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<article article-type="research-article" dtd-version="1.1" specific-use="sps-1.8" 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="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">00609</article-id>
			<article-id pub-id-type="doi">10.1590/rbz4720160137</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Ruminants</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Effect of the addition of protected fat from palm oil to the diet of dairy sheep</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<name>
						<surname>Bianchi</surname>
						<given-names>Anderson Elias</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Macedo</surname>
						<given-names>Vicente de Paulo</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Silva</surname>
						<given-names>Aleksandro Schafer Da</given-names>
					</name>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-6071-5444</contrib-id>
					<name>
						<surname>Silveira</surname>
						<given-names>André Luís Finkler da</given-names>
					</name>
					<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
					<xref ref-type="corresp" rid="c1">*</xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Hill</surname>
						<given-names>João Ari Gualberto</given-names>
					</name>
					<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Zortéa</surname>
						<given-names>Talyta</given-names>
					</name>
					<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Rossi</surname>
						<given-names>Robson Marcelo</given-names>
					</name>
					<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Batista</surname>
						<given-names>Rafael</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 Tecnológica Federal do Paraná</institution>
					<institution content-type="orgname">Universidade Tecnológica Federal do Paraná</institution>
					<institution content-type="orgdiv1">Programa de Pós-graduação em Zootecnia</institution>
					<addr-line>
						<named-content content-type="city">Dois Vizinhos</named-content>
						<named-content content-type="state">PR</named-content>
					</addr-line>
					<country country="BR">Brasil</country>
					<institution content-type="original">Universidade Tecnológica Federal do Paraná, Programa de Pós-graduação em Zootecnia, Dois Vizinhos, PR, Brasil</institution>
				</aff>
				<aff id="aff2">
					<label>2</label>
					<institution content-type="normalized">Universidade Federal do Paraná</institution>
					<institution content-type="orgname">Universidade Federal do Paraná</institution>
					<institution content-type="orgdiv1">Programa de Pós-graduação em Zootecnia</institution>
					<addr-line>
						<named-content content-type="city">Curitiba</named-content>
						<named-content content-type="state">PR</named-content>
					</addr-line>
					<country country="BR">Brasil</country>
					<institution content-type="original">Universidade Federal do Paraná, Programa de Pós-graduação em Zootecnia, Curitiba, PR, Brasil</institution>
				</aff>
				<aff id="aff3">
					<label>3</label>
					<institution content-type="normalized">Universidade do Estado de Santa Catarina</institution>
					<institution content-type="orgname">Universidade do Estado de Santa Catarina</institution>
					<institution content-type="orgdiv1">Programa de Pós-graduação em 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, Programa de Pós-graduação em Zootecnia, Chapecó, SC, Brasil</institution>
				</aff>
				<aff id="aff4">
					<label>4</label>
					<institution content-type="normalized">Instituto Agronômico do Paraná</institution>
					<institution content-type="orgname">Instituto de Agronômico do Paraná</institution>
					<addr-line>
						<named-content content-type="city">Pato Branco</named-content>
						<named-content content-type="state">PR</named-content>
					</addr-line>
					<country country="BR">Brasil</country>
					<institution content-type="original">Instituto de Agronômico do Paraná, Pato Branco, PR, Brasil</institution>
				</aff>
				<aff id="aff5">
					<label>5</label>
					<institution content-type="normalized">Universidade Tecnológica Federal do Paraná</institution>
					<institution content-type="orgname">Universidade Tecnológica Federal do Paraná</institution>
					<institution content-type="orgdiv1">Programa de Pós-graduação em Agronomia</institution>
					<addr-line>
						<named-content content-type="city">Pato Branco</named-content>
