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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">00711</article-id>
			<article-id pub-id-type="doi">10.37496/rbz5320230162</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Non-ruminants</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Prebiotic composed of yeast (<italic>Saccharomyces cerevisiae</italic>) cell wall improves performance in broiler diets</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0009-0000-6360-6649</contrib-id>
					<name>
						<surname>Fornazier</surname>
						<given-names>Roberto</given-names>
					</name>
					<role>Data curation</role>
					<role>Formal analysis</role>
					<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">0000-0001-6317-9966</contrib-id>
					<name>
						<surname>Ribeiro</surname>
						<given-names>Valdir</given-names>
						<suffix>Junior</suffix>
					</name>
					<role>Data curation</role>
					<role>Investigation</role>
					<role>Methodology</role>
					<role>Writing – original draft</role>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-2753-2010</contrib-id>
					<name>
						<surname>Albino</surname>
						<given-names>Luiz Fernando Teixeira</given-names>
					</name>
					<role>Conceptualization</role>
					<role>Data curation</role>
					<role>Funding acquisition</role>
					<role>Investigation</role>
					<role>Methodology</role>
					<role>Project administration</role>
					<role>Resources</role>
					<role>Supervision</role>
					<role>Writing – original draft</role>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
					<xref ref-type="fn" rid="fn_ast1"><sup>†</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-3161-019X</contrib-id>
					<name>
						<surname>Tavernari</surname>
						<given-names>Fernando de Castro</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 – original draft</role>
					<role>Writing – review &amp; editing</role>
					<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
					<xref ref-type="corresp" rid="c01"><sup>*</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-8678-2415</contrib-id>
					<name>
						<surname>Feddern</surname>
						<given-names>Vivian</given-names>
					</name>
					<role>Investigation</role>
					<role>Writing – original draft</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">0000-0003-1309-1629</contrib-id>
					<name>
						<surname>Silva</surname>
						<given-names>Diego Ladeira da</given-names>
					</name>
					<role>Investigation</role>
					<role>Methodology</role>
					<role>Writing – original draft</role>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-5793-2464</contrib-id>
					<name>
						<surname>Serafini</surname>
						<given-names>Suélen</given-names>
					</name>
					<role>Investigation</role>
					<role>Methodology</role>
					<role>Writing – original draft</role>
					<xref ref-type="aff" rid="aff3"><sup>3</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>Writing – original draft</role>
					<role>Writing – review &amp; editing</role>
					<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-2715-9524</contrib-id>
					<name>
						<surname>Paiano</surname>
						<given-names>Diovani</given-names>
					</name>
					<role>Writing – original draft</role>
					<role>Writing – review &amp; editing</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>Writing – original draft</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">0000-0002-0950-4577</contrib-id>
					<name>
						<surname>Boiago</surname>
						<given-names>Marcel Manente</given-names>
					</name>
					<role>Writing – original draft</role>
					<role>Writing – review &amp; editing</role>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-3222-9718</contrib-id>
					<name>
						<surname>Rostagno</surname>
						<given-names>Horacio Santiago</given-names>
					</name>
					<role>Conceptualization</role>
					<role>Funding acquisition</role>
					<role>Investigation</role>
					<role>Supervision</role>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<label>1</label>
				<institution content-type="orgname">Universidade do Estado de Santa Catarina</institution>
				<institution content-type="orgdiv1">Departamento de Zootecnia</institution>
				<addr-line>
					<named-content content-type="city">Chapecó</named-content>
					<named-content content-type="state">SC</named-content>
				</addr-line>
				<country country="BR">Brasil</country>
				<institution content-type="original"> Universidade do Estado de Santa Catarina, Departamento de Zootecnia, Chapecó, SC, Brasil.</institution>
			</aff>
			<aff id="aff2">
				<label>2</label>
				<institution content-type="orgname">Universidade Federal de Sergipe</institution>
				<institution content-type="orgdiv1">Departamento de Zootecnia</institution>
				<addr-line>
					<named-content content-type="city">Nossa Senhora da Glória</named-content>
					<named-content content-type="state">SE</named-content>
				</addr-line>
				<country country="BR">Brasil</country>
				<institution content-type="original"> Universidade Federal de Sergipe, Departamento de Zootecnia, Nossa Senhora da Glória, SE, Brasil.</institution>
			</aff>
			<aff id="aff3">
				<label>3</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="aff4">
				<label>4</label>
				<institution content-type="orgname">Embrapa Suínos e Aves</institution>
				<addr-line>
					<named-content content-type="city">Concórdia</named-content>
					<named-content content-type="state">SC</named-content>
				</addr-line>
				<country country="BR">Brasil</country>
				<institution content-type="original"> Embrapa Suínos e Aves, Concórdia, SC, Brasil.</institution>
			</aff>
			<aff id="aff5">
				<label>5</label>
				<institution content-type="orgname">Embrapa Clima Temperado</institution>
				<addr-line>
					<named-content content-type="city">Pelotas</named-content>
					<named-content content-type="state">RS</named-content>
				</addr-line>
				<country country="BR">Brasil</country>
				<institution content-type="original"> Embrapa Clima Temperado, Pelotas, RS, Brasil.</institution>
			</aff>
			<aff id="aff6">
				<label>6</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>
			<author-notes>
				<corresp id="c01">
					<label>*</label>Corresponding author: <email>fernando.tavernari@embrapa.br</email>
				</corresp>
				<fn fn-type="edited-by">
					<p>Editors: Ines Andretta; Mahmoud Mohamed Alagawany</p>
				</fn>
				<fn fn-type="conflict">
					<p>Conflict of Interest</p>
					<p>The authors declare no conflict of interest.</p>
				</fn>
				<fn fn-type="deceased" id="fn_ast1">
					<label>†</label>
					<p><italic>In memoriam</italic>.</p>
				</fn>
			</author-notes>
			<pub-date date-type="pub" publication-format="electronic">
				<day>31</day>
				<month>07</month>
