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<article article-type="research-article" dtd-version="1.0" specific-use="sps-1.6" xml:lang="en" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
	<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="epub">1806-9290</issn>
			<publisher>
				<publisher-name>Sociedade Brasileira de Zootecnia</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="other">00601</article-id>
			<article-id pub-id-type="doi">10.1590/rbz4720170026</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Ruminants</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Performance and carcass characteristics of lambs fed a solution of cheese whey during feedlot and pre-slaughter lairage</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<name>
						<surname>Silva</surname>
						<given-names>Fredson Vieira e</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<xref ref-type="corresp" rid="c1">*</xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Borges</surname>
						<given-names>Iran</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Sá</surname>
						<given-names>Hemilly Cristina Menezes de</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Martins</surname>
						<given-names>Tássia Ludmila Teles</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Lana</surname>
						<given-names>Ângela Maria Quintão</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Borges</surname>
						<given-names>Ana Luiza Costa Cruz</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Moura</surname>
						<given-names>Marília Aparecida Fidelis e</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Costa</surname>
						<given-names>Hélio Henrique Araújo</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<aff id="aff1">
					<label>1</label>
					<institution content-type="normalized">Universidade Estadual de Montes Claros</institution>
					<institution content-type="orgname">Universidade Estadual de Montes Claros</institution>
					<institution content-type="orgdiv1">Departamento de Ciências Agrárias</institution>
					<addr-line>
						<named-content content-type="city">Janaúba</named-content>
						<named-content content-type="state">MG</named-content>
					</addr-line>
					<country country="BR">Brasil</country>
					<institution content-type="original">Universidade Estadual de Montes Claros, Departamento de Ciências Agrárias, Janaúba, MG, Brasil</institution>
				</aff>
				<aff id="aff2">
					<label>2</label>
					<institution content-type="normalized">Universidade Federal de Minas Gerais</institution>
					<institution content-type="orgname">Universidade Federal de Minas Gerais</institution>
					<institution content-type="orgdiv1">Escola de Veterinária</institution>
					<institution content-type="orgdiv2">Departamento de Zootecnia</institution>
					<addr-line>
						<named-content content-type="city">Belo Horizonte</named-content>
						<named-content content-type="state">MG</named-content>
					</addr-line>
					<country country="BR">Brasil</country>
					<institution content-type="original">Universidade Federal de Minas Gerais, Escola de Veterinária, Departamento de Zootecnia, Belo Horizonte, MG, Brasil</institution>
				</aff>
			</contrib-group>
			<author-notes>
				<corresp id="c1">
					<label>*</label><bold>Corresponding author:</bold><email>fredson.silva@unimontes.br</email>
				</corresp>
			</author-notes>
			<pub-date pub-type="epub">
				<day>20</day>
				<month>3</month>
				<year>2018</year>
			</pub-date>
			<volume>47</volume>
			<elocation-id>e20170026</elocation-id>
			<history>
				<date date-type="received">
					<day>25</day>
					<month>01</month>
					<year>2017</year>
				</date>
				<date date-type="accepted">
					<day>20</day>
					<month>10</month>
					<year>2017</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>The objective of this study was to evaluate performance and carcass and meat characteristics of lambs fed a solution of cheese whey plus water (100 g kg<sup>−1</sup> dry matter) (CW) during feedlot and pre-slaughter lairage. Data were analyzed as a 2 × 2 factorial (place – feedlot and slaughterhouse, food – water or CW). We evaluated the following treatments (feedlot/slaughterhouse): CW/CW, CW/water, water/CW, and control (water/water). The lambs were given a balanced diet for 70 days in the feedlot. Slaughter started 12 h after the animals arrived at the slaughterhouse. Dry matter intake, gain-to-feed ratio, average daily gain, and body weight of lambs fed CW were similar to those of control lambs. The water/CW group consumed less of this solution than the CW/CW group in the slaughterhouse. The CW supplied as a pre-slaughter supplement reduces the drip losses of lamb carcasses provided that the animals also consume it during the feedlot period. The other carcass characteristics (carcass weight, pH, subcutaneous fat thickness, and ribeye area) were similar among treatments. The meat characteristics (color, water holding capacity, cooking losses, and shear force) were similar among treatments. Whey cheese added to water can be used as an ingredient of the diet for lambs and as pre-slaughter supplement, since it does not change performance and improves carcass characteristics.</p>
			</abstract>
			<kwd-group xml:lang="en">
				<title>Key Words</title>
				<kwd>carcass quality</kwd>
				<kwd>meat characteristics</kwd>
				<kwd>sheep</kwd>
				<kwd>slaughterhouse</kwd>
				<kwd>welfare</kwd>