						<named-content content-type="state">PR</named-content>
					</addr-line>
					<country country="BR">Brasil</country>
					<institution content-type="original">Universidade Tecnológica Federal do Paraná, Programa de Pós-graduação em Agronomia, Pato Branco, PR, Brasil</institution>
				</aff>
				<aff id="aff6">
					<label>6</label>
					<institution content-type="normalized">Universidade Estadual de Maringá</institution>
					<institution content-type="orgname">Universidade Estadual de Maringá</institution>
					<institution content-type="orgdiv1">Departamento de Estatística</institution>
					<addr-line>
						<named-content content-type="state">PR</named-content>
					</addr-line>
					<country country="BR">Brasil</country>
					<institution content-type="original">Universidade Estadual de Maringá, Departamento de Estatística, PR, Brasil</institution>
				</aff>
			</contrib-group>
			<author-notes>
				<corresp id="c1">
					<label>*</label><bold>Corresponding author:</bold><email>andrefinkler@msn.com</email>
				</corresp>
			</author-notes>
			<pub-date pub-type="epub">
				<day>10</day>
				<month>11</month>
				<year>2018</year>
			</pub-date>
			<volume>47</volume>
			<elocation-id>e20160137</elocation-id>
			<history>
				<date date-type="received">
					<day>04</day>
					<month>04</month>
					<year>2017</year>
				</date>
				<date date-type="accepted">
					<day>25</day>
					<month>12</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 the effect of protected fat from palm oil on body weight and milk production and composition of lactating Lacaune ewes. Four treatments (0, 20, 40, and 60 g kg<sup>−1</sup> as fed) of protected fat from palm oil were used to feed nine animals in each group. Isoproteic and isoenergetic diets were formulated and adjusted for each animal after milk weighing. Corn silage was used as roughage on the same proportion of concentrated to feed all animals. Milk samples were collected weekly for chemical analyses up to the seventh week of the lactation period and every other week after that until the end of the lactation period (182 days). Increased levels of protected fat in the diet of lactating ewes resulted in lower body weight gain and poor animal body condition. The production peak showed differences and was higher in the treatment of 40 g kg<sup>−1</sup> of palm oil, but milk production during lactation was higher in animals that received 60 g kg<sup>−1</sup> of protected fat supplementation. Animals fed 60 g kg<sup>−1</sup> of protected fat showed the highest milk yield. We observed a positive linear effect on milk fat content, whereas the effect on milk protein, lactose, and nonfat solids was linearly negative after dairy sheep fed protected fat from palm oil. There were no changes in the amount (kg) of milk fat, protein, lactose, total solids, and nonfat solids in any of the treatments. Therefore, protected fat from palm oil is efficient to increase milk production and fat content.</p>
			</abstract>
			<kwd-group xml:lang="en">
				<title>Key Words:</title>
				<kwd>chemical composition</kwd>
				<kwd>dairy sheep breed</kwd>
				<kwd>milk production</kwd>
			</kwd-group>
			<counts>
				<fig-count count="3"/>
				<table-count count="5"/>
				<equation-count count="4"/>
				<ref-count count="29"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>Introduction</title>
			<p>In the South, Southeast, and Midwest regions of Brazil, there has been a significant increase in the production of dairy sheep due to several favorable factors such as fertile soil, mild climate, and topography, as well as a new niche of consumers searching for different, flavorful, and healthy foods like sheep milk and its derivatives (<xref ref-type="bibr" rid="B5">Bianchi et al., 2014a</xref>).</p>
			<p>Sheep milk is primarily intended for cheese production since it may yield twice as much cheese compared with cow or goat milk (<xref ref-type="bibr" rid="B8">Brito et al., 2006</xref>). Therefore, sheep milk should be considered for processing into cheese and derivatives (<xref ref-type="bibr" rid="B4">Bencini and Pulina, 1997</xref>). During lactation, there is a high nutritional demand, and consequently, it is necessary to provide balanced diets, considering that a scarce supply may lead to lower productivity and changes in milk composition (<xref ref-type="bibr" rid="B17">Natel, 2010</xref>). After birth, ewes with high milk production may show pronounced and long-lasting negative energy balance, which may interfere with milk production and composition, which could affect animal health (<xref ref-type="bibr" rid="B4">Bencini and Pulina, 1997</xref>; <xref ref-type="bibr" rid="B20">Ribeiro et al., 2004</xref>), forcing farmers to give diets with high energy density.</p>