				<year>2024</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic">
				<year>2024</year>
			</pub-date>
			<volume>53</volume>
			<elocation-id>e20230162</elocation-id>
			<history>
				<date date-type="received">
					<day>7</day>
					<month>12</month>
					<year>2023</year>
				</date>
				<date date-type="accepted">
					<day>17</day>
					<month>03</month>
					<year>2024</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>This research aimed to evaluate the influence of a commercial prebiotic in different concentrations upon several parameters. To carry out the experiment, 640 male one-day-old broiler chicks were distributed in four treatments (0, 0.5, 1.0, and 1.5 kg/ton of yeast cell wall) with eight replicates of 20 birds per experimental unit, in randomized blocks. Prebiotic effects were assessed on performance, carcass yield and prime cuts, in addition to the litter quality (its content of nitrogen and phosphorus). There were significant improvements for weight gain and feed conversion ratio in experimental growth periods. However, prebiotic level at 1.0 kg/ton is enough to provide improvement in performance and similar yield parameters than the control group. Also, 1.5 kg/ton prebiotic inclusion in the diet promotes environmental benefits by reducing the phosphorus amount in the litter by 51%. Above 1.0 kg/ton prebiotic addition in broiler diets can be safely recommended, because it promotes both performance and environmental benefits.</p>
			</abstract>
			<kwd-group xml:lang="en">
				<kwd>broiler performance</kwd>
				<kwd>carcass yield</kwd>
				<kwd>chicken litter</kwd>
				<kwd>immune system</kwd>
				<kwd>MOS</kwd>
				<kwd>poultry feed</kwd>
			</kwd-group>
			<counts>
				<fig-count count="0"/>
				<table-count count="4"/>
				<equation-count count="2"/>
				<ref-count count="36"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>1. Introduction</title>
			<p>Intestinal health is a concept of great relevance in broiler production. It is directly linked to animal nutrition. The effects of diet on intestinal health are remarkable and influence the nutrient absorption. A healthy gut must be able to metabolize and absorb nutrients efficiently, reflecting on animal performance (<xref ref-type="bibr" rid="B20">Landy and Kavyani, 2013</xref>; <xref ref-type="bibr" rid="B16">Gibson et al., 2017</xref>; Dias et al., 2023).</p>
			<p>Functional oligosaccharides are non-digestible feed ingredients that provide several health benefits. Among these, mannan-oligosaccharides (MOS) are emerging prebiotics with potential bioactive properties and are opening up novel opportunities in the feed industry (<xref ref-type="bibr" rid="B19">Jana et al., 2021</xref>).</p>
			<p>Studies reported that prebiotics additives stimulate the growth and activity of probiotics, despite inhibiting pathogen activity in chicken, thereby attenuating the inflammatory response (<xref ref-type="bibr" rid="B28">Pourabedin et al., 2017</xref>; <xref ref-type="bibr" rid="B6">Biswas et al., 2019</xref>; <xref ref-type="bibr" rid="B15">Geng et al., 2023</xref>). As these substances are beneficial to intestinal bacteria, they alter the microbiota for the host, induce systemic effects (<xref ref-type="bibr" rid="B16">Gibson et al., 2017</xref>), and reduce environmental pollution (<xref ref-type="bibr" rid="B8">Chen, 2021</xref>).</p>
			<p>Prebiotics of different sources are being successfully applied to poultry (<xref ref-type="bibr" rid="B35">Wang et al., 2016</xref>; <xref ref-type="bibr" rid="B28">Pourabedin et al., 2017</xref>; <xref ref-type="bibr" rid="B6">Biswas et al., 2019</xref>; <xref ref-type="bibr" rid="B11">Elgeddawy et al., 2020</xref>; <xref ref-type="bibr" rid="B19">Jana et al., 2021</xref>; Nascimento and Marostica Junior, 2021; <xref ref-type="bibr" rid="B5">Asif et al., 2024</xref>). Yeast cell wall has MOS, which are claimed to benefit poultry gut. Several studies in the literature investigate the use of these substances as potential additives in replacement of growth promoters in animal nutrition (<xref ref-type="bibr" rid="B35">Wang et al., 2016</xref>; <xref ref-type="bibr" rid="B6">Biswas et al., 2019</xref>; <xref ref-type="bibr" rid="B1">Ahmed et al., 2023</xref>; <xref ref-type="bibr" rid="B21">Moawad et al., 2023</xref>; <xref ref-type="bibr" rid="B5">Asif et al., 2024</xref>).</p>
			<p>Yeast (<italic>Saccharomyces cerevisiae</italic>) cell wall from sugarcane is a prebiotic that has potential to be added in poultry feed (<xref ref-type="bibr" rid="B26">Pascual et al., 2020</xref>). The yeast wall has β-glucans and MOS that inhibit pathogenic bacteria (Aleris, 2023). However, the effect of this prebiotic in broiler diets depends on several factors such as the dosage used, the obtention process, their combination, the administration mode, and mainly the health challenge to which the animals are subjected (<xref ref-type="bibr" rid="B14">Gao et al., 2008</xref>).</p>
			<p>Scientific research about prebiotic incorporation in broiler diets can direct to more efficient and environmentally friendly poultry production systems by decreasing the dependence on antibiotics and improving broiler health. The positive outcomes may help the industry to adopt sustainable strategies to enhance animal rearing, at the same time improving animal welfare and environmental stewardship.</p>
			<p>In virtue of the facts mentioned above, this research aimed to provide valuable guidance for the commercial broiler production system by evaluating a commercial prebiotic additive composed of yeast (<italic>Saccharomyces cerevisiae</italic>) cell wall in the diets of broilers from 1 to 42 days of age by assessing performance and environmental parameters.</p>
		</sec>
		<sec sec-type="materials|methods">
			<title>2. Material and Methods</title>
			<sec>
				<title>2.1. Animals, management, and experimental design</title>
				<p>Research on animals was conducted according to the institutional committee on animal use (01/2016), in accordance with current Brazilian legislation.</p>
				<p>An experiment consisting of 640 one-day-old male Cobb-500 broiler chicks, with an initial weight of 40 g, was carried out in Viçosa, Minas Gerais, Brazil (20°45'57.19&quot; S, 42°51'35.42&quot; W, and 682 m altitude).</p>
				<p>The animals were distributed in a randomized block design with four treatments and eight replications of 20 birds each. The animals were housed in facilities of 3 m high, with a roof covered with asbestos cement tiles, 0.5 m low walls, and lateral insulation with a half-inch screen (1/2’’), adapted for the experiment. The animal boxes out of concrete floor represented the experimental units, measuring 1.3 × 1.7 m, featuring an area of 2.21 m<sup>2</sup>/box. As a challenge, no prior disinfection of the facility was carried out, and the birds were housed in reused shavings litter. During the first 24 h, the animals were subjected to water and feed fasting. Until the birds were 21 days old, water contaminated with excreta from a laying hen farm was provided twice a week. In each 20 L of water, 1 kg of litter was added; the mixture was stirred for 3 min and then given to the chickens for 24 h.</p>
