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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2022.851386</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Glutamate Supplementation Improves Growth Performance, Rumen Fermentation, and Serum Metabolites in Heat-Stressed Hu Sheep</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Chuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1626606/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Jiantong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Yanjiao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1107851/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhao</surname> <given-names>Xianghui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/568312/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liang</surname> <given-names>Huan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1277796/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Kairong</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Qu</surname> <given-names>Mingren</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1366850/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Qiu</surname> <given-names>Qinghua</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1343752/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ouyang</surname> <given-names>Kehui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Jiangxi Province Key Laboratory of Animal Nutrition, Animal Nutrition and Feed Safety Innovation Team, College of Animal Science and Technology, Jiangxi Agricultural University</institution>, <addr-line>Nanchang</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Ganzhou Lvlinwan Agriculture and Animal Husbandry Co. Ltd.</institution>, <addr-line>Ganzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Shourong Shi, Poultry Institute (CAAS), China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Min Wang, Institute of Subtropical Agriculture (CAS), China; Marcin Barszcz, Department of Animal Nutrition, The Kielanowski Institute of Animal Physiology and Nutrition (PAN), Poland; Mengzhi Wang, Yangzhou University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Qinghua Qiu, <email>rcauqqh@cau.edu.cn</email></corresp>
<corresp id="c002">Kehui Ouyang, <email>ouyangkehui@sina.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Nutrition and Metabolism, a section of the journal Frontiers in Nutrition</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>851386</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Li, Zhang, Li, Zhao, Liang, Li, Qu, Qiu and Ouyang.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Li, Zhang, Li, Zhao, Liang, Li, Qu, Qiu and Ouyang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>This study evaluated the effect of glutamate supplementation on the physiological parameters of heat-stressed Hu sheep. Forty-eight male Hu sheep with an average initial body weight of 17.74 &#x00B1; 0.17 kg were randomly divided into two groups: The control group (CON) was fed a basal diet and a treatment group (GLU) was fed a basal diet + 3 g/head/day of L-glutamate. There were six replications in each group with four sheep in each replication for a 90 days feeding test. Growth performance, serum biochemistry, and serum hormones were measured during phase 1 (1&#x2013;30 days), phase 2 (31&#x2013;60 days), and phase 3 (61&#x2013;90 days) of the experiment; rumen fermentation characteristics, nutrient digestibility, and slaughter performance were measured at the end of the experimental periods. There were no differences in growth performance, serum biochemical indices, and immune indices between CON and GLU during phases 1 and 2. However, a higher average daily gain (ADG), a lower average daily feed intake (ADFI), and a lower F:G ratio (ADFI/ADG) were observed in GLU during phase 3 (<italic>p</italic> &#x003C; 0.05). Serum levels of glutamate, globulin, immunoglobulin A, immunoglobulin G, immunoglobulin M, and growth hormone in GLU were higher than those in CON only on day 90 (<italic>p</italic> &#x003C; 0.05). Serum levels of heat shock protein 70, adrenocorticotrophic hormone, corticosterone, triiodothyronine, and tetraiodothyronine in GLU were lower than those in CON on day 90 (<italic>p</italic> &#x003C; 0.05). At the end of the experiment, ruminal pH, microbial crude protein, ammonia nitrogen, and isovalerate concentrations in GLU were higher than those in CON (<italic>p &#x003C;</italic> 0.05). The apparent digestibility of dry matter, organic matter, and crude protein in GLU was higher than those in CON (<italic>p &#x003C;</italic> 0.05). There were no differences in carcass traits and organ indices but spleen weight and spleen index tended to be higher in GLU. In conclusion, dietary glutamate supplementation improved rumen fermentation, increased nutrition digestibility and metabolism, enhanced immunity, and promoted growth performance of heat-stressed Hu sheep. This suggests that a longer period of glutamate supplementation (not less than 60 days) at a level of 3 g/head/day is beneficial to Hu sheep under heat stress.</p>
</abstract>
<kwd-group>
<kwd>glutamate</kwd>
<kwd>growth performance</kwd>
<kwd>immunity</kwd>
<kwd>rumen fermentation</kwd>
<kwd>serum metabolites</kwd>
<kwd>heat stress</kwd>
<kwd>Hu sheep</kwd>
</kwd-group>
<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">Key Science and Technology Research Project in Jiangxi Province Department of Education<named-content content-type="fundref-id">10.13039/501100019037</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="8"/>
<equation-count count="2"/>
<ref-count count="63"/>
<page-count count="9"/>
<word-count count="7572"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Hu sheep, commonly farmed in southern China, are renowned for their high fecundity and early sexual maturity (<xref ref-type="bibr" rid="B1">1</xref>). Heat stress decreases livestock productivity and fertility, and increases the disease susceptibility and mortality (<xref ref-type="bibr" rid="B2">2</xref>), making it one of the most difficult challenges in Hu sheep management in southern China. Heat stress inhibits protein synthesis and increases protein hydrolysis in animals (<xref ref-type="bibr" rid="B3">3</xref>). Degraded muscle protein supplies energy by providing amino acid (AA) substrates delivered to the liver in a process called gluconeogenesis (<xref ref-type="bibr" rid="B4">4</xref>). Heat stress decreases the plasma AA content (<xref ref-type="bibr" rid="B5">5</xref>) and increases the loss of endogenous intestinal proteins and AAs (<xref ref-type="bibr" rid="B6">6</xref>). Therefore, AA supplementation may be a beneficial approach to relieve heat stress in animals.</p>
<p>Glutamate is a functional AA. As the central hub of AA nitrogen exchange, it promotes the synthesis and degradation of proteins (<xref ref-type="bibr" rid="B7">7</xref>) and participates in cellular signal transduction, gene expression regulation, and metabolic cascades (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Glutamate enhances the intestinal and immune function of suckling and weaned piglets (<xref ref-type="bibr" rid="B10">10</xref>), and improves the productivity of pubertal rams and nulliparous ewes (<xref ref-type="bibr" rid="B11">11</xref>). However, the function of glutamate may be related to the physiological conditions and dosage of the supplement (<xref ref-type="bibr" rid="B10">10</xref>). A previous study has shown that glutamate is beneficial for enhancing the thermodynamic stability of protein ribonuclease A and &#x03B1;-lactalbumin for resisting temperature stress (<xref ref-type="bibr" rid="B12">12</xref>). Glutamate requirements are increased in heat-stressed broilers, therefore, supplementation of glutamate or its decarboxylated products (&#x03B3;-GABA) can improve the intestinal morphology and survivability of broilers under heat stress (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Generally, AAs can be synthesized by rumen microorganisms and the supplementation of AAs to ruminants is unnecessary. However, under heat stress, the absorption and utilization of AAs are altered in ruminants, resulting in their reduced availability (<xref ref-type="bibr" rid="B15">15</xref>). In ruminants, glutamate may help to stimulate the rumen microbial growth <italic>in vitro</italic>, whereas deficiency of glutamate reduces the rumen microbial growth and efficiency (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Further, glutamate plays a vital role in generating &#x03B1;-ketoglutarate in the tricarboxylic acid cycle of rumen epithelial and duodenal mucosal cells in beef cattle (<xref ref-type="bibr" rid="B18">18</xref>). Glutamate may relieve heat-stress-induced intestinal epithelial cell damage in dairy cattle (<xref ref-type="bibr" rid="B19">19</xref>). However, little research has focused on the application effect of glutamate supplementation on ruminants, especially on sheep under heat stress.</p>