			<p>Many oils can be used as sources of fatty acids in the form of protected fat (<xref ref-type="bibr" rid="B7">Bona-Filho et al., 1994</xref>; <xref ref-type="bibr" rid="B29">Zhang et al., 2006</xref>; <xref ref-type="bibr" rid="B22">Sanz Sampelayo et al., 2007</xref>; <xref ref-type="bibr" rid="B1">Afonso et al., 2008</xref>), including palm oil. For instance, <italic>Elaeis guineensis</italic> oil contains approximately 50% of saturated and 50% of unsaturated fatty acids. Palm oil is rich in tocotrienol, a form of vitamin E beneficial to health in general (<xref ref-type="bibr" rid="B5">Bianchi et al., 2014a</xref>). The use of fat is an effective method to increase dietary energy density. On the other hand, the addition of fat may reduce fiber digestion, which can be toxic to ruminal microorganisms (<xref ref-type="bibr" rid="B18">Palmquist and Mattos, 2006</xref>). For this reason, the use of calcium salts of fatty acids (protected fat) may be an option since it is partially hydrogenated at normal ruminal pH, only getting dissociated at acidic pH in the abomasum, thus, providing a high amount of energy into the bloodstream of the animal (<xref ref-type="bibr" rid="B23">Schauff and Clark, 1992</xref>). Therefore, the objective of the study was to evaluate the effect of diets supplemented with protected fat from palm oil on milk production and composition as well as on body weight of Lacaune sheep. In addition, we also evaluated the lactation curve of these animals since it shows the production profile.</p>
		</sec>
		<sec sec-type="materials|methods">
			<title>Material and Methods</title>
			<p>The experiment was conducted in Chapecó, Santa Catarina – Brazil (27°02′10″ S latitude, 52°39′27″ W longitude, and 674 m of altitude); the area presented average temperatures and rainfall of 19.6 °C and 942 mm, respectively, during the experimental period (June to December 2012). In the current study, we used 36 lactating Lacaune ewes, 2-4 years of age, on their second or third lactation, with one or two offsprings. All lambs were separated from their mothers at seven days of age, when they were artificially fed. After three days of weaning, milk production and body weight were recorded, and all animals were separated into four treatments based on their body weight, age, parity order, number of lambs, and milk production. The treatments consisted of 0, 20, 40, and 60 g kg<sup>−1</sup> of protected fat from palm oil in the concentrated feed (<xref ref-type="table" rid="t1">Table 1</xref>), being the composition of the diet shown in <xref ref-type="table" rid="t2">Table 2</xref>. The amount of concentrate provided was adjusted every week, according to milk production and body weight.</p>
			<table-wrap id="t1">
				<label>Table 1</label>
				<caption>
					<title>Composition of the experimental concentrates and diets given to sheep during lactation</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" rowspan="2" valign="middle">Item</th>
							<th align="center" colspan="4">Level of calcium soap (g kg<sup>−1</sup> as fed)</th>
						</tr>
						<tr>
							<th align="center" style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">0</th>
							<th align="center" style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">20</th>
							<th align="center" style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">40</th>
							<th align="center" style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">60</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left" colspan="2">Ingredient</td>
							<td align="left"/>
							<td align="left"/>
							<td align="left"/>
							<td align="left"/>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Ground corn</td>
							<td align="center">510</td>
							<td align="center">410</td>
							<td align="center">300</td>
							<td align="center">190</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Soybean meal</td>
							<td align="center">430</td>
							<td align="center">430</td>
							<td align="center">410</td>
							<td align="center">400</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Wheat bran</td>
							<td align="center">20</td>
							<td align="center">100</td>
