) (<xref ref-type="bibr" rid="B14">Harrison et al., 2009</xref>; <xref ref-type="bibr" rid="B7">Christie et al., 2014</xref>).</p>
<p>Both the seasonal rainfall distribution and the quantum of individual rainfall events have a large bearing on agronomic outcomes (<xref ref-type="bibr" rid="B6">Chang-Fung-Martel et al., 2017</xref>). Under humid climatic conditions, a single high rainfall event or continuous rainfall for multiple days will cause the nitrate in the soil to runoff with the water surface or leach into the deep soil layer, resulting in the loss of nitrogen (<xref ref-type="bibr" rid="B7">Christie et al., 2014</xref>; <xref ref-type="bibr" rid="B28">Rawnsley et al., 2019</xref>; <xref ref-type="bibr" rid="B19">Hess et al., 2020</xref>; <xref ref-type="bibr" rid="B34">Smith et al., 2021</xref>). Soil moisture is one of the foremost abiotic factors limiting wheat yield potential and nitrogen absorption (<xref ref-type="bibr" rid="B17">Harrison et al., 2011</xref>). Seasonal alternation of water and drought increases soil organic matter and soil water retention performance, although excess soil water will affect the nitrification of ammonium nitrogen in the soil (<xref ref-type="bibr" rid="B42">Yang et al., 2019</xref>; <xref ref-type="bibr" rid="B34">Smith et al., 2021</xref>). Paddy-upland rice rotations promote the transformation of nitrogen, influencing subsequent crop nutrient absorption; choice of crop rotation, therefore, affects the response of the collective system to nitrogen fertilization (<xref ref-type="bibr" rid="B21">Ibrahim et al., 2018</xref>; <xref ref-type="bibr" rid="B29">Ren et al., 2019</xref>). The actual effect of optimized nitrogen fertilizer management varies with soil and climatic conditions depending on contextual genotype by environment by management interactions (<xref ref-type="bibr" rid="B25">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="B33">Shah et al., 2021b</xref>).</p>
<p>While much research has focused on approaches for improving wheat yield and nitrogen-use efficiency (NUE), this research has primarily focused on DW or rice stubble wheat single planting system. There are few comprehensive comparisons of the yield and NUE of the two. Therefore, this study carried out 2 years field experiment in the humid climatic of the Jianghan Plain to analyze the differences in soil moisture in the growing season of DW and RW and to analyze the difference in response of DW and RW yield, NUE, and soil nitrogen content to increasing nitrogen fertilizer.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Field Experimental Details</title>
<p>Field experiments were conducted at the experimental farm at Yangtze University (30&#x00B0;36&#x2032; N, 112&#x00B0;08&#x2032; E, 34 m asl) in Jingzhou, Hubei Province, China in 2017&#x2013;2018 and 2020&#x2013;2021.</p>
<p>This experiment was conducted with two cropping rotation systems in both the cases, we only focused on the wheat within each rotation (<xref ref-type="fig" rid="F1">Figure 1</xref>):</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Schematic diagram of crop rotation and timing of nitrogen fertilizer application.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-854731-g001.tif"/>
</fig>
<p><italic>Dryland crop rotation system</italic>: The summer crops are dryland crops, mainly corn and soybeans, and winter wheat is DW.</p>
<p><italic>Rice-wheat rotation system</italic>: The summer crop is rice and winter wheat is rice stubble wheat (RW). This cropping rotation system has a unique dry&#x2013;wet cycle soil regime.</p>
<p>The daily mean temperature and rainfall during the wheat-growing season are shown in <xref ref-type="fig" rid="F2">Figure 2</xref>. Meteorological data were collected during each growing season using an automatic weather station adjacent to experimental trials conducted here.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>2017&#x2013;2018 <bold>(A)</bold> and 2020&#x2013;2021 <bold>(B)</bold> the daily mean temperature and rainfall during the whole growth period of wheat in the experimental area.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-854731-g002.tif"/>
</fig>
<p>Before beginning the experiment, both the cropping systems had been used primarily for wheat production for more than 10 years. The tillage soil layer (0&#x2013;20 cm) of the two cropping systems was as follows. Soil organic matter 11.00 g kg<sup>&#x2013;1</sup>, available nitrogen 82.03 mg kg<sup>&#x2013;1</sup>, available phosphorus 15.20 mg kg<sup>&#x2013;1</sup>, available potassium 51.11 mg kg<sup>&#x2013;1</sup>, and pH 7.8 in DW, and soil organic matter 12.37 g kg<sup>&#x2013;1</sup>, available nitrogen 51.22 mg kg<sup>&#x2013;1</sup>, available phosphorus 12.07 mg kg<sup>&#x2013;1</sup>, available potassium 52.74 mg kg<sup>&#x2013;1</sup>, and pH 7.79 in RW.</p>
<p>The treatments were arranged in a split-plot design with a cropping system as the main plots and N treatment as the subplots. Nitrogen fertilization treatments (timing and amount) were designed in line with local management. The four N treatments were applied as follows: 0 kg N ha<sup>&#x2013;1</sup> (N<sub>0</sub>), 135 kg N ha<sup>&#x2013;1</sup> (N<sub>135</sub>), 180 kg N ha<sup>&#x2013;1</sup> (N<sub>180</sub>), and 225 kg N ha<sup>&#x2013;1</sup> (N<sub>225</sub>), of which 180 kg N ha<sup>&#x2013;1</sup> is the local conventional N application rate. N fertilizer was applied at the basal, tillering, and jointing initiation stages in a ratio of 1: 1: 1, being 45 kg N ha<sup>&#x2013;1</sup> for the N<sub>135</sub> treatment, 60 kg N ha<sup>&#x2013;1</sup> for the N<sub>180</sub> treatment, and 75 kg N ha<sup>&#x2013;1</sup> for the N<sub>225</sub> treatment, respectively. Each plot is repeated four times, arranged in random block groups, with a plot area of 12 m<sup>2</sup> (2 m &#x00D7; 6 m). The experimental design and wheat growth process are shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. In the experiment, &#x201C;Zhengmai 9023&#x201D; was used as the tested variety, and the planting density was 2.25 million plants ha<sup>&#x2013;1</sup>. N fertilizer was applied in the form of urea (46% N) that was ploughed into the soil during sowing and was spread as top dressing. Plots were supplied with P (105 kg P<sub>2</sub>O<sub>5</sub> ha<sup>&#x2013;1</sup>, calcium superphosphate) and K (105 kg K<sub>2</sub>O ha<sup>&#x2013;1</sup> potassium sulfate) fertilizer during the sowing period. We did not need to irrigate during the two growing seasons due to the abundant rainfall. Herbicides, pesticides, and fungicides were sprayed according to standard growing practices to avoid yield loss.</p>
</sec>
<sec id="S2.SS2">
<title>Measurement of Yield and Yield Components</title>
<p>We selected mature plants from a 2 m<sup>2</sup> harvest area in the middle of each plot to determine the yield and yield components. The spike number was enumerated in each plot and recorded prior to harvest. All spikes were manually harvested, threshed, and weighed to calculate grain yield. The average number of kernels per spike was enumerated from 30 spikes. One thousand random kernels from each harvested grain were weighed to calculate a 1,000-kernel weight. Grain moisture was measured using a grain analyzer (InfratecTM, Foss, Denmark). Grain yield and 1,000-kernel weight were adjusted to 13% moisture.</p>
</sec>
<sec id="S2.SS3">
<title>Measurement of N Accumulation and Nitrogen Use Efficiency</title>
<p>The shoot biomass was harvested from twenty mature plants in each plot at the flowering and maturity. Samples were oven-dried at 65&#x00B0;C for at least 48 h until they were a constant weight. Then, pulverized with a plant grinder, followed by digestion in sulfuric acid at 400&#x00B0;C. Then, the N contents in the plant were measured with an automatic Kjeldahl analyzer (Kjeltec-8400, FOSS, Denmark) and the values were used to calculate the agronomic efficiency of nitrogen (AE<sub>N</sub>) and physiological efficiency of nitrogen (PE<sub>N</sub>).</p>
<p><italic>AE</italic><sub><italic>N</italic></sub> = (Grain yield in the plot that received N applied&#x2013;grain yield in the zero-N control)/(amount of N applied).</p>
<p>Which represents the amount of yield increased per unit N fertilizer, reflecting the economic performance of N fertilizer in terms of grain production.</p>
<p><italic>PE</italic><sub><italic>N</italic></sub> = (Grain yield in the plot that received N applied&#x2013;grain yield in the zero-N control)/(total aboveground plant N accumulation in the plot received N applied&#x2013;total aboveground plant N accumulation in the zero-N control).</p>
<p>Which represents the yield increase per kg increase in N uptake from fertilizer. It expresses the efficiency with which the plant utilizes N taken up to produce fruit dry biomass.</p>
</sec>
<sec id="S2.SS4">
<title>Measurement of Soil Moisture Content, Nitrate, and Ammonium Nitrogen</title>
<p>Soil samples were collected from each plot at the flowering (March 28, 2021), midfilling (April 14, 2021), and maturity (May 8, 2021) of wheat. Soil samples to a depth of 60 cm were obtained in triplicate by a soil auger (5-cm diameter) at 20-cm intervals. In total, 10 g of each sample was taken for determinations of nitrate (NO<sub>3</sub><sup>&#x2013;</sup>) and ammonium (NH<sub>4</sub><sup>+</sup>), and the remaining dose was used for a gravimetric water content determination. The 10 g of the soil sample was extracted with 50 ml of 1 mol l<sup>&#x2013;1</sup> KCl to obtain the nitrate and ammonium concentrations in the soil. All nitrate and ammonium concentrations in various solutions were determined using A SMARTCHEN automatic intermittent chemical analyzer. The gravimetric soil moisture content of the samples was subsequently measured using the oven-drying method (105&#x00B0;C for 24 h).</p>
</sec>
<sec id="S2.SS5">
<title>Statistical Analysis</title>
<p>Data were analyzed using a three-way (year, cropping system, and nitrogen management) ANOVA with SAS 9.2 (SAS Institute, Cary, NC, United States). Treatment means were compared using the least significant differences (LSD) at <italic>P</italic> &#x003C; 0.05.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Climate Conditions During the Wheat Growing Season</title>