<p>We hypothesized that glutamate mitigates heat stress and improves the growth performance in Hu sheep under heat stress. The anti-heat stress effects of dietary glutamate supplementation on growth performance, nutrient digestibility, rumen fermentation characteristics, serum metabolites, and slaughter performance of heat-stressed Hu sheep were investigated, aiming to evaluate the application effect and mechanism of glutamate in the production of Hu sheep under heat stress.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Animals and Experimental Design</title>
<p>A total of forty-eight male Hu sheep with an average initial body weight of 17.74 &#x00B1; 0.17 kg were randomly separated into a control group and a treatment group. The control group (CON) was fed a basal diet and the treatment group (GLU) was fed a basal diet + 3 g/head/d of L-glutamate. The L-glutamate was purchased from Shanghai Yuanye Biological Co. (Shanghai, China) and had a purity of 99%. The supplementation dosage of L-glutamate was estimated according to an <italic>in vitro</italic> pilot experiment (unpublished). The basal diet (<xref ref-type="table" rid="T1">Table 1</xref>) consisted of a complete mixed diet with a concentrate to forage ratio of 7:3 designed to meet the Chinese Feeding Standard of Sheep (NY/T816-2004) requirements for growing-sheep. Each treatment group contained twenty-four sheep divided into six replicates of four sheep.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Composition and nutrient levels of experiment basal diets (air-dry basis, %)<sup>a</sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left" colspan="2">Ingredients</td>
<td valign="top" align="center" colspan="2">Chemical composition</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Peanut straw, %</td>
<td valign="top" align="center">30.00</td>
<td valign="top" align="center">DM, %</td>
<td valign="top" align="center">93.74</td>
</tr>
<tr>
<td valign="top" align="left">Corn, %</td>
<td valign="top" align="center">49.38</td>
<td valign="top" align="center">OM, %</td>
<td valign="top" align="center">86.05</td>
</tr>
<tr>
<td valign="top" align="left">Wheat bran, %</td>
<td valign="top" align="center">1.82</td>
<td valign="top" align="center">ME<xref ref-type="table-fn" rid="t1fnc"><sup>c</sup></xref>, (MJ/kg)</td>
<td valign="top" align="center">10.84</td>
</tr>
<tr>
<td valign="top" align="left">Soybean meal, %</td>
<td valign="top" align="center">14.40</td>
<td valign="top" align="center">CP, %</td>
<td valign="top" align="center">14.66</td>
</tr>
<tr>
<td valign="top" align="left">CaHPO<sub>4</sub>, %</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">NDF, %</td>
<td valign="top" align="center">25.97</td>
</tr>
<tr>
<td valign="top" align="left">NaHCO<sub>3</sub>, %</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">ADF, %</td>
<td valign="top" align="center">14.69</td>
</tr>
<tr>
<td valign="top" align="left">NaCl, %</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">SCHO<xref ref-type="table-fn" rid="t1fnd"><sup>d</sup></xref>, %</td>
<td valign="top" align="center">41.35</td>
</tr>
<tr>
<td valign="top" align="left">Premix<xref ref-type="table-fn" rid="t1fnb"><sup>b</sup></xref>, %</td>
<td valign="top" align="center">3.50</td>
<td valign="top" align="center">Ash, %</td>
<td valign="top" align="center">7.69</td>
</tr>
<tr>
<td valign="top" align="left">Total, %</td>
<td valign="top" align="center">100.00</td>
<td valign="top" align="center">Ca, %</td>
<td valign="top" align="center">0.50</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">P, %</td>
<td valign="top" align="center">0.29</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fna"><p><italic><sup>a</sup>DM, dry matter; OM, organic matter; ME, metabolizable energy; CP, crude protein; EE, ether extract; NDF, neutral detergent fiber; ADF, acid detergent fiber; SCHO, soluble carbohydrates; Ca, calcium; P, phosphorus.</italic></p></fn>
<fn id="t1fnb"><p><italic><sup>b</sup>Premix provided for 1 kg of complete diet: Cu as copper sulfate, 250 mg; Fe as iron sulfate, 1,400 mg; Zn as zinc oxide, 1,200 mg; Mn as manganese oxide, 900 mg; vitamin D3, 27 000 IU; vitamin A, 100,000 IU; vitamin E, 800 IU.</italic></p></fn>
<fn id="t1fnc"><p><italic><sup>c</sup>ME was a calculated value.</italic></p></fn>
<fn id="t1fnd"><p><italic><sup>d</sup>Calculated from analyzed nutrient values as 100 &#x2212; (CP + EE + Ash + NDF).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>The trial lasted for 90 days from 1 June to 29 August 2021. Animals were fed twice a day (8:00 and 17:00 h) with free access to water and feed. The feed intake of each replicate was recorded daily, and the body weight of sheep was recorded after fasting for 12 h on days 0, 30, 60, and 90. The feed efficiency was calculated using the F:G ratio based on the average daily feed intake (ADFI) and average daily gain (ADG).</p>
</sec>
<sec id="S2.SS2">
<title>Determination of Temperature and Humidity Index</title>
<p>Temperature and humidity were recorded by an Apresys<sup>&#x00AE;</sup> instrument (179-TH, Apresys International Inc., San Ramon, CA, United States), and the temperature and humidity index (<italic>THI</italic>) was calculated according to NRC (1971) (<xref ref-type="bibr" rid="B20">20</xref>) as follows:</p>
<disp-formula id="S2.Ex2">
<mml:math id="M1">
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<mml:mo>&#x2062;</mml:mo>
<mml:mi>I</mml:mi>
</mml:mrow>
<mml:mo>=</mml:mo>
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<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mrow>
<mml:mn>1.8</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>T</mml:mi>
</mml:mrow>
<mml:mo>+</mml:mo>
<mml:mn>32</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>-</mml:mo>
<mml:mrow>
<mml:mo>[</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn>0.55</mml:mn>
<mml:mo>-</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mn>0.0055</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>R</mml:mi>
</mml:mrow>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>H</mml:mi>
</mml:mrow>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x00D7;</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mn>1.8</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>T</mml:mi>
</mml:mrow>
<mml:mo>-</mml:mo>
<mml:mn>26.8</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo>]</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mrow>
<mml:mo>,</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <italic>AT</italic> is air temperature (<sup>&#x00B0;</sup>C) and <italic>RH</italic> is relative humidity (%).</p>
</sec>
<sec id="S2.SS3">
<title>Serum Sampling and Analysis</title>
<p>Blood samples were collected with non-anticoagulation vacuum blood vessels before morning feeding after fasting for 12 h on days 30, 60, and 90. Serum was harvested following centrifugation at 3,000 &#x00D7; <italic>g</italic> for 10 min at 4<sup>&#x00B0;</sup>C and subsequently frozen at &#x2212;80<sup>&#x00B0;</sup>C until analysis.</p>
<p>The concentrations of serum glucose, blood urea nitrogen (BUN), total protein (TP), albumin (ALB), glutamate, and globulin (GLB) were determined using corresponding commercial kits (Zhongsheng Beikong Bio-technology and Science Inc., Beijing, China) and an automatic biochemical analyzer (BS-420, Shenzhen Mindray Bio-medical Electronics Co., Shenzhen, China). The concentrations of glutamate, immunoglobulin A (IgA), immunoglobulin G (IgG), and immunoglobulin M (IgM) were measured using corresponding commercial kits (Beijing Sino-UK Institute of Biological Technology, Beijing, China) and a semi-automatic biochemical analyzer (A6, Beijing Songshang Technology Co., Beijing, China). The concentrations of growth hormone (GH), heat shock protein 70 (HSP70), adrenocorticotrophic hormone (ATCH), corticosterone (CORT), triiodothyronine (T<sub>3</sub>), and tetraiodothyronine (T<sub>4</sub>) were determined using corresponding commercial ELISA kits (Beijing Sino-UK Institute of Biological Technology, Beijing, China) and a microplate reader (DR-200BS, Wuxi Hua Wei De Lang Instrument Co., Wuxi, China).</p>
</sec>
<sec id="S2.SS4">
<title>Determination of Rumen Fermentation Characteristics</title>
<p>Rumen fluid pH was measured immediately after slaughter using a portable pH meter [Testo 206-pH1, Testo Instruments International (shanghai) CO., Shanghai, China]. Then samples were collected for the determination of microbial crude protein (MCP), ammonia nitrogen (NH<sub>3</sub>-N), and volatile fatty acids (VFAs). The VFA concentration was analyzed by gas chromatography (GC-2014, Shimadzu, Tokyo, Japan) equipped with a capillary column (Stabilwax, Restek, Bellefonte, PA, United States). NH<sub>3</sub>-N concentration was determined according to the method of Broderica and Kang (<xref ref-type="bibr" rid="B21">21</xref>). MCP concentration was analyzed according to the method of Makkar et al. (<xref ref-type="bibr" rid="B22">22</xref>).</p>
</sec>
<sec id="S2.SS5">
<title>Determination of Apparent Nutrient Digestibility</title>
<p>Feces were collected for five consecutive days at the end of the trial. In the laboratory, all feces of each replicate were evenly mixed and 10% sulfuric acid was added to fix nitrogen. Fecal samples were stored at &#x2212;20<sup>&#x00B0;</sup>C for subsequent determination.</p>