			</kwd-group>
			<counts>
				<fig-count count="0"/>
				<table-count count="6"/>
				<equation-count count="1"/>
				<ref-count count="39"/>
				<page-count count="1"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>Introduction</title>
			<p>Cheese production in Brazil was 1.03 million tons in 2013 (<xref ref-type="bibr" rid="B2">ABIQ, 2014</xref>) and the estimated production of whey was 9.27 million tons. Some characteristics of whey are its polluting potential and its biochemical oxygen demand (BOD) of around 30 to 45 g L<sup>−1</sup> (<xref ref-type="bibr" rid="B22">Mizubuti, 1994</xref>). Generation of biogas, ethanol, and other salable products have made it possible to reduce BOD by 75%; thus, half of the milk produced is not a pollutant, but rather a resource (<xref ref-type="bibr" rid="B33">Siso, 1996</xref>). However, in Brazil, 50% of the whey is not used (<xref ref-type="bibr" rid="B32">Siqueira et al., 2013</xref>), becoming a pollutant to rivers and streams.</p>
			<p>Whey is composed of 550 g kg<sup>−1</sup> of milk nutrients (<xref ref-type="bibr" rid="B1">Almeida et al., 2001</xref>) and has a digestible energy content of 15.9 MJ kg<sup>−1</sup> (<xref ref-type="bibr" rid="B5">Brooks and McGill, 1995</xref>); therefore, it may be an alternative to animal feed. Researchers commonly recommend quantities of whey equal to or above 100 g kg<sup>−1</sup> dry matter (DM) of the diet for satisfactory weight gain (<xref ref-type="bibr" rid="B12">Fontes et al., 2006</xref>; <xref ref-type="bibr" rid="B7">Costa et al., 2010</xref>). No studies were found in the literature in which whey was supplied in solution with water, which may produce different results. In addition to feedlot, the short-term effects of feeding whey pre-slaughter can cause changes in both responses to stress and muscle metabolism and may result in undesirable effects on animal carcasses and meat. Some supplements have been developed and investigated for their effectiveness in lessening the impacts of pre-slaughter stressors (<xref ref-type="bibr" rid="B10">Ferguson and Warner, 2008</xref>). Providing easily assimilated feed to animals can be an alternative to improve meat quality. A higher circulating energy concentration may spare part of the glycogen in a moment of pre-slaughter stress (<xref ref-type="bibr" rid="B17">Lawrie, 2005</xref>).</p>
			<p>In view of the above, the objective of this study was to evaluate performance and carcass and meat characteristics of lambs fed a solution of cheese whey and water during feedlot and pre-slaughter lairage.</p>
		</sec>
		<sec sec-type="materials|methods">
			<title>Material and Methods</title>
			<p>The procedures performed in this experiment were approved by the local Ethics Committee for Animal Experimentation under registration CETEA 185/2011.</p>
			<p>The experiment was conducted in Igarapé - MG, Brazil (20° 04′ 13″ S, 44° 18′ 06″ W, and 786 m). This experiment used 24 intact male 1/2 Dorper × Santa Inês lambs, with an initial body weight and standard error of 25.91±0.60 kg and an average age of 90 days. In the feedlot, lambs were randomly assigned to two groups: animals that received solution of cheese whey and water (100 g kg<sup>−1</sup> of dry matter) (CW) (n = 12) and animals that did not receive CW (n = 12). At the slaughterhouse, lambs were divided into animals receiving CW or animals receiving water. Minas Frescal cheese whey was added to water at both the feedlot and the slaughterhouse. Data were analyzed as a 2 × 2 factorial (place – feedlot and slaughterhouse; food – water or CW) with six replicates. The treatments evaluated were (feedlot/slaughterhouse): CW/CW, CW/water, water/CW, and control (water/water).</p>
			<p>To determine the proportion of CW in the diet, intake and nutrient digestibility testing was previously performed with different levels of this ingredient in solution. In this experiment, the inclusion of 100 g kg<sup>−1</sup> CW was determined to produce the best results (<xref ref-type="bibr" rid="B18">Martins, 2013</xref>).</p>
			<p>Lambs were given a balanced diet for 70 days in the feedlot (<xref ref-type="table" rid="t1">Tables 1</xref> and <xref ref-type="table" rid="t2">2</xref>). The animals were supplied with the protein and metabolizable energy requirements required for a gain of 200 g d<sup>−1</sup> during the feedlot.</p>
			<table-wrap id="t1">
				<label>Table 1</label>
				<caption>
					<title>Compositions of the experimental diets (g kg<sup>−1</sup> of dry matter)</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="33%">
						<col width="1%"/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" colspan="2" rowspan="2" valign="middle">Item</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">Diet</th>
						</tr>
						<tr>
							<th align="center">Control</th>
							<th align="center">Cheese whey</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left" colspan="4">Ingredient</td>
						</tr>
						<tr>
							<td align="left" rowspan="8"/>
							<td align="left">Tifton Hay 85</td>
							<td align="center">415.90</td>
							<td align="center">391.90</td>
						</tr>
						<tr>
							<td align="left">Corn meal</td>
							<td align="center">254.70</td>
							<td align="center">192.00</td>
						</tr>
						<tr>
							<td align="left">Extruded soybean</td>
							<td align="center">275.40</td>
							<td align="center">264.40</td>
						</tr>
						<tr>