				<p>The diets were formulated to meet the nutritional requirements of broilers (regular performance) at different rearing stages, according to the Brazilian Tables of Poultry and Swine (<xref ref-type="bibr" rid="B29">Rostagno et al., 2017</xref>) (<xref ref-type="table" rid="t1">Table 1</xref>). The diets differed according to the rearing phases: pre-starter (1–7 days), starter (8–21 days), and grower/finisher (22–42 days) phases.</p>
				<p>
					<table-wrap id="t1">
						<label>Table 1</label>
						<caption>
							<title>Composition of diets for three broiler phases</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup width="25%">
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left" style="font-weight:normal">Ingredient (%)</th>
									<th style="font-weight:normal">Pre-starter (1–7 days)</th>
									<th style="font-weight:normal">Starter (8–21 days)</th>
									<th style="font-weight:normal">Grower/Finisher (22–42 days)</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td>Corn</td>
									<td align="center">51.3</td>
									<td align="center">56.2</td>
									<td align="center">59.4</td>
								</tr>
								<tr>
									<td>Soybean meal (45%)</td>
									<td align="center">37.1</td>
									<td align="center">36.4</td>
									<td align="center">32.7</td>
								</tr>
								<tr>
									<td>Corn gluten meal (60%)</td>
									<td align="center">5.00</td>
									<td align="center">-</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>Soybean oil</td>
									<td align="center">2.00</td>
									<td align="center">3.30</td>
									<td align="center">4.17</td>
								</tr>
								<tr>
									<td>Limestone</td>
									<td align="center">0.92</td>
									<td align="center">0.91</td>
									<td align="center">0.86</td>
								</tr>
								<tr>
									<td>Dicalcium phosphate</td>
									<td align="center">1.91</td>
									<td align="center">1.52</td>
									<td align="center">1.28</td>
								</tr>
								<tr>
									<td>Salt</td>
									<td align="center">0.51</td>
									<td align="center">0.48</td>
									<td align="center">0.45</td>
								</tr>
								<tr>
									<td>Lysine HCl (79%)</td>
									<td align="center">0.28</td>
									<td align="center">0.17</td>
									<td align="center">0.16</td>
								</tr>
								<tr>
									<td>DL-Methionine (99%)</td>
									<td align="center">0.27</td>
									<td align="center">0.28</td>
									<td align="center">0.25</td>
								</tr>
								<tr>
									<td>L-Threonine (98%)</td>
									<td align="center">0.04</td>
									<td align="center">0.04</td>
									<td align="center">0.03</td>
								</tr>
								<tr>
									<td>Choline chloride (60%)</td>
									<td align="center">0.10</td>
									<td align="center">0.10</td>
									<td align="center">0.10</td>
								</tr>
								<tr>
									<td>Vitamin supplement (UFV<sup>1</sup>)</td>
									<td align="center">0.13</td>
									<td align="center">0.11</td>
									<td align="center">0.10</td>
								</tr>
								<tr>
									<td>Mineral supplement (UFV<sup>2</sup>)</td>
									<td align="center">0.13</td>
									<td align="center">0.11</td>
									<td align="center">0.10</td>
								</tr>
								<tr>
									<td>Anticoccidial (Salinomycin 12%)</td>
									<td align="center">0.05</td>
									<td align="center">0.05</td>
									<td align="center">0.05</td>
								</tr>
								<tr>
									<td>Butylhydroxytoluene (BHT) (3%)</td>
									<td align="center">0.01</td>
									<td align="center">0.01</td>
									<td align="center">0.01</td>
								</tr>
								<tr>
									<td>Inert (kaolin)</td>
									<td align="center">0.30</td>
									<td align="center">0.30</td>
									<td align="center">0.30</td>
								</tr>
								<tr>
									<td>Total</td>
									<td align="center">100</td>
									<td align="center">100</td>
									<td align="center">100</td>
								</tr>
								<tr>
									<td>Calculated values (%)</td>
									<td> </td>
									<td> </td>
									<td> </td>
								</tr>
								<tr>
									<td>Crude protein</td>
									<td align="center">24.4</td>
									<td align="center">21.2</td>
									<td align="center">19.7</td>
								</tr>
								<tr>
									<td>Metabolizable energy (kcal/kg)</td>
									<td align="center">2,950</td>
									<td align="center">3,050</td>
									<td align="center">3,150</td>
								</tr>
								<tr>
									<td>Calcium</td>
									<td align="center">0.92</td>
									<td align="center">0.82</td>
									<td align="center">0.73</td>
								</tr>
								<tr>
									<td>Available phosphorus</td>
									<td align="center">0.47</td>
									<td align="center">0.39</td>
									<td align="center">0.34</td>
								</tr>
								<tr>
									<td>Sodium</td>
									<td align="center">0.22</td>
									<td align="center">0.21</td>
									<td align="center">0.20</td>
								</tr>
								<tr>
									<td>Digestible lysine</td>
									<td align="center">1.31</td>
									<td align="center">1.17</td>
									<td align="center">1.08</td>
								</tr>
								<tr>
									<td>Digestible methionine + cystine</td>
									<td align="center">0.94</td>
									<td align="center">0.85</td>
									<td align="center">0.79</td>
								</tr>
								<tr>
									<td>Digestible methionine</td>
									<td align="center">0.61</td>
									<td align="center">0.58</td>
									<td align="center">0.51</td>
								</tr>
								<tr>
									<td>Digestible threonine</td>
									<td align="center">0.85</td>
									<td align="center">0.76</td>
									<td align="center">0.70</td>
								</tr>
								<tr>
									<td>Digestible tryptophan</td>
									<td align="center">0.26</td>
									<td align="center">0.24</td>
									<td align="center">0.22</td>
								</tr>
								<tr>
									<td>Digestible valine</td>
									<td align="center">1.03</td>
									<td align="center">0.90</td>
									<td align="center">0.84</td>
								</tr>
								<tr>
									<td>Digestible isoleucine</td>
									<td align="center">0.97</td>
									<td align="center">0.83</td>
									<td align="center">0.77</td>
								</tr>
								<tr>
									<td>Digestible arginine</td>
									<td align="center">1.44</td>
									<td align="center">1.35</td>