<p>Dry matter (DM), crude protein (CP), ash, and ether extract (EE) of the feed samples and fecal samples were determined according to the Association of Analytical Communities (AOAC) (<xref ref-type="bibr" rid="B23">23</xref>) using the methods 967.03, 984.13, 924.05, and 920.39, respectively. Neutral detergent fiber (NDF) and acid detergent fiber (ADF) were determined using an Ankom A200i Fiber analyzer (ANKOM Technology Co., New York, NY, United States) according to Van Soest et al. (<xref ref-type="bibr" rid="B24">24</xref>). The content of hydrochloric acid insoluble ash (AIA) was determined according to Keulen and Young (<xref ref-type="bibr" rid="B25">25</xref>) described, and AIA was used as a digestibility marker. The formula was:</p>
<disp-formula id="S2.Ex3">
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<mml:mo>]</mml:mo>
</mml:mrow>
<mml:mo>&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
<mml:mo>,</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <italic>AD</italic> represents the apparent digestibility of the nutrient content, <italic>a</italic> represents the nutrient content of feedstuffs, <italic>b</italic> represents the nutrient content of feces, <italic>c</italic> represents the AIA content of feedstuffs, and <italic>d</italic> represents the AIA content of feces.</p>
</sec>
<sec id="S2.SS6">
<title>Determination of Slaughter Performance</title>
<p>One sheep was randomly selected from each replicate for slaughter, after fasting for 12 h. After the removal of head, feet, tail, and internal organs, the carcass, heart, spleen, liver, lungs, and kidneys were weighed. The dressing percentage was calculated as: carcass weight (kg)/live weight (kg) before slaughter &#x00D7; 100%. The organ index was calculated as organ index = organ weight (g)/live weight (kg) before slaughter. Backfat thickness, eye muscle area (EMA), and grade-rule (GR) tissue depth values were measured on the left side of the carcass according to Song et al. (<xref ref-type="bibr" rid="B26">26</xref>). Backfat thickness is the thickness between the 12th and 13th ribs. EMA is the cross-sectional area of the 12th and 13th ribs. GR is the total tissue thickness between the 12th and 13th rib and 11 cm from the dorsal midline of the carcass, which can represent the carcass fat content.</p>
</sec>
<sec id="S2.SS7">
<title>Statistical Analysis</title>
<p>All data were analyzed using SPSS 17.0 software (SPSS Inc., Chicago, IL, United States). Data were analyzed using double-tailed <italic>t</italic>-tests after checking normal distribution. The data were considered significantly different if <italic>p</italic> &#x2264; 0.05, and a tendency was suggested if 0.05 &#x003C; <italic>p</italic> &#x003C; 0.10.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Temperature and Humidity Index Values</title>
<p>The Hu sheep was suffering from heat stress throughout the whole trial period, as shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. The days that the Hu sheep spent at different <italic>THI</italic> thresholds were: 72 &#x2264; <italic>THI &#x003C;</italic> 78 for 2 days, 78 &#x2264; <italic>THI</italic> &#x003C; 90 for 48 days, and <italic>THI</italic>s &#x2265; 90 for 40 days.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>The average temperature, average relative humidity, and <italic>THI</italic> during the trial period.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-851386-g001.tif"/>
</fig>
</sec>
<sec id="S3.SS2">
<title>Growth Performance</title>
<p>The growth performance of the Hu sheep is shown in <xref ref-type="table" rid="T2">Table 2</xref>. No differences were observed in body weight on days 30, 60, and 90 between CON and GLU (<italic>p</italic> &#x003E; 0.05). No differences were observed in ADFI, ADG, and F:G ratio between GLU and CON during phase 1 (1&#x2013;30 days) and phase 2 (31&#x2013;60 days) (<italic>p</italic> &#x003E; 0.05). However, during phase 3 (61&#x2013;90 days), the ADG in GLU was higher than in CON (<italic>p &#x003C;</italic> 0.05), and the ADFI and F:G ratio in GLU was lower, compared with those in CON (<italic>p &#x003C;</italic> 0.05).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Effects of glutamate supplementation on growth performance of heat-stressed Hu sheep (<italic>n</italic> = 6)<sup>1</sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Items</td>
<td valign="top" align="center">CON</td>
<td valign="top" align="center">GLU</td>
<td valign="top" align="center">SEM</td>
<td valign="top" align="center"><italic>P-</italic>value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5"><bold>Body weight (BW)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Day 0, kg</td>
<td valign="top" align="center">17.77</td>
<td valign="top" align="center">17.71</td>
<td valign="top" align="center">0.173</td>
<td valign="top" align="center">0.877</td>
</tr>
<tr>
<td valign="top" align="left">Day 30, kg</td>
<td valign="top" align="center">24.70</td>
<td valign="top" align="center">24.78</td>
<td valign="top" align="center">0.353</td>
<td valign="top" align="center">0.912</td>
</tr>
<tr>
<td valign="top" align="left">Day 60, kg</td>
<td valign="top" align="center">31.08</td>
<td valign="top" align="center">31.31</td>
<td valign="top" align="center">0.449</td>
<td valign="top" align="center">0.800</td>
</tr>
<tr>
<td valign="top" align="left">Day 90, kg</td>
<td valign="top" align="center">36.13</td>
<td valign="top" align="center">37.02</td>
<td valign="top" align="center">0.501</td>
<td valign="top" align="center">0.379</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Phase 1, 1&#x2013;30</bold> <bold>days</bold></td>
</tr>
<tr>
<td valign="top" align="left">ADFI, g/d</td>
<td valign="top" align="center">1110.53</td>
<td valign="top" align="center">1108.67</td>
<td valign="top" align="center">13.140</td>
<td valign="top" align="center">0.944</td>
</tr>
<tr>
<td valign="top" align="left">ADG, g/d</td>
<td valign="top" align="center">231.11</td>
<td valign="top" align="center">235.56</td>
<td valign="top" align="center">8.491</td>
<td valign="top" align="center">0.797</td>
</tr>
<tr>
<td valign="top" align="left">F:G</td>
<td valign="top" align="center">4.81</td>
<td valign="top" align="center">4.71</td>
<td valign="top" align="center">0.220</td>
<td valign="top" align="center">0.810</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Phase 2, 31&#x2013;60 days</bold></td>
</tr>
<tr>
<td valign="top" align="left">ADFI, g/d</td>
<td valign="top" align="center">1343.00</td>
<td valign="top" align="center">1358.00</td>
<td valign="top" align="center">7.903</td>
<td valign="top" align="center">0.347</td>
</tr>
<tr>
<td valign="top" align="left">ADG, g/d</td>
<td valign="top" align="center">212.78</td>
<td valign="top" align="center">217.85</td>
<td valign="top" align="center">6.798</td>
<td valign="top" align="center">0.714</td>
</tr>
<tr>
<td valign="top" align="left">F:G</td>
<td valign="top" align="center">6.31</td>
<td valign="top" align="center">6.23</td>
<td valign="top" align="center">0.216</td>
<td valign="top" align="center">0.870</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Phase 3, 61&#x2013;90 days</bold></td>
</tr>
<tr>
<td valign="top" align="left">ADFI, g/d</td>
<td valign="top" align="center">1465.67<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
<td valign="top" align="center">1436.00<xref ref-type="table-fn" rid="t2fna"><sup>b</sup></xref></td>
<td valign="top" align="center">6.976</td>
<td valign="top" align="center">0.032</td>
</tr>
<tr>
<td valign="top" align="left">ADG, g/d</td>
<td valign="top" align="center">168.26<xref ref-type="table-fn" rid="t2fna"><sup>b</sup></xref></td>
<td valign="top" align="center">190.35<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
<td valign="top" align="center">5.484</td>
<td valign="top" align="center">0.043</td>
</tr>
<tr>
<td valign="top" align="left">F:G</td>
<td valign="top" align="center">8.71<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
<td valign="top" align="center">7.54<xref ref-type="table-fn" rid="t2fna"><sup>b</sup></xref></td>
<td valign="top" align="center">0.259</td>
<td valign="top" align="center">0.021</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Whole phase, 1&#x2013;90 days</bold></td>
</tr>
<tr>
<td valign="top" align="left">ADFI, g/d</td>
<td valign="top" align="center">1306.40</td>
<td valign="top" align="center">1300.89</td>
<td valign="top" align="center">12.504</td>
<td valign="top" align="center">0.820</td>
</tr>
<tr>
<td valign="top" align="left">ADG, g/d</td>
<td valign="top" align="center">204.05</td>
<td valign="top" align="center">214.58</td>
<td valign="top" align="center">4.577</td>
<td valign="top" align="center">0.254</td>
</tr>
<tr>
<td valign="top" align="left">F:G</td>
<td valign="top" align="center">6.40</td>
<td valign="top" align="center">6.06</td>
<td valign="top" align="center">0.143</td>