<p>The daily mean temperatures for the wheat filling period were 20.4&#x00B0;C in 2017&#x2013;2018 and 17.6&#x00B0;C in 2020&#x2013;2021. The reduced temperature in the post-flowering period extends the length of the grain filling period in 2020&#x2013;2021(<xref ref-type="fig" rid="F2">Figure 2</xref>). The total rainfall for the wheat growing season was 351.1 mm in 2017&#x2013;2018 and 263.8 mm in 2020&#x2013;2021. In 2017&#x2013;2018, the rainfall from wintering to jointing of wheat was 149.4 mm, accounting for 43% of the total rainfall during the growth period. In 2020&#x2013;2021, the rainfall from the winter to the jointing of wheat was only 44.5 mm. The rainfall in this year was mainly concentrated in the filling period reached 132.6 mm, accounting for 50% of the rainfall in the entire growth period of wheat, 39% more than that in the same period in 2017&#x2013;2018. Compared with 2017&#x2013;2018, the frequency of rainfall in the filling period in 2020&#x2013;2021 is higher. Rainy days accounted for 44% of the total filling days. The daily mean rainfall of the rainy days in the filling period was 7.0 mm, of which 57% was concentrated in the early stage of filling.</p>
</sec>
<sec id="S3.SS2">
<title>Soil Moisture Content (%)</title>
<p><xref ref-type="fig" rid="F3">Figure 3</xref> shows the 0&#x2013;60 cm soil moisture content during the grain filling period of DW and rice stubble wheat (RW) in 2020&#x2013;2021. The soil moisture content of RW was significantly (<italic>P</italic> &#x003C; 0.05) higher than DW (except for 0&#x2013;20 cm at maturity), higher 0.6&#x2013;3.2% at 0&#x2013;20 cm, 2.2&#x2013;4.1% at 20&#x2013;40 cm, and 2.1&#x2013;6.9% at 40&#x2013;60 cm soil depth than DW.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Soil moisture content in different rotation wheat seasons in 2020&#x2013;2021 (0&#x2013;60 cm). Different lowercase letters indicate a significant difference (<italic>P</italic> &#x003C; 0.05) between dryland wheat vs. rice stubble wheat.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-854731-g003.tif"/>
</fig>
</sec>
<sec id="S3.SS3">
<title>Yield and Yield Components</title>
<p>Increasing N significantly improved grain yield in DW and RW, with significant differences between years (<xref ref-type="table" rid="T1">Table 1</xref>). Compared with N0, the yield of N supply increased by 1.2&#x2013;1.4 times (RW), 0.5&#x2013;0.7 times (DW) in 2017&#x2013;2018; the yield increased by 2.0&#x2013;2.5 times (RW), 1.6&#x2013;1.7 times (DW) in 2020&#x2013;2021, increased N supply has a greater effect on the increase in RW. The yield of DW was higher than that of RW, which was more pronounced in the N<sub>0</sub> and N<sub>135</sub> treatment in 2020&#x2013;2021. When the N supply was increased from 135 to 180 kg ha<sup>&#x2013;1</sup>, the yield increase of DW and RW will only reach significant levels in 2020&#x2013;2021. When the N supply was increased from 180 to 225 kg ha<sup>&#x2013;1</sup>, the yield increase of DW and RW was not significant in 2017&#x2013;2018 and 2020&#x2013;2021.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Wheat yield and yield composition at dryland wheat (DW) and rice stubble wheat (RW).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Growing season</td>
<td valign="top" align="center">Crop pattern</td>
<td valign="top" align="center">N treatment</td>
<td valign="top" align="center">Grain yield (kg ha<sup>&#x2013;1</sup>)</td>
<td valign="top" align="center">Spike number (10<sup>4</sup> ha<sup>&#x2013;1</sup>)</td>
<td valign="top" align="center">Kernels per spike</td>
<td valign="top" align="center">1,000-grain weight (g)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7">2017&#x2013;2018</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">DW</td>
<td valign="top" align="center">N<sub>0</sub></td>
<td valign="top" align="center">3755.2bA</td>
<td valign="top" align="center">316.8bA</td>
<td valign="top" align="center">29.7cA</td>
<td valign="top" align="center">40.4aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>135</sub></td>
<td valign="top" align="center">5967.0aA</td>
<td valign="top" align="center">479.5aA</td>
<td valign="top" align="center">35.2bA</td>
<td valign="top" align="center">38.5aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>180</sub></td>
<td valign="top" align="center">6418.0aA</td>
<td valign="top" align="center">480.5aA</td>
<td valign="top" align="center">38.6aA</td>
<td valign="top" align="center">39.1aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>225</sub></td>
<td valign="top" align="center">5804.3aA</td>
<td valign="top" align="center">509.3aA</td>
<td valign="top" align="center">37.9aA</td>
<td valign="top" align="center">39.1aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"><bold>Mean</bold></td>
<td valign="top" align="center"><bold>5486.1</bold></td>
<td valign="top" align="center"><bold>446.5</bold></td>
<td valign="top" align="center"><bold>35.4</bold></td>
<td valign="top" align="center"><bold>39.3</bold></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">RW</td>
<td valign="top" align="center">N<sub>0</sub></td>
<td valign="top" align="center">1253.6bB</td>
<td valign="top" align="center">292.5bA</td>
<td valign="top" align="center">18.9bB</td>
<td valign="top" align="center">39.6aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>135</sub></td>
<td valign="top" align="center">5808.7aA</td>
<td valign="top" align="center">413.3aA</td>
<td valign="top" align="center">37.1aA</td>
<td valign="top" align="center">40.0aB</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>180</sub></td>
<td valign="top" align="center">6558.7aA</td>
<td valign="top" align="center">459.3aA</td>
<td valign="top" align="center">39.1aA</td>
<td valign="top" align="center">40.0aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>225</sub></td>
<td valign="top" align="center">5859.8aA</td>
<td valign="top" align="center">437.5aB</td>
<td valign="top" align="center">37.8aA</td>
<td valign="top" align="center">40.9aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"><bold>Mean</bold></td>
<td valign="top" align="center"><bold>4870.2</bold></td>
<td valign="top" align="center"><bold>400.7</bold></td>
<td valign="top" align="center"><bold>33.2</bold></td>
<td valign="top" align="center"><bold>40.1</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7">2020&#x2013;2021</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">DW</td>
<td valign="top" align="center">N<sub>0</sub></td>
<td valign="top" align="center">1412.3cA</td>
<td valign="top" align="center">230.3cA</td>
<td valign="top" align="center">27.2bA</td>
<td valign="top" align="center">34.4aB</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>135</sub></td>
<td valign="top" align="center">3141.4bA</td>
<td valign="top" align="center">293.3bA</td>
<td valign="top" align="center">31.7aA</td>
<td valign="top" align="center">39.6aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>180</sub></td>
<td valign="top" align="center">3564.6aA</td>
<td valign="top" align="center">343.7abA</td>
<td valign="top" align="center">31.9aB</td>
<td valign="top" align="center">39.0aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>225</sub></td>
<td valign="top" align="center">3652.5aA</td>
<td valign="top" align="center">391.3aA</td>
<td valign="top" align="center">34.4aB</td>
<td valign="top" align="center">40.7aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"><bold>Mean</bold></td>
<td valign="top" align="center"><bold>2942.7</bold></td>
<td valign="top" align="center"><bold>314.7</bold></td>
<td valign="top" align="center"><bold>31.3</bold></td>
<td valign="top" align="center"><bold>38.4</bold></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">RW</td>
<td valign="top" align="center">N<sub>0</sub></td>
<td valign="top" align="center">1031.4cB</td>
<td valign="top" align="center">182.3cB</td>
<td valign="top" align="center">23.2cA</td>
<td valign="top" align="center">39.2aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>135</sub></td>
<td valign="top" align="center">2844.6bA</td>
<td valign="top" align="center">282.0bA</td>
<td valign="top" align="center">33.9bA</td>
<td valign="top" align="center">39.9aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>180</sub></td>
<td valign="top" align="center">3479.4aA</td>
<td valign="top" align="center">309.0aA</td>
<td valign="top" align="center">36.1abA</td>
<td valign="top" align="center">40.0aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>225</sub></td>
<td valign="top" align="center">3567.8aA</td>
<td valign="top" align="center">311.0aB</td>
<td valign="top" align="center">39.1aA</td>
<td valign="top" align="center">40.8aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"><bold>Mean</bold></td>
<td valign="top" align="center"><bold>2730.8</bold></td>
<td valign="top" align="center"><bold>271.1</bold></td>
<td valign="top" align="center"><bold>33.1</bold></td>
<td valign="top" align="center"><bold>40.0</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7">ANOVA</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Year (Y)</td>
<td valign="top" align="center">298.05<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">195.06<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">20.69<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.05ns</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Pattern (P)</td>
<td valign="top" align="center">9.95<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">23.60<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.11ns</td>
<td valign="top" align="center">6.72<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">N fertilizer (N)</td>
<td valign="top" align="center">111.93<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">62.20<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">156.51<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">3.88<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Y &#x00D7; P</td>
<td valign="top" align="center">1.73ns</td>
<td valign="top" align="center">0.02ns</td>
<td valign="top" align="center">17.99<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.47ns</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Y &#x00D7; N</td>
<td valign="top" align="center">7.95<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.98ns</td>
<td valign="top" align="center">7.61<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">3.51<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">P &#x00D7; N</td>