							<td align="center">210</td>
							<td align="center">310</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Calcium soap (palm oil)</td>
							<td align="center">0</td>
							<td align="center">20</td>
							<td align="center">40</td>
							<td align="center">60</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Vitamin and mineral</td>
							<td align="center">25</td>
							<td align="center">25</td>
							<td align="center">25</td>
							<td align="center">25</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Calcitic limestone</td>
							<td align="center">10</td>
							<td align="center">10</td>
							<td align="center">10</td>
							<td align="center">10</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Sodium bicarbonate</td>
							<td align="center">5</td>
							<td align="center">5</td>
							<td align="center">5</td>
							<td align="center">5</td>
						</tr>
						<tr>
							<td align="left" colspan="2">Nutrient (g kg<sup>-1</sup> as fed)</td>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Dry matter</td>
							<td align="center">887</td>
							<td align="center">890</td>
							<td align="center">892</td>
							<td align="center">895</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Crude protein</td>
							<td align="center">215</td>
							<td align="center">219</td>
							<td align="center">218</td>
							<td align="center">219</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Crude fat</td>
							<td align="center">22.7</td>
							<td align="center">27.3</td>
							<td align="center">28.9</td>
							<td align="center">29.4</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Total digestible nutrients</td>
							<td align="center">734</td>
							<td align="center">739</td>
							<td align="center">737</td>
							<td align="center">738</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<table-wrap id="t2">
				<label>Table 2</label>
				<caption>
					<title>Chemical composition of feed used in the experimental diets for lactating ewes</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="16%">
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left">Ingredient (g kg<sup>-1</sup> as fed)</th>
							<th align="center">Corn silage</th>
							<th align="center">Corn ground</th>
							<th align="center">Soybean meal</th>
							<th align="center">Wheat bran</th>
							<th align="center">Calcium soap (palm oil)</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">Dry matter</td>
							<td align="center">313.8</td>
							<td align="center">887.2</td>
							<td align="center">895.2</td>
							<td align="center">896.3</td>
							<td align="center">972.6</td>
						</tr>
						<tr>
							<td align="left">Crude protein</td>
							<td align="center">73.6</td>
							<td align="center">91.2</td>
							<td align="center">445.6</td>
							<td align="center">154.7</td>
							<td align="center">-</td>
						</tr>
						<tr>
							<td align="left">Total digestible nutrients</td>
							<td align="center">667.6</td>
							<td align="center">863.4</td>
							<td align="center">848.6</td>
							<td align="center">654.9</td>
							<td align="center">1884.8</td>
						</tr>
						<tr>
							<td align="left">Crude fat</td>
							<td align="center">35.6</td>
							<td align="center">36.1</td>
							<td align="center">16.6</td>
							<td align="center">24.6</td>
							<td align="center">848.7</td>
						</tr>
						<tr>
							<td align="left">Neutral detergent fiber</td>
							<td align="center">498.5</td>
							<td align="center">89.0</td>
							<td align="center">138.0</td>
							<td align="center">365.2</td>
							<td align="center">-</td>
						</tr>
						<tr>
							<td align="left">Acid detergent fiber</td>
							<td align="center">237.1</td>
							<td align="center">28.9</td>
							<td align="center">81.6</td>
							<td align="center">138.5</td>
							<td align="center">-</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<p>The animals were restrained twice a day (07:00 and 18:00 h) in pens for individual feeding with concentrate containing protected fat, followed by corn silage (50:50). The amount of concentrate given was adjusted according to the volume of milk produced by each animal and its body weight (up to 1.4 kg per day), which decreased towards a minimum of 0.6 kg/day at the end of the experiment, when body weight was also reduced. Each animal also received 2.5 kg of corn silage in every meal, which was plenty since we always found leftovers that were collected and weighed.</p>