<td valign="top" align="center">0.246</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t2fn1"><p><italic><sup>1</sup>CON, basal diet group; GLU, basal diet + 3 g/head/day glutamate group.</italic></p></fn>
<fn><p><italic>ADFI, average daily feed intake; ADG, average daily gain; F:G, ADFI/ADG.</italic></p></fn>
<fn id="t2fna"><p><italic><sup>a,b</sup>Different superscripts indicate significant differences within a row (P &#x003C; 0.05).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS3">
<title>Slaughter Performance</title>
<p><xref ref-type="table" rid="T3">Table 3</xref> shows no differences in carcass weight, dressing percentage, backfat thickness, eye muscle area, GR value, organ weight, and organ index between GLU and CON (<italic>p &#x003E;</italic> 0.05). However, spleen weight (<italic>p</italic> = 0.078) and spleen index (<italic>p</italic> = 0.079) in GLU tended to increase (by 54.11 and 53.71%), respectively, as compared with CON (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Effects of glutamate supplementation on carcass traits of heat stressed Hu sheep (<italic>n</italic> = 6)<sup>1</sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Items</td>
<td valign="top" align="center">CON</td>
<td valign="top" align="center">GLU</td>
<td valign="top" align="center">SEM</td>
<td valign="top" align="center"><italic>P-</italic>value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Live weight before slaughter, kg</td>
<td valign="top" align="center">37.11</td>
<td valign="top" align="center">37.05</td>
<td valign="top" align="center">0.343</td>
<td valign="top" align="center">0.915</td>
</tr>
<tr>
<td valign="top" align="left">Carcass weight, kg</td>
<td valign="top" align="center">18.57</td>
<td valign="top" align="center">18.53</td>
<td valign="top" align="center">0.257</td>
<td valign="top" align="center">0.940</td>
</tr>
<tr>
<td valign="top" align="left">Dressing percentage<xref ref-type="table-fn" rid="t3fn2"><sup>2</sup></xref>, %</td>
<td valign="top" align="center">50.06</td>
<td valign="top" align="center">49.97</td>
<td valign="top" align="center">0.598</td>
<td valign="top" align="center">0.946</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Carcass traits</bold></td>
</tr>
<tr>
<td valign="top" align="left">Backfat thickness<xref ref-type="table-fn" rid="t3fn3"><sup>3</sup></xref>, mm</td>
<td valign="top" align="center">15.98</td>
<td valign="top" align="center">16.15</td>
<td valign="top" align="center">0.228</td>
<td valign="top" align="center">0.258</td>
</tr>
<tr>
<td valign="top" align="left">Eye muscle area<xref ref-type="table-fn" rid="t3fn4"><sup>4</sup></xref>, cm<xref ref-type="table-fn" rid="t3fn2"><sup>2</sup></xref></td>
<td valign="top" align="center">24.70</td>
<td valign="top" align="center">24.78</td>
<td valign="top" align="center">0.899</td>
<td valign="top" align="center">0.929</td>
</tr>
<tr>
<td valign="top" align="left">GR value<xref ref-type="table-fn" rid="t3fn5"><sup>5</sup></xref>, mm</td>
<td valign="top" align="center">18.61</td>
<td valign="top" align="center">19.00</td>
<td valign="top" align="center">0.352</td>
<td valign="top" align="center">0.609</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t3fn1"><p><italic><sup>1</sup>CON, basal diet group; GLU, basal diet + 3 g/head/day glutamate group.</italic></p></fn>
<fn id="t3fn2"><p><italic><sup>2</sup>Dressing percentage = carcass weight/live weight before slaughter.</italic></p></fn>
<fn id="t3fn3"><p><italic><sup>3</sup>Between the 12th and 13th ribs on the left side of the carcass.</italic></p></fn>
<fn id="t3fn4"><p><italic><sup>4</sup>The cross-sectional areas of the 12th and 13th rib were depicted with sulfate paper. Then the area was calculated by the formula: eye muscle area = height &#x00D7; width &#x00D7; 0.7.</italic></p></fn>
<fn id="t3fn5"><p><italic><sup>5</sup>Grade-rule (GR) value = the total tissue thickness between the 12th and 13th ribs and 11 cm from the dorsal midline of the carcass.</italic></p></fn>
<fn><p><italic><sup>a,b</sup>Different superscripts indicate significant differences within a row (P &#x003C; 0.05).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Effects of glutamate supplementation on organ index of heat-stressed Hu sheep (<italic>n</italic> = 6)<sup>a</sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Items</td>
<td valign="top" align="center">CON</td>
<td valign="top" align="center">GLU</td>
<td valign="top" align="center">SEM</td>
<td valign="top" align="center"><italic>P-</italic>value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5"><bold>Organ weight</bold></td>
</tr>
<tr>
<td valign="top" align="left">Heart, g</td>
<td valign="top" align="center">127.41</td>
<td valign="top" align="center">127.09</td>
<td valign="top" align="center">2.546</td>
<td valign="top" align="center">0.954</td>
</tr>
<tr>
<td valign="top" align="left">Spleen, g</td>
<td valign="top" align="center">51.62</td>
<td valign="top" align="center">79.55</td>
<td valign="top" align="center">7.498</td>
<td valign="top" align="center">0.078</td>
</tr>
<tr>
<td valign="top" align="left">Liver, g</td>
<td valign="top" align="center">611.21</td>
<td valign="top" align="center">588.73</td>
<td valign="top" align="center">14.984</td>
<td valign="top" align="center">0.479</td>
</tr>
<tr>
<td valign="top" align="left">Kidney, g</td>
<td valign="top" align="center">98.64</td>
<td valign="top" align="center">99.09</td>
<td valign="top" align="center">2.222</td>
<td valign="top" align="center">0.925</td>
</tr>
<tr>
<td valign="top" align="left">Lung, g</td>
<td valign="top" align="center">341.57</td>
<td valign="top" align="center">376.69</td>
<td valign="top" align="center">13.224</td>
<td valign="top" align="center">0.197</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Organ index<xref ref-type="table-fn" rid="t4fnb"><sup>b</sup></xref></bold></td>
</tr>
<tr>
<td valign="top" align="left">Heart, g/kg</td>
<td valign="top" align="center">3.44</td>
<td valign="top" align="center">3.43</td>
<td valign="top" align="center">0.073</td>
<td valign="top" align="center">0.966</td>
</tr>
<tr>
<td valign="top" align="left">Spleen, g/kg</td>
<td valign="top" align="center">1.40</td>
<td valign="top" align="center">2.15</td>
<td valign="top" align="center">0.203</td>
<td valign="top" align="center">0.079</td>
</tr>
<tr>
<td valign="top" align="left">Liver, g/kg</td>
<td valign="top" align="center">16.46</td>
<td valign="top" align="center">15.91</td>
<td valign="top" align="center">0.396</td>
<td valign="top" align="center">0.510</td>
</tr>
<tr>
<td valign="top" align="left">Kidney, g/kg</td>
<td valign="top" align="center">2.66</td>
<td valign="top" align="center">2.68</td>
<td valign="top" align="center">0.066</td>
<td valign="top" align="center">0.916</td>
</tr>
<tr>
<td valign="top" align="left">Lung, g/kg</td>
<td valign="top" align="center">9.22</td>
<td valign="top" align="center">10.16</td>
<td valign="top" align="center">0.356</td>
<td valign="top" align="center">0.196</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t4fna"><p><italic><sup>a</sup>CON, basal diet group; GLU, basal diet + 3 g/head/day glutamate group.</italic></p></fn>
<fn id="t4fnb"><p><italic><sup>b</sup>Organ index = organ weight (g)/live weight before slaughter (kg).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4">
<title>Apparent Nutrient Digestibility</title>
<p>As shown in <xref ref-type="table" rid="T5">Table 5</xref>, the digestibility of DM, OM, and CP in GLU was higher than those in CON (<italic>p &#x003C;</italic> 0.05), whereas no significant differences were observed in the digestibility of EE, NDF, ADF, and soluble carbohydrates (SCHO) between GLU and CON (<italic>p</italic> &#x003E; 0.05).</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Effects of glutamate supplementation on apparent nutrient digestibility of heat-stressed Hu sheep (<italic>n</italic> = 6)<sup>1</sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Items</td>
<td valign="top" align="center">CON</td>
<td valign="top" align="center">GLU</td>
<td valign="top" align="center">SEM</td>
<td valign="top" align="center"><italic>P-</italic>value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">DM, %</td>
<td valign="top" align="center">82.30<xref ref-type="table-fn" rid="t5fna"><sup>b</sup></xref></td>
<td valign="top" align="center">83.62<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
<td valign="top" align="center">0.318</td>
<td valign="top" align="center">0.030</td>
</tr>
<tr>
<td valign="top" align="left">OM, %</td>
<td valign="top" align="center">85.27<xref ref-type="table-fn" rid="t5fna"><sup>b</sup></xref></td>
<td valign="top" align="center">86.58<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
<td valign="top" align="center">0.290</td>
<td valign="top" align="center">0.015</td>
</tr>
<tr>
<td valign="top" align="left">SCHO, %</td>
<td valign="top" align="center">86.82</td>
<td valign="top" align="center">89.52</td>
<td valign="top" align="center">1.382</td>
<td valign="top" align="center">0.352</td>
</tr>
<tr>
<td valign="top" align="left">CP, %</td>
<td valign="top" align="center">71.46<xref ref-type="table-fn" rid="t5fna"><sup>b</sup></xref></td>