<td valign="top" align="center">6.38<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.33ns</td>
<td valign="top" align="center">27.28<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.69ns</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Y &#x00D7; P &#x00D7; N</td>
<td valign="top" align="center">4.32<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center">0.91ns</td>
<td valign="top" align="center">2.12ns</td>
<td valign="top" align="center">3.04<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fns1"><p><italic>Different lowercase letters on the same column indicate a significant difference (p &#x003C; 0.05) between N treatments. Different uppercase letters on the same column indicate a significant difference (p &#x003C; 0.05) between dryland wheat vs. rice stubbly wheat. &#x002A;P &#x003C; 0.05; &#x002A;&#x002A;P &#x003C; 0.01. ns, not significant.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>The yield components of wheat were both significantly (<italic>P</italic> &#x003C; 0.05) affected by planting patterns and N treatments (<xref ref-type="table" rid="T1">Table 1</xref>). The spike number of DW was 4&#x2013;26.3% higher than that of RW under the same treatment, while RW has an advantage in the kernels per spike. Increased N supply has a difference in the increase of the spike number and kernels per spike of DW and RW. The highest increase in the spike number of DW and RW by increasing N supply by an average of 65.3 and 63.8%, respectively, over the two wheat growing seasons. The highest increase in the kernels per spike of DW was 28.3% on average, while RW could reach 87.8%. The results showed that increased N supply has a greater effect on increasing the kernels per spike in RW. Affected by the low rainfall from the tillering to the jointing of wheat and the excessive rainfall during the wheat filling in 2020&#x2013;2021 (<xref ref-type="fig" rid="F2">Figure 2</xref>), the spike number and kernels per spike of wheat under the same treatment in 2020&#x2013;2021 was significantly lower than that in 2017&#x2013;2018, and the 1,000-grain weight was not significant differences.</p>
</sec>
<sec id="S3.SS4">
<title>N Accumulation and Nitrogen-Use Efficiency</title>
<p>There were significant differences in the N accumulation and NUE between DW and RW (<xref ref-type="table" rid="T2">Table 2</xref>). Under the same N supply, the N accumulation in plant tissue and kernel dry matter of DW in 2017&#x2013;2018 was 9.2&#x2013;168.9% and 31.2&#x2013;199.4% higher than at RW. There were significant differences only under N<sub>0</sub> treatment in 2020&#x2013;2021. The agronomic efficiency of nitrogen (AE<sub>N</sub>) and physiological efficiency of nitrogen (PE<sub>N</sub>) at RW were significantly higher than at DW by 11.4&#x2013;17.4 and 15.3&#x2013;25.6 kg kg<sup>&#x2013;1</sup>. RW was also higher than DW in 2020&#x2013;2021, but the difference was not significant. The plant N accumulation and NUE of DW and RW were different in years. The N accumulation in 2017&#x2013;2018 was higher than that in 2020&#x2013;2021, and there was a significant difference between DW and RW in the first year. The second year also showed the same regular difference, but the difference did not reach a significant level.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Responses of nitrogen accumulation and nitrogen use efficiency of wheat under dryland wheat (DW) and rice stubble wheat (RW) to increased nitrogen fertilizer application.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Growing season</td>
<td valign="top" align="center">Crop pattern</td>
<td valign="top" align="center">N treatment</td>
<td valign="top" align="center">Plant N accumulation at anthesis</td>
<td valign="top" align="center">Plant N accumulation at maturity</td>
<td valign="top" align="center">Grain N accumulation</td>
<td valign="top" align="center">AE<sub>N</sub></td>
<td valign="top" align="center">PE<sub>N</sub></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="8">2017&#x2013;2018</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">DW</td>
<td valign="top" align="center">N<sub>0</sub></td>
<td valign="top" align="center">55.1dA</td>
<td valign="top" align="center">77.0cA</td>
<td valign="top" align="center">60.4dA</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>135</sub></td>
<td valign="top" align="center">123.9cA</td>
<td valign="top" align="center">164.3bA</td>
<td valign="top" align="center">121.4cA</td>
<td valign="top" align="center">16.4aB</td>
<td valign="top" align="center">25.0aB</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>180</sub></td>
<td valign="top" align="center">143.6bA</td>
<td valign="top" align="center">207.9aA</td>
<td valign="top" align="center">150.4bA</td>
<td valign="top" align="center">14.8abB</td>
<td valign="top" align="center">20.1abB</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>225</sub></td>
<td valign="top" align="center">174.7aA</td>
<td valign="top" align="center">218.4aA</td>
<td valign="top" align="center">160.4aA</td>
<td valign="top" align="center">9.1bB</td>
<td valign="top" align="center">14.5bB</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"><bold>Mean</bold></td>
<td valign="top" align="center"><bold>124.32</bold></td>
<td valign="top" align="center"><bold>166.92</bold></td>
<td valign="top" align="center"><bold>123.16</bold></td>
<td valign="top" align="center"><bold>13.43</bold></td>
<td valign="top" align="center"><bold>19.9</bold></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">RW</td>
<td valign="top" align="center">N<sub>0</sub></td>
<td valign="top" align="center">18.4cB</td>
<td valign="top" align="center">32.1cB</td>
<td valign="top" align="center">22.5cB</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>135</sub></td>
<td valign="top" align="center">94.4bB</td>
<td valign="top" align="center">144.9bB</td>
<td valign="top" align="center">111.2bB</td>
<td valign="top" align="center">33.7aA</td>
<td valign="top" align="center">40.3aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>180</sub></td>
<td valign="top" align="center">105.7aB</td>
<td valign="top" align="center">156.6aB</td>
<td valign="top" align="center">123.1aB</td>
<td valign="top" align="center">29.5bA</td>
<td valign="top" align="center">42.7aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>225</sub></td>
<td valign="top" align="center">109.0aB</td>
<td valign="top" align="center">147.6abB</td>
<td valign="top" align="center">118.2abB</td>
<td valign="top" align="center">20.5cA</td>
<td valign="top" align="center">40.1aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"><bold>Mean</bold></td>
<td valign="top" align="center"><bold>81.90</bold></td>
<td valign="top" align="center"><bold>120.30</bold></td>
<td valign="top" align="center"><bold>93.74</bold></td>
<td valign="top" align="center"><bold>27.90</bold></td>
<td valign="top" align="center"><bold>41.0</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="8">2020&#x2013;2021</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">DW</td>
<td valign="top" align="center">N<sub>0</sub></td>
<td valign="top" align="center">29.1cA</td>
<td valign="top" align="center">30.0cA</td>
<td valign="top" align="center">19.3bA</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>135</sub></td>
<td valign="top" align="center">78.4bA</td>
<td valign="top" align="center">83.3bA</td>
<td valign="top" align="center">60.3bA</td>
<td valign="top" align="center">12.8aA</td>
<td valign="top" align="center">32.6aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>180</sub></td>
<td valign="top" align="center">107.6aA</td>
<td valign="top" align="center">116.7aA</td>
<td valign="top" align="center">70.2aA</td>
<td valign="top" align="center">12.4aA</td>
<td valign="top" align="center">26.3bA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>225</sub></td>
<td valign="top" align="center">116.1aA</td>
<td valign="top" align="center">126.1aA</td>
<td valign="top" align="center">71.0aA</td>
<td valign="top" align="center">10.0bA</td>
<td valign="top" align="center">23.6bA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"><bold>Mean</bold></td>
<td valign="top" align="center"><bold>82.8</bold></td>
<td valign="top" align="center"><bold>89.0</bold></td>
<td valign="top" align="center"><bold>55.2</bold></td>
<td valign="top" align="center"><bold>11.7</bold></td>
<td valign="top" align="center"><bold>27.5</bold></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">RW</td>
<td valign="top" align="center">N<sub>0</sub></td>
<td valign="top" align="center">21.7dB</td>
<td valign="top" align="center">22.3dB</td>
<td valign="top" align="center">11.5dB</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>135</sub></td>
<td valign="top" align="center">71.7cA</td>
<td valign="top" align="center">86.3cA</td>
<td valign="top" align="center">51.0cA</td>
<td valign="top" align="center">13.4aA</td>
<td valign="top" align="center">28.3aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>180</sub></td>
<td valign="top" align="center">97.4bA</td>
<td valign="top" align="center">106.8bA</td>
<td valign="top" align="center">62.3bA</td>
<td valign="top" align="center">13.6aA</td>
<td valign="top" align="center">29.1aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">N<sub>225</sub></td>
<td valign="top" align="center">111.5aA</td>
<td valign="top" align="center">124.2aA</td>
<td valign="top" align="center">75.8aA</td>
<td valign="top" align="center">11.3aA</td>
<td valign="top" align="center">24.9aA</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"><bold>Mean</bold></td>
<td valign="top" align="center"><bold>75.6</bold></td>
<td valign="top" align="center"><bold>84.9</bold></td>
<td valign="top" align="center"><bold>50.1</bold></td>
<td valign="top" align="center"><bold>12.8</bold></td>
<td valign="top" align="center"><bold>27.4</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="8">ANOVA</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Year(Y)</td>
<td valign="top" align="center">212.71<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1087.44<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1155.96<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">135.10<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">6.01<xref ref-type="table-fn" rid="t2fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Rotation(P)</td>
