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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">rbz</journal-id>
			<journal-title-group>
				<journal-title>Revista Brasileira de Zootecnia</journal-title>
				<abbrev-journal-title abbrev-type="publisher">R. Bras. Zootec.</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">1516-3598</issn>
			<issn pub-type="epub">1806-9290</issn>
			<publisher>
				<publisher-name>Sociedade Brasileira de Zootecnia</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="other">00604</article-id>
			<article-id pub-id-type="doi">10.37496/rbz5220220071</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Non-ruminants</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Metabolizable energy equivalence of guanidinoacetic acid in corn soybean meal-based broiler diets</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-1109-5212</contrib-id>
					<name>
						<surname>Salgado</surname>
						<given-names>Hallef Rieger</given-names>
					</name>
					<role>Investigation</role>
					<role>Methodology</role>
					<role>Writing – original draft</role>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-7671-9271</contrib-id>
					<name>
						<surname>Rocha</surname>
						<given-names>Gabriel Cipriano</given-names>
					</name>
					<role>Conceptualization</role>
					<role>Methodology</role>
					<role>Visualization</role>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-6175-5939</contrib-id>
					<name>
						<surname>Petrolli</surname>
						<given-names>Tiago Goulart</given-names>
					</name>
					<role>Methodology</role>
					<role>Writing – review &amp; editing</role>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-9903-4264</contrib-id>
					<name>
						<surname>Schmidt</surname>
						<given-names>Marlene</given-names>
					</name>
					<role>Conceptualization</role>
					<role>Methodology</role>
					<role>Supervision</role>
					<role>Validation</role>
					<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-6499-3177</contrib-id>
					<name>
						<surname>Rivera</surname>
						<given-names>Jose Antonio</given-names>
					</name>
					<role>Validation</role>
					<role>Visualization</role>
					<role>Writing – review &amp; editing</role>
					<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-8809-5996</contrib-id>
					<name>
						<surname>Nunes</surname>
						<given-names>Rayanne Andrade</given-names>
					</name>
					<role>Investigation</role>
					<role>Writing – original draft</role>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-7695-7760</contrib-id>
					<name>
						<surname>Borges</surname>
						<given-names>Samuel Oliveira</given-names>
					</name>
					<role>Investigation</role>
					<role>Writing – original draft</role>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-2282-3580</contrib-id>
					<name>
						<surname>Calderano</surname>
						<given-names>Arele Arlindo</given-names>
					</name>
					<role>Conceptualization</role>
					<role>Data curation</role>
					<role>Formal analysis</role>
					<role>Funding acquisition</role>
					<role>Investigation</role>
					<role>Methodology</role>
					<role>Project administration</role>
					<role>Resources</role>
					<role>Supervision</role>
					<role>Validation</role>
					<role>Visualization</role>
					<role>Writing – review &amp; editing</role>
					<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="c01"><sup>*</sup></xref>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<label>1</label>
				<institution content-type="orgname">Universidade Federal de Viçosa</institution>
				<institution content-type="orgdiv1">Departamento de Zootecnia</institution>
				<addr-line>
					<named-content content-type="city">Viçosa</named-content>
					<named-content content-type="state">MG</named-content>
				</addr-line>
				<country country="BR">Brasil</country>
				<institution content-type="original"> Universidade Federal de Viçosa, Departamento de Zootecnia, Viçosa, MG, Brasil.</institution>
			</aff>
			<aff id="aff2">
				<label>2</label>
				<institution content-type="orgname">Universidade Federal de Viçosa</institution>
				<institution content-type="orgdiv1">Laboratório Multiusuário de Biologia Muscular e Nutrigenômica</institution>
				<addr-line>
					<named-content content-type="city">Viçosa</named-content>
					<named-content content-type="state">MG</named-content>
				</addr-line>
				<country country="BR">Brasil</country>
				<institution content-type="original"> Universidade Federal de Viçosa, Laboratório Multiusuário de Biologia Muscular e Nutrigenômica, Viçosa, MG, Brasil.</institution>
			</aff>
			<aff id="aff3">
				<label>3</label>
				<institution content-type="orgname">Universidade do Oeste de Santa Catarina</institution>
				<institution content-type="orgdiv1">Departamento de Zootecnia</institution>
				<addr-line>
					<named-content content-type="city">Xanxerê</named-content>
					<named-content content-type="state">SC</named-content>
				</addr-line>
				<country country="BR">Brasil</country>
				<institution content-type="original"> Universidade do Oeste de Santa Catarina, Departamento de Zootecnia, Xanxerê, SC, Brasil.</institution>
			</aff>
			<aff id="aff4">
				<label>4</label>
				<institution content-type="orgname">NutriQuest Nutrição Animal</institution>
				<addr-line>
					<named-content content-type="city">Campinas</named-content>
					<named-content content-type="state">SP</named-content>
				</addr-line>
				<country country="BR">Brasil</country>
				<institution content-type="original"> NutriQuest Nutrição Animal, Campinas, SP, Brasil.</institution>
			</aff>
			<aff id="aff5">
				<label>5</label>
				<institution content-type="orgname">AlzChem GmbH</institution>
				<addr-line>
					<named-content content-type="city">Trostberg</named-content>
				</addr-line>
				<country country="DE">Germany</country>
				<institution content-type="original"> AlzChem GmbH, Trostberg, Germany.</institution>
			</aff>
			<author-notes>
				<corresp id="c01">
					<label>*</label> Corresponding author: <email>calderano@ufv.br</email>
				</corresp>
				<fn fn-type="conflict">
					<p>Conflict of Interest</p>
					<p>The authors declare no conflict of interest.</p>
				</fn>
			</author-notes>