							<td align="left">Cheese whey</td>
							<td align="center">-</td>
							<td align="center">100.00</td>
						</tr>
						<tr>
							<td align="left">Megalac</td>
							<td align="center">21.80</td>
							<td align="center">22.00</td>
						</tr>
						<tr>
							<td align="left">Urea + ammonium sulfate</td>
							<td align="center">3.00</td>
							<td align="center">3.00</td>
						</tr>
						<tr>
							<td align="left">Mineral salt</td>
							<td align="center">25.00</td>
							<td align="center">25.00</td>
						</tr>
						<tr>
							<td align="left">Dicalcium phosphate</td>
							<td align="center">4.20</td>
							<td align="center">1.70</td>
						</tr>
						<tr>
							<td align="left" colspan="4">Chemical composition</td>
						</tr>
						<tr>
							<td align="left" rowspan="6"/>
							<td align="left">Dry matter</td>
							<td align="center">741.50</td>
							<td align="center">684.30</td>
						</tr>
						<tr>
							<td align="left">Crude protein</td>
							<td align="center">185.00</td>
							<td align="center">185.00</td>
						</tr>
						<tr>
							<td align="left">Metabolizable energy (MJ kg<sup>−1</sup>)</td>
							<td align="center">11.46</td>
							<td align="center">11.46</td>
						</tr>
						<tr>
							<td align="left">Neutral detergent fiber</td>
							<td align="center">367.40</td>
							<td align="center">343.10</td>
						</tr>
						<tr>
							<td align="left">Ca</td>
							<td align="center">6.40</td>
							<td align="center">6.50</td>
						</tr>
						<tr>
							<td align="left">P</td>
							<td align="center">4.10</td>
							<td align="center">4.10</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<table-wrap id="t2">
				<label>Table 2</label>
				<caption>
					<title>Analysis of the concentrate, Tifton 85 hay, and cheese whey (g kg<sup>−1</sup> of dry matter)</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="19%">
						<col width="1%"/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" colspan="2">Item</th>
							<th align="center">Control concentrate</th>
							<th align="center">Whey concentrate</th>
							<th align="center">Hay</th>
							<th align="center">Cheese whey</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left" colspan="6">Chemical composition</td>
						</tr>
						<tr>
							<td align="left" rowspan="8"/>
							<td align="left">Dry matter</td>
							<td align="center">717.40</td>
							<td align="center">740.00</td>
							<td align="center">770.00</td>
							<td align="center">65.00</td>
						</tr>
						<tr>
							<td align="left">Crude protein</td>
							<td align="center">280.06</td>
							<td align="center">300.45</td>
							<td align="center">79.80</td>
							<td align="center">121.50</td>
						</tr>
						<tr>
							<td align="left">Ether extract</td>
							<td align="center">57.75</td>
							<td align="center">61.37</td>
							<td align="center">50.00</td>
							<td align="center">-</td>
						</tr>
						<tr>
							<td align="left">Minerals</td>
							<td align="center">93.94</td>
							<td align="center">99.86</td>
							<td align="center">59.60</td>
							<td align="center">76.90</td>
						</tr>
						<tr>
							<td align="left">Neutral detergent fiber</td>
							<td align="center">131.77</td>
							<td align="center">130.96</td>
							<td align="center">590.10</td>
							<td align="center">-</td>
						</tr>
						<tr>
							<td align="left">Fat</td>
							<td align="center">-</td>
							<td align="center">-</td>
							<td align="center">-</td>
							<td align="center">49.20</td>
						</tr>
						<tr>
							<td align="left">Lactose</td>
							<td align="center">-</td>
							<td align="center">-</td>
							<td align="center">-</td>
							<td align="center">490.80</td>
						</tr>
						<tr>
							<td align="left">Titratable acidity (°D)</td>
							<td align="center">-</td>
							<td align="center">-</td>
							<td align="center">-</td>
							<td align="center">11.40</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<p>The period of feedlot included 14 days for adaptation of animals to the experimental diets and to the facilities. Lambs were placed in individual stalls. The animals were weighed at the beginning and end of the adaptation period and every 14 days during the experimental period, after fasting from solids for 16 h. Based on the weight of animals, the average daily gain (ADG) was estimated and at the end of the experiment, the gain-to-feed ratio (G:F) was calculated. Diets were supplied daily at 7:00 and 16:00 h in excess by 10% to ensure leftovers.</p>
			<p>Half of the lambs received 7 kg of water each; this value was estimated so that the animals did not lack water during the day. For the other half of the animals, the desired percentage of whey was placed in a plastic bucket and water was added until a mass of 6 kg was reached. This procedure was performed at 7:00 h for each animal. Animals that consumed CW received their cheese whey percentage plus 20% extra. Water or CW was individually supplied in plastic buckets.</p>
			<p>The feed supplied and the leftovers were weighed daily for each treatment. To determine cheese whey intake, the mixture of this ingredient and water was considered homogenous. Samples of the feed, leftovers, and ingredients were collected weekly. Determinations of the nutrients in the feed were performed according to the procedures described by <xref ref-type="bibr" rid="B14">Horwitz (2000)</xref>. Neutral detergent fiber was determined following the recommendations of <xref ref-type="bibr" rid="B37">Van Soest et al. (1991)</xref>. Whey analysis was performed according to the procedures described by <xref ref-type="bibr" rid="B35">Teixeira and Fonseca (2008)</xref>.</p>