			<p>Each treatment contained nine animals housed in pens of 24 m<sup>2</sup>. Automated milking was performed twice a day (05:00 and 17:00 h), and ten days postpartum, all milk produced was weekly individually weighed up to seven weeks using a specific equipment (True-test®, Auckland, New Zealand). In the subsequent weeks, milk samples were collected every other week until the end of lactation, totaling 18 weeks (182 days of lactation). Immediately after sampling, milk samples were placed into plastic bottles containing Bronopol (2-bromo-2-nitro-1, 3-propanediol) and sent under refrigeration to an official laboratory in Concórdia, Santa Catarina, Brazil.</p>
			<p>Analyses of sheep milk composition (fat, protein, lactose, total solids, and nonfat dry extract) were performed using an infrared analyzer (Bentley 2000®), previously used to test bovine milk. The reliability of the equipament to test sheep milk was checked and confirmed, i.e., the correlation between the results from this equipment and conventional methods was higher than 90% for all the parameters studied, without any significant differences between both methods (P&gt;0.05) (<xref ref-type="bibr" rid="B19">Penna, 2011</xref>).</p>
			<p>All animals were weighed using an electronic scale, their body condition was scored, and the volume of milk produced was registered. The methodology to evaluate body condition score (BCS) was previously described by <xref ref-type="bibr" rid="B9">Cañeque et al. (1989)</xref>, assigning values of 1 to 5 with 0.25 increase, in which 1 was for extremely thin and 5 for obese ewes.</p>
			<p>To compose the lactation curve, each day of the lactation period (182) was considered one observation. Data from milk production were fitted on a nonlinear regression, and production peak, day of peak production, and lactation persistency (in months) were considered variables of the curve, by means of the proposed model of <xref ref-type="bibr" rid="B27">Wood (1963)</xref> with the following <xref ref-type="disp-formula" rid="eq1">equation 1</xref>:</p>
			<disp-formula id="eq1">
				<label>Equation (1)</label>
				<mml:math display="block" id="m1">
					<mml:mrow>
						<mml:msub>
							<mml:mi>Y</mml:mi>
							<mml:mrow>
								<mml:mi>i</mml:mi>
								<mml:mi>j</mml:mi>
								<mml:mi>k</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:mo>=</mml:mo>
						<mml:msub>
							<mml:mi>a</mml:mi>
							<mml:mi>k</mml:mi>
						</mml:msub>
						<mml:msubsup>
							<mml:mi>t</mml:mi>
							<mml:mrow>
								<mml:mi>i</mml:mi>
								<mml:mi>j</mml:mi>
								<mml:mi>k</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:msub>
									<mml:mi>b</mml:mi>
									<mml:mi>k</mml:mi>
								</mml:msub>
							</mml:mrow>
						</mml:msubsup>
						<mml:mtext> </mml:mtext>
						<mml:msup>
							<mml:mi>e</mml:mi>
							<mml:mrow>
								<mml:mo>−</mml:mo>
								<mml:msub>
									<mml:mi>c</mml:mi>
									<mml:mi>k</mml:mi>
								</mml:msub>
								<mml:msub>
									<mml:mi>t</mml:mi>
									<mml:mrow>
										<mml:mi>i</mml:mi>
										<mml:mi>j</mml:mi>
										<mml:mi>k</mml:mi>
									</mml:mrow>
								</mml:msub>
							</mml:mrow>
						</mml:msup>
						<mml:mo>,</mml:mo>
					</mml:mrow>
				</mml:math>
			</disp-formula>
			<p>in which, <italic>i</italic> is the animal (1, 2, …, N); <italic>j</italic> is the time: 1, 2, …, J; <italic>k</italic> is the treatment (1, 2, …, K); y is the milk production (L/day); <italic>a</italic> is the initial production of milk (L); <italic>b</italic> is the rate of increase of production to peak; <italic>c</italic> is the rate of production decline after peak (persistency factor); <italic>t</italic> is the day of lactation.</p>
			<p>To estimate the production peak (<italic>pp</italic>), day of peak production (<italic>dpp</italic>), and persistency (<italic>s</italic>) in months, we used the parameters of Wood's curve (<xref ref-type="disp-formula" rid="eq2">equation 2, 3 and 4</xref>). For the Bayesian model, it was considered that the observations followed a normal distribution, i.e., <inline-formula>
					<mml:math display="inline" id="m8">
						<mml:mrow>
							<mml:msub>
								<mml:mi>y</mml:mi>
								<mml:mi>i</mml:mi>
							</mml:msub>
							<mml:mo>~</mml:mo>
							<mml:mi>N</mml:mi>
							<mml:mo stretchy="false">(</mml:mo>