			<pub-date date-type="pub" publication-format="electronic">
				<day>06</day>
				<month>04</month>
				<year>2023</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic">
				<year>2023</year>
			</pub-date>
			<volume>52</volume>
			<elocation-id>e20220071</elocation-id>
			<history>
				<date date-type="received">
					<day>18</day>
					<month>05</month>
					<year>2022</year>
				</date>
				<date date-type="accepted">
					<day>3</day>
					<month>02</month>
					<year>2023</year>
				</date>
			</history>
			<permissions>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
					<license-p> This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. </license-p>
				</license>
			</permissions>
			<abstract>
				<title>ABSTRACT</title>
				<p>In this study, we evaluated how guanidinoacetic acid (GAA) addition in diets with various metabolizable energy (ME) contents affects the performance of broiler chickens. We also estimated the equivalence of GAA in ME. We distributed 1,280 one-day-old broilers in a completely randomized design with eight treatments, eight replicates, and twenty birds per experimental unit. Treatments were based on ME levels (2,775-2,875-2,975 kcal/kg; 2,850-2,950-3,050 kcal/kg; 2,925-3,025-3,125 kcal/kg; or 3,000-3,100-3,200 kcal/kg, from 1 to 7, 8 to 21, and 22 to 42 days of age) and the inclusion of GAA (0 or 600 mg/kg). Supplementation of GAA increased weight gain in broilers at an energy level of 2,908 kcal/kg and improved feed conversion ratio (FCR) at energy levels of 2,908 and 2,983 kcal/kg. There was a linear reduction in feed intake and an improvement in FCR of broilers with increasing levels of energy in diets, with and without GAA addition. Solving the equivalence equation, by applying each of the weighted average energy levels studied. indicates the GAA equivalence of 133, 103, 74, and 44 kcal/kg of diet. In conclusion, GAA supplementation improves broilers’ efficiency of energy use; the average ME equivalence of 600 mg/kg of GAA is 88.5 kcal/kg.</p>
			</abstract>
			<kwd-group xml:lang="en">
				<kwd>birds</kwd>
				<kwd>creatine</kwd>
				<kwd>performance</kwd>
			</kwd-group>
			<counts>
				<fig-count count="0"/>
				<table-count count="6"/>
				<equation-count count="4"/>
				<ref-count count="25"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>1. Introduction</title>
			<p>Guanidinoacetic acid (GAA), the common name of N-(aminoimino-methyl)-glycine, is the precursor to creatine, which, together with phosphocreatine, is inextricably involved in cellular energy metabolism through adenosine triphosphate (ATP) regeneration (<xref ref-type="bibr" rid="B20">Portocarero and Braun, 2021</xref>). Guanidinoacetic acid is methylated to creatine by the action of enzyme S-adenosylL-methionine:N-guanidino acetate methyltransferase, which, in poultry, is also expressed in the kidneys as well as in the liver (<xref ref-type="bibr" rid="B23">Van Pilsum et al., 1972</xref>). The GAA supplementation to broilers has been found to promote growth performance, enhance breast meat yield, and improve feed conversion ratio (FCR; Oviedo-Rondón and Córdova-Noboa, 2020; <xref ref-type="bibr" rid="B25">Zarghi et al., 2020</xref>; <xref ref-type="bibr" rid="B8">de Souza et al., 2021</xref>). These effects may be partially related to significant increases in high-phosphate energy metabolites in muscle (<xref ref-type="bibr" rid="B6">DeGroot et al., 2018</xref>; <xref ref-type="bibr" rid="B14">Majdeddin et al., 2020</xref>). In addition, improvements in energy utilization by birds have been linked to better feed utilization (<xref ref-type="bibr" rid="B12">Khajali et al., 2020</xref>).</p>
			<p><italic>De novo</italic> synthesis of GAA requires amino acids glycine and arginine as precursors. Several studies on broilers have been performed to explore the potential of GAA as a “spare” of arginine (<xref ref-type="bibr" rid="B2">Ale Saheb Fosoul et al., 2019</xref>; <xref ref-type="bibr" rid="B7">DeGroot et al., 2019</xref>). Other studies have demonstrated that GAA supplementation can improve the energy use efficiency in broilers (<xref ref-type="bibr" rid="B15">Mousavi et al., 2013</xref>; <xref ref-type="bibr" rid="B1">Ale Saheb Fosoul et al., 2018</xref>). In poultry feed, energy is the most expensive component, accounting for 70% of feed cost (<xref ref-type="bibr" rid="B19">Pirgozliev and Rose, 1999</xref>; <xref ref-type="bibr" rid="B17">Noblet et al., 2022</xref>). Nevertheless, according to <xref ref-type="bibr" rid="B12">Khajali et al. (2020)</xref>, the GAA equivalence in metabolizable energy (ME) in diets for broilers needs to be determined. The first studies with reduced energy in diets for broilers showed that GAA supplementation can contribute the equivalent of 47.8 kcal/kg ME (<xref ref-type="bibr" rid="B3">Çenesiz et al., 2020</xref>) and 50.0 kcal/kg ME (<xref ref-type="bibr" rid="B4">Ceylan et al. 2021</xref>).</p>
			<p>In this study, we hypothesized that GAA supplementation may improve the energy use efficiency and, consequently, the performance of broilers. Therefore, we evaluated how GAA addition in diets with various energy contents affects the performance of broiler chickens; we also estimated an equivalence in ME of GAA.</p>
		</sec>
		<sec sec-type="materials|methods">
			<title>2. Material and Methods</title>
			<sec>
				<title>2.1. Ethical matters</title>
				<p>The Institutional Animal Care and Use Committee approved all animal handling procedures (case number 34/2020), and the experiment was conducted according to the experimental protocol for the use of live birds from the Brazilian College of Animal Experimentation.</p>
			</sec>
			<sec>
				<title>2.2. Birds, experimental design, and diets</title>
				<p>The experiment was conducted in Viçosa, MG, Brazil (20°45'57.19&quot; S, 42°51'35.42&quot; W, and 682 m altitude). The male broiler chickens (Cobb 500) used in the experiment were obtained from a commercial hatchery (Rivelli Alimentos SA, Matheus Leme, MG, Brazil). The chicks were vaccinated against bursal disease and Marek’s disease (Serotype 3, Live Marek’s Disease Vector, Merial Inc., Athens, GA).</p>