			<p>At the end of the feedlot, lambs were transported to the slaughterhouse, where the second phase of this experiment was conducted. There were no stops during the journey and the lambs did not have access to water or feed during the transfer. The travelled distance was 160 km, 6 km of which were travelled on unpaved roads. The shipment, transport, and unloading were conducted following the recommendations of <xref ref-type="bibr" rid="B26">Paranhos da Costa et al. (2010</xref>, <xref ref-type="bibr" rid="B25">2011</xref>).</p>
			<p>After unloaded, sheep were placed into four collective pens according to the previously described treatments. Each collective pen was subdivided by means of iron grids, each with plastic buckets. The methodology used to supply CW and water was the same as the feedlot.</p>
			<p>Slaughter began 12 h after the animals arrived at the slaughterhouse. Animals were stunned with an electro narcosis system, consisting of two electrodes placed on their head, which was immediately followed by bleeding in accordance with the Brazilian Federal Meat Inspection Regulations (<xref ref-type="bibr" rid="B4">Brasil, 1997</xref>).</p>
			<p>Approximately 45 min after bleeding, the pH (pHi) was measured in the loin (<italic>LM thoracis et lumborum</italic>), as described by <xref ref-type="bibr" rid="B27">Pearce et al. (2010)</xref>. The forestomaches, stomachs, and intestines were weighed full; after washing, they were also weighed empty. The hot carcasses were weighed, washed, and taken to a cooling chamber with a temperature ranging from 2 to 4 °C for 24 h. After cooling, the carcasses were weighed again and the pH was measured (pHu). In the cold carcasses, using a measuring tape, the internal length and the perimeters of the thorax and leg were measured according to <xref ref-type="bibr" rid="B30">Sañudo and Sierra (1986)</xref>. Subcutaneous fat thickness and the ribeye area were evaluated using the United States Standards for Grades of Carcass Beef (1997), as described by <xref ref-type="bibr" rid="B13">Gomide et al. (2006)</xref>.</p>
			<p>A 10-cm section of deboned <italic>longissimus</italic> muscle was removed from the carcass after 24 h cooling. This muscle was then vacuum-packed and subjected to analysis. Meat color, water loss by cooking, water holding capacity, water activity, and shear force were assessed on this portion of the loin.</p>
			<p>Lightness (L*), redness (a*), and yellowness (b*) values were measured according to the description of <xref ref-type="bibr" rid="B9">Devine et al. (2002)</xref> using the Hunter lab Miniscan, model Miniscan EZ.</p>
			<p>To determine water loss by cooking, the meat was weighed (67.00±1.83 g) and placed on an electric grill. When the temperature at the coldest point on the steaks reached 40 °C, they were turned over, and the other side was grilled until it reached 71 °C. The sections of meat were then cooled to room temperature and weighed again (<xref ref-type="bibr" rid="B28">Ramos and Gomide, 2007</xref>).</p>
			<p>Cylindrical samples were then taken from the meat sections that underwent cooking. The samples had a diameter of 1.27 cm and were used to perform the objective analysis of shear force, which was measured using a Warner-Bratzler device (<xref ref-type="bibr" rid="B39">Wheeler et al., 2001</xref>).</p>
			<p>The part of the raw <italic>longissimus</italic> muscle that remained after the steaks were removed for cooking was used to evaluate the water holding capacity. These samples were centrifuged (4 min/1500 rpm) and placed in an oven (18 h/70 °C). The water holding capacity was calculated by the difference in weight (<xref ref-type="bibr" rid="B23">Nakamura and Katoh, 1981</xref>). Other raw samples were used to measure water activity by means of the Aqualab<sup>®</sup> series 3TE instrument. The experiment was performed in a completely randomized design and each animal was an experimental unit. The dependent variables, dry matter intake (DMI), water intake, gain-to-feed ratio (G:F), average daily gain (ADG), and body weight (BW) were only assessed while the animals were in the feedlot (t test), P&lt;0.05). The other dependent variables were assessed under the effect of feedlot and pre-slaughter (2 × 2 factorial). Data were tested by ANOVA and whenever significant, the mean values were compared by the Tukey test (P&lt;0.05). Adjustment of the dependent variables was performed by analyzing the covariable “initial BW”, when significant (P&lt;0.05). For the variable “CW or water intakes”, which was determined in the slaughterhouse, the assumption of normality for the residue and the homogeneity of variances were not accepted; therefore, a Kruskal-Wallis test was performed (P&lt;0.05).</p>
			<p>The mathematical model used was:</p>
			<disp-formula id="eq1">
				<alternatives>
					<mml:math display="block" id="m1">
						<mml:mrow>
							<mml:msub>
								<mml:mtext>y</mml:mtext>
								<mml:mrow>
									<mml:mtext>ijk</mml:mtext>
								</mml:mrow>
							</mml:msub>
							<mml:mo>=</mml:mo>
							<mml:mtext>μ</mml:mtext>
							<mml:mo>+</mml:mo>
							<mml:msub>