							<mml:mi>f</mml:mi>
							<mml:mo stretchy="false">(</mml:mo>
							<mml:msub>
								<mml:mi>t</mml:mi>
								<mml:mi>i</mml:mi>
							</mml:msub>
							<mml:mo stretchy="false">)</mml:mo>
							<mml:mo>,</mml:mo>
							<mml:mi>τ</mml:mi>
							<mml:mo stretchy="false">)</mml:mo>
						</mml:mrow>
					</mml:math>
				</inline-formula> being <inline-formula>
					<mml:math display="inline" id="m9">
						<mml:mrow>
							<mml:mi>f</mml:mi>
							<mml:mo stretchy="false">(</mml:mo>
							<mml:msub>
								<mml:mi>t</mml:mi>
								<mml:mi>i</mml:mi>
							</mml:msub>
							<mml:mo stretchy="false">)</mml:mo>
						</mml:mrow>
					</mml:math>
				</inline-formula> in (1) and standard deviation <inline-formula>
					<mml:math display="inline" id="m10">
						<mml:mrow>
							<mml:mi>σ</mml:mi>
							<mml:mo>=</mml:mo>
							<mml:msup>
								<mml:mi>τ</mml:mi>
								<mml:mrow>
									<mml:mo>−</mml:mo>
									<mml:mn>1</mml:mn>
									<mml:mo>/</mml:mo>
									<mml:mn>2</mml:mn>
								</mml:mrow>
							</mml:msup>
						</mml:mrow>
					</mml:math>
				</inline-formula> (parameterization OpenBugs). We considered the prior noninformative distributions for all model parameters given in (1), considering the investigated treatments:</p>
			<disp-formula id="eq2">
				<label>Equations (2, 3, and 4, respectively)</label>
				<mml:math display="block" id="m2">
					<mml:mtable columnalign="left">
						<mml:mtr>
							<mml:mtd>
								<mml:mi>a</mml:mi>
								<mml:mo>∼</mml:mo>
								<mml:mi>G</mml:mi>
								<mml:mi>a</mml:mi>
								<mml:mi>m</mml:mi>
								<mml:mi>m</mml:mi>
								<mml:mi>a</mml:mi>
								<mml:mrow>
									<mml:mo>(</mml:mo>
									<mml:mrow>
										<mml:msup>
											<mml:mrow>
												<mml:mn>10</mml:mn>
											</mml:mrow>
											<mml:mrow>
												<mml:mo>−</mml:mo>
												<mml:mn>2</mml:mn>
											</mml:mrow>
										</mml:msup>
										<mml:mo>,</mml:mo>
										<mml:msup>
											<mml:mrow>
												<mml:mn>10</mml:mn>
											</mml:mrow>
											<mml:mrow>
												<mml:mo>−</mml:mo>
												<mml:mn>2</mml:mn>
											</mml:mrow>
										</mml:msup>
									</mml:mrow>
									<mml:mo>)</mml:mo>
								</mml:mrow>
								<mml:mo>;</mml:mo>
								<mml:mtext> </mml:mtext>
								<mml:mi>b</mml:mi>
								<mml:mo>∼</mml:mo>
								<mml:mi>U</mml:mi>
								<mml:mi>n</mml:mi>
								<mml:mi>i</mml:mi>
								<mml:mi>f</mml:mi>
								<mml:mi>o</mml:mi>
								<mml:mi>m</mml:mi>
								<mml:mrow>
									<mml:mo>(</mml:mo>
									<mml:mrow>
										<mml:mn>0</mml:mn>
										<mml:mo>,</mml:mo>
										<mml:mn>1</mml:mn>
									</mml:mrow>
									<mml:mo>)</mml:mo>
								</mml:mrow>
								<mml:mo>;</mml:mo>
								<mml:mtext> </mml:mtext>
								<mml:mi>c</mml:mi>
								<mml:mo>∼</mml:mo>
								<mml:mi>U</mml:mi>
								<mml:mi>n</mml:mi>
								<mml:mi>i</mml:mi>
								<mml:mi>f</mml:mi>
								<mml:mi>o</mml:mi>
								<mml:mi>m</mml:mi>
								<mml:mrow>
									<mml:mo>(</mml:mo>
									<mml:mrow>
										<mml:mn>0</mml:mn>
										<mml:mo>,</mml:mo>
										<mml:mn>1</mml:mn>
									</mml:mrow>
									<mml:mo>)</mml:mo>
								</mml:mrow>
								<mml:mo>;</mml:mo>
								<mml:mtext>and</mml:mtext>
							</mml:mtd>
						</mml:mtr>
						<mml:mtr>
							<mml:mtd>
								<mml:mi>τ</mml:mi>
								<mml:mo>∼</mml:mo>
								<mml:mi>G</mml:mi>
								<mml:mi>a</mml:mi>
								<mml:mi>m</mml:mi>
								<mml:mi>m</mml:mi>
								<mml:mi>a</mml:mi>
								<mml:mrow>
									<mml:mo>(</mml:mo>
									<mml:mrow>
										<mml:msup>
											<mml:mrow>
												<mml:mn>10</mml:mn>
											</mml:mrow>
											<mml:mrow>
												<mml:mo>−</mml:mo>
												<mml:mn>3</mml:mn>
											</mml:mrow>
										</mml:msup>
										<mml:mo>,</mml:mo>
										<mml:msup>
											<mml:mrow>
												<mml:mn>10</mml:mn>
											</mml:mrow>
											<mml:mrow>
												<mml:mo>−</mml:mo>
												<mml:mn>3</mml:mn>
											</mml:mrow>
										</mml:msup>
									</mml:mrow>
									<mml:mo>)</mml:mo>
								</mml:mrow>
								<mml:mo>.</mml:mo>
							</mml:mtd>
						</mml:mtr>
						<mml:mtr>
							<mml:mtd>
								<mml:mi>p</mml:mi>
								<mml:mi>p</mml:mi>
								<mml:mo>=</mml:mo>
								<mml:mi>a</mml:mi>
								<mml:msup>
									<mml:mrow>