<td valign="top" align="center">229.73<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">218.31<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">110.33<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">114.70<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">74.57<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">N fertilizer(N)</td>
<td valign="top" align="center">677.37<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">920.37<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">476.27<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">28.38<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">7.67<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Y &#x00D7; P</td>
<td valign="top" align="center">114.95<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">152.93<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">55.08<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">86.23<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">75.16<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Y &#x00D7; N</td>
<td valign="top" align="center">8.71<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">32.91<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">37.87<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">9.84<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.12ns</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">P &#x00D7; N</td>
<td valign="top" align="center">4.99<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">12.45<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">2.80<xref ref-type="table-fn" rid="t2fns1">&#x002A;</xref></td>
<td valign="top" align="center">1.13ns</td>
<td valign="top" align="center">4.28<xref ref-type="table-fn" rid="t2fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Y &#x00D7; P &#x00D7; N</td>
<td valign="top" align="center">7.09<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">8.01<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">8.68<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.78ns</td>
<td valign="top" align="center">0.38ns</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t2fns1"><p><italic>Different lowercase letters on the same column indicate a significant difference (p &#x003C; 0.05) between N treatments. Different uppercase letters on the same column indicate a significant difference (p &#x003C; 0.05) between dryland wheat vs. rice stubbly wheat. &#x002A;P &#x003C; 0.05; &#x002A;&#x002A;P &#x003C; 0.01. ns, not significant.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>Increased N supply has a significant impact on the plant N accumulation and NUE at DW and RW (<xref ref-type="table" rid="T2">Table 2</xref>). With the increase of N supply, the N accumulation in plant tissue and kernel dry matter of DW at flowering and maturity increased significantly. Compared with N<sub>135</sub> treatment, the N accumulation at flowering and maturity of N<sub>180</sub> treatment increased by an average of 26.6 and 23.9%, respectively, over the two wheat growing seasons, and RW increased by 33.3 and 15.9%. The corresponding N accumulation in the kernel of DW and RW increased by 20.2 and 16.4%, respectively. The increase of N<sub>225</sub> treatment compared with N<sub>180</sub> treatment reached a significant level only in DW in 2017&#x2013;2018 and RW in 2020&#x2013;2021. With the increase of N supply, AE<sub>N</sub> and PE<sub>N</sub> of DW decreased significantly, but AE<sub>N</sub> and PE<sub>N</sub> of RW had no significant difference between nitrogen treatment (except for AE<sub>N</sub> in 2017&#x2013;2018).</p>
</sec>
<sec id="S3.SS5">
<title>Soil NO<sub>3</sub><sup>&#x2013;</sup>-N and NH<sub>4</sub><sup>+</sup>-N</title>
<p>In the flowering, both DW and RW 0&#x2013;20 cm soil NO<sub>3</sub><sup>&#x2013;</sup>-N increased with the increase of N supply, and both reached the maximum under N<sub>225</sub> treatment (<xref ref-type="fig" rid="F4">Figure 4</xref>). Which were significantly increased by 4.3&#x2013;7.3 mg kg<sup>&#x2013;1</sup> at DW, 3.6&#x2013;4.9 mg kg<sup>&#x2013;1</sup> at RW, compared with other treatments; But at 20&#x2013;40 cm soil layer, the increase of N supply gradually reduced the soil NO<sub>3</sub><sup>&#x2013;</sup>&#x2013;N content. The DW soil NO<sub>3</sub><sup>&#x2013;</sup>&#x2013;N content of N<sub>225</sub> treatment increased 2.4&#x2013;3.6 mg kg<sup>&#x2013;1</sup> compared with other n treatments, while RW Only increased by 0.4&#x2013;0.5 mg kg<sup>&#x2013;1</sup>. With the deepening of the soil layer, the difference in the soil NO<sub>3</sub><sup>&#x2013;</sup>&#x2013;N content at DW and RW between N treatments gradually decreased. In the middle of filling, only the 0&#x2013;20 cm soil NO<sub>3</sub><sup>&#x2013;</sup>&#x2013;N content at DW has significant differences between N treatments, while at RW was not significant; There was no significant difference in the NO<sub>3</sub><sup>&#x2013;</sup>&#x2013;N content at DW in 20&#x2013;60 cm soil between N treatments, but the N<sub>225</sub> treatment significantly increased 0.8&#x2013;2.7 mg kg<sup>&#x2013;1</sup> compared with other N treatments in RW. In the maturity, the 0&#x2013;40 cm soil NO<sub>3</sub><sup>&#x2013;</sup>&#x2013;N content at DW and RW had no significant difference between N treatments.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Changes in soil NO<sub>3</sub><sup>&#x2013;</sup>&#x2013;N and NH<sub>4</sub><sup>+</sup>&#x2013;N content during the late growth stage of wheat under dryland wheat (DW) and rice stubble wheat (RW) in 2020&#x2013;2021. &#x002A;<italic>P</italic> &#x003C; 0.05; &#x002A;&#x002A;<italic>P</italic> &#x003C; 0.01; ns, non-significant.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-854731-g004.tif"/>
</fig>
<p>The content of NH<sub>4</sub><sup>+</sup>&#x2013;N in the soil is low, only 7.4&#x2013;46.2% of the corresponding nitrate-nitrogen content (<xref ref-type="fig" rid="F4">Figure 4</xref>). In the flowering, increased N supply increased the 0&#x2013;20 cm soil NH<sub>4</sub><sup>+</sup>&#x2013;N content at DW and RW. Compared with other N treatments, N<sub>225</sub> treatment increased by 0.02&#x2013;0.45 mg kg<sup>&#x2013;1</sup> under DW and RW. The NH<sub>4</sub><sup>+</sup>&#x2013;N in 20&#x2013;60 cm soil was not significantly different between N treatments. In the middle of filling, there were significant differences in the NH<sub>4</sub><sup>+</sup>&#x2013;N at DW in 0&#x2013;60 cm soil between N treatments, while the difference in RW was only in the 0&#x2013;40 cm soil layer. At maturity, there were no significant differences in NH<sub>4</sub><sup>+</sup>&#x2013;N between DW and RW in the 0&#x2013;20 cm soil layer, but there were significant differences between the 40 and 60 cm soil layer.</p>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>This study compared the nitrogen accumulation and yield of DW and rice stubble wheat (RW) in response to different nitrogen levels. Our research results show that there were differences in nitrogen accumulation and yield of wheat between years, and the effect of nitrogen fertilizer on RW is better than DW, and RW has a higher NUE.</p>
<sec id="S4.SS1">
<title>Differences in Soil Moisture Content and Mineral Nitrogen Between Dryland Wheat and Rice-Wheat</title>
<p>The type of soil texture and the depth of the soil layer are the main factors that affect the soil moisture pattern. From the perspective of the vertical change characteristics of soil water content, the water content of the 0&#x2013;60 cm soil layer increases with the increase of depth (<xref ref-type="fig" rid="F3">Figure 3</xref>). Because there are more residual straws in the soil surface layer, the decomposed humus promotes the formation of soil porosity (<xref ref-type="bibr" rid="B36">Turmel et al., 2015</xref>), and the wheat root system is mainly distributed in the surface layer (<xref ref-type="bibr" rid="B41">Yang et al., 2021</xref>). The soil surface layer has a large infiltration rate, which is not conducive to the preservation of soil moisture. Therefore, the soil moisture content of the soil surface layer is likely to fluctuate with rainfall. There was a big difference in soil moisture between DW and RW. Rotation methods will change the physical properties of the soil. Long-term paddy-rice rotation promotes soil granulation. The soil texture of RW was stickier and its soil moisture content is 2.2&#x2013;4.3% higher than that of DW on average (<xref ref-type="fig" rid="F3">Figure 3</xref>). This may be mainly because the rice stubble wheat soil with fine texture and high field water holding capacity will more effectively store rainwater with high rainfall (<xref ref-type="bibr" rid="B44">Yoo et al., 1998</xref>).</p>
<p>The concentration of mineral nitrogen is an important index to evaluate the available nitrogen supply capacity of the soil, and the change of soil moisture is one of the most important environmental factors affecting nitrogen mineralization and nitrification. Studies have suggested that nitrification is more sensitive to water than ammonification, and the nitrification rate will be inhibited when the soil moisture is high (<xref ref-type="bibr" rid="B30">Schimel and Parton, 1986</xref>; <xref ref-type="bibr" rid="B38">Wang et al., 2021</xref>). This is mainly because the increase in rainfall results in a large soil moisture content, which is not conducive to the diffusion of oxygen in the soil. Nitrifying bacteria prefer aerobic conditions. Excessive rainfall makes clay loam soils with higher field water holding capacity more likely to form an anaerobic environment, inhibiting nitrifying bacteria and nitrification (<xref ref-type="bibr" rid="B5">Cameron et al., 2013</xref>). Soil available nitrogen supply was affected by soil water content, and rice stubble wheat has a greater decrease in nitrate-nitrogen content in the middle of grain filling when the soil water content was higher. <xref ref-type="bibr" rid="B2">Armstrong et al. (1996)</xref> found that the response of dryland sorghum to nitrogen application largely depends on the soil moisture content, and the response to nitrogen increase depends on the time of rainfall. The results of this study can also prove this point. Due to the influence of soil water content and high rainfall frequency, the nitrate-nitrogen content of the surface soil of rice stubble wheat is less responsive to increased nitrogen fertilizer application than DW. This is because of the three ways of soil nutrient loss (gas loss, leaching loss and runoff, and erosion loss), both leaching loss and runoff loss are highly susceptible to rainfall intensity. The Jianghan Plain has abundant rainfall, with a total rainfall of 132.6 mm during the wheat filling period in 2020&#x2013;2021, which is a humid climate zone (<xref ref-type="fig" rid="F2">Figure 2</xref>). The soil nitrogen loss pathways of rice stubble wheat and DW have a great relationship with soil texture and soil moisture. When the rainfall of the fine-textured paddy soil exceeds the infiltration amount of the soil, the field water holding capacity will reach a saturated state, and the field water is more likely to form surface runoff (<xref ref-type="bibr" rid="B46">Zhao et al., 2012</xref>); The rough soil has strong water conductivity, fast soil infiltration rate, and more serious leaching loss (<xref ref-type="bibr" rid="B35">Sugita and Nakane, 2007</xref>). We suggest that the interplay between soil water and soil nitrogen in crop rotations warrants further attention: part of this could include direct quantification of the association between soil moisture and soil nitrogen at the beginning of the cropping phase and subsequent implications for both growth and NUE.</p>