				<p>Based on their body weight, we assigned a total of 1,280 one-day-old broilers to a completely randomized design with eight treatments, eight repetitions, and twenty birds per experimental unit. The birds were housed in 64 floor pens (2 m<sup>2</sup>), each equipped with four nipple drinkers and a feed dispenser.</p>
				<p>Corn-soybean meal-based diets were formulated to meet the nutritional recommendations given by <xref ref-type="bibr" rid="B21">Rostagno et al. (2017)</xref> according to phase, except for ME levels (<xref ref-type="table" rid="t1">Table 1</xref>). Basal diets contained 2,775, 2,875, and 2,975 kcal/kg in the phases of 1 to 7, 8 to 21, and 22 to 42 days, respectively. Treatments were based on four ME levels per phase (<xref ref-type="table" rid="t2">Table 2</xref>) and the inclusion of 0 or 600 mg/kg GAA (CreAMINO<sup>®</sup>, minimum 96% GAA, AlzChem, Trostberg, Germany). The increases in the ME levels of the basal diets were 75, 150, and 225 kcal/kg based on the experimental treatments. These energy density increases were carried out exclusively with the addition of soybean oil instead of the inert. The addition of GAA to the experimental diets was also in place of the inert. The diets were prepared in mashed form. Birds had free access to water and feed throughout the experimental period (1 to 42 days of age), and were exposed to 24 h of light from ages 1–14 days old, after which an 18 h light:6 h dark cycle was implemented until the end of the experiment.</p>
				<p>
					<table-wrap id="t1">
						<label>Table 1</label>
						<caption>
							<title>Ingredients and nutrient composition of basal diets (as fed basis)</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left" rowspan="3" style="font-weight:normal">Ingredient (g/kg)</th>
									<th colspan="3" style="font-weight:normal">Age (days)</th>
								</tr>
								<tr>
									<th colspan="3" style="font-weight:normal">
										<hr/>
									</th>
								</tr>
								<tr>
									<th style="font-weight:normal">1 to 7</th>
									<th style="font-weight:normal">8 to 21</th>
									<th style="font-weight:normal">22 to 42</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td>Corn</td>
									<td align="center">459.46</td>
									<td align="center">493.24</td>
									<td align="center">596.75</td>
								</tr>
								<tr>
									<td>Soybean meal</td>
									<td align="center">447.01</td>
									<td align="center">410.72</td>
									<td align="center">317.33</td>
								</tr>
								<tr>
									<td>Soybean oil</td>
									<td align="center">21.81</td>
									<td align="center">29.92</td>
									<td align="center">25.72</td>
								</tr>
								<tr>
									<td>Dicalcium phosphate</td>
									<td align="center">19.97</td>
									<td align="center">16.83</td>
									<td align="center">13.24</td>
								</tr>
								<tr>
									<td>Limestone</td>
									<td align="center">9.56</td>
									<td align="center">8.39</td>
									<td align="center">6.92</td>
								</tr>
								<tr>
									<td>Salt</td>
									<td align="center">5.38</td>
									<td align="center">5.16</td>
									<td align="center">4.80</td>
								</tr>
								<tr>
									<td>DL-Methionine, 999 g/kg</td>
									<td align="center">3.54</td>
									<td align="center">3.25</td>
									<td align="center">2.68</td>
								</tr>
								<tr>
									<td>L-Lysine HCl, 780 g/kg</td>
									<td align="center">1.81</td>
									<td align="center">1.53</td>
									<td align="center">2.02</td>
								</tr>
								<tr>
									<td>Vitamin premix<sup>1</sup></td>
									<td align="center">1.50</td>
									<td align="center">1.30</td>
									<td align="center">1.20</td>
								</tr>
								<tr>
									<td>Trace mineral premix<sup>2</sup></td>
									<td align="center">1.40</td>
									<td align="center">1.20</td>
									<td align="center">1.00</td>
								</tr>
								<tr>
									<td>Choline chloride, 600 g/kg</td>
									<td align="center">1.00</td>
									<td align="center">1.00</td>
									<td align="center">0.80</td>
								</tr>
								<tr>
									<td>L-Threonine, 985 g/kg</td>
									<td align="center">0.66</td>
									<td align="center">0.58</td>
									<td align="center">0.53</td>
								</tr>
								<tr>
									<td>L-Valine, 990 g/kg</td>
									<td align="center">0.15</td>
									<td align="center">0.13</td>
									<td align="center">0.26</td>
								</tr>
								<tr>
									<td>Coccidiostatic<sup>3</sup></td>
									<td align="center">0.55</td>
									<td align="center">0.55</td>
									<td align="center">0.55</td>
								</tr>
								<tr>
									<td>Inert</td>
									<td align="center">26.20</td>
									<td align="center">26.20</td>
									<td align="center">26.20</td>
								</tr>
								<tr>
									<td>Calculated composition (g/kg, unless shown)</td>
									<td> </td>
									<td> </td>
									<td> </td>
								</tr>
								<tr>
									<td>Metabolizable energy (kcal/kg)</td>
									<td align="center">2,775</td>
									<td align="center">2,875</td>
									<td align="center">2,975</td>
								</tr>
								<tr>
									<td>Crude protein</td>
									<td align="center">243.4</td>
									<td align="center">229.1</td>
									<td align="center">195.0</td>
								</tr>
								<tr>
									<td>Calcium</td>
									<td align="center">10.11</td>
									<td align="center">8.78</td>
									<td align="center">7.05</td>
								</tr>
								<tr>
									<td>Available phosphorus</td>
									<td align="center">4.82</td>
									<td align="center">4.19</td>
									<td align="center">3.41</td>
								</tr>
								<tr>
									<td>Sodium</td>
									<td align="center">2.27</td>
									<td align="center">2.18</td>
									<td align="center">2.30</td>
								</tr>
								<tr>
									<td>Digestible glycine + serine</td>
									<td align="center">19.65</td>
									<td align="center">18.46</td>
									<td align="center">15.49</td>
								</tr>
								<tr>
									<td>Digestible lysine</td>
									<td align="center">13.64</td>
									<td align="center">12.56</td>
									<td align="center">10.77</td>
								</tr>
								<tr>
									<td>Digestible methionine + cysteine</td>
									<td align="center">9.89</td>
									<td align="center">9.29</td>
									<td align="center">7.97</td>