								<mml:mtext>α</mml:mtext>
								<mml:mtext>i</mml:mtext>
							</mml:msub>
							<mml:mo>+</mml:mo>
							<mml:msub>
								<mml:mtext>β</mml:mtext>
								<mml:mtext>j</mml:mtext>
							</mml:msub>
							<mml:mo>+</mml:mo>
							<mml:msub>
								<mml:mtext>α</mml:mtext>
								<mml:mtext>i</mml:mtext>
							</mml:msub>
							<mml:msub>
								<mml:mtext>β</mml:mtext>
								<mml:mtext>j</mml:mtext>
							</mml:msub>
							<mml:mo>+</mml:mo>
							<mml:msub>
								<mml:mtext>e</mml:mtext>
								<mml:mrow>
									<mml:mtext>ijk</mml:mtext>
								</mml:mrow>
							</mml:msub>
							<mml:mo>,</mml:mo>
						</mml:mrow>
					</mml:math>
					<graphic xlink:href="1806-9290-rbz-rbz4720170026-eq01.svg"/>
				</alternatives>
			</disp-formula>
			<p>in which y<sub>ijk</sub> = observed value of the variable that received whey in feedlot i, that received whey in slaughterhouse j, and repetition k; μ = overall mean; α<sub>i</sub> = feedlot – control diet or diet with CW; β<sub>j</sub> = slaughterhouse – water or CW; α<sub>i</sub>β<sub>j</sub> = effect of interaction; and e<sub>ijk</sub> = random error associated with each observation.</p>
		</sec>
		<sec sec-type="results">
			<title>Results</title>
			<p>The values of DMI, G:F, ADG, and BW of lambs were similar between the animals receiving CW and the control animals. The lambs receiving CW ingested less water during the feedlot (<xref ref-type="table" rid="t3">Table 3</xref>). At the slaughterhouse, water/CW animals ingested less CW (<xref ref-type="table" rid="t4">Table 4</xref>).</p>
			<table-wrap id="t3">
				<label>Table 3</label>
				<caption>
					<title>Performance of lambs finished on diets with or without cheese whey</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="20%">
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" rowspan="2" valign="middle">Item</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">Treatment<xref ref-type="table-fn" rid="TFN2">1</xref>
							</th>
							<th align="center" rowspan="2" valign="middle">SEM</th>
							<th align="center" rowspan="2" valign="middle">P-value</th>
						</tr>
						<tr>
							<th align="center">Control</th>
							<th align="center">Cheese whey</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">Dry matter intake (kg day<sup>−1</sup>)</td>
							<td align="center">0.78</td>
							<td align="center">0.83</td>
							<td align="center">0.04</td>
							<td align="center">0.305</td>
						</tr>
						<tr>
							<td align="left">Water intake<xref ref-type="table-fn" rid="TFN3">2</xref> (kg day<sup>−1</sup>)</td>
							<td align="center">3.35</td>
							<td align="center">2.29</td>
							<td align="center">0.12</td>
							<td align="center">&lt;0.001</td>
						</tr>
						<tr>
							<td align="left">Gain-to-feed ratio (weight weight<sup>−1</sup>)</td>
							<td align="center">0.29</td>
							<td align="center">0.29</td>
							<td align="center">0.14</td>
							<td align="center">0.810</td>
						</tr>
						<tr>
							<td align="left">Average daily gain (g day<sup>−1</sup>)</td>
							<td align="center">227.90</td>
							<td align="center">250.80</td>
							<td align="center">11.45</td>
							<td align="center">0.156</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN1">
						<p>SEM - standard error of the mean.</p>
					</fn>
					<fn id="TFN2">
						<label>1</label>
						<p>Control: no cheese whey; cheese whey: 100 g kg<sup>−1</sup> of dry matter.</p>
					</fn>
					<fn id="TFN3">
						<label>2</label>
						<p>Water of the feed not taken in consideration.</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<table-wrap id="t4">
				<label>Table 4</label>
				<caption>
					<title>Intake of cheese whey and water or water and intake of cheese whey in the slaughterhouse</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="20%">
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left">Treatment<xref ref-type="table-fn" rid="TFN6">1</xref>
							</th>
							<th align="center">CW or water (kg lamb<sup>−1</sup>)</th>
							<th align="center">25th and 75th percentiles</th>
							<th align="center">Cheese whey (g DM lamb<sup>−1</sup>)</th>
							<th align="center">25th and 75th percentiles</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">CW/CW</td>
							<td align="center">1.34b</td>
							<td align="center">0.49-2.04</td>
							<td align="center">21.39</td>
							<td align="center">7.82-32.57</td>
						</tr>
						<tr>
							<td align="left">CW/water</td>
							<td align="center">1.30b</td>
							<td align="center">0.55-1.92</td>
							<td align="center">-</td>
							<td align="center">-</td>
						</tr>
						<tr>
							<td align="left">Water/CW</td>
							<td align="center">0.42a</td>
							<td align="center">0.29-0.55</td>
							<td align="center">6.70</td>
							<td align="center">4.63-8.78</td>
						</tr>
						<tr>
							<td align="left">Control</td>
							<td align="center">1.16b</td>
							<td align="center">0.41-1.92</td>
							<td align="center">-</td>
							<td align="center">-</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN4">
						<p>CW: solution of cheese whey and water.</p>
					</fn>
					<fn id="TFN5">
						<p>DM - dry matter.</p>
					</fn>
					<fn id="TFN6">
						<label>1</label>
						<p>Treatments (feedlot/slaughterhouse): CW/CW, CW/water, water/CW, and control (water/water).</p>
					</fn>
					<fn id="TFN7">