<td valign="top" align="center">74.61<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
<td valign="top" align="center">0.624</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">EE, %</td>
<td valign="top" align="center">77.20</td>
<td valign="top" align="center">77.25</td>
<td valign="top" align="center">0.289</td>
<td valign="top" align="center">0.938</td>
</tr>
<tr>
<td valign="top" align="left">NDF, %</td>
<td valign="top" align="center">64.44</td>
<td valign="top" align="center">65.35</td>
<td valign="top" align="center">0.625</td>
<td valign="top" align="center">0.497</td>
</tr>
<tr>
<td valign="top" align="left">ADF, %</td>
<td valign="top" align="center">57.70</td>
<td valign="top" align="center">60.23</td>
<td valign="top" align="center">0.828</td>
<td valign="top" align="center">0.131</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t5fn1"><p><italic><sup>1</sup>CON, basal diet group; GLU, basal diet + 3 g/head/day glutamate group; M, dry matter; OM, organic matter; CP, crude protein; EE, ether extract; NDF, neutral detergent fiber; ADF, acid detergent fiber; SCHO, soluble carbohydrates.</italic></p></fn>
<fn id="t5fna"><p><italic><sup>a,b</sup>Different superscripts indicate significant differences within a row (P &#x003C; 0.05).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS5">
<title>Rumen Fermentation Characteristics</title>
<p>Rumen fermentation characteristics are shown in <xref ref-type="table" rid="T6">Table 6</xref>. Ruminal pH, MCP, NH<sub>3</sub>-N, and isovalerate concentration in GLU were all higher than those in CON (<italic>p &#x003C;</italic> 0.05). The concentrations of TVFAs and VFAs in GLU, except for isovalerate, were similar to those in CON (<italic>p &#x003E;</italic> 0.05).</p>
<table-wrap position="float" id="T6">
<label>TABLE 6</label>
<caption><p>Effects of glutamate supplementation on rumen fermentation characteristics of heat-stressed Hu sheep (<italic>n</italic> = 6)<sup>1</sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Items</td>
<td valign="top" align="center">CON</td>
<td valign="top" align="center">GLU</td>
<td valign="top" align="center">SEM</td>
<td valign="top" align="center"><italic>P-</italic>value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">pH</td>
<td valign="top" align="center">6.11<xref ref-type="table-fn" rid="t6fna"><sup>b</sup></xref></td>
<td valign="top" align="center">6.44<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
<td valign="top" align="center">0.086</td>
<td valign="top" align="center">0.050</td>
</tr>
<tr>
<td valign="top" align="left">MCP<xref ref-type="table-fn" rid="t6fn2"><sup>2</sup></xref>, mg/dL</td>
<td valign="top" align="center">261.10<xref ref-type="table-fn" rid="t6fna"><sup>b</sup></xref></td>
<td valign="top" align="center">381.71<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
<td valign="top" align="center">27.103</td>
<td valign="top" align="center">0.012</td>
</tr>
<tr>
<td valign="top" align="left">NH<sub>3</sub>-N<xref ref-type="table-fn" rid="t6fn2"><sup>3</sup></xref>, mg/dL</td>
<td valign="top" align="center">15.23<italic><xref ref-type="table-fn" rid="t6fna"><sup>b</sup></xref></italic></td>
<td valign="top" align="center">19.91<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
<td valign="top" align="center">1.111</td>
<td valign="top" align="center">0.027</td>
</tr>
<tr>
<td valign="top" align="left">Acetate, mmol/L</td>
<td valign="top" align="center">36.25</td>
<td valign="top" align="center">37.02</td>
<td valign="top" align="center">3.525</td>
<td valign="top" align="center">0.920</td>
</tr>
<tr>
<td valign="top" align="left">Propionate, mmol/L</td>
<td valign="top" align="center">7.41</td>
<td valign="top" align="center">8.67</td>
<td valign="top" align="center">0.677</td>
<td valign="top" align="center">0.383</td>
</tr>
<tr>
<td valign="top" align="left">Butyrate, mmol/L</td>
<td valign="top" align="center">8.87</td>
<td valign="top" align="center">7.90</td>
<td valign="top" align="center">1.007</td>
<td valign="top" align="center">0.655</td>
</tr>
<tr>
<td valign="top" align="left">Isobutyrate, mmol/L</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">0.110</td>
<td valign="top" align="center">0.093</td>
</tr>
<tr>
<td valign="top" align="left">Valerate, mmol/L</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">0.063</td>
<td valign="top" align="center">0.310</td>
</tr>
<tr>
<td valign="top" align="left">Isovalerate, mmol/L</td>
<td valign="top" align="center">1.05<xref ref-type="table-fn" rid="t6fna"><sup>b</sup></xref></td>
<td valign="top" align="center">1.76<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
<td valign="top" align="center">0.154</td>
<td valign="top" align="center">0.011</td>
</tr>
<tr>
<td valign="top" align="left">Acetate/Propionate, A/P</td>
<td valign="top" align="center">4.82</td>
<td valign="top" align="center">4.25</td>
<td valign="top" align="center">0.161</td>
<td valign="top" align="center">0.075</td>
</tr>
<tr>
<td valign="top" align="left">TVFA<xref ref-type="table-fn" rid="t6fn2"><sup>4</sup></xref>, mmol/L</td>
<td valign="top" align="center">54.76</td>
<td valign="top" align="center">57.04</td>
<td valign="top" align="center">5.316</td>
<td valign="top" align="center">0.844</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t6fn1"><p><italic><sup>1</sup>CON, basal diet group; GLU, basal diet + 3 g/head/day glutamate group.</italic></p></fn>
<fn id="t6fn2"><p><italic><sup>2&#x2013;4</sup>MCP, microbial crude protein; NH<sub>3</sub>-N, ammonia nitrogen; TVFA, total volatile fatty acids, calculated as follows: acetate + propionate + butyrate + isobutyrate + valerate + isovalerate.</italic></p></fn>
<fn id="t6fna"><p><italic><sup>a,b</sup>Different superscripts indicate significant differences within a row (P &#x003C; 0.05).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS6">
<title>Serum Biochemical Indices and Serum Hormones</title>
<p>The levels of serum glutamate, GLB, IgA, IgG, and IgM in GLU were higher than in CON on day 90 (<italic>p &#x003C;</italic> 0.05), and the ALB/GLB in GLU was lower than that in CON on day 90 (<italic>p &#x003C;</italic> 0.05) (<xref ref-type="table" rid="T7">Table 7</xref>). However, all the serum biochemical parameters-listed above were similar between GLU and CON on days 30 and 60 (<italic>p &#x003E;</italic> 0.05).</p>
<table-wrap position="float" id="T7">
<label>TABLE 7</label>
<caption><p>Effects of glutamate supplementation on serum biochemistry of heat-stressed Hu sheep (<italic>n</italic> = 6)<sup>1</sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left" colspan="2">Items</td>
<td valign="top" align="center">CON</td>
<td valign="top" align="center">GLU</td>
<td valign="top" align="center">SEM</td>
<td valign="top" align="center"><italic>P-</italic>value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Glutamate, &#x03BC;mol/L</td>
<td valign="top" align="center">30<italic>day</italic></td>
<td valign="top" align="center">148.89</td>
<td valign="top" align="center">149.32</td>
<td valign="top" align="center">2.334</td>
<td valign="top" align="center">0.931</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>day</italic></td>
<td valign="top" align="center">143.57</td>
<td valign="top" align="center">143.68</td>
<td valign="top" align="center">2.422</td>
<td valign="top" align="center">0.983</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>day</italic></td>
<td valign="top" align="center">144.90<xref ref-type="table-fn" rid="t7fna"><sup>b</sup></xref></td>
<td valign="top" align="center">155.29<xref ref-type="table-fn" rid="t7fna"><sup>a</sup></xref></td>
<td valign="top" align="center">2.433</td>
<td valign="top" align="center">0.024</td>
</tr>
<tr>
<td valign="top" align="left">Glucose, mmol/L</td>
<td valign="top" align="center">30<italic>day</italic></td>
<td valign="top" align="center">2.76</td>
<td valign="top" align="center">3.14</td>
<td valign="top" align="center">0.166</td>
<td valign="top" align="center">0.290</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>day</italic></td>
<td valign="top" align="center">3.30</td>
<td valign="top" align="center">3.53</td>
<td valign="top" align="center">0.160</td>
<td valign="top" align="center">0.487</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>day</italic></td>
<td valign="top" align="center">1.44</td>
<td valign="top" align="center">1.54</td>
<td valign="top" align="center">0.199</td>
<td valign="top" align="center">0.832</td>
</tr>
<tr>
<td valign="top" align="left">BUN, mmol/L</td>
<td valign="top" align="center">30<italic>day</italic></td>
<td valign="top" align="center">4.97</td>
<td valign="top" align="center">5.41</td>
<td valign="top" align="center">0.162</td>
<td valign="top" align="center">0.185</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>day</italic></td>
<td valign="top" align="center">6.03</td>
<td valign="top" align="center">6.26</td>
<td valign="top" align="center">0.276</td>
<td valign="top" align="center">0.706</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>day</italic></td>