									<td align="center">1.24</td>
								</tr>
								<tr>
									<td>Digestible glycine + serotonin</td>
									<td align="center">1.98</td>
									<td align="center">1.78</td>
									<td align="center">1.65</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN1">
								<p>1 Vitamin supplement – guaranteed levels per kg of product: Vit. A, 8250 IU; Vit. D3, 2090 IU; Vit. E, 31.0 IU; Vit. B1, 2.20 mg; Vit. B2, 5.50 mg; Vit. B6, 3.08 mg; Vit. B12, 0.013 mg; pantothenic acid, 11.0 g; biotin, 0.077 mg; Vit. K3, 1.65 mg; folic acid, 0.77 mg; nicotinic acid, 33.0 mg; selenium, 0.330 mg;</p>
							</fn>
							<fn id="TFN2">
								<p>2 Mineral supplement – guaranteed levels per kg of feed: iron, 55.0 mg; copper, 11.0 mg; manganese, 77.0 mg; zinc, 71.5 mg; iodine, 1.10 mg.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>The treatments consisted of different levels of prebiotic inclusion (0, 0.5, 1.0, and 1.5 kg/ton) by replacing the feed inert (kaolin) in the diet. The prebiotic Maximos<sup>®</sup>, composed of MOS and β-glucans, was supplied by the company Aleris (2023).</p>
			</sec>
			<sec>
				<title>2.2. Animal performance</title>
				<p>To evaluate performance, the animals were weighed, as well as the feed and leftovers, at the beginning and end of each phase. Mortality was also verified. With these data, it was possible to calculate feed intake (FI, g/bird), weight gain (WG, g/bird), feed conversion ratio (FCR), livability (LIV, %) of the animals in all growing phases (from 1 to 7, 1 to 21, 1 to 35, and 1 to 42 days of age) to compare the prebiotic inclusion levels. In the total period of the experiment, from 1 to 42 days, the productive efficiency index (PEI) was determined through the calculation (equation 1) adapted from <xref ref-type="bibr" rid="B30">Saiyed et al. (2015)</xref>:</p>
				<disp-formula id="e1">
					<mml:math>
						<mml:mi>P</mml:mi>
						<mml:mi>E</mml:mi>
						<mml:mi>I</mml:mi>
						<mml:mo>=</mml:mo>
						<mml:mfrac>
							<mml:mrow>
								<mml:mi>W</mml:mi>
								<mml:mi>G</mml:mi>
								<mml:mo>×</mml:mo>
								<mml:mi>L</mml:mi>
								<mml:mi>I</mml:mi>
								<mml:mi>V</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mi>S</mml:mi>
								<mml:mi>A</mml:mi>
								<mml:mo>×</mml:mo>
								<mml:mi>F</mml:mi>
								<mml:mi>C</mml:mi>
								<mml:mi>R</mml:mi>
							</mml:mrow>
						</mml:mfrac>
						<mml:mo>×</mml:mo>
						<mml:mn>100</mml:mn>
					</mml:math>
					<label>(1)</label>
				</disp-formula>
				<p>in which WG = average weight gain (kg), LIV = livability (%), and SA = slaughter age.</p>
			</sec>
			<sec>
				<title>2.3. Carcass yield</title>
				<p>To evaluate carcass yield and prime cuts, two animals with a weight 10% higher or lower than the average weight of the experimental unit were selected and identified. These animals remained fasting for 10 h, and then they were weighed again and then slaughtered. After slaughter, the carcasses, breasts, thighs, and drumsticks were weighed. Carcass yield and cuts yield were determined using the methodology described by <xref ref-type="bibr" rid="B12">Falaki et al. (2010)</xref>. The cut yields evaluated were: breast, thigh, and drumstick yields.</p>
			</sec>
			<sec>
				<title>2.4. Broiler litter evaluation</title>
				<p>For litter evaluation, moisture (%), pH, and nitrogen and phosphorus contents of chicken litter were taken into account. The samples were collected at three different places in chicken litter (initial, middle, and final third) of each experimental unit, before the animals were housed and at the end of the experiment (42 days). We avoided to collect samples at places close to the feeder and drinker.</p>
				<p>The pH was obtained by weighing 20 g of the sample and diluting it in deionized water; after resting, the reading was performed with a pH meter, as described by <xref ref-type="bibr" rid="B27">Pope and Cherry (2000)</xref>. Moisture, N, and P contents were determined by official methods 934.01 (<xref ref-type="bibr" rid="B3">AOAC, 1990</xref>), 955.04 (<xref ref-type="bibr" rid="B3">AOAC, 1990</xref>), 958.01 (<xref ref-type="bibr" rid="B3">AOAC, 1990</xref>), respectively. The results of N and P are the difference obtained between the final and initial evaluation of the litter, thus providing the result of accumulation of these minerals during the 42 days of the experiment.</p>
			</sec>
			<sec>
				<title>2.5. Statistical analysis</title>
				<p>The experimental data were subjected to analysis of variance (ANOVA) using the PROC GLM procedure of SAS (Statistical Analysis System, version 9.4). ANOVA was performed considering the experimental design in blocks, described according to the statistical model (equation 2):</p>
				<disp-formula id="e2">
					<mml:math>
						<mml:mi>y</mml:mi>
						<mml:mi>i</mml:mi>
						<mml:mi>j</mml:mi>
						<mml:mi>k</mml:mi>
						<mml:mo>=</mml:mo>
						<mml:mi>μ</mml:mi>
						<mml:mo>+</mml:mo>
						<mml:mi>T</mml:mi>
						<mml:mi>i</mml:mi>
						<mml:mo>+</mml:mo>
						<mml:mi>β</mml:mi>
						<mml:mi>j</mml:mi>
						<mml:mo>+</mml:mo>
						<mml:mi>ε</mml:mi>
						<mml:mi>i</mml:mi>
						<mml:mi>j</mml:mi>
						<mml:mi>k</mml:mi>
					</mml:math>
					<label>(2)</label>
				</disp-formula>
				<p>in which <italic>yijk</italic> = observation <italic>k</italic> at level <italic>i</italic> (<italic>i</italic> = 1,...,a) of treatment <italic>T</italic> and block <italic>j</italic> (<italic>j</italic> = 1,...,b), <italic>µ</italic> = overall average, <italic>Ti</italic> = effect of treatment <italic>i</italic>, <italic>ßj</italic> = fixed effect of block <italic>j</italic>, and <italic>εijk</italic> = random error.</p>
				<p>To evaluate the prebiotic inclusion levels, regression analysis was performed and contrast evaluation procedure of orthogonal polynomials for each variable dependent at the 5% probability level. When a quadratic effect was found, it was possible to estimate the optimal level of product supplementation by deriving the second-degree equation.</p>
			</sec>
		</sec>
		<sec sec-type="results">
			<title>3. Results</title>
			<sec>
				<title>3.1. Animal performance</title>
				<p>The inclusion of prebiotics in broiler diets improved performance during the production cycle (<xref ref-type="table" rid="t2">Table 2</xref>). For instance, animal WG and FCR resulted in an increase in the PEI and did not influence the carcass parameters (<xref ref-type="table" rid="t3">Table 3</xref>). However, the amount of phosphorus decreased in the litter at 42 days of age (<xref ref-type="table" rid="t4">Table 4</xref>).</p>
				<p>
					<table-wrap id="t2">
						<label>Table 2</label>
						<caption>