						<p>Medians within a column with different letters differ by the Kruskal-Wallis test (P&lt;0.05).</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>The initial and ultimate pH and the hot and cold carcass weights were similar among treatments (<xref ref-type="table" rid="t5">Table 5</xref>). Carcass measurements were similar among treatments. Lambs presented similar values for subcutaneous fat thickness, body length, perimeters of the thorax and leg, and ribeye area. The weights of the forestomaches, stomachs, and intestines of lambs were similar among treatments.</p>
			<table-wrap id="t5">
				<label>Table 5</label>
				<caption>
					<title>Carcass characteristics of lambs fed a solution of cheese whey during feedlot and pre-slaughter lairage</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="11%">
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" rowspan="2" valign="middle">Item</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">Feedlot (F)</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">Pre-slaughter (PS)</th>
							<th align="center" rowspan="2" valign="middle">SEM</th>
							<th align="center" colspan="3" style="border-bottom: thin solid; border-color: #000000">P-value</th>
						</tr>
						<tr>
							<th align="center">CW</th>
							<th align="center">Control</th>
							<th align="center">CW</th>
							<th align="center">Water</th>
							<th align="center">F</th>
							<th align="center">PS</th>
							<th align="center">F × PS</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">Initial pH</td>
							<td align="center">6.75</td>
							<td align="center">6.73</td>
							<td align="center">6.66</td>
							<td align="center">6.83</td>
							<td align="center">0.07</td>
							<td align="center">0.730</td>
							<td align="center">0.088</td>
							<td align="center">0.861</td>
						</tr>
						<tr>
							<td align="left">Hot carcass weight (kg)</td>
							<td align="center">17.35</td>
							<td align="center">16.84</td>
							<td align="center">16.92</td>
							<td align="center">17.27</td>
							<td align="center">0.84</td>
							<td align="center">0.380</td>
							<td align="center">0.987</td>
							<td align="center">0.784</td>
						</tr>
						<tr>
							<td align="left">Ultimate pH</td>
							<td align="center">5.95</td>
							<td align="center">5.95</td>
							<td align="center">5.90</td>
							<td align="center">6.00</td>
							<td align="center">0.08</td>
							<td align="center">0.549</td>
							<td align="center">0.092</td>
							<td align="center">0.552</td>
						</tr>
						<tr>
							<td align="left">Cold carcass weight (kg)</td>
							<td align="center">16.85</td>
							<td align="center">16.19</td>
							<td align="center">16.36</td>
							<td align="center">16.68</td>
							<td align="center">0.77</td>
							<td align="center">0.268</td>
							<td align="center">0.981</td>
							<td align="center">1.007</td>
						</tr>
						<tr>
							<td align="left">Drip loss<xref ref-type="table-fn" rid="TFN10">1</xref> (g/100 g)</td>
							<td align="center">2.21a</td>
							<td align="center">3.59b</td>
							<td align="center">4.72c</td>
							<td align="center">3.20b</td>
							<td align="center">0.50</td>
							<td align="center">0.060</td>
							<td align="center">0.910</td>
							<td align="center">0.014</td>
						</tr>
						<tr>
							<td align="left">Subcutaneous fat thickness (mm)</td>
							<td align="center">2.23</td>
							<td align="center">1.96</td>
							<td align="center">2.02</td>
							<td align="center">2.17</td>
							<td align="center">0.28</td>
							<td align="center">0.233</td>
							<td align="center">0.727</td>
							<td align="center">0.944</td>
						</tr>
						<tr>
							<td align="left">Total length (cm)</td>
							<td align="center">55.50</td>
							<td align="center">55.33</td>
							<td align="center">55.20</td>
							<td align="center">55.63</td>
							<td align="center">1.07</td>
							<td align="center">0.665</td>
							<td align="center">0.930</td>
							<td align="center">0.934</td>
						</tr>
						<tr>
							<td align="left">Perimeter of thorax (cm)</td>
							<td align="center">78.33</td>
							<td align="center">78.74</td>
							<td align="center">78.76</td>
							<td align="center">78.31</td>
							<td align="center">1.41</td>
							<td align="center">0.739</td>
							<td align="center">0.745</td>
							<td align="center">0.844</td>
						</tr>
						<tr>
							<td align="left">Perimeter of leg (cm)</td>
							<td align="center">47.50</td>
							<td align="center">44.00</td>
							<td align="center">44.90</td>
							<td align="center">46.60</td>
							<td align="center">1.69</td>
							<td align="center">0.067</td>
							<td align="center">0.355</td>
							<td align="center">0.355</td>
						</tr>
						<tr>
							<td align="left">Ribeye area (cm<sup>2</sup>/kg of BW)</td>
							<td align="center">0.31</td>
							<td align="center">0.32</td>
							<td align="center">0.30</td>
							<td align="center">0.33</td>
							<td align="center">0.03</td>
							<td align="center">0.842</td>
							<td align="center">0.166</td>
							<td align="center">0.836</td>
						</tr>
						<tr>
							<td align="left">Full stomach (kg)</td>
							<td align="center">6.19</td>
							<td align="center">6.15</td>
							<td align="center">6.22</td>
							<td align="center">6.12</td>
							<td align="center">0.45</td>