</sec>
<sec id="S4.SS2">
<title>Differences in Nitrogen Accumulation Between Dryland Wheat and Rice-Wheat</title>
<p>This study adds significant novelty to the scientific literature as we compare: (1) cropping systems rotational effects (RW or soybean/corn&#x2013;wheat) on soil nitrogen and crop NUE and (2) our contrast between RW and DW systems allows direct comparison of the effects of residual soil moisture on subsequent crop growth and NUE. Indeed, soil mineral nitrogen concentration is often linked with the vegetative growth of wheat. Some studies have shown that high levels of mineral N (NO<sub>3</sub><sup>&#x2013;</sup> and NH<sub>4</sub><sup>+</sup>) stimulate shoot biomass accumulation of fertilized treatments, neither seed yield nor seed nitrogen concentration was affected by soil mineral N availability (<xref ref-type="bibr" rid="B37">Voisin et al., 2002</xref>). In contrast, this study has shown that the yield and nitrogen accumulation of RW were related to nitrogen application rate and soil mineral nitrogen content at flowering (<xref ref-type="table" rid="T2">Table 2</xref>). Increasing nitrogen application significantly increased the soil mineral nitrogen content of rice stubble and wheat, and increased plant nitrogen accumulation. Compared to the RW, plant N accumulation at maturity was greater at the DW. Only when the N accumulation at DW at the flowering stage was greater than at RW, the N accumulation of at DW at maturity was greater at RW (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<p>Excessive rainfall at the time of fertilization may cause loss of external nitrogen sources at RW soil because the amount of fertilizer-N applied before flowering initiation was similar at the two systems. Therefore, in areas with high rainfall, RW may be more suitable for small and multiple fertilization, especially to avoid the high-frequency rainfall period (March&#x2013;May). Even though <xref ref-type="bibr" rid="B27">Ney et al. (1997)</xref> stressed that any diagnosis using the critical nitrogen concentration was best done before seed filling. However, the more rainfall from March to May in Jianghan Plain makes the nitrogen supply in different wheat growing environments different, so we believe that it is equally important to understand the soil nitrogen supply in the later stages of wheat growth.</p>
</sec>
<sec id="S4.SS3">
<title>Differences in Yield and Nitrogen-Use Efficiency Between Dryland Wheat and Rice-Wheat</title>
<p>Under low nitrogen (0&#x2013;135 kg ha<sup>&#x2013;1</sup>), the yield of DW was higher than that of RW, and under conditions of sufficient nitrogen supply, RW can also obtain the same yield as DW. The results show that the soil of DW has a higher basic nitrogen supply capacity. In this experiment, DW has a higher spike number and nitrogen accumulation at flowering. The soil of DW provides more nitrogen in the early growth period and has more tillers at wintering and spike number at harvest (<xref ref-type="bibr" rid="B43">Yin et al., 2018</xref>). This may be the reason for the higher yield of DW and the higher accumulation of nitrogen at flowering. Compared with DW, the conversion of paddy fields to dryland causes changes in the physical and chemical properties of the soil. Poor soil aeration has an adverse effect on the emergence of RW and the growth of the seedling stage (<xref ref-type="bibr" rid="B26">Nawaz et al., 2016</xref>). Therefore, the spike number at maturity of RW is less than that of DW. The yield increase effect of RW was mainly that the number of kernels per spike was increased by 71.2&#x2013;84.4% (<xref ref-type="table" rid="T1">Table 1</xref>). Due to decreased shoots per unit area and alleviated competition for resources between shoots (<xref ref-type="bibr" rid="B11">Guo and Schnurbusch, 2015</xref>).</p>
<p>Prior to this study, the greater root length density is an important root trait for the crop with high grain yield and higher NUE under N-limited conditions or at lower N rates (<xref ref-type="bibr" rid="B22">Ju et al., 2015</xref>). Our previous results indicated that the root length density at DW was greater at RW, especially in deep soil layers. This may also be the reason why the N accumulation at DW was greater at RW (<xref ref-type="bibr" rid="B41">Yang et al., 2021</xref>). AE<sub>N</sub> refers to the amount of yield increased per unit N fertilizer, reflecting the economic performance of N fertilizer in terms of grain production. Although the N accumulation at RW was lower than at DW, it can reach a similar yield level at DW. Therefore, RW has greater N use efficiency. Higher nitrogen accumulation level or NUE can achieve high yield.</p>
</sec>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>The effect of increasing nitrogen fertilizer on the yield at rice stubble wheat was greater, and the main reason for the increase was the increase in the number of kernels per spike. The nitrogen accumulation at rice stubble wheat was not as good as at DW, but it can reach the same yield level. The agronomic nitrogen efficiency and physiological use efficiency at rice stubble wheat were better than at DW. From the perspective of soil nitrogen levels, higher rainfall and higher field water holding capacity can easily lead to the loss of soil nitrogen at rice stubble wheat. Overall, based on the humid climatic conditions and different soil environmental characteristics of the Jianghan Plain, the nitrogen fertilizer application rates for both DW and rice stubble wheat should not exceed 180 kg ha<sup>&#x2013;1</sup>.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>RY and XW initiated and designed the research. RY and ZW performed the experiments. MH, MZ, KL, SF, and XW revised and edited the manuscript and also provided advice on the experiments. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="conf1" 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="pudiscl1" 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>
</body>
<back>
<sec id="S8" sec-type="funding-information">
<title>Funding</title>
<p>This study was funded by the National Science Foundation of China (Grant Number 31871578), the National Key Research &#x0026; Development Program of China during the 13th Five-year Period (Grant Number 2016YFD0300107), and Engineering Research Center of Ecology and Agricultural Use of Wetland (Grant Number KFT202102).</p>
</sec>
<ref-list>
<title>References</title>
<ref id="B1"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alcock</surname> <given-names>D. J.</given-names></name> <name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Rawnsley</surname> <given-names>R. P.</given-names></name> <name><surname>Eckard</surname> <given-names>R. J.</given-names></name></person-group> (<year>2015</year>). <article-title>Can animal genetics and flock management be used to reduce greenhouse gas emissions but also maintain productivity of wool-producing enterprises?</article-title> <source><italic>Agric. Syst.</italic></source> <volume>132</volume> <fpage>25</fpage>&#x2013;<lpage>34</lpage>. <pub-id pub-id-type="doi">10.1016/j.agsy.2014.06.007</pub-id></citation></ref>
<ref id="B2"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Armstrong</surname> <given-names>R. D.</given-names></name> <name><surname>Halpin</surname> <given-names>N. V.</given-names></name> <name><surname>Mccosker</surname> <given-names>K.</given-names></name> <name><surname>Standley</surname> <given-names>J.</given-names></name> <name><surname>Lisle</surname> <given-names>A. T.</given-names></name></person-group> (<year>1996</year>). <article-title>Applying nitrogen to grain sorghum in central Queensland: residual value and effect of fallowing and tillage practice.</article-title> <source><italic>Aust. J. Agric. Res.</italic></source> <volume>47</volume> <fpage>81</fpage>&#x2013;<lpage>95</lpage>.</citation></ref>
<ref id="B3"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bilotto</surname> <given-names>F.</given-names></name> <name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Migliorati</surname> <given-names>M. D. A.</given-names></name> <name><surname>Christie</surname> <given-names>K. M.</given-names></name> <name><surname>Rowlings</surname> <given-names>D. W.</given-names></name> <name><surname>Grace</surname> <given-names>P. R.</given-names></name><etal/></person-group> (<year>2021</year>). <article-title>Can seasonal soil N mineralisation trends be leveraged to enhance pasture growth?</article-title> <source><italic>Sci. Total Environ.</italic></source> <volume>772</volume>:<issue>145031</issue>. <pub-id pub-id-type="doi">10.1016/j.scitotenv.2021.145031</pub-id> <pub-id pub-id-type="pmid">33578140</pub-id></citation></ref>