							<title>Performance of broilers fed different prebiotic levels</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup width="17%">
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<tbody>
								<tr>
									<td align="left" rowspan="3">Treatment<sup>1</sup></td>
									<td align="center" colspan="5">Parameter</td>
								</tr>
								<tr>
									<td align="center">WG (g/bird)</td>
									<td align="center">FI (g/bird)</td>
									<td align="center">FCR<sup>2</sup></td>
									<td align="center">LIV (%)</td>
									<td align="center">PEI</td>
								</tr>
								<tr>
									<td align="center" colspan="5">1–7 days</td>
								</tr>
								<tr>
									<td>Control</td>
									<td align="center">110</td>
									<td align="center">144</td>
									<td align="center">1.3</td>
									<td align="center">100</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>0.5 kg/ton</td>
									<td align="center">115</td>
									<td align="center">143</td>
									<td align="center">1.2</td>
									<td align="center">99.6</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>1.0 kg/ton</td>
									<td align="center">116</td>
									<td align="center">144</td>
									<td align="center">1.2</td>
									<td align="center">99.6</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>1.5 kg/ton</td>
									<td align="center">117</td>
									<td align="center">147</td>
									<td align="center">1.2</td>
									<td align="center">99.6</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>P-linear</td>
									<td align="center">&lt;0.01</td>
									<td align="center">0.452</td>
									<td align="center">0.030</td>
									<td align="center">0.552</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>P-quadratic</td>
									<td align="center">0.121</td>
									<td align="center">0.352</td>
									<td align="center">0.043</td>
									<td align="center">0.633</td>
									<td> </td>
								</tr>
								<tr>
									<td>SEM</td>
									<td align="center">0.914</td>
									<td align="center">1.953</td>
									<td align="center">0.015</td>
									<td align="center">0.002</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td rowspan="2"> </td>
									<td align="center">WG (g/bird)<sup>3</sup></td>
									<td align="center">FI (g/bird)</td>
									<td align="center">FCR<sup>4</sup></td>
									<td align="center">LIV (%)</td>
									<td align="center">PEI</td>
								</tr>
								<tr>
									<td align="center" colspan="5">1–21 days</td>
								</tr>
								<tr>
									<td>Control</td>
									<td align="center">753</td>
									<td align="center">1,077</td>
									<td align="center">1.4</td>
									<td align="center">97.5</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>0.5 kg/ton</td>
									<td align="center">797</td>
									<td align="center">1,063</td>
									<td align="center">1.3</td>
									<td align="center">98.1</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>1.0 kg/ton</td>
									<td align="center">793</td>
									<td align="center">1,045</td>
									<td align="center">1.3</td>
									<td align="center">98.7</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>1.5 kg/ton</td>
									<td align="center">800</td>
									<td align="center">1,079</td>
									<td align="center">1.4</td>
									<td align="center">98.7</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>P-linear</td>
									<td align="center">0.0005</td>
									<td align="center">0.870</td>
									<td align="center">0.030</td>
									<td align="center">0.243</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>P-quadratic</td>
									<td align="center">0.0142</td>
									<td align="center">0.188</td>
									<td align="center">0.010</td>
									<td align="center">0.686</td>
									<td> </td>
								</tr>
								<tr>
									<td>SEM</td>
									<td align="center">6.714</td>
									<td align="center">16.06</td>
									<td align="center">0.021</td>
									<td align="center">0.060</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td rowspan="2"> </td>
									<td align="center">WG (g/bird)<sup>5</sup></td>
									<td align="center">FI (g/bird)</td>
									<td align="center">FCR<sup>6</sup></td>
									<td align="center">LIV (%)</td>
									<td align="center">PEI</td>
								</tr>
								<tr>
									<td align="center" colspan="5">1–35 days</td>
								</tr>
								<tr>
									<td>Control</td>
									<td align="center">1,799</td>
									<td align="center">2,974</td>
									<td align="center">1.7</td>
									<td align="center">96.2</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>0.5 kg/ton</td>
									<td align="center">1,902</td>
									<td align="center">2,955</td>
									<td align="center">1.6</td>
									<td align="center">97.5</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>1.0 kg/ton</td>
									<td align="center">1,937</td>
									<td align="center">2,923</td>
									<td align="center">1.5</td>
									<td align="center">98.7</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>1.5 kg/ton</td>
									<td align="center">1,952</td>
									<td align="center">2,964</td>
									<td align="center">1.5</td>
									<td align="center">98.4</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>P-linear</td>
									<td align="center">&lt;0.010</td>
									<td align="center">0.727</td>
									<td align="center">&lt;0.010</td>
									<td align="center">0.119</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>P-quadratic</td>
									<td align="center">0.003</td>
									<td align="center">0.421</td>
									<td align="center">0.009</td>
									<td align="center">0.449</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td>SEM</td>
									<td align="center">12.37</td>
									<td align="center">32.75</td>
									<td align="center">0.018</td>
									<td align="center">0.007</td>
									<td align="center">-</td>
								</tr>
								<tr>
									<td rowspan="2"> </td>
									<td align="center">WG (g/bird)</td>
									<td align="center">FI (g/bird)</td>
									<td align="center">FCR</td>
									<td align="center">LIV (%)</td>
									<td align="center">PEI</td>
								</tr>
								<tr>
									<td align="center" colspan="5">1–42 days</td>
								</tr>
								<tr>
									<td>Control</td>
									<td align="center">2,337</td>
									<td align="center">4,016</td>
									<td align="center">1.7</td>
									<td align="center">96.2</td>
									<td align="center">319</td>
								</tr>
								<tr>
									<td>0.5 kg/ton</td>
									<td align="center">2,467</td>
									<td align="center">4,010</td>
									<td align="center">1.6</td>
									<td align="center">97.5</td>
									<td align="center">361</td>