										<mml:mo>(</mml:mo>
										<mml:mrow>
											<mml:mfrac>
												<mml:mi>b</mml:mi>
												<mml:mi>c</mml:mi>
											</mml:mfrac>
										</mml:mrow>
										<mml:mo>)</mml:mo>
									</mml:mrow>
									<mml:mi>b</mml:mi>
								</mml:msup>
								<mml:msup>
									<mml:mi>e</mml:mi>
									<mml:mrow>
										<mml:mo>−</mml:mo>
										<mml:mi>b</mml:mi>
									</mml:mrow>
								</mml:msup>
								<mml:mo>,</mml:mo>
								<mml:mi>d</mml:mi>
								<mml:mi>p</mml:mi>
								<mml:mi>p</mml:mi>
								<mml:mo>=</mml:mo>
								<mml:mfrac>
									<mml:mi>b</mml:mi>
									<mml:mi>c</mml:mi>
								</mml:mfrac>
								<mml:mtext>and</mml:mtext>
								<mml:mi>s</mml:mi>
								<mml:mo>=</mml:mo>
								<mml:mo>−</mml:mo>
								<mml:mrow>
									<mml:mo>(</mml:mo>
									<mml:mrow>
										<mml:mi>b</mml:mi>
										<mml:mo>+</mml:mo>
										<mml:mn>1</mml:mn>
									</mml:mrow>
									<mml:mo>)</mml:mo>
								</mml:mrow>
								<mml:mi>ln</mml:mi>
								<mml:mrow>
									<mml:mo>(</mml:mo>
									<mml:mi>c</mml:mi>
									<mml:mo>)</mml:mo>
								</mml:mrow>
							</mml:mtd>
						</mml:mtr>
					</mml:mtable>
				</mml:math>
			</disp-formula>
			<p>Multiple comparisons between posterior distributions from the averages of the parameters of interest were made to compare treatments. Significance was considered at 5% level for treatments that showed credibility intervals for mean differences that did not include zero, obtaining marginal posterior distributions for all parameters through Brugs package of the program R (R Development Core Team, 2014). It generated 1,100,000 values in a Markov Chain Monte Carlo process, considering a sampling discart of 100,000 initial values; thus, the final sample obtained every 100 jumps contained 10,000 values. The convergence of the chains was verified by the CODA package of the program R, according to the criterion of <xref ref-type="bibr" rid="B16">Heidelberger and Welch (1983)</xref>.</p>
			<p>This study had a randomized experimental design with four treatments and nine replicates, considering each animal as one repetition. Data from animal performance, milk composition, and production were subjected to analysis of variance using SAS software (Statistical Analysis System, version 8.1) at a significance level of 5% according to the statistical model (<xref ref-type="disp-formula" rid="eq3">Equation 5</xref>). Initialy, we searched for interactions between treatment and lactating period for all variables. As a result, we found that fat content was the only variable with this type of interaction, and it was analysed for all milking periods (initial, intermediate, and final). Since the other variables did not show interaction, they were evaluated as one single milking period.</p>
			<disp-formula id="eq3">
				<label>Equations (5)</label>
				<mml:math display="block" id="m3">
					<mml:mrow>
						<mml:msub>
							<mml:mi>Y</mml:mi>
							<mml:mrow>
								<mml:mi>i</mml:mi>
								<mml:mi>j</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:mo>=</mml:mo>
						<mml:mi>μ</mml:mi>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mi>T</mml:mi>
							<mml:mi>i</mml:mi>
						</mml:msub>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mi>ε</mml:mi>
							<mml:mrow>
								<mml:mi>i</mml:mi>
								<mml:mi>j</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:mo>,</mml:mo>
					</mml:mrow>
				</mml:math>
			</disp-formula>
			<p>in which, <italic>Y<sub>ij</sub></italic> is the response variable in the <italic>j</italic>; <italic>μ</italic> is the overall average; <italic>T<sub>i</sub></italic> is the fixed effect of the <italic>i</italic> treatment; and <italic>ε<sub>ij</sub></italic> is the random error. It is assumed that <inline-formula>
					<mml:math display="inline" id="m12">
						<mml:mrow>
							<mml:msub>
								<mml:mi>ε</mml:mi>
								<mml:mrow>
									<mml:mi>i</mml:mi>
									<mml:mi>j</mml:mi>
								</mml:mrow>
							</mml:msub>
							<mml:mo>~</mml:mo>
							<mml:mi>NID</mml:mi>
							<mml:mo stretchy="false">(</mml:mo>
							<mml:mn>0</mml:mn>
							<mml:mo>,</mml:mo>
							<mml:msup>
								<mml:mi>σ</mml:mi>
								<mml:mn>2</mml:mn>
							</mml:msup>
							<mml:mo stretchy="false">)</mml:mo>
						</mml:mrow>
					</mml:math>
				</inline-formula>.</p>