								</tr>
								<tr>
									<td>Digestible valine</td>
									<td align="center">10.29</td>
									<td align="center">9.67</td>
									<td align="center">8.29</td>
								</tr>
								<tr>
									<td>Digestible threonine</td>
									<td align="center">8.82</td>
									<td align="center">8.29</td>
									<td align="center">7.11</td>
								</tr>
								<tr>
									<td>Digestible tryptophan</td>
									<td align="center">2.82</td>
									<td align="center">2.64</td>
									<td align="center">2.17</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN1">
								<p><sup>1</sup> Vitamin premix per kilogram contained: vitamin A, 9,637,000 IU; vitamin D3, 2,409,000 IU; vitamin E, 36,100 IU; vitamin K3, 1,930 mg; vitamin B1, 2,590 mg; vitamin B12, 15.9 mg; vitamin B6, 3,610 mg; vitamin B5, 12.95 g; vitamin B3, 39.2 g; vitamin B9, 903 mg; biotin, 89.8 mg.</p>
							</fn>
							<fn id="TFN2">
								<p><sup>2</sup> Trace mineral premix per kilogram contained: Mn, 58.36 g; Zn, 54.21 g; Fe, 41.68 g; Cu, 8.31 g; I, 843 mg; Se, 250 mg.</p>
							</fn>
							<fn id="TFN3">
								<p><sup>3</sup> Salinomycin 12%.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>
					<table-wrap id="t2">
						<label>Table 2</label>
						<caption>
							<title>Experimental treatments</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left" rowspan="3" style="font-weight:normal">Guanidinoacetic acid (mg/kg)</th>
									<th colspan="3" style="font-weight:normal">Age (days)</th>
									<th rowspan="3" style="font-weight:normal">Weighted average 1 to 42</th>
								</tr>
								<tr>
									<th colspan="3" style="font-weight:normal">
										<hr/>
									</th>
								</tr>
								<tr>
									<th style="font-weight:normal">1 to 7</th>
									<th style="font-weight:normal">8 to 21</th>
									<th style="font-weight:normal">22 to 42</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td>0</td>
									<td align="center">2,775 kcal</td>
									<td align="center">2,875 kcal</td>
									<td align="center">2,975 kcal</td>
									<td align="center">2,908 kcal</td>
								</tr>
								<tr>
									<td>0</td>
									<td align="center">2,850 kcal</td>
									<td align="center">2,950 kcal</td>
									<td align="center">3,050 kcal</td>
									<td align="center">2,983 kcal</td>
								</tr>
								<tr>
									<td>0</td>
									<td align="center">2,925 kcal</td>
									<td align="center">3,025 kcal</td>
									<td align="center">3,125 kcal</td>
									<td align="center">3,058 kcal</td>
								</tr>
								<tr>
									<td>0</td>
									<td align="center">3,000 kcal</td>
									<td align="center">3,100 kcal</td>
									<td align="center">3,200 kcal</td>
									<td align="center">3,133 kcal</td>
								</tr>
								<tr>
									<td>600</td>
									<td align="center">2,775 kcal</td>
									<td align="center">2,875 kcal</td>
									<td align="center">2,975 kcal</td>
									<td align="center">2,908 kcal</td>
								</tr>
								<tr>
									<td>600</td>
									<td align="center">2,850 kcal</td>
									<td align="center">2,950 kcal</td>
									<td align="center">3,050 kcal</td>
									<td align="center">2,983 kcal</td>
								</tr>
								<tr>
									<td>600</td>
									<td align="center">2,925 kcal</td>
									<td align="center">3,025 kcal</td>
									<td align="center">3,125 kcal</td>
									<td align="center">3,058 kcal</td>
								</tr>
								<tr>
									<td>600</td>
									<td align="center">3,000 kcal</td>
									<td align="center">3,100 kcal</td>
									<td align="center">3,200 kcal</td>
									<td align="center">3,133 kcal</td>
								</tr>
							</tbody>
						</table>
					</table-wrap>
				</p>
			</sec>
			<sec>
				<title>2.3. Performance and carcass characteristics</title>
				<p>Birds and feed leftovers, were weighed at 42 days of age to calculate feed intake (FI), weight gain (WG), and FCR. Mortalities were recorded throughout the experimental period, and the necessary corrections of performance data were calculated.</p>
				<p>At 42 days old, two birds with weights closest to the average weight of their respective experimental unit were selected. After 8 h of fasting, these broilers were euthanized and slaughtered to measure the yield of carcass, breast, and thigh with drumstick, as well as the relative weight of abdominal fat. Carcass yield was calculated in relation to living weight before slaughter (carcass weight × 100/live weight) and breast and thigh with drumstick yield as a function of carcass weight (part weight × 100/carcass weight). The relative weight of abdominal fat was calculated in relation to the birds’ live weight before slaughter.</p>
			</sec>
			<sec>
				<title>2.4. Statistical analysis and ME equivalence calculations</title>
				<p>For each variable, the analysis of variance was performed according to the following general model:</p>
				<disp-formula id="e1">
					<mml:math>
						<mml:msub>
							<mml:mi>Y</mml:mi>
							<mml:mrow>
								<mml:mi>i</mml:mi>
								<mml:mi>j</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:mo>=</mml:mo>
						<mml:mi>μ</mml:mi>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mi>α</mml:mi>
							<mml:mi>i</mml:mi>
						</mml:msub>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mi>ε</mml:mi>
							<mml:mrow>
								<mml:mi>i</mml:mi>
								<mml:mi>j</mml:mi>
							</mml:mrow>
						</mml:msub>
					</mml:math>
					<label>(1)</label>
				</disp-formula>
				<p>in which Y<sub>ij</sub> is the measured dependent variable, μ is the overall mean, α<sub>i</sub> is the effect of treatments, and ε<sub>ij</sub> is the random error.</p>
				<p>Analyses were carried out using the PROC GLM of SAS (Statistical Analysis System, version 9.4). The significance of the effects was tested at the 5% probability level. To assess the effect of including GAA at each energy level, contrast analyses were performed. Linear equations for energy levels with or without GAA supplementation were also estimated using the PROC REG of SAS. Significance for each of the regression model parameters was tested at the 5% probability level using Student’s t test.</p>