								</tr>
								<tr>
									<td>1.0 kg/ton</td>
									<td align="center">2,460</td>
									<td align="center">3,932</td>
									<td align="center">1.6</td>
									<td align="center">99.4</td>
									<td align="center">373</td>
								</tr>
								<tr>
									<td>1.5 kg/ton</td>
									<td align="center">2,463</td>
									<td align="center">3,924</td>
									<td align="center">1.6</td>
									<td align="center">97.5</td>
									<td align="center">368</td>
								</tr>
								<tr>
									<td>P-linear</td>
									<td align="center">0.0180</td>
									<td align="center">0.5705</td>
									<td align="center">0.0265</td>
									<td align="center">0.2673</td>
									<td align="center">0.0152</td>
								</tr>
								<tr>
									<td>P-quadratic</td>
									<td align="center">0.0937</td>
									<td align="center">0.8314</td>
									<td align="center">0.1506</td>
									<td align="center">0.3722</td>
									<td align="center">0.0947</td>
								</tr>
								<tr>
									<td>SEM</td>
									<td align="center">30.73</td>
									<td align="center">50.48</td>
									<td align="center">0.028</td>
									<td align="center">0.033</td>
									<td align="center">10.07</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN3">
								<p>SEM - standard error of the mean; WG - weight gain; FI - feed intake; FCR - feed conversion ratio; LIV - livability; PEI - productive efficiency index.</p>
							</fn>
							<fn id="TFN4">
								<p>1 Control (basal diet with no growth promoter and prebiotic); control diet plus 0.5, 1.0, and 1.5 kg/ton prebiotic, respectively.</p>
							</fn>
							<fn id="TFN5">
								<p>2 Regression equation: <inline-formula>
										<mml:math>
											<mml:mi>y</mml:mi>
											<mml:mo>=</mml:mo>
											<mml:mn>1.3064</mml:mn>
											<mml:mo>−</mml:mo>
											<mml:mn>0.1449</mml:mn>
											<mml:mi>x</mml:mi>
											<mml:mo>+</mml:mo>
											<mml:mn>0.0718</mml:mn>
											<mml:msup>
												<mml:mi>x</mml:mi>
												<mml:mn>2</mml:mn>
											</mml:msup>
										</mml:math>
									</inline-formula> (R<sup>2</sup> = 0.98; X optimum = 1.01 kg/ton).</p>
							</fn>
							<fn id="TFN6">
								<p>3 Regression equation <inline-formula>
										<mml:math>
											<mml:mi>y</mml:mi>
											<mml:mo>=</mml:mo>
											<mml:mn>755.75</mml:mn>
											<mml:mo>+</mml:mo>
											<mml:mn>84.246</mml:mn>
											<mml:mi>x</mml:mi>
											<mml:mo>−</mml:mo>
											<mml:mn>38.112</mml:mn>
											<mml:msup>
												<mml:mi>x</mml:mi>
												<mml:mn>2</mml:mn>
											</mml:msup>
										</mml:math>
									</inline-formula> (R<sup>2</sup> = 0.88; X optimum = 1.10 kg/ton).</p>
							</fn>
							<fn id="TFN7">
								<p>4 Regression equation <inline-formula>
										<mml:math>
											<mml:mi>y</mml:mi>
											<mml:mo>=</mml:mo>
											<mml:mn>1.4285</mml:mn>
											<mml:mo>−</mml:mo>
											<mml:mn>0.241</mml:mn>
											<mml:mi>x</mml:mi>
											<mml:mo>+</mml:mo>
											<mml:mn>0.1267</mml:mn>
											<mml:msup>
												<mml:mi>x</mml:mi>
												<mml:mn>2</mml:mn>
											</mml:msup>
										</mml:math>
									</inline-formula> (R<sup>2</sup> = 0.99; X optimum = 0.95 kg/ton).</p>
							</fn>
							<fn id="TFN8">
								<p>5 Regression equation <inline-formula>
										<mml:math>
											<mml:mi>y</mml:mi>
											<mml:mo>=</mml:mo>
											<mml:mn>1801.3</mml:mn>
											<mml:mo>+</mml:mo>
											<mml:mn>230.82</mml:mn>
											<mml:mi>x</mml:mi>
											<mml:mo>−</mml:mo>
											<mml:mn>88.114</mml:mn>
											<mml:msup>
												<mml:mi>x</mml:mi>
												<mml:mn>2</mml:mn>
											</mml:msup>
										</mml:math>
									</inline-formula> (R<sup>2</sup> = 0.99; X optimum = 1.31 kg/ton).</p>
							</fn>
							<fn id="TFN9">
								<p>6 Regression equation <inline-formula>
										<mml:math>
											<mml:mi>y</mml:mi>
											<mml:mo>=</mml:mo>
											<mml:mn>1.6541</mml:mn>
											<mml:mo>−</mml:mo>
											<mml:mn>0.2541</mml:mn>
											<mml:mi>x</mml:mi>
											<mml:mo>+</mml:mo>
											<mml:mn>0.1095</mml:mn>
											<mml:msup>
												<mml:mi>x</mml:mi>
												<mml:mn>2</mml:mn>
											</mml:msup>
										</mml:math>
									</inline-formula> (R<sup>2</sup> = 1.00; X optimum = 1.16 kg/ton).</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>
					<table-wrap id="t3">
						<label>Table 3</label>
						<caption>
							<title>Carcass and cuts yield of broilers fed different levels of prebiotics at the complete cycle (1–42 days)</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup width="20%">
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left" rowspan="2" style="font-weight:normal">Treatment<sup>1</sup></th>
									<th colspan="4" style="font-weight:normal">Yield (%)</th>
								</tr>
								<tr>
									<th style="font-weight:normal">Eviscerated weight</th>
									<th style="font-weight:normal">Breast</th>
									<th style="font-weight:normal">Thigh</th>
									<th style="font-weight:normal">Drumstick</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td>Control</td>
									<td align="center">82.1</td>
									<td align="center">34.5</td>
									<td align="center">12.6</td>
									<td align="center">14.4</td>
								</tr>
								<tr>
									<td>0.5 kg/ton</td>
									<td align="center">82.3</td>
									<td align="center">34.9</td>
									<td align="center">12.5</td>
									<td align="center">14.3</td>
								</tr>
								<tr>
									<td>1.0 kg/ton</td>
									<td align="center">82.1</td>
									<td align="center">34.1</td>
									<td align="center">12.4</td>
									<td align="center">14.6</td>
								</tr>
								<tr>
									<td>1.5 kg/ton</td>
									<td align="center">82.3</td>
									<td align="center">34.4</td>
									<td align="center">12.5</td>
									<td align="center">14.8</td>
								</tr>
								<tr>
									<td>P-linear</td>
									<td align="center">0.553</td>
									<td align="center">0.570</td>
									<td align="center">0.367</td>
									<td align="center">0.127</td>
								</tr>
								<tr>
									<td>P-quadratic</td>
									<td align="center">0.894</td>
									<td align="center">0.899</td>
									<td align="center">0.316</td>
									<td align="center">0.291</td>
								</tr>
								<tr>
									<td>SEM</td>
									<td align="center">0.004</td>
									<td align="center">0.005</td>
									<td align="center">0.002</td>
									<td align="center">0.003</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN10">