<td valign="top" align="center">7.21</td>
<td valign="top" align="center">7.23</td>
<td valign="top" align="center">0.167</td>
<td valign="top" align="center">0.942</td>
</tr>
<tr>
<td valign="top" align="left">TP, g/L</td>
<td valign="top" align="center">30<italic>day</italic></td>
<td valign="top" align="center">71.84</td>
<td valign="top" align="center">74.04</td>
<td valign="top" align="center">1.443</td>
<td valign="top" align="center">0.471</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>day</italic></td>
<td valign="top" align="center">74.70</td>
<td valign="top" align="center">75.09</td>
<td valign="top" align="center">0.883</td>
<td valign="top" align="center">0.834</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>day</italic></td>
<td valign="top" align="center">74.46</td>
<td valign="top" align="center">77.28</td>
<td valign="top" align="center">0.827</td>
<td valign="top" align="center">0.088</td>
</tr>
<tr>
<td valign="top" align="left">ALB, g/L</td>
<td valign="top" align="center">30<italic>day</italic></td>
<td valign="top" align="center">32.86</td>
<td valign="top" align="center">32.44</td>
<td valign="top" align="center">0.542</td>
<td valign="top" align="center">0.375</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>day</italic></td>
<td valign="top" align="center">39.17</td>
<td valign="top" align="center">37.80</td>
<td valign="top" align="center">0.595</td>
<td valign="top" align="center">0.267</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>day</italic></td>
<td valign="top" align="center">39.57</td>
<td valign="top" align="center">39.10</td>
<td valign="top" align="center">0.468</td>
<td valign="top" align="center">0.641</td>
</tr>
<tr>
<td valign="top" align="left">GLB, g/L</td>
<td valign="top" align="center">30<italic>day</italic></td>
<td valign="top" align="center">38.98</td>
<td valign="top" align="center">41.61</td>
<td valign="top" align="center">1.596</td>
<td valign="top" align="center">0.430</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>day</italic></td>
<td valign="top" align="center">35.52</td>
<td valign="top" align="center">37.30</td>
<td valign="top" align="center">0.908</td>
<td valign="top" align="center">0.353</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>day</italic></td>
<td valign="top" align="center">34.90<xref ref-type="table-fn" rid="t7fna"><sup>b</sup></xref></td>
<td valign="top" align="center">38.18<xref ref-type="table-fn" rid="t7fna"><sup>a</sup></xref></td>
<td valign="top" align="center">0.719</td>
<td valign="top" align="center">0.013</td>
</tr>
<tr>
<td valign="top" align="left">ALB/GLB</td>
<td valign="top" align="center">30<italic>day</italic></td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">0.037</td>
<td valign="top" align="center">0.555</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>day</italic></td>
<td valign="top" align="center">1.11</td>
<td valign="top" align="center">1.03</td>
<td valign="top" align="center">0.038</td>
<td valign="top" align="center">0.291</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>day</italic></td>
<td valign="top" align="center">1.14<xref ref-type="table-fn" rid="t7fna"><sup>a</sup></xref></td>
<td valign="top" align="center">1.03<xref ref-type="table-fn" rid="t7fna"><sup>b</sup></xref></td>
<td valign="top" align="center">0.026</td>
<td valign="top" align="center">0.025</td>
</tr>
<tr>
<td valign="top" align="left">IgA, g/L</td>
<td valign="top" align="center">30<italic>day</italic></td>
<td valign="top" align="center">1.63</td>
<td valign="top" align="center">1.64</td>
<td valign="top" align="center">0.019</td>
<td valign="top" align="center">0.715</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>day</italic></td>
<td valign="top" align="center">1.56</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">0.031</td>
<td valign="top" align="center">0.316</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>day</italic></td>
<td valign="top" align="center">1.54<xref ref-type="table-fn" rid="t7fna"><sup>b</sup></xref></td>
<td valign="top" align="center">1.70<xref ref-type="table-fn" rid="t7fna"><sup>a</sup></xref></td>
<td valign="top" align="center">0.030</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">IgG, g/L</td>
<td valign="top" align="center">30<italic>day</italic></td>
<td valign="top" align="center">16.76</td>
<td valign="top" align="center">16.53</td>
<td valign="top" align="center">0.317</td>
<td valign="top" align="center">0.731</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>day</italic></td>
<td valign="top" align="center">16.22</td>
<td valign="top" align="center">16.15</td>
<td valign="top" align="center">0.327</td>
<td valign="top" align="center">0.926</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>day</italic></td>
<td valign="top" align="center">16.14<xref ref-type="table-fn" rid="t7fna"><sup>b</sup></xref></td>
<td valign="top" align="center">17.69<xref ref-type="table-fn" rid="t7fna"><sup>a</sup></xref></td>
<td valign="top" align="center">0.374</td>
<td valign="top" align="center">0.030</td>
</tr>
<tr>
<td valign="top" align="left">IgM, g/L</td>
<td valign="top" align="center">30<italic>day</italic></td>
<td valign="top" align="center">1.31</td>
<td valign="top" align="center">1.19</td>
<td valign="top" align="center">0.063</td>
<td valign="top" align="center">0.365</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>day</italic></td>
<td valign="top" align="center">1.20</td>
<td valign="top" align="center">1.11</td>
<td valign="top" align="center">0.046</td>
<td valign="top" align="center">0.339</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>day</italic></td>
<td valign="top" align="center">1.18<xref ref-type="table-fn" rid="t7fna"><sup>b</sup></xref></td>
<td valign="top" align="center">1.34<xref ref-type="table-fn" rid="t7fna"><sup>a</sup></xref></td>
<td valign="top" align="center">0.041</td>
<td valign="top" align="center">0.037</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t7fn1"><p><italic><sup>1</sup>CON, basal diet group; GLU, basal diet + 3 g/head/day glutamate group.</italic></p></fn>
<fn><p><italic>BUN, blood urea nitrogen; TP, total protein; ALB, albumin; GLB, globulin; IgA, immunoglobulin A; IgG, immunoglobulin G; IgM, immunoglobulin M.</italic></p></fn>
<fn id="t7fna"><p><italic><sup>a,b</sup>Different superscripts indicate significant differences within a row (P &#x003C; 0.05).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>The levels of serum hormones and HSP70 are shown in <xref ref-type="table" rid="T8">Table 8</xref>. The level of GH in GLU was higher than those in CON on day 90 (<italic>p</italic> = 0.001), and the levels of HSP70, ACTH, CORT, T<sub>3</sub>, and T<sub>4</sub> in GLU were lower than those in CON on day 90 (<italic>p &#x003C;</italic> 0.001). However, no differences were found between GLU and CON on days 30 and 60 (<italic>p &#x003E;</italic> 0.05), expect that level of T<sub>3</sub> was lower in GLU on day 30 (<italic>p &#x003C;</italic> 0.05).</p>
<table-wrap position="float" id="T8">
<label>TABLE 8</label>
<caption><p>Effects of glutamate supplementation on serum hormone and HSP70 of heat-stressed Hu sheep (<italic>n</italic> = 6)<sup>1</sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left" colspan="2">Items</td>
<td valign="top" align="center">CON</td>
<td valign="top" align="center">GLU</td>
<td valign="top" align="center">SEM</td>
<td valign="top" align="right"><italic>P-</italic>value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">HSP70, pg/mL</td>
<td valign="top" align="center">30<italic>d</italic></td>
<td valign="top" align="center">210.57</td>
<td valign="top" align="center">214.13</td>
<td valign="top" align="center">2.412</td>
<td valign="top" align="right">0.502</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>d</italic></td>
<td valign="top" align="center">220.23</td>
<td valign="top" align="center">232.52</td>
<td valign="top" align="center">3.570</td>
<td valign="top" align="right">0.100</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>d</italic></td>
<td valign="top" align="center">240.37<xref ref-type="table-fn" rid="t8fna"><sup>a</sup></xref></td>
<td valign="top" align="center">184.36<xref ref-type="table-fn" rid="t8fna"><sup>b</sup></xref></td>
<td valign="top" align="center">8.855</td>
<td valign="top" align="right">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">GH, ng/mL</td>
<td valign="top" align="center">30<italic>d</italic></td>
<td valign="top" align="center">4.83</td>
<td valign="top" align="center">5.40</td>
<td valign="top" align="center">0.217</td>
<td valign="top" align="right">0.207</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>d</italic></td>
<td valign="top" align="center">4.65</td>
<td valign="top" align="center">4.76</td>
<td valign="top" align="center">0.087</td>
<td valign="top" align="right">0.560</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>d</italic></td>
<td valign="top" align="center">4.28<xref ref-type="table-fn" rid="t8fna"><sup>b</sup></xref></td>