<ref id="B4"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bu</surname> <given-names>R.</given-names></name> <name><surname>Ren</surname> <given-names>T.</given-names></name> <name><surname>Liao</surname> <given-names>S.</given-names></name> <name><surname>Li</surname> <given-names>X.</given-names></name> <name><surname>Cong</surname> <given-names>R.</given-names></name> <name><surname>Zhang</surname> <given-names>Y.</given-names></name><etal/></person-group> (<year>2019</year>). <article-title>Difference of soil nitrogen supply and rapeseed nitrogen uptake under different rotation systems and seasonal distribution of nitrogen fertilizer.</article-title> <source><italic>J. Plant Nutr. Fertilizers</italic></source> <volume>25</volume> <fpage>412</fpage>&#x2013;<lpage>420</lpage>.</citation></ref>
<ref id="B5"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cameron</surname> <given-names>K. C.</given-names></name> <name><surname>Di</surname> <given-names>H. J.</given-names></name> <name><surname>Moir</surname> <given-names>J. L.</given-names></name></person-group> (<year>2013</year>). <article-title>Nitrogen losses from the soil/plant system: a review.</article-title> <source><italic>Ann. Appl. Biol.</italic></source> <volume>162</volume> <fpage>145</fpage>&#x2013;<lpage>173</lpage>. <pub-id pub-id-type="doi">10.1111/j.1469-8137.2012.04300.x</pub-id> <pub-id pub-id-type="pmid">22963677</pub-id></citation></ref>
<ref id="B6"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chang-Fung-Martel</surname> <given-names>J.</given-names></name> <name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Rawnsley</surname> <given-names>R.</given-names></name> <name><surname>Smith</surname> <given-names>A. P.</given-names></name> <name><surname>Meinke</surname> <given-names>H.</given-names></name></person-group> (<year>2017</year>). <article-title>The impact of extreme climatic events on pasture-based dairy systems: a review.</article-title> <source><italic>Crop Pasture Sci.</italic></source> <volume>68</volume> <fpage>1158</fpage>&#x2013;<lpage>1169</lpage>. <pub-id pub-id-type="doi">10.1071/cp16394</pub-id></citation></ref>
<ref id="B7"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Christie</surname> <given-names>K. M.</given-names></name> <name><surname>Rawnsley</surname> <given-names>R. P.</given-names></name> <name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Eckard</surname> <given-names>R. J.</given-names></name></person-group> (<year>2014</year>). <article-title>Using a modelling approach to evaluate two options for improving animal nitrogen use efficiency and reducing nitrous oxide emissions on dairy farms in southern Australia.</article-title> <source><italic>Anim. Prod. Sci.</italic></source> <volume>54</volume> <fpage>1960</fpage>&#x2013;<lpage>1970</lpage>. <pub-id pub-id-type="doi">10.1071/an14436</pub-id></citation></ref>
<ref id="B8"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Christie</surname> <given-names>K. M.</given-names></name> <name><surname>Smith</surname> <given-names>A. P.</given-names></name> <name><surname>Rawnsley</surname> <given-names>R. P.</given-names></name> <name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Eckard</surname> <given-names>R. J.</given-names></name></person-group> (<year>2018</year>). <article-title>Simulated seasonal responses of grazed dairy pastures to nitrogen fertilizer in SE Australia: pasture production.</article-title> <source><italic>Agric. Syst.</italic></source> <volume>166</volume> <fpage>36</fpage>&#x2013;<lpage>47</lpage>. <pub-id pub-id-type="doi">10.1016/j.agsy.2018.07.010</pub-id></citation></ref>
<ref id="B9"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Christie</surname> <given-names>K. M.</given-names></name> <name><surname>Smith</surname> <given-names>A. P.</given-names></name> <name><surname>Rawnsley</surname> <given-names>R. P.</given-names></name> <name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Eckard</surname> <given-names>R. J.</given-names></name></person-group> (<year>2020</year>). <article-title>Simulated seasonal responses of grazed dairy pastures to nitrogen fertilizer in SE Australia: N loss and recovery.</article-title> <source><italic>Agric. Syst.</italic></source> <volume>182</volume>:<issue>102847</issue>. <pub-id pub-id-type="doi">10.1016/j.agsy.2020.102847</pub-id></citation></ref>
<ref id="B10"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fageria</surname> <given-names>N. K.</given-names></name> <name><surname>Baligar</surname> <given-names>V. C.</given-names></name></person-group> (<year>2005</year>). <article-title>&#x201C;Enhancing nitrogen use efficiency in crop plants.</article-title> <source><italic>Adv. Agron.</italic></source> <volume>88</volume> <fpage>97</fpage>&#x2013;<lpage>185</lpage>. <pub-id pub-id-type="doi">10.1016/s0065-2113(05)88004-6</pub-id></citation></ref>
<ref id="B11"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Guo</surname> <given-names>Z.</given-names></name> <name><surname>Schnurbusch</surname> <given-names>T.</given-names></name></person-group> (<year>2015</year>). <article-title>Variation of floret fertility in hexaploid wheat revealed by tiller removal.</article-title> <source><italic>J. Exp. Bot.</italic></source> <volume>66</volume> <fpage>5945</fpage>&#x2013;<lpage>5958</lpage>. <pub-id pub-id-type="doi">10.1093/jxb/erv303</pub-id> <pub-id pub-id-type="pmid">26157170</pub-id></citation></ref>
<ref id="B12"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Cullen</surname> <given-names>B. R.</given-names></name> <name><surname>Armstrong</surname> <given-names>D.</given-names></name></person-group> (<year>2017</year>). <article-title>Management options for dairy farms under climate change: effects of intensification, adaptation and simplification on pastures, milk production and profitability.</article-title> <source><italic>Agric. Syst.</italic></source> <volume>155</volume> <fpage>19</fpage>&#x2013;<lpage>32</lpage>. <pub-id pub-id-type="doi">10.1016/j.agsy.2017.04.003</pub-id></citation></ref>
<ref id="B13"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Cullen</surname> <given-names>B. R.</given-names></name> <name><surname>Tomkins</surname> <given-names>N. W.</given-names></name> <name><surname>McSweeney</surname> <given-names>C.</given-names></name> <name><surname>Cohn</surname> <given-names>P.</given-names></name> <name><surname>Eckard</surname> <given-names>R. J.</given-names></name></person-group> (<year>2016</year>). <article-title>The concordance between greenhouse gas emissions, livestock production and profitability of extensive beef farming systems.</article-title> <source><italic>Anim. Prod. Sci.</italic></source> <volume>56</volume> <fpage>370</fpage>&#x2013;<lpage>384</lpage>.</citation></ref>
<ref id="B14"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Edwards</surname> <given-names>E. J.</given-names></name> <name><surname>Farquhar</surname> <given-names>G. D.</given-names></name> <name><surname>Nicotra</surname> <given-names>A. B.</given-names></name> <name><surname>Evans</surname> <given-names>J. R.</given-names></name></person-group> (<year>2009</year>). <article-title>Nitrogen in cell walls of sclerophyllous leaves accounts for little of the variation in photosynthetic nitrogen-use efficiency.</article-title> <source><italic>Plant Cell Environ.</italic></source> <volume>32</volume> <fpage>259</fpage>&#x2013;<lpage>270</lpage>. <pub-id pub-id-type="doi">10.1111/j.1365-3040.2008.01918.x</pub-id> <pub-id pub-id-type="pmid">19054350</pub-id></citation></ref>
<ref id="B15"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Evans</surname> <given-names>J. R.</given-names></name> <name><surname>Moore</surname> <given-names>A. D.</given-names></name></person-group> (<year>2012a</year>). <article-title>Using a mathematical framework to examine physiological changes in winter wheat after livestock grazing: 1. model derivation and coefficient calibration.</article-title> <source><italic>Field Crops Res.</italic></source> <volume>136</volume> <fpage>116</fpage>&#x2013;<lpage>126</lpage>. <pub-id pub-id-type="doi">10.1016/j.fcr.2012.06.015</pub-id></citation></ref>
<ref id="B16"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Evans</surname> <given-names>J. R.</given-names></name> <name><surname>Moore</surname> <given-names>A. D.</given-names></name></person-group> (<year>2012b</year>). <article-title>Using a mathematical framework to examine physiological changes in winter wheat after livestock grazing: 2. model validation and effects of grazing management.</article-title> <source><italic>Field Crops Res.</italic></source> <volume>136</volume> <fpage>127</fpage>&#x2013;<lpage>137</lpage>.</citation></ref>
<ref id="B17"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Evans</surname> <given-names>J. R.</given-names></name> <name><surname>Dove</surname> <given-names>H.</given-names></name> <name><surname>Moore</surname> <given-names>A. D.</given-names></name></person-group> (<year>2011</year>). <article-title>Recovery dynamics of rainfed winter wheat after livestock grazing 2. Light interception, radiation-use efficiency and dry-matter partitioning.</article-title> <source><italic>Crop Pasture Sci.</italic></source> <volume>62</volume> <fpage>960</fpage>&#x2013;<lpage>971</lpage>.</citation></ref>
<ref id="B18"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Jackson</surname> <given-names>T.</given-names></name> <name><surname>Cullen</surname> <given-names>B. R.</given-names></name> <name><surname>Rawnsley</surname> <given-names>R. P.</given-names></name> <name><surname>Ho</surname> <given-names>C.</given-names></name> <name><surname>Cummins</surname> <given-names>L.</given-names></name><etal/></person-group> (<year>2014</year>). <article-title>Increasing ewe genetic fecundity improves whole-farm production and reduces greenhouse gas emissions intensities: 1. sheep production and emissions intensities.</article-title> <source><italic>Agric. Syst.</italic></source> <volume>131</volume> <fpage>23</fpage>&#x2013;<lpage>33</lpage>.</citation></ref>
<ref id="B19"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hess</surname> <given-names>L. J. T.</given-names></name> <name><surname>Hinckley</surname> <given-names>E.-L. S.</given-names></name> <name><surname>Robertson</surname> <given-names>G. P.</given-names></name> <name><surname>Matson</surname> <given-names>P. A.</given-names></name></person-group> (<year>2020</year>). <article-title>Rainfall intensification increases nitrate leaching from tilled but not no-till cropping systems in the U.S. Midwest.</article-title> <source><italic>Agric. Ecosyst. Environ.</italic></source> <volume>290</volume>:<issue>106747</issue>. <pub-id pub-id-type="doi">10.1016/j.agee.2019.106747</pub-id></citation></ref>