							<td align="center">0.931</td>
							<td align="center">0.829</td>
							<td align="center">0.994</td>
						</tr>
						<tr>
							<td align="left">Empty stomach (kg)</td>
							<td align="center">1.28</td>
							<td align="center">1.26</td>
							<td align="center">1.24</td>
							<td align="center">1.30</td>
							<td align="center">0.06</td>
							<td align="center">0.832</td>
							<td align="center">0.330</td>
							<td align="center">0.564</td>
						</tr>
						<tr>
							<td align="left">Full intestines (kg)</td>
							<td align="center">2.78</td>
							<td align="center">2.61</td>
							<td align="center">2.73</td>
							<td align="center">2.66</td>
							<td align="center">0.13</td>
							<td align="center">0.142</td>
							<td align="center">0.433</td>
							<td align="center">0.290</td>
						</tr>
						<tr>
							<td align="left">Empty intestines (kg)</td>
							<td align="center">1.33</td>
							<td align="center">1.36</td>
							<td align="center">1.35</td>
							<td align="center">1.33</td>
							<td align="center">0.05</td>
							<td align="center">0.724</td>
							<td align="center">0.794</td>
							<td align="center">0.298</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN8">
						<p>CW: solution of cheese whey and water; Control: no cheese whey.</p>
					</fn>
					<fn id="TFN9">
						<p>BW - body weight; SEM - standard error of the mean.</p>
					</fn>
					<fn id="TFN10">
						<label>1</label>
						<p>Treatments (feedlot/slaughterhouse): CW/CW, CW/water, water/CW, and control (water/water), respectively.</p>
					</fn>
					<fn id="TFN11">
						<p>Means in the same row with different letters differ by Tukey test (P&lt;0.05).</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>Lambs in treatment CW/CW showed lower drip loss. Animals in water/CW treatment showed higher drip loss.</p>
			<p>Meat color (Hunter L*, a*, and b*), water holding capacity, water activity, water loss by cooking, and shear strength were similar among treatments (<xref ref-type="table" rid="t6">Table 6</xref>).</p>
			<table-wrap id="t6">
				<label>Table 6</label>
				<caption>
					<title>Meat characteristics of lambs fed a solution of cheese whey during feedlot and pre-slaughter lairage</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="11%">
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" rowspan="2" valign="middle">Item</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">Feedlot (F)</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">Pre-slaughter (PS)</th>
							<th align="center" rowspan="2" valign="middle">SEM</th>
							<th align="center" colspan="3" style="border-bottom: thin solid; border-color: #000000">P-value</th>
						</tr>
						<tr>
							<th align="center">CW</th>
							<th align="center">Control</th>
							<th align="center">CW</th>
							<th align="center">Water</th>
							<th align="center">F</th>
							<th align="center">PS</th>
							<th align="center">F × PS</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">Hunter L*</td>
							<td align="center">35.06</td>
							<td align="center">35.02</td>
							<td align="center">36.16</td>
							<td align="center">33.92</td>
							<td align="center">1.45</td>
							<td align="center">0.981</td>
							<td align="center">0.156</td>
							<td align="center">0.977</td>
						</tr>
						<tr>
							<td align="left">Hunter a*</td>
							<td align="center">11.43</td>
							<td align="center">11.63</td>
							<td align="center">11.31</td>
							<td align="center">11.74</td>
							<td align="center">0.35</td>
							<td align="center">0.595</td>
							<td align="center">0.260</td>
							<td align="center">0.575</td>
						</tr>
						<tr>
							<td align="left">Hunter b*</td>
							<td align="center">11.75</td>
							<td align="center">12.20</td>
							<td align="center">12.33</td>
							<td align="center">11.62</td>
							<td align="center">0.66</td>
							<td align="center">0.522</td>
							<td align="center">0.319</td>
							<td align="center">0.556</td>
						</tr>
						<tr>
							<td align="left">WHC (g/100 g)</td>
							<td align="center">63.4</td>
							<td align="center">62.60</td>
							<td align="center">61.19</td>
							<td align="center">64.84</td>
							<td align="center">1.84</td>
							<td align="center">0.190</td>
							<td align="center">0.705</td>
							<td align="center">0.316</td>
						</tr>
						<tr>
							<td align="left">WA<xref ref-type="table-fn" rid="TFN14">1</xref>
							</td>
							<td align="center">0.99</td>
							<td align="center">0.99</td>
							<td align="center">0.98</td>
							<td align="center">0.99</td>
							<td align="center">0.00</td>
							<td align="center">0.969</td>
							<td align="center">0.358</td>
							<td align="center">0.048</td>
						</tr>
						<tr>
							<td align="left">CL (g/100 g)</td>
							<td align="center">46.45</td>
							<td align="center">45.23</td>
							<td align="center">45.95</td>
							<td align="center">45.73</td>
							<td align="center">3.35</td>
							<td align="center">0.736</td>
							<td align="center">0.955</td>
							<td align="center">0.363</td>
						</tr>
						<tr>
							<td align="left">SF (kg)</td>
							<td align="center">2.98</td>
							<td align="center">2.33</td>
							<td align="center">2.56</td>
							<td align="center">2.75</td>
							<td align="center">0.37</td>
							<td align="center">0.243</td>