<td valign="top" align="center">5.32<xref ref-type="table-fn" rid="t8fna"><sup>a</sup></xref></td>
<td valign="top" align="center">0.185</td>
<td valign="top" align="right">0.001</td>
</tr>
<tr>
<td valign="top" align="left">ACTH, pg/mL</td>
<td valign="top" align="center">30<italic>d</italic></td>
<td valign="top" align="center">16.11</td>
<td valign="top" align="center">19.51</td>
<td valign="top" align="center">1.071</td>
<td valign="top" align="right">0.116</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>d</italic></td>
<td valign="top" align="center">19.88</td>
<td valign="top" align="center">19.82</td>
<td valign="top" align="center">0.579</td>
<td valign="top" align="right">0.967</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>d</italic></td>
<td valign="top" align="center">22.01<xref ref-type="table-fn" rid="t8fna"><sup>a</sup></xref></td>
<td valign="top" align="center">15.51<xref ref-type="table-fn" rid="t8fna"><sup>b</sup></xref></td>
<td valign="top" align="center">1.018</td>
<td valign="top" align="right">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">CORT, ng/mL</td>
<td valign="top" align="center">30<italic>d</italic></td>
<td valign="top" align="center">46.04</td>
<td valign="top" align="center">53.32</td>
<td valign="top" align="center">2.629</td>
<td valign="top" align="right">0.203</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>d</italic></td>
<td valign="top" align="center">51.46</td>
<td valign="top" align="center">51.49</td>
<td valign="top" align="center">3.153</td>
<td valign="top" align="right">0.996</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>d</italic></td>
<td valign="top" align="center">62.68<xref ref-type="table-fn" rid="t8fna"><sup>a</sup></xref></td>
<td valign="top" align="center">43.25<xref ref-type="table-fn" rid="t8fna"><sup>b</sup></xref></td>
<td valign="top" align="center">3.150</td>
<td valign="top" align="right">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">T<sub>3</sub>, ng/mL</td>
<td valign="top" align="center">30<italic>d</italic></td>
<td valign="top" align="center">1.19<xref ref-type="table-fn" rid="t8fna"><sup>a</sup></xref></td>
<td valign="top" align="center">1.09<xref ref-type="table-fn" rid="t8fna"><sup>b</sup></xref></td>
<td valign="top" align="center">0.024</td>
<td valign="top" align="right">0.026</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>d</italic></td>
<td valign="top" align="center">1.14</td>
<td valign="top" align="center">1.20</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="right">0.199</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>d</italic></td>
<td valign="top" align="center">1.24<xref ref-type="table-fn" rid="t8fna"><sup>a</sup></xref></td>
<td valign="top" align="center">1.05<xref ref-type="table-fn" rid="t8fna"><sup>b</sup></xref></td>
<td valign="top" align="center">0.030</td>
<td valign="top" align="right">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">T<sub>4</sub>, ng/mL</td>
<td valign="top" align="center">30<italic>d</italic></td>
<td valign="top" align="center">62.43</td>
<td valign="top" align="center">67.00</td>
<td valign="top" align="center">1.584</td>
<td valign="top" align="right">0.159</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60<italic>d</italic></td>
<td valign="top" align="center">65.55</td>
<td valign="top" align="center">70.80</td>
<td valign="top" align="center">3.258</td>
<td valign="top" align="right">0.460</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">90<italic>d</italic></td>
<td valign="top" align="center">91.72<xref ref-type="table-fn" rid="t8fna"><sup>a</sup></xref></td>
<td valign="top" align="center">62.79<xref ref-type="table-fn" rid="t8fna"><sup>b</sup></xref></td>
<td valign="top" align="center">5.106</td>
<td valign="top" align="right">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t8fn1"><p><italic><sup>1</sup>CON, basal diet group; GLU, basal diet + 3 g/head/day glutamate group.</italic></p></fn>
<fn><p><italic>GH, growth hormone; HSP70, heat shock protein 70; ACTH, adrenocorticotrophic hormone; CORT, corticosterone; T<sub>3</sub>, triiodothyronine; T<sub>4</sub>, thyroxine.</italic></p></fn>
<fn id="t8fna"><p><italic><sup>a,b</sup>Different superscripts indicate significant differences within a row (P &#x003C; 0.05).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Temperature and humidity index is widely used as a practical indicator of the degree of heat stress. Thornton et al. (<xref ref-type="bibr" rid="B27">27</xref>) summarized that the <italic>THI</italic> threshold for heat stress in sheep was as follows: absence of heat stress (<italic>THI &#x003C;</italic> 72), moderate heat stress (72 &#x2264; <italic>THI &#x003C;</italic> 78), high heat stress (78 <italic>&#x2264; THI &#x003C;</italic> 90), and extreme heat stress (<italic>THI</italic> &#x2265; 90). Li et al. (<xref ref-type="bibr" rid="B28">28</xref>) indicated that Hu sheep suffered from heat stress when they were exposed to <italic>THI</italic><sub><italic>M</italic></sub> &#x2265; 75 conditions. In the present study, the Hu sheep spent the whole period of 90 days in <italic>THI</italic> &#x2265; 75 conditions. It suggested that the Hu sheep suffered from either high or extreme heat stress throughout the whole trial period, especially during phases 2 and 3.</p>
<sec id="S4.SS1">
<title>Glutamate Improves Growth Performance of Heat-Stressed Hu Sheep</title>
<p>It is known that the heat stress leads to decreases in feed intake, nutrient digestibility, and absorption capacity, resulting in reduced animal growth performance of livestock (<xref ref-type="bibr" rid="B29">29</xref>). The research results of glutamate on the growth performance of animals are inconsistent. Wang et al. (<xref ref-type="bibr" rid="B30">30</xref>) found that the glutamate was a key neurotransmitter in the hypothalamus, which could inhibit the feed intake in animals. Other researchers indicated that it could also increase the feed intake by activating taste receptors in the digestive system (<xref ref-type="bibr" rid="B31">31</xref>). Hu et al. (<xref ref-type="bibr" rid="B32">32</xref>) and Rezaei et al. (<xref ref-type="bibr" rid="B33">33</xref>) reported lower ADFI after glutamate supplementation in pigs. In growing-finishing pigs, glutamate supplementation of 1% had no effect on ADG and F:G for the 60 days feeding regimen (<xref ref-type="bibr" rid="B32">32</xref>). By contrast, it linearly increased ADG, and decreased ADFI and F:G with monosodium glutamate addition of 0.5&#x2013;4% in post-weaning pigs (<xref ref-type="bibr" rid="B33">33</xref>). In dairy calves, a lower dosage of glutamate (0.1 or 0.3%) has no obvious effect on ADFI, ADG, and F:G within a 70 or 56 days feeding period (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). In this study, similar results of glutamate supplementation were shown in Hu sheep during phase 1 (1&#x2013;30 days) and phase 2 (31&#x2013;61 days). However, glutamate resulted in a marked increase of ADG, and a decrease of ADFI and F:G during phase 3 (61&#x2013;90 days), which might be because of the long experimental period of glutamate supplementation. The levels of serum glutamate, serum biochemical indices and serum hormones were similar during phases 1 and 2, whereas a higher level of serum glutamate, GLB, IgA, IgG, IgM, and GH, and a lower level of HSP70, ACTH, CORT, T<sub>3</sub>, and T<sub>4</sub> in GLU were observed during phase 3 in this study. It suggested that a longer period of glutamate supplementation increased the serum glutamate to promote the growth performance, improve the metabolism, and enhance the immunity of Hu sheep.</p>
</sec>
<sec id="S4.SS2">
<title>Glutamate Improves Rumen Fermentation</title>
<p>Accounting for the highest proportion of AA composition in rumen microorganisms, glutamate plays an essential role in MCP synthesis and ruminant growth (<xref ref-type="bibr" rid="B36">36</xref>). In this study, a higher concentration of MCP was observed owing to the dietary supplementation of glutamate, which promoted rumen microbial growth (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). The NH<sub>3</sub>-N is the main source of nitrogen for rumen microbial protein synthesis, and its utilization rate reflects the balance between substrate nitrogen degradation and microbial synthesis utilization (<xref ref-type="bibr" rid="B37">37</xref>). In the present study, the NH<sub>3</sub>-N concentration was notably increased by adding glutamate, which was consistent with a previous report demonstrating that dietary glutamate addition increased the NH<sub>3</sub>-N concentration in dairy cows (<xref ref-type="bibr" rid="B38">38</xref>). In this study, higher levels of NH<sub>3</sub>-N <italic>via</italic> the supplementation with glutamate provided a nitrogen source promoting microbial growth and reproduction, which supported the higher MCP in GLU. The higher NH<sub>3</sub>-N concentration in GLU indicated a higher rumen fermentation rate; however, the NH<sub>3</sub>-N concentration in this study did not reach the 235 mg/L required for the maximal fermentation rate (<xref ref-type="bibr" rid="B39">39</xref>), suggesting that the specific dosage of glutamate addition did not inhibit the rumen fermentation in Hu sheep. The concentrations of NH<sub>3</sub>-N and VFAs are considered to be the main factors affecting ruminal pH. In the present study, dietary glutamate supplementation increased rumen pH, which might be attributed to the higher NH<sub>3</sub>-N production in GLU. The results were consistent with the study of Dann et al. (<xref ref-type="bibr" rid="B38">38</xref>) who reported that glutamate supplementation could increase the rumen pH. VFAs are absorbed by the ruminal epithelial cells and provide the main energy substances for the ruminant production. These organic acids can improve the morphology of rumen mucosa, and reduce the infection of intestinal diseases by improving the intestinal microbial structure and morphology (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>). Isovalerate is also an energy substance for the ruminal epithelial cells, and linear increases in isovalerate are positively correlated with the promotion of rumen development (<xref ref-type="bibr" rid="B40">40</xref>). In this study, the higher isovalerate in GLU might be associated with an improved feed degradation rate.</p>