								<p>SEM - standard error of the mean.</p>
							</fn>
							<fn id="TFN11">
								<p>1 Control (basal diet with no growth promoter and prebiotic); control diet plus 0.5, 1.0, and 1.5 kg/ton prebiotic, respectively.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>
					<table-wrap id="t4">
						<label>Table 4</label>
						<caption>
							<title>Litter quality parameters of broilers at 1–42 days fed different prebiotic levels</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup width="20%">
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left" rowspan="2" style="font-weight:normal">Treatment<sup>1</sup></th>
									<th colspan="4" style="font-weight:normal">Parameter</th>
								</tr>
								<tr>
									<th style="font-weight:normal">Moisture (%)</th>
									<th style="font-weight:normal">pH<sup>2</sup></th>
									<th style="font-weight:normal">Nitrogen (%)</th>
									<th style="font-weight:normal">Phosphorus (%)</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td>Control</td>
									<td align="center">24.9</td>
									<td align="center">7.6</td>
									<td align="center">1.40</td>
									<td align="center">13.1</td>
								</tr>
								<tr>
									<td>0.5 kg/ton</td>
									<td align="center">30.5</td>
									<td align="center">7.6</td>
									<td align="center">1.16</td>
									<td align="center">9.2</td>
								</tr>
								<tr>
									<td>1.0 kg/ton</td>
									<td align="center">21.7</td>
									<td align="center">7.5</td>
									<td align="center">1.06</td>
									<td align="center">6.9</td>
								</tr>
								<tr>
									<td>1.5 kg/ton</td>
									<td align="center">30.2</td>
									<td align="center">7.6</td>
									<td align="center">0.86</td>
									<td align="center">6.4</td>
								</tr>
								<tr>
									<td>P-linear</td>
									<td align="center">0.515</td>
									<td align="center">0.709</td>
									<td align="center">0.066</td>
									<td align="center">0.0007</td>
								</tr>
								<tr>
									<td>P-quadratic</td>
									<td align="center">0.550</td>
									<td align="center">0.552</td>
									<td align="center">0.926</td>
									<td align="center">0.2150</td>
								</tr>
								<tr>
									<td>SEM</td>
									<td align="center">0.085</td>
									<td align="center">0.025</td>
									<td align="center">0.121</td>
									<td align="center">0.0784</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN12">
								<p>SEM - standard error of the mean.</p>
							</fn>
							<fn id="TFN13">
								<p>1 Control (basal diet with no growth promoter and prebiotic); control diet plus 0.5, 1.0, and 1.5 kg/ton prebiotic, respectively.</p>
							</fn>
							<fn id="TFN14">
								<p>2 pH in the litter at 41 days of housing.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>In the phase from 1 to 7 days of broiler age, the inclusion of prebiotics provided a linear increase (P&lt;0.05) in WG, being 8.5% greater in the treatment with the highest prebiotic inclusion (1.5 kg/ton). A quadratic effect was also obtained (P&lt;0.05), with the calculated optimal level of 1.01 kg/ton, which provided an improvement of 5.7% in FCR compared with that obtained with the control diet, free of prebiotics. There was no significant difference (P&lt;0.05) for FI and LIV.</p>
				<p>In the phase from 1 to 21 days of broiler age, with the inclusion of the prebiotic, a quadratic effect (P&lt;0.05) was obtained for WG and FCR. The use of the optimal inclusion level, estimated at 1.02 kg/ton of prebiotic in the diet, provided WG of 802 g and FCR of 1.31, which were 6.58 and 8.39% better than the results without the use of prebiotic in the diet, respectively. There was no significant difference (P&lt;0.05) for FI and LIV.</p>
				<p>In the phase from 1 to 35 days of age, the inclusion of the prebiotic provided a quadratic effect (P&lt;0.05) for WG and FCR. The use of the estimated optimal level of 1.23 kg/ton of prebiotic in the diet provided WG of 1,952 g and FCR of 1.50, which were 8.54 and 8.93% better than the results obtained with the control group, respectively. There was no significant difference (P&lt;0.05) for FI and LIV.</p>
				<p>In the complete production cycle, we observed a positive effect of prebiotic inclusion in the diets on WG, FCR, and PEI. There was a 5.36% increase in WG (2,337 g to 2,463 g) and 7.3% in FCR. This positive effect on WG and FCR provided 16.9% higher PEI compared with the control diet (319 to 373). There was no significant difference (P&lt;0.05) for FI and LIV. Carcass yield parameters did not show significant differences (P&lt;0.05) from prebiotic levels in the diets.</p>
			</sec>
			<sec>
				<title>3.2. Broiler litter evaluation</title>
				<p>Regarding phosphorus content in the litter, the broilers that consumed the diet with 1.5 kg/ton of prebiotic reduced the phosphorus amount in the litter (P&lt;0.05) by 51%. There was a trend (P = 0.06) in nitrogen content reduction in the litter in 39% when comparing the birds fed prebiotic with the control group. No significant differences (P&lt;0.05) were observed regarding pH and moisture.</p>
			</sec>
		</sec>
		<sec sec-type="discussion">
			<title>4. Discussion</title>
			<p>Overall, the inclusion of prebiotics in broiler diets in any amount improved performance during the production cycle. The results obtained are due to the prebiotic effect of MOS and β-glucans. Mono-oligosaccharides are complex carbohydrates with the ability to act as a non-pathogenic antigen, increasing the production of IgG and IgA immunoglobulins (<xref ref-type="bibr" rid="B33">Swanson et al., 2002</xref>; <xref ref-type="bibr" rid="B4">Asadpoor et al., 2020</xref>). Still, MOS stimulate the development of the systemic immunity of the animal, once they bind to certain gut microbiota due to mannan component and, thus, prevent attachment of microbiota to the intestinal cells (<xref ref-type="bibr" rid="B36">Yamamoto and Uenishi, 2010</xref>). They also provide greater absorption of nutrients by the intestinal mucosa, due to the positive effect on villus height and crypt depth both in jejunum and ileum (<xref ref-type="bibr" rid="B5">Asif et al., 2024</xref>).</p>
			<p>Additionally, MOS are used as a substrate to stimulate the growth and/or metabolism of beneficial bacteria. These compounds also act as a ligand for bacteria that have type 1 fimbriae, such as the pathogenic bacteria <italic>Salmonella</italic> spp. and <italic>E. coli</italic> that affect animal production (<xref ref-type="bibr" rid="B13">Ferket et al., 2002</xref>). Once attached to the MOS, these bacteria are not able to bind to the specific sites of the enterocytes and are prevented from colonizing the gastrointestinal tract, being eliminated with the fecal cake (<xref ref-type="bibr" rid="B25">Oyofo et al., 1989</xref>).</p>