							<td align="center">0.723</td>
							<td align="center">0.947</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN12">
						<p>CW: solution of cheese whey and water; Control: no cheese whey.</p>
					</fn>
					<fn id="TFN13">
						<p>WHC - water holding capacity; WA - water activity; CL - cooking losses; SF - shear force; SEM - standard error of the mean.</p>
					</fn>
					<fn id="TFN14">
						<label>1</label>
						<p>Treatments (feedlot/slaughterhouse): CW/CW, CW/water, water/CW, and control (water/water), respectively.</p>
					</fn>
					<fn id="TFN15">
						<p>Means in the same row with different letters differ by Tukey test (P&lt;0.05).</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
		</sec>
		<sec sec-type="discussion">
			<title>Discussion</title>
			<p>The DMI of growing lambs in this experiment was close to values recommended by the <xref ref-type="bibr" rid="B24">NRC (2007)</xref>. Because the nutrient intake was satisfactory, the other performancerelated variables were similar. According to <xref ref-type="bibr" rid="B15">King and Schingoethe (1983)</xref> and <xref ref-type="bibr" rid="B8">David et al. (2010)</xref>, cattle have the ability to consume large amounts of cheese whey without having their weight gain rates reduced. <xref ref-type="bibr" rid="B7">Costa et al. (2010)</xref> recommended proportions larger than those of the present trial (up to 450.00 g kg<sup>−1</sup> of dry matter) for goats without changes in G:F.</p>
			<p>No reports of low acceptability of liquid cheese whey have been found in the scientific literature. <xref ref-type="bibr" rid="B16">Lana (2005)</xref> drew attention to the problems caused by water shortage, including performance loss. However, in the present study, despite the lower amount of water consumed by the lambs fed CW, their DMI and ADG were not affected.</p>
			<p>In the slaughterhouse, for water/CW treatment, the environment was possibly less familiar when the CW was supplied because the animals did not know this solution. As stated by <xref ref-type="bibr" rid="B6">Broom (1986)</xref>, the welfare of an individual is its state concerning the attempts made to deal with the environment.</p>
			<p>Despite the CW intake, the pH of the carcasses was similar. <xref ref-type="bibr" rid="B10">Ferguson and Warner (2008)</xref> stressed that a larger number of variables are necessary to evaluate meat quality, because some changes may occur irrespective of the pH. <xref ref-type="bibr" rid="B10">Ferguson and Warner (2008)</xref> asserted that magnesium intake may decrease drip losses. <xref ref-type="bibr" rid="B31">Schingoethe et al. (1980)</xref> reported greater magnesium absorption by steers fed cheese whey.</p>
			<p>The similarity between most carcass traits herein was due to the similarity among treatments for DMI and performance in the feedlot, as also reported in an analogous situation by <xref ref-type="bibr" rid="B3">Beserra et al. (2003)</xref>, <xref ref-type="bibr" rid="B20">Lima et al. (2013)</xref>, and <xref ref-type="bibr" rid="B36">Van Cleef et al. (2014)</xref>. As the loin eye area and fat thickness were similar among treatments, it is suggested that the carcass edible portion and the physiological age of the animals were also similar (<xref ref-type="bibr" rid="B19">Luchiari Filho, 2000</xref>). <xref ref-type="bibr" rid="B21">Lima et al. (2012)</xref>, evaluating the performance of calves fed whey in association with colostrum, also found no changes in body measurements.</p>
			<p>Feed restriction was adopted to avoid risk of carcass contamination during slaughter (<xref ref-type="bibr" rid="B11">Fisher et al., 2011</xref>), since larger gastrointestinal volumes may facilitate its rupture during evisceration. Nevertheless, in this experiment, evaluating the weight of the stomachs and intestines, there were no problems in emptying the gastrointestinal tract.</p>
			<p>The pH of a meat is important because it affects many quality factors, including color, texture, and flavor (<xref ref-type="bibr" rid="B17">Lawrie, 2005</xref>). Possibly because there were no changes in pH in this experiment, the variables related to color, texture, water holding capacity, water activity, and cooking losses did not change. <xref ref-type="bibr" rid="B38">Warner et al. (2007)</xref> reported lower water holding capacity in meat after subjecting cattle to pre-slaughter stress.</p>
			<p>Meat color values were within the range determined by <xref ref-type="bibr" rid="B29">Sañudo et al. (2000)</xref> for sheep. The mean values for shear force in all treatments were below those considered by <xref ref-type="bibr" rid="B34">Souza et al. (2004)</xref> as the upper limit for considering the meat as tender.</p>
		</sec>
		<sec sec-type="conclusions">
			<title>Conclusions</title>
			<p>Whey cheese added to water can be used as an ingredient in the diet for lambs and as pre-slaughter supplement since it does not change performance and improves carcass characteristics.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgments</title>
			<p>The authors thank the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), for the financing of the project, and the CNPq, the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and the Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), for the scholarships and research grants granted to the authors.</p>
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