				<p>The ME equivalence of the GAA was estimated with a methodology adapted from <xref ref-type="bibr" rid="B11">Jendza et al. (2006)</xref> and <xref ref-type="bibr" rid="B22">Stefanello et al. (2017)</xref>. Linear effects of increasing ME in diets with or without GAA addition were tested. Regression equations of ME levels were generated for FCR, and an equivalence equation was obtained by equating the two linear equations estimated as follows:</p>
				<disp-formula id="e2">
					<mml:math>
						<mml:mrow>
							<mml:mi>Y</mml:mi>
						</mml:mrow>
						<mml:mo>=</mml:mo>
						<mml:mrow>
							<mml:mi>a</mml:mi>
						</mml:mrow>
						<mml:mo>+</mml:mo>
						<mml:mrow>
							<mml:mi>b</mml:mi>
							<mml:mi>X</mml:mi>
						</mml:mrow>
						<mml:msub>
							<mml:mrow>
								<mml:mi>X</mml:mi>
							</mml:mrow>
							<mml:mn>1</mml:mn>
						</mml:msub>
						<mml:mtext> (FCR response according to ME levels in diets with GAA) </mml:mtext>
					</mml:math>
					<label>(2)</label>
				</disp-formula>
				<disp-formula id="e3">
					<mml:math>
						<mml:mrow>
							<mml:mi>Y</mml:mi>
						</mml:mrow>
						<mml:mo>=</mml:mo>
						<mml:mrow>
							<mml:mi>a</mml:mi>
						</mml:mrow>
						<mml:mo>+</mml:mo>
						<mml:mrow>
							<mml:mi>b</mml:mi>
							<mml:mi>X</mml:mi>
						</mml:mrow>
						<mml:msub>
							<mml:mrow>
								<mml:mi>X</mml:mi>
							</mml:mrow>
							<mml:mn>2</mml:mn>
						</mml:msub>
						<mml:mtext> (FCR response according to ME levels in diets without GAA) </mml:mtext>
					</mml:math>
					<label>(3)</label>
				</disp-formula>
				<p>Equivalence equation:</p>
				<disp-formula id="e4">
					<mml:math>
						<mml:mrow>
							<mml:mi>a</mml:mi>
						</mml:mrow>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mrow>
								<mml:mi>b</mml:mi>
								<mml:mi>X</mml:mi>
							</mml:mrow>
							<mml:mn>2</mml:mn>
						</mml:msub>
						<mml:mo>=</mml:mo>
						<mml:mrow>
							<mml:mi>a</mml:mi>
						</mml:mrow>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mrow>
								<mml:mi>b</mml:mi>
								<mml:mi>X</mml:mi>
							</mml:mrow>
							<mml:mn>1</mml:mn>
						</mml:msub>
					</mml:math>
					<label>(4)</label>
				</disp-formula>
				<p>in which Y is the FCR response; X<sub>1</sub> is the ME level in diets with GAA; X<sub>2</sub> is the ME level in diets without GAA; a is the intercept in each respective equation; and b is the slope in each respective equation.</p>
				<p>The equivalence equation was solved by substituting the weighted average energy levels studied in X<sub>1</sub> and obtaining X<sub>2</sub>. The equivalence in ME of the GAA was estimated at each energy level studied by subtracting X<sub>1</sub> from X<sub>2</sub>, and the average of the estimates was calculated.</p>
			</sec>
		</sec>
		<sec sec-type="results">
			<title>3. Results</title>
			<p>There was no effect of GAA supplementation on the FI of broilers at any energy level studied (P&gt;0.05; <xref ref-type="table" rid="t3">Table 3</xref>). However, GAA supplementation increased the WG of broilers at the energy level of 2,908 kcal/kg (P = 0.036) and improved the FCR at the energy levels of 2,908 kcal/kg (P = 0.004) and 2,983 kcal/kg (P = 0.049). Regarding the energy levels, there was a linear reduction in the FI of broilers with increasing levels of energy in the diets without (P = 0.015) and with (P = 0.018) GAA addition (<xref ref-type="table" rid="t4">Table 4</xref>). The FCR improved linearly with increasing levels of energy in the diets without (P&lt;0.001) and with (P = 0.008) GAA. Solving the equivalence equation (by applying the weighted average energy levels studied) indicates that the ME equivalence of GAA were 133, 103, 74, and 44 kcal/kg of diet, with an average equivalence of 88.5 kcal/kg (<xref ref-type="table" rid="t5">Table 5</xref>).</p>
			<p>
				<table-wrap id="t3">
					<label>Table 3</label>
					<caption>
						<title>Growth performance of broiler chickens from 1 to 42 days of age</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="left" rowspan="3" style="font-weight:normal"> </th>
								<th rowspan="3" style="font-weight:normal">GAA (mg/kg)</th>
								<th colspan="4" style="font-weight:normal">Energy level (kcal/kg)<sup>1</sup></th>
								<th rowspan="3" style="font-weight:normal">Linear P-value</th>
							</tr>
							<tr>
								<th colspan="4" style="font-weight:normal">
									<hr/>
								</th>
							</tr>
							<tr>
								<th style="font-weight:normal">2,908</th>
								<th style="font-weight:normal">2,983</th>
								<th style="font-weight:normal">3,058</th>
								<th style="font-weight:normal">3,133</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td>FI (kg/bird)</td>
								<td align="center">0</td>
								<td align="center">5.246</td>
								<td align="center">5.208</td>
								<td align="center">5.134</td>
								<td align="center">5.122</td>
								<td align="center">0.015</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">600</td>
								<td align="center">5.234</td>
								<td align="center">5.169</td>
								<td align="center">5.140</td>
								<td align="center">5.100</td>
								<td align="center">0.018</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">SEM</td>
								<td align="center">0.025</td>
								<td align="center">0.035</td>
								<td align="center">0.030</td>
								<td align="center">0.021</td>
								<td> </td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">P-value</td>
								<td align="center">0.805</td>
								<td align="center">0.585</td>
								<td align="center">0.921</td>
								<td align="center">0.603</td>
								<td> </td>
							</tr>
							<tr>
								<td>WG (kg/bird)</td>
								<td align="center">0</td>
								<td align="center">3.026b</td>
								<td align="center">3.062</td>
								<td align="center">3.084</td>
								<td align="center">3.106</td>
								<td align="center">0.069</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">600</td>
								<td align="center">3.115a</td>
								<td align="center">3.117</td>
								<td align="center">3.116</td>
								<td align="center">3.139</td>
								<td align="center">0.605</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">SEM</td>
								<td align="center">0.019</td>