</sec>
<sec id="S4.SS3">
<title>Glutamate Improves Nutrient Digestibility of Heat-Stressed Hu Sheep</title>
<p>Oral intake of glutamate stimulates the salivation essential for mastication, swallowing, and digestion (<xref ref-type="bibr" rid="B43">43</xref>). A previous study demonstrated that free glutamate in digestive juices obtained from dietary digestion, absorption, or glutamine synthesis, could improve nutrient digestibility by stimulating the release of digestive enzymes and pancreatic hormones (<xref ref-type="bibr" rid="B44">44</xref>). Glutamate also could improve intestinal morphology and promote nutrient utilization in heat-stressed broilers (<xref ref-type="bibr" rid="B13">13</xref>). In the present study, the higher digestibility of DM, OM, and CP in GLU was probably due to higher serum glutamate, as mentioned above. The results of this study were similar to the research of Dann et al. (<xref ref-type="bibr" rid="B38">38</xref>) who reported that supplementation of 80 g glutamate per cow/day tended to increase the digestibility of DM and OM.</p>
</sec>
<sec id="S4.SS4">
<title>Glutamate Improves Immunity of Heat-Stressed Hu Sheep</title>
<p>Heat stress reduces animal immune function, such as decreased immune antibody secretions and spleen developmental retardation (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>). As the largest secondary lymphoid organ, the spleen is rich in various immune cells, such as B cells and T cells, which play vital roles in immune function and are responsible for IgA, IgG, and IgM production (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>). In the present study, glutamate supplementation tended to increase the spleen weight and the spleen index by 54.11 and 53.71%, respectively, probably because glutamate was beneficial to spleen development through the activation of T cell function and protection against T cell apoptosis (<xref ref-type="bibr" rid="B49">49</xref>). It is critical to emphasize that glutamate is an important immunomodulator (<xref ref-type="bibr" rid="B50">50</xref>). A previous study reported that the glutamate receptors (GluRs) were highly expressed in T cells and B cells (<xref ref-type="bibr" rid="B51">51</xref>), suggesting that glutamate had a positive effect on targeting them. However, if serum glutamate concentration exceeds the pathological 10<sup>&#x2013;3</sup> moles level, then T cell function and survival are inhibited (<xref ref-type="bibr" rid="B49">49</xref>). Serum glutamate in this study was within normal physiological concentrations. As mentioned above, higher levels of IgA, IgG, and IgM in GLU might result from the higher serum glutamate in GLU stimulating spleen development and activating T cell function. Furthermore, the decreased level of ALB/GLB in GLU might be because of the increased GLB concentration.</p>
</sec>
<sec id="S4.SS5">
<title>Glutamate Improves Serum Hormone and HSP70 Levels in Heat-Stressed Hu Sheep</title>
<p>The hypothalamic&#x2013;pituitary&#x2013;adrenal (HPA) axis and hypothalamic&#x2013;pituitary&#x2013;thyroid (HPT) axis can be activated by heat stress, which in turn regulate the corresponding hormones secreted by endocrine glands (<xref ref-type="bibr" rid="B52">52</xref>). Higher secretion of serum ACTH and CORT has been reported in animals exposed to heat stress (<xref ref-type="bibr" rid="B53">53</xref>). Generally, CORT is an appropriate end-product of the HPA axis, and higher ACTH leads to increase CORT (<xref ref-type="bibr" rid="B54">54</xref>). However, excessive CORT would accelerate the heat stress-induced protein degradation (<xref ref-type="bibr" rid="B55">55</xref>), which partially explained the lower body weight in CON in this experiment. The lower levels of ACTH and CORT in GLU on day 90 might result from the higher level of serum glutamate, which reduced the secretion of ACTH and CORT and the protein degradation of muscle.</p>
<p>The T<sub>3</sub> and T<sub>4</sub> (the main thyroid hormones), are key regulators of energy metabolism in the body (<xref ref-type="bibr" rid="B56">56</xref>). It is essential for animals to maintain the thermal balance by lowering the secretion of T<sub>3</sub> and T<sub>4</sub> (<xref ref-type="bibr" rid="B56">56</xref>). Several studies have reported that monosodium glutamate has a cumulative effect on reducing thyroid function (<xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B58">58</xref>). Similarly, in this study, a decrease in T<sub>3</sub> and T<sub>4</sub> after dietary glutamate supplementation was observed on day 90, suggesting that dietary glutamate supplementation might reduce heat stress responses by lowering heat production. A higher GH level often indicates a better anti-heat stress capability in goats (<xref ref-type="bibr" rid="B59">59</xref>). As an excitatory AA, glutamate contributes to the stimulation of GH secretion by regulating the hypothalamus (<xref ref-type="bibr" rid="B60">60</xref>). Serum GH concentrations are linearly correlated with serum glutamate (<xref ref-type="bibr" rid="B60">60</xref>), which can explain the higher level of GH in GLU in this study.</p>
<p>The HSP70, the most widely distributed and expressed HSP in the body, is involved in regulating the stability of cellular proteins, increasing the tolerance of cells to stressors, and reducing cell apoptosis (<xref ref-type="bibr" rid="B61">61</xref>). Higher HSP70 is usually positively related to the degree of heat stress (<xref ref-type="bibr" rid="B62">62</xref>). A previous study reported that glutamate was conducive to enhancing the thermodynamic stability of proteins against temperature stress (<xref ref-type="bibr" rid="B12">12</xref>). Another study showed that glutamine normalized metabolism by reducing the serum levels of HSP70 in atrial fibrillation patients (<xref ref-type="bibr" rid="B63">63</xref>). In the present study, HSP70 content in GLU decreased on day 90, suggesting that glutamate supplementation might reduce the heat stress response and normalize metabolism by reducing HSP70 levels.</p>
</sec>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>In the present study, we found that a longer period of dietary glutamate supplementation (not less than 60 days) at a dosage of 3 g/head/day was beneficial to heat-stressed Hu sheep. It might improve the growth performance of the animals by increasing the level of serum glutamate to promote growth hormone level, decrease heat stress-related hormones and HSP70 levels, and enhance immune function. These findings suggest that a strategy of glutamate supplementation has important advantages in the sheep industry under heat stress in summer.</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>Ethics Statement</title>
<p>The animal care and experimental procedures in this study were approved by the Animal Ethics Committee of the Jiangxi Agricultural University (JXAULL-2021-036).</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>CL, KO, and QQ designed the experiments. CL and JZ carried out the experiments and performed the analysis. CL drafted the manuscript. YL, XZ, HL, KO, and QQ revised the manuscript. KL provided the feeding grounds for the experiment. All authors contributed to the article preparation and approved the submitted version.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>KL was employed by Ganzhou Lvlinwan Agriculture and Animal Husbandry Co. Ltd. The remaining 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="S9" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China (32160807 and 31560648), the Jiangxi Agriculture Research System (JXARS-13), and the Science and Technology Project of Education Department of Jiangxi Province (GJJ200451 and GJJ210405).</p>
</sec>
<ack><p>We appreciate assistance from our colleagues and collaborators.</p>
</ack>
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