<ref id="B20"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ho</surname> <given-names>C. K. M.</given-names></name> <name><surname>Jackson</surname> <given-names>T.</given-names></name> <name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Eckard</surname> <given-names>R. J.</given-names></name></person-group> (<year>2014</year>). <article-title>Increasing ewe genetic fecundity improves whole-farm production and reduces greenhouse gas emissions intensities: 2. economic performance.</article-title> <source><italic>Anim. Prod. Sci.</italic></source> <volume>54</volume> <fpage>1248</fpage>&#x2013;<lpage>1253</lpage>.</citation></ref>
<ref id="B21"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ibrahim</surname> <given-names>A.</given-names></name> <name><surname>Harrison</surname> <given-names>M.</given-names></name> <name><surname>Meinke</surname> <given-names>H.</given-names></name> <name><surname>Fan</surname> <given-names>Y.</given-names></name> <name><surname>Johnson</surname> <given-names>P.</given-names></name> <name><surname>Zhou</surname> <given-names>M.</given-names></name></person-group> (<year>2018</year>). <article-title>A regulator of early flowering in barley (<italic>Hordeum vulgare</italic> L.).</article-title> <source><italic>PLoS One</italic></source> <volume>13</volume>:<issue>e0200722</issue>. <pub-id pub-id-type="doi">10.1371/journal.pone.0200722</pub-id> <pub-id pub-id-type="pmid">30016338</pub-id></citation></ref>
<ref id="B22"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ju</surname> <given-names>C.</given-names></name> <name><surname>Buresh</surname> <given-names>R. J.</given-names></name> <name><surname>Wang</surname> <given-names>Z.</given-names></name> <name><surname>Zhang</surname> <given-names>H.</given-names></name> <name><surname>Liu</surname> <given-names>L.</given-names></name> <name><surname>Yang</surname> <given-names>J.</given-names></name><etal/></person-group> (<year>2015</year>). <article-title>Root and shoot traits for rice varieties with higher grain yield and higher nitrogen use efficiency at lower nitrogen rates application.</article-title> <source><italic>Field Crops Res.</italic></source> <volume>175</volume> <fpage>47</fpage>&#x2013;<lpage>55</lpage>. <pub-id pub-id-type="doi">10.7717/peerj.7294</pub-id> <pub-id pub-id-type="pmid">31341742</pub-id></citation></ref>
<ref id="B23"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kodzwa</surname> <given-names>J. J.</given-names></name> <name><surname>Gotosa</surname> <given-names>J.</given-names></name> <name><surname>Nyamangara</surname> <given-names>J.</given-names></name></person-group> (<year>2020</year>). <article-title>Mulching is the most important of the three conservation agriculture principles in increasing crop yield in the short term, under sub humid tropical conditions in Zimbabwe</article-title>. <source><italic>Soil and Tillage Res.</italic></source> <volume>197</volume>, <fpage>104515</fpage>. <pub-id pub-id-type="doi">10.1016/j.still.2019.104515</pub-id></citation></ref>
<ref id="B24"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>W.</given-names></name> <name><surname>Shao</surname> <given-names>D.</given-names></name> <name><surname>Gu</surname> <given-names>W.</given-names></name> <name><surname>Miao</surname> <given-names>D.</given-names></name></person-group> (<year>2021</year>). <article-title>Regional agroclimate characteristic and its multiple teleconnections: a case study in the Jianghan Plain (JHP) Region.</article-title> <source><italic>Water</italic></source> <volume>13</volume>:2789.</citation></ref>
<ref id="B25"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>K.</given-names></name> <name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Hunt</surname> <given-names>J.</given-names></name> <name><surname>Angessa</surname> <given-names>T. T.</given-names></name> <name><surname>Meinke</surname> <given-names>H.</given-names></name> <name><surname>Li</surname> <given-names>C.</given-names></name><etal/></person-group> (<year>2020</year>). <article-title>Identifying optimal sowing and flowering periods for barley in Australia: a modelling approach.</article-title> <source><italic>Agric. For. Meteorol.</italic></source> <volume>282</volume>:<issue>107871</issue>. <pub-id pub-id-type="doi">10.1016/j.agrformet.2019.107871</pub-id></citation></ref>
<ref id="B26"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nawaz</surname> <given-names>A.</given-names></name> <name><surname>Farooq</surname> <given-names>M.</given-names></name> <name><surname>Ahmad</surname> <given-names>R.</given-names></name> <name><surname>Basra</surname> <given-names>S. M. A.</given-names></name> <name><surname>Lal</surname> <given-names>R.</given-names></name></person-group> (<year>2016</year>). <article-title>Seed priming improves stand establishment and productivity of no till wheat grown after direct seeded aerobic and transplanted flooded rice.</article-title> <source><italic>Eur. J. Agron.</italic></source> <volume>76</volume> <fpage>130</fpage>&#x2013;<lpage>137</lpage>. <pub-id pub-id-type="doi">10.1016/j.eja.2016.02.012</pub-id></citation></ref>
<ref id="B27"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ney</surname> <given-names>B.</given-names></name> <name><surname>Dor&#x00E9;</surname> <given-names>T.</given-names></name> <name><surname>Sagan</surname> <given-names>M.</given-names></name></person-group> (<year>1997</year>). &#x201C;<article-title>The nitrogen requirement of major agricultural crops: Grain Legumes</article-title>,&#x201D; in <source><italic>Diagnosis of the Nitrogen Status in Crops</italic></source>, <role>ed.</role> <person-group person-group-type="editor"><name><surname>Lemaire</surname> <given-names>G.</given-names></name></person-group> (<publisher-loc>Berlin</publisher-loc>: <publisher-name>Springer</publisher-name>), <fpage>107</fpage>&#x2013;<lpage>118</lpage>. <pub-id pub-id-type="doi">10.1007/978-3-642-60684-7_6</pub-id></citation></ref>
<ref id="B28"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rawnsley</surname> <given-names>R. P.</given-names></name> <name><surname>Smith</surname> <given-names>A. P.</given-names></name> <name><surname>Christie</surname> <given-names>K. M.</given-names></name> <name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Eckard</surname> <given-names>R. J.</given-names></name></person-group> (<year>2019</year>). <article-title>Current and future direction of nitrogen fertiliser use in Australian grazing systems.</article-title> <source><italic>Crop Pasture Sci.</italic></source> <volume>70</volume> <fpage>1034</fpage>&#x2013;<lpage>1043</lpage>. <pub-id pub-id-type="doi">10.1071/cp18566</pub-id></citation></ref>
<ref id="B29"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ren</surname> <given-names>T.</given-names></name> <name><surname>Bu</surname> <given-names>R.</given-names></name> <name><surname>Liao</surname> <given-names>S.</given-names></name> <name><surname>Zhang</surname> <given-names>M.</given-names></name> <name><surname>Li</surname> <given-names>X.</given-names></name> <name><surname>Cong</surname> <given-names>R.</given-names></name><etal/></person-group> (<year>2019</year>). <article-title>Differences in soil nitrogen transformation and the related seed yield of winter oilseed rape (<italic>Brassica napus</italic> L.) under paddy-upland and continuous upland rotations.</article-title> <source><italic>Soil Tillage Res.</italic></source> <volume>192</volume> <fpage>206</fpage>&#x2013;<lpage>214</lpage>.</citation></ref>
<ref id="B30"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schimel</surname> <given-names>D. S.</given-names></name> <name><surname>Parton</surname> <given-names>W. J.</given-names></name></person-group> (<year>1986</year>). <article-title>Microclimatic controls of nitrogen mineralization and nitrification in shortgrass steppe soils.</article-title> <source><italic>Plant Soil</italic></source> <volume>93</volume> <fpage>347</fpage>&#x2013;<lpage>357</lpage>. <pub-id pub-id-type="doi">10.1007/bf02374285</pub-id></citation></ref>
<ref id="B31"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shah</surname> <given-names>A. N.</given-names></name> <name><surname>Iqbal</surname> <given-names>J.</given-names></name> <name><surname>Tanveer</surname> <given-names>M.</given-names></name> <name><surname>Yang</surname> <given-names>G.</given-names></name> <name><surname>Hassan</surname> <given-names>W.</given-names></name> <name><surname>Fahad</surname> <given-names>S.</given-names></name></person-group> (<year>2017</year>). <article-title>Nitrogen fertilization and conservation tillage: a review on growth, yield, and greenhouse gas emissions in cotton.</article-title> <source><italic>Environ. Sci. Pollut. Res.</italic></source> <volume>24</volume> <fpage>2261</fpage>&#x2013;<lpage>2272</lpage>. <pub-id pub-id-type="doi">10.1007/s11356-016-7894-4</pub-id> <pub-id pub-id-type="pmid">27796993</pub-id></citation></ref>
<ref id="B32"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shah</surname> <given-names>A. N.</given-names></name> <name><surname>Wu</surname> <given-names>Y.</given-names></name> <name><surname>Iqbal</surname> <given-names>J.</given-names></name> <name><surname>Tanveer</surname> <given-names>M.</given-names></name> <name><surname>Bashir</surname> <given-names>S.</given-names></name> <name><surname>Rahman</surname> <given-names>S. U.</given-names></name></person-group> (<year>2021a</year>). <article-title>Nitrogen and plant density effects on growth, yield performance of two different cotton cultivars from different origin.</article-title> <source><italic>J. King Saud Univers. Sci.</italic></source> <volume>33</volume>:<issue>101512</issue>. <pub-id pub-id-type="doi">10.1016/j.jksus.2021.101512</pub-id></citation></ref>