								<td align="center">0.031</td>
								<td align="center">0.020</td>
								<td align="center">0.016</td>
								<td> </td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">P-value</td>
								<td align="center">0.036</td>
								<td align="center">0.391</td>
								<td align="center">0.423</td>
								<td align="center">0.314</td>
								<td> </td>
							</tr>
							<tr>
								<td>FCR</td>
								<td align="center">0</td>
								<td align="center">1.734a</td>
								<td align="center">1.701a</td>
								<td align="center">1.665</td>
								<td align="center">1.649</td>
								<td align="center">&lt;0.001</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">600</td>
								<td align="center">1.680b</td>
								<td align="center">1.658b</td>
								<td align="center">1.650</td>
								<td align="center">1.625</td>
								<td align="center">0.008</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">SEM</td>
								<td align="center">0.008</td>
								<td align="center">0.010</td>
								<td align="center">0.014</td>
								<td align="center">0.008</td>
								<td> </td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">P-value</td>
								<td align="center">0.004</td>
								<td align="center">0.049</td>
								<td align="center">0.567</td>
								<td align="center">0.135</td>
								<td> </td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN4">
							<p>GAA - guanidinoacetic acid; FI - feed intake; WG - body weight gain; FCR - feed conversion ratio; SEM - standard error of the mean (n = 8 for treatment).</p>
						</fn>
						<fn id="TFN5">
							<p><sup>1</sup> Metabolizable energy weighted average calculated from the following values: 2,775-2,875-2,975 kcal/kg; 2,850-2,950-3,050 kcal/kg; 2,925-3,025-3,125 kcal/kg; 3,000-3,100-3,200 kcal/kg, from 1 to 7, 8 to 21, and 22 to 42 days of age, respectively.</p>
						</fn>
						<fn id="TFN6">
							<p>Means within each column followed by different letters differ by Tukey's test (P&lt;0.05).</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</p>
			<p>
				<table-wrap id="t4">
					<label>Table 4</label>
					<caption>
						<title>Linear regression equations estimated for each variable on the response of energy levels with or without guanidinoacetic acid (GAA) supplementation</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="left" style="font-weight:normal"> </th>
								<th style="font-weight:normal">GAA (mg/kg)</th>
								<th style="font-weight:normal">Regression equation</th>
								<th style="font-weight:normal">SE intercept</th>
								<th style="font-weight:normal">P-value intercept</th>
								<th style="font-weight:normal">SE slope</th>
								<th style="font-weight:normal">P-value slope</th>
								<th style="font-weight:normal">r<sup>2</sup></th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td>FI</td>
								<td align="center">600</td>
								<td align="center">
									<inline-formula>
										<mml:math>
											<mml:mi>Y</mml:mi>
											<mml:mo>=</mml:mo>
											<mml:mn>6.89883</mml:mn>
											<mml:mo>−</mml:mo>
											<mml:mn>0.0005755</mml:mn>
											<mml:msub>
												<mml:mi>X</mml:mi>
												<mml:mn>1</mml:mn>
											</mml:msub>
										</mml:math>
									</inline-formula>
								</td>
								<td align="center">0.69392</td>
								<td align="center">&lt;0.001</td>
								<td align="center">0.00022965</td>
								<td align="center">0.018</td>
								<td align="center">0.17</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">0</td>
								<td align="center">
									<inline-formula>
										<mml:math>
											<mml:mrow>
												<mml:mi>Y</mml:mi>
											</mml:mrow>
											<mml:mo>=</mml:mo>
											<mml:mn>6.97577</mml:mn>
											<mml:mo>−</mml:mo>
											<mml:mn>0.00059533</mml:mn>
											<mml:msub>
												<mml:mrow>
													<mml:mi>X</mml:mi>
												</mml:mrow>
												<mml:mn>2</mml:mn>
											</mml:msub>
										</mml:math>
									</inline-formula>
								</td>
								<td align="center">0.69719</td>
								<td align="center">&lt;0.001</td>
								<td align="center">0.00023073</td>
								<td align="center">0.015</td>
								<td align="center">0.18</td>
							</tr>
							<tr>
								<td>FCR</td>
								<td align="center">600</td>
								<td align="center">
									<inline-formula>
										<mml:math>
											<mml:mrow>
												<mml:mi>Y</mml:mi>
											</mml:mrow>
											<mml:mo>=</mml:mo>
											<mml:mn>2.36209</mml:mn>
											<mml:mo>−</mml:mo>
											<mml:mn>0.0002345</mml:mn>
											<mml:msub>
												<mml:mrow>
													<mml:mi>X</mml:mi>
												</mml:mrow>
												<mml:mn>1</mml:mn>
											</mml:msub>
										</mml:math>
									</inline-formula>
								</td>
								<td align="center">0.24917</td>
								<td align="center">&lt;0.001</td>
								<td align="center">0.00008246</td>
								<td align="center">0.008</td>
								<td align="center">0.21</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">0</td>
								<td align="center">
									<inline-formula>
										<mml:math>
											<mml:mrow>
												<mml:mi>Y</mml:mi>
											</mml:mrow>
											<mml:mo>=</mml:mo>
											<mml:mn>2.85391</mml:mn>
											<mml:mo>−</mml:mo>
											<mml:mn>0.000386</mml:mn>
											<mml:msub>
												<mml:mrow>
													<mml:mi>X</mml:mi>
												</mml:mrow>
												<mml:mn>2</mml:mn>
											</mml:msub>
										</mml:math>
									</inline-formula>
								</td>
								<td align="center">0.25028</td>
								<td align="center">&lt;0.001</td>
								<td align="center">0.00008283</td>
								<td align="center">&lt;0.001</td>
								<td align="center">0.42</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN7">
							<p>FI - feed intake; FCR - feed conversion ratio; SE - standard error.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</p>
			<p>
				<table-wrap id="t5">
					<label>Table 5</label>
					<caption>
						<title>Equivalence equation for feed conversion ratio (FCR) and to estimate the energy equivalence of guanidinoacetic acid (GAA)</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="left" scope="col" style="font-weight:normal">Equivalence equation for FCR<sup>1</sup></th>