			<p>β-glucans when digested, are absorbed through the intestinal mucosa and are recognized by the defense cells of the animal organism, being Dectin-1 one of them. Activation of the receptor of this cell induces various stimulating effects on the immune system (<xref ref-type="bibr" rid="B32">Stier et al., 2014</xref>), resulting in increased production of macrophages, monocytes, and cytokines (<xref ref-type="bibr" rid="B31">Seljelid et al., 1987</xref>; <xref ref-type="bibr" rid="B17">Guo et al., 2003</xref>; <xref ref-type="bibr" rid="B9">Cox et al., 2010</xref>). As a result, β-glucan increases resistance against infection of microorganisms and reduces mortality (<xref ref-type="bibr" rid="B22">Moon et al., 2016</xref>). Improvement of the intestinal health of animals fed this compound has been proven, promoting the reduction of <italic>Clostridium perfrigens</italic> and the increase of beneficial bacteria such as <italic>Lactobacillus</italic> and <italic>Bifidobacterium</italic> (<xref ref-type="bibr" rid="B34">Tian et al., 2016</xref>).</p>
			<p>
				<xref ref-type="bibr" rid="B5">Asif et al. (2024)</xref> evaluated from 200 to 800 g/ton prebiotic composed of MOS in broiler diets. The highest prebiotic concentration provided WG (1.89 kg) and FI (2.99 kg) in the last week of experiment and FCR (1.58) similar to the 400 g/ton prebiotic inclusion group (WG = 1.88 kg; FI = 3.02 kg; FCR = 1.61). These mentioned FCR had also no difference from the positive control group that received antibiotic (FCR = 1.61). Other prebiotic concentration levels (200 and 600 g/ton) did not differ from the control negative group for the performance parameters. Therefore, the authors suggested that MOS could replace antibiotic growth promoters. <xref ref-type="bibr" rid="B1">Ahmed et al. (2023)</xref> evaluated performance parameters in broilers fed 1 g/kg prebiotic (MOS enriched with β-glucan) and observed higher WG (1.9 kg), less FI (3.05 kg), similar FCR (1.61), and survivability (100%), when compared with the control and positive (antibiotic) group. They suggested that antibiotic growth promoters could be replaced by prebiotic. <xref ref-type="bibr" rid="B35">Wang et al. (2016)</xref> also tested prebiotics containing MOS (170 g/ton) and β-glucan (250 g/ton); however, in these concentrations, no difference was observed regarding FCR, FI, and WG in any phase of broilers’ life, including the complete cycle comparison.</p>
			<p>In our study, LIV in all prebiotic treatments led to high values (&gt; 97.5%); thus, mortality was unaltered with the use of increasing prebiotic levels, which also reflected in good PEI values. The PEI values found herein were all above 361 and better than the control group. <xref ref-type="bibr" rid="B30">Saiyed et al. (2015)</xref> also evaluated different prebiotic/probiotic inclusion levels in broiler diets, in which the highest concentration evaluated was 500 g/ton prebiotic combined or not with 50-100 g/ton probiotic. They observed that all treatments that used prebiotic and/or probiotic alone or combined had better results (PEI = 261–285) than the control (231) group.</p>
			<p>Despite the good results observed by prebiotic inclusion, one must consider many factors. For instance, alterations can be found varying the concentration, brand, rearing system, and administration mode (<italic>in ovo</italic>, in feed, or in water). Also, the mixture of prebiotic with other compounds (for instance fiber, probiotic, or some antibacterial agent) must be considered. All these factors can provide different benefits or no benefits at all and must be carefully studied. As stated elsewhere (<xref ref-type="bibr" rid="B21">Moawad et al., 2023</xref>), it is crucial to consider the economic feasibility and cost-effectiveness of these interventions in a broader commercial broiler production.</p>
			<p>With respect to carcass yield, no differences among treatments were observed. An average of 82% in eviscerated weight, 34% in breast yield, 12% thigh, and 14% drumstick was found. Similar breast yield (33%) was observed by <xref ref-type="bibr" rid="B21">Moawad et al. (2023)</xref> in their recent research conducted with 0.1% commercial prebiotic via water. Contrariwise, <xref ref-type="bibr" rid="B6">Biswas et al. (2019)</xref> showed that the weight of breast (18%), thigh (10%), back (19%), drumstick (11%), bursa of Fabricius (0.39%), and thymus (0.58%) were higher in the birds given 0.2% MOS.</p>
			<p>In the present study, the litter quality parameters showed no difference regarding pH, moisture, and nitrogen excretion. However, phosphorus content decreased with the use of prebiotics in the diets in 30, 47, and 51% when, respectively, 0.5, 1.0, and 1.5 kg/ton of prebiotics were added in the diet. This effect can be attributed to the increased expression of the enzyme alkaline phosphatase at the brush border of the jejunum, provided by MOS (<xref ref-type="bibr" rid="B18">Iji et al., 2001</xref>). All these parameters are important to be measured in broiler litter. For instance, ammonia is a problem for poultry, because it volatilizes as pH values increases and excess ammonia (&gt; 100 ppm), in addition to impairing bird welfare, negatively impacts performance (Moore Jr. et al., 1996).</p>
			<p>The tendency of nitrogen reduction observed in the litter can be explained by the effect of the prebiotic components (MOS and β-glucans) that decrease the colonization of ammonia-producing bacteria in the gastrointestinal tract, reducing the amount of non-protein nitrogen, and consequently the nitrogen content in the litter (<xref ref-type="bibr" rid="B7">Chang and Chen, 2003</xref>).</p>
		</sec>
		<sec sec-type="conclusions">
			<title>5. Conclusions</title>
			<p>The use of a commercial prebiotic composed of yeast (<italic>Saccharomyces cerevisiae</italic>) cell wall in diets improves growth performance in broiler chickens. The inclusion of prebiotic for broilers promotes environmental benefits, due to the reduction of phosphorus present in the litter. Overall, the doses are safely recommended in broiler diets.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgments</title>
			<p>The authors thank the Universidade Federal de Viçosa (UFV) for providing the resources, infrastructure, and technical staff for the research and Aleris Animal Nutrition for the financial support. R. Fornazier was supported by Universidade do Estado de Santa Catarina/Programa de Bolsas de Monitoria de Pós-Graduação (UDESC/PROMOP). L.F.T. Albino, F.C. Tavernari, T.G. Petrolli, D. Paiano, A.A. Calderano, M.M. Boiago, and H.S. Rostagno are CNPq Research Productivity Fellows.</p>
		</ack>
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