<ref id="B33"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shah</surname> <given-names>A. N.</given-names></name> <name><surname>Wu</surname> <given-names>Y.</given-names></name> <name><surname>Tanveer</surname> <given-names>M.</given-names></name> <name><surname>Hafeez</surname> <given-names>A.</given-names></name> <name><surname>Tung</surname> <given-names>S. A.</given-names></name> <name><surname>Ali</surname> <given-names>S.</given-names></name></person-group> (<year>2021b</year>). <article-title>Interactive effect of nitrogen fertilizer and plant density on photosynthetic and agronomical traits of cotton at different growth stages.</article-title> <source><italic>Saudi J. Biol. Sci.</italic></source> <volume>28</volume> <fpage>3578</fpage>&#x2013;<lpage>3584</lpage>. <pub-id pub-id-type="doi">10.1016/j.sjbs.2021.03.034</pub-id> <pub-id pub-id-type="pmid">34121901</pub-id></citation></ref>
<ref id="B34"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Smith</surname> <given-names>A. P.</given-names></name> <name><surname>Christie</surname> <given-names>K. M.</given-names></name> <name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Eckard</surname> <given-names>R. J.</given-names></name></person-group> (<year>2021</year>). <article-title>Ammonia volatilisation from grazed, pasture based dairy farming systems.</article-title> <source><italic>Agric. Syst.</italic></source> <volume>190</volume>:<issue>103119</issue>.</citation></ref>
<ref id="B35"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sugita</surname> <given-names>F.</given-names></name> <name><surname>Nakane</surname> <given-names>K.</given-names></name></person-group> (<year>2007</year>). <article-title>Combined effects of rainfall patterns and porous media properties on nitrate leaching.</article-title> <source><italic>Vadose Zone J.</italic></source> <volume>6</volume> <fpage>548</fpage>&#x2013;<lpage>553</lpage>. <pub-id pub-id-type="doi">10.2136/vzj2006.0095</pub-id></citation></ref>
<ref id="B36"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Turmel</surname> <given-names>M. S.</given-names></name> <name><surname>Speratti</surname> <given-names>A.</given-names></name> <name><surname>Baudron</surname> <given-names>F.</given-names></name> <name><surname>Verhulst</surname> <given-names>N.</given-names></name> <name><surname>Govaerts</surname> <given-names>B.</given-names></name></person-group> (<year>2015</year>). <article-title>Crop residue management and soil health: a systems analysis.</article-title> <source><italic>Agric. Syst.</italic></source> <volume>134</volume> <fpage>6</fpage>&#x2013;<lpage>16</lpage>.</citation></ref>
<ref id="B37"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Voisin</surname> <given-names>A. S.</given-names></name> <name><surname>Salon</surname> <given-names>C.</given-names></name> <name><surname>Munier-Jolain</surname> <given-names>N. G.</given-names></name> <name><surname>Ney</surname> <given-names>B.</given-names></name></person-group> (<year>2002</year>). <article-title>Effect of mineral nitrogen on nitrogen nutrition and biomass partitioning between the shoot and roots of pea (<italic>Pisum sativum</italic> L.).</article-title> <source><italic>Plant Soil</italic></source> <volume>242</volume> <fpage>251</fpage>&#x2013;<lpage>262</lpage>.</citation></ref>
<ref id="B38"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>N.</given-names></name> <name><surname>Li</surname> <given-names>L.</given-names></name> <name><surname>Dannenmann</surname> <given-names>M.</given-names></name> <name><surname>Luo</surname> <given-names>Y.</given-names></name> <name><surname>Xu</surname> <given-names>X.</given-names></name> <name><surname>Zhang</surname> <given-names>B.</given-names></name><etal/></person-group> (<year>2021</year>). <article-title>Seasonality of gross ammonification and nitrification altered by precipitation in a semi-arid grassland of Northern China.</article-title> <source><italic>Soil Biol. Biochem.</italic></source> <volume>154</volume>:<issue>108146</issue>. <pub-id pub-id-type="doi">10.1016/j.soilbio.2021.108146</pub-id></citation></ref>
<ref id="B39"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>X.</given-names></name> <name><surname>Gao</surname> <given-names>C.</given-names></name> <name><surname>Lu</surname> <given-names>B.</given-names></name> <name><surname>Su</surname> <given-names>R.</given-names></name></person-group> (<year>2013</year>). <article-title>Characteristics of rainfall before anthesis and corresponding effects of waterlogging on grain yield in Jianghan plain.</article-title> <source><italic>Resour. Environ. Yangtze Basin</italic></source> <volume>22</volume> <fpage>1642</fpage>&#x2013;<lpage>1647</lpage>.</citation></ref>
<ref id="B40"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yan</surname> <given-names>H.</given-names></name> <name><surname>Harrison</surname> <given-names>M. T.</given-names></name> <name><surname>Liu</surname> <given-names>K.</given-names></name> <name><surname>Wang</surname> <given-names>B.</given-names></name> <name><surname>Feng</surname> <given-names>P.</given-names></name> <name><surname>Fahad</surname> <given-names>S.</given-names></name></person-group> (<year>2022</year>). <article-title>Crop traits enabling yield gains under more frequent extreme climatic events.</article-title> <source><italic>Sci. Total Environ.</italic></source> <volume>808</volume>:<issue>152170</issue>. <pub-id pub-id-type="doi">10.1016/j.scitotenv.2021.152170</pub-id> <pub-id pub-id-type="pmid">34875326</pub-id></citation></ref>
<ref id="B41"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname> <given-names>R.</given-names></name> <name><surname>Liu</surname> <given-names>K.</given-names></name> <name><surname>Geng</surname> <given-names>S.</given-names></name> <name><surname>Zhang</surname> <given-names>C.</given-names></name> <name><surname>Yin</surname> <given-names>L.</given-names></name> <name><surname>Wang</surname> <given-names>X.</given-names></name></person-group> (<year>2021</year>). <article-title>Comparison of early season crop types for wheat production and nitrogen use efficiency in the Jianghan plain in China.</article-title> <source><italic>PeerJ</italic></source> <volume>9</volume>:<issue>e11189</issue>. <pub-id pub-id-type="doi">10.7717/peerj.11189</pub-id> <pub-id pub-id-type="pmid">33889445</pub-id></citation></ref>
<ref id="B42"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname> <given-names>Y.</given-names></name> <name><surname>Zhang</surname> <given-names>H.</given-names></name> <name><surname>Shan</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>J.</given-names></name> <name><surname>Qian</surname> <given-names>X.</given-names></name> <name><surname>Meng</surname> <given-names>T.</given-names></name><etal/></person-group> (<year>2019</year>). <article-title>Response of denitrification in paddy soils with different nitrification rates to soil moisture and glucose addition.</article-title> <source><italic>Sci. Total Environ.</italic></source> <volume>651</volume> <fpage>2097</fpage>&#x2013;<lpage>2104</lpage>. <pub-id pub-id-type="doi">10.1016/j.scitotenv.2018.10.066</pub-id> <pub-id pub-id-type="pmid">30321731</pub-id></citation></ref>
<ref id="B43"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yin</surname> <given-names>L.</given-names></name> <name><surname>Dai</surname> <given-names>X.</given-names></name> <name><surname>He</surname> <given-names>M.</given-names></name></person-group> (<year>2018</year>). <article-title>Delayed sowing improves nitrogen utilization efficiency in winter wheat without impacting yield.</article-title> <source><italic>Field Crops Res.</italic></source> <volume>221</volume> <fpage>90</fpage>&#x2013;<lpage>97</lpage>. <pub-id pub-id-type="doi">10.1002/jsfa.11775</pub-id> <pub-id pub-id-type="pmid">35023570</pub-id></citation></ref>
<ref id="B44"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yoo</surname> <given-names>C.</given-names></name> <name><surname>Vald&#x00E9;s</surname> <given-names>J. B.</given-names></name> <name><surname>North</surname> <given-names>G. R.</given-names></name></person-group> (<year>1998</year>). <article-title>Evaluation of the impact of rainfall on soil moisture variability.</article-title> <source><italic>Adv. Water Resour.</italic></source> <volume>21</volume> <fpage>375</fpage>&#x2013;<lpage>384</lpage>.</citation></ref>
<ref id="B45"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yousaf</surname> <given-names>M.</given-names></name> <name><surname>Li</surname> <given-names>X.</given-names></name> <name><surname>Zhang</surname> <given-names>Z.</given-names></name> <name><surname>Ren</surname> <given-names>T.</given-names></name> <name><surname>Cong</surname> <given-names>R.</given-names></name> <name><surname>Ata-Ul-Karim</surname> <given-names>S. T.</given-names></name><etal/></person-group> (<year>2016</year>). <article-title>Nitrogen fertilizer management for enhancing crop productivity and nitrogen use efficiency in a rice-oilseed rape rotation system in China.</article-title> <source><italic>Front. Plant Sci.</italic></source> <volume>7</volume>:<issue>1496</issue>. <pub-id pub-id-type="doi">10.3389/fpls.2016.01496</pub-id> <pub-id pub-id-type="pmid">27746809</pub-id></citation></ref>
<ref id="B46"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname> <given-names>X.</given-names></name> <name><surname>Zhou</surname> <given-names>Y.</given-names></name> <name><surname>Min</surname> <given-names>J.</given-names></name> <name><surname>Wang</surname> <given-names>S.</given-names></name> <name><surname>Shi</surname> <given-names>W.</given-names></name> <name><surname>Xing</surname> <given-names>G.</given-names></name></person-group> (<year>2012</year>). <article-title>Nitrogen runoff dominates water nitrogen pollution from rice-wheat rotation in the Taihu Lake region of China.</article-title> <source><italic>Agric. Ecosyst. Environ.</italic></source> <volume>156</volume> <fpage>1</fpage>&#x2013;<lpage>11</lpage>.</citation></ref>
<ref id="B47"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>L.</given-names></name> <name><surname>Lei</surname> <given-names>X.</given-names></name> <name><surname>Wang</surname> <given-names>B.</given-names></name> <name><surname>Cui</surname> <given-names>J.</given-names></name> <name><surname>Xu</surname> <given-names>Y.</given-names></name><etal/></person-group> (<year>2021</year>). <article-title>Reducing carbon footprint without compromising grain security through relaxing cropping rotation system in the North China Plain.</article-title> <source><italic>J. Clean. Prod.</italic></source> <volume>318</volume>:<issue>128465</issue>. <pub-id pub-id-type="doi">10.1016/j.jclepro.2021.128465</pub-id></citation></ref>
</ref-list>
</back>
</article>