								<th colspan="4" scope="col" style="font-weight:normal">Energy level (kcal/kg)</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left"> </td>
								<td align="center" colspan="4">X<sub>1</sub></td>
							</tr>
							<tr>
								<td align="left">
									<inline-formula>
										<mml:math>
											<mml:mn>2.85391</mml:mn>
											<mml:mo>−</mml:mo>
											<mml:mn>0.000386</mml:mn>
											<mml:msub>
												<mml:mrow>
													<mml:mi>X</mml:mi>
												</mml:mrow>
												<mml:mn>2</mml:mn>
											</mml:msub>
											<mml:mo>=</mml:mo>
											<mml:mn>2.36209</mml:mn>
											<mml:mo>−</mml:mo>
											<mml:mn>0.0002345</mml:mn>
											<mml:msub>
												<mml:mrow>
													<mml:mi>X</mml:mi>
												</mml:mrow>
												<mml:mn>1</mml:mn>
											</mml:msub>
										</mml:math>
									</inline-formula>
								</td>
								<td align="center">2,908</td>
								<td align="center">2,983</td>
								<td align="center">3,058</td>
								<td align="center">3,133</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center" colspan="4">X<sub>2</sub></td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">3,041</td>
								<td align="center">3,086</td>
								<td align="center">3,132</td>
								<td align="center">3,177</td>
							</tr>
							<tr>
								<td>Energy equivalence of GAA</td>
								<td align="center" colspan="4">X<sub>2</sub> – X<sub>1</sub></td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">133</td>
								<td align="center">103</td>
								<td align="center">74</td>
								<td align="center">44</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN8">
							<p><sup>1</sup> The equivalence equation was obtained by equating the two linear equations estimated to the FCR. The equivalence equation was solved by substituting the weighted average energy levels studied in X<sub>1</sub> and obtaining X<sub>2</sub>. The ME equivalence of the GAA was estimated at each level studied by subtracting X<sub>1</sub> from X<sub>2</sub>.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</p>
			<p>The carcass, breast and thighs with drumstick yield, and abdominal fat of the birds were not influenced by GAA supplementation at any energy level studied (P&gt;0.05; <xref ref-type="table" rid="t6">Table 6</xref>); these parameters were also unaffected by the energy levels in the diets (P&gt;0.05).</p>
			<p>
				<table-wrap id="t6">
					<label>Table 6</label>
					<caption>
						<title>Carcass yield, abdominal fat (% of live weight), breast, and thighs with drumstick (% of carcass) of broiler chickens at 42 days of age</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="left" rowspan="3" style="font-weight:normal"> </th>
								<th rowspan="3" style="font-weight:normal">GAA (mg/kg)</th>
								<th colspan="4" style="font-weight:normal">Energy level (kcal/kg)<sup>1</sup></th>
								<th rowspan="3" style="font-weight:normal">Linear P-value</th>
							</tr>
							<tr>
								<th colspan="4" style="font-weight:normal">
									<hr/>
								</th>
							</tr>
							<tr>
								<th style="font-weight:normal">2,908</th>
								<th style="font-weight:normal">2,983</th>
								<th style="font-weight:normal">3,058</th>
								<th style="font-weight:normal">3,133</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td>Carcass (%)</td>
								<td align="center">0</td>
								<td align="center">81.18</td>
								<td align="center">80.60</td>
								<td align="center">81.15</td>
								<td align="center">80.17</td>
								<td align="center">0.313</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">600</td>
								<td align="center">81.83</td>
								<td align="center">81.00</td>
								<td align="center">80.79</td>
								<td align="center">80.92</td>
								<td align="center">0.260</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">SEM</td>
								<td align="center">0.39</td>
								<td align="center">0.39</td>
								<td align="center">0.49</td>
								<td align="center">0.32</td>
								<td> </td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">P-value</td>
								<td align="center">0.419</td>
								<td align="center">0.617</td>
								<td align="center">0.718</td>
								<td align="center">0.262</td>
								<td> </td>
							</tr>
							<tr>
								<td>Breast (%)</td>
								<td align="center">0</td>
								<td align="center">37.11</td>
								<td align="center">37.32</td>
								<td align="center">35.67</td>
								<td align="center">36.04</td>
								<td align="center">0.373</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">600</td>
								<td align="center">37.34</td>
								<td align="center">37.17</td>
								<td align="center">36.95</td>
								<td align="center">36.69</td>
								<td align="center">0.071</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">SEM</td>
								<td align="center">0.34</td>
								<td align="center">0.42</td>
								<td align="center">0.52</td>
								<td align="center">0.31</td>
								<td> </td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">P-value</td>
								<td align="center">0.731</td>
								<td align="center">0.861</td>
								<td align="center">0.234</td>
								<td align="center">0.311</td>
								<td> </td>
							</tr>
							<tr>
								<td>Thighs with drumstick (%)</td>
								<td align="center">0</td>
								<td align="center">25.71</td>
								<td align="center">25.85</td>
								<td align="center">24.33</td>
								<td align="center">25.92</td>
								<td align="center">0.738</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">600</td>
								<td align="center">25.53</td>
								<td align="center">26.03</td>
								<td align="center">25.60</td>
								<td align="center">25.94</td>
								<td align="center">0.550</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">SEM</td>
								<td align="center">0.18</td>
								<td align="center">0.22</td>
								<td align="center">0.55</td>
								<td align="center">0.19</td>
								<td> </td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">P-value</td>
								<td align="center">0.617</td>
								<td align="center">0.692</td>
								<td align="center">0.263</td>
								<td align="center">0.962</td>
								<td> </td>
							</tr>
							<tr>
								<td>Abdominal fat (%)</td>
								<td align="center">0</td>
								<td align="center">0.76</td>
								<td align="center">0.80</td>
								<td align="center">0.89</td>
								<td align="center">0.83</td>
								<td align="center">0.312</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">600</td>
								<td align="center">0.81</td>
								<td align="center">0.79</td>
								<td align="center">0.75</td>
								<td align="center">0.81</td>
								<td align="center">0.968</td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">SEM</td>
								<td align="center">0.06</td>
								<td align="center">0.04</td>
								<td align="center">0.05</td>
								<td align="center">0.04</td>
								<td> </td>
							</tr>
							<tr>
								<td> </td>
								<td align="center">P-value</td>
								<td align="center">0.705</td>
								<td align="center">0.896</td>
								<td align="center">0.158</td>
								<td align="center">0.877</td>
								<td> </td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN9">
							<p>GAA - guanidinoacetic acid; SEM - standard error of the mean (n = 8 for treatment).</p>
						</fn>
						<fn id="TFN10">
							<p><sup>1</sup> Metabolizable energy weighted average calculated from the following values: 2,775-2,875-2,975 kcal/kg; 2,850-2,950-3,050 kcal/kg; 2,925-3,025-3,125 kcal/kg; 3,000-3,100-3,200 kcal/kg, from 1 to 7, 8 to 21, and 22 to 42 days of age, respectively.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</p>
		</sec>
		<sec sec-type="discussion">
			<title>4. Discussion</title>
			<p>In this study, we hypothesized that GAA supplementation may improve broilers’ energy use efficiency. This was confirmed by the improvement in WG and FCR of broilers fed diets with the two lower energy levels studied. According to the recommendations of the National Research Council (<xref ref-type="bibr" rid="B16">NRC, 1994</xref>), along with more recent standards adopted by the Brazilian Poultry Sector (<xref ref-type="bibr" rid="B21">Rostagno et al., 2017</xref>), these ME levels are a performance-limiting factor. The improvements in WG and FCR may be explained by higher creatine and phosphocreatine levels and higher ATP:ADP and phosphocreatine:ATP ratios in the muscles of broilers fed diets with GAA (<xref ref-type="bibr" rid="B24">Yazdi et al., 2017</xref>; <xref ref-type="bibr" rid="B6">DeGroot et al., 2018</xref>; <xref ref-type="bibr" rid="B14">Majdeddin et al., 2020</xref>); these improved parameters indicate more efficient energy metabolism. The phosphocreatine:ATP ratios in the breast muscles of broilers were reported to be 28.4 and 20.3 for those that received GAA at 600 mg/kg and for the control group, respectively (<xref ref-type="bibr" rid="B24">Yazdi et al., 2017</xref>). <xref ref-type="bibr" rid="B1">Ale Saheb Fosoul et al. (2018)</xref> reported that the enhancement in the buffering capacity for ATP in the muscles exerted by supplemental GAA affects the metabolism of energy in broiler chickens fed diets with energy reduction, resulting in an improved FCR. In addition to functioning directly in muscle accretion as the precursor to creatine, dietary GAA can also effectively “spare” arginine from being used for GAA synthesis, so that the arginine may be used for muscle accretion and other physiological functions (<xref ref-type="bibr" rid="B20">Portocarero and Braun, 2021</xref>). As in the present study, <xref ref-type="bibr" rid="B15">Mousavi et al. (2013)</xref> reported that GAA supplementation can potentially improve the FCR and energy efficiency of broilers.</p>
			<p>Previous study showed that the use of GAA improved the breast meat yield, but without effect on carcass and other cuts (<xref ref-type="bibr" rid="B5">Córdova-Noboa et al., 2018</xref>). In the present study, no effects of GAA were observed on carcass, breast, and thighs with drumstick yield. Similar results were observed by <xref ref-type="bibr" rid="B15">Mousavi et al. (2013)</xref>, who also evaluated the effect of GAA addition to diets containing different levels of ME.</p>
			<p>With increasing levels of ME in diets without and with GAA addition, the birds reduced their FI. This result was expected, based on the literature, because broilers may adjust their FI in response to their energy needs (<xref ref-type="bibr" rid="B13">Leeson et al. 1996</xref>; <xref ref-type="bibr" rid="B9">Hu et al., 2021</xref>). This is linked to metabolic signalization. <xref ref-type="bibr" rid="B10">Hu et al. (2019)</xref> reported that the central adenosine monophosphate-activated protein kinase signaling pathway and appetite are modulated in accordance with the energy level in the diet to regulate nutritional status and maintain energy homeostasis in broilers.</p>
			<p>With the reduction in FI and no effect on WG, the FCR of broilers improved with increasing levels of energy in the diets with and without GAA addition, in accordance with several reports (<xref ref-type="bibr" rid="B13">Leeson et al., 1996</xref>; <xref ref-type="bibr" rid="B1">Ale Saheb Fosoul et al., 2018</xref>; <xref ref-type="bibr" rid="B9">Hu et al., 2021</xref>). The FCR responses observed in this study suggest an average ME equivalence of 88.5 kcal/kg, different from the values of 47.8 kcal/kg ME (<xref ref-type="bibr" rid="B3">Çenesiz et al., 2020</xref>) and 50.0 kcal/kg ME (<xref ref-type="bibr" rid="B4">Ceylan et al., 2021</xref>) observed in studies with reduced energy in diets and the same GAA supplementation. However, further research is needed to validate this dietary ME in practical diets.</p>
		</sec>
		<sec sec-type="conclusions">
			<title>5. Conclusions</title>
			<p>Guanidinoacetic acid supplementation improves the energy use efficiency in broilers, and the average metabolizable energy equivalence of 600 mg/kg of guanidinoacetic acid is 88.5 kcal/kg. This is a prominent novel finding from our study.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgments</title>
			<p>The authors acknowledge the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).</p>
		</ack>
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