			<p>When the factors were significant, they underwent a polynomial regression testing. However, when the regression was not significant, multiple comparisons of means were performed by Tukey test at 5% probability (P&lt;0.05), using the MIXED procedure of SAS with the model in <xref ref-type="disp-formula" rid="eq4">Equation 6</xref>.</p>
			<disp-formula id="eq4">
				<label>Equation (6)</label>
				<mml:math display="block" id="m4">
					<mml:mrow>
						<mml:msub>
							<mml:mi>Y</mml:mi>
							<mml:mrow>
								<mml:mi>i</mml:mi>
								<mml:mi>j</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:mo>=</mml:mo>
						<mml:mi>μ</mml:mi>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mi>T</mml:mi>
							<mml:mi>i</mml:mi>
						</mml:msub>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mi>W</mml:mi>
							<mml:mi>j</mml:mi>
						</mml:msub>
						<mml:mo>+</mml:mo>
						<mml:mi>T</mml:mi>
						<mml:mo>×</mml:mo>
						<mml:msub>
							<mml:mi>W</mml:mi>
							<mml:mrow>
								<mml:mi>i</mml:mi>
								<mml:mi>j</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:mo>+</mml:mo>
						<mml:mi>ε</mml:mi>
						<mml:mo>,</mml:mo>
					</mml:mrow>
				</mml:math>
			</disp-formula>
			<p>in which <italic>Y<sub>ij</sub></italic> is the observation <italic>ij</italic>; <italic>μ</italic> is the general average; <italic>T<sub>i</sub></italic> is the effect of treatment <italic>i</italic>; <italic>W</italic> is the effect of lactation week <italic>j</italic>; <italic>T × W</italic> is the effect of the interaction between treatment <italic>i</italic> and week <italic>j</italic>; and <italic>ε</italic> is the random error. The week factor was considered a repeated measure in the model.</p>
		</sec>
		<sec sec-type="results">
			<title>Results</title>
			<p>The addition of protected fat showed effect (P&lt;0.0001) on sheep body weight (<xref ref-type="table" rid="t3">Table 3</xref>), i.e., animals that received 20 g kg<sup>−1</sup> protected fat were heavier. It was also noted that the average daily intake of dry matter was 2.24 kg per animal, representing 34.8 g kg<sup>−1</sup> day<sup>−1</sup> of the body weight. There were differences in body condition score (P&lt;0.05), similarly to body weight.</p>
			<table-wrap id="t3">
				<label>Table 3</label>
				<caption>
					<title>Body weight (kg), body condition score (BCS), and dry matter intake of sheep fed different levels of protected fat</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="16%">
						<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">Variable</th>
							<th align="center" colspan="4" style="border-bottom: thin solid; border-color: #000000">Level of protected fat concentrate (g kg-1 as fed)</th>
							<th align="center" rowspan="2" valign="middle">Mean</th>
						</tr>
						<tr>
							<th align="center">0</th>
							<th align="center">20</th>
							<th align="center">40</th>
							<th align="center">60</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">Initial body weight (kg)</td>
							<td align="center">57.91</td>
							<td align="center">56.60</td>
							<td align="center">55.28</td>
							<td align="center">55.05</td>
							<td align="center">56.21</td>
						</tr>
						<tr>
							<td align="left">Mean body weight (kg)</td>
							<td align="center">67.77±0.75a</td>
							<td align="center">66.70±0.74a</td>
							<td align="center">63.58±0.74b</td>
							<td align="center">62.64±0.74b</td>
							<td align="center">65.17</td>
						</tr>
						<tr>
							<td align="left">Final body weight (kg)</td>
							<td align="center">76.51</td>
							<td align="center">74.44</td>
							<td align="center">68.78</td>
							<td align="center">69.28</td>
							<td align="center">72.25</td>
						</tr>
						<tr>
							<td align="left">Initial BCS</td>
							<td align="center">1.56</td>
							<td align="center">1.72</td>
							<td align="center">1.78</td>
							<td align="center">1.61</td>
							<td align="center">1.67</td>
						</tr>
						<tr>
							<td align="left">Mean BCS</td>
							<td align="center">2.78±0.03a</td>
							<td align="center">2.77±0.03a</td>
							<td align="center">2.81±0.03a</td>
							<td align="center">2.67±0.03b</td>
							<td align="center">2.75</td>
						</tr>
						<tr>
							<td align="left">Final BCS</td>
							<td align="center">4.52</td>
							<td align="center">4.38</td>
							<td align="center">4.27</td>
							<td align="center">4.05</td>
							<td align="center">4.31</td>
						</tr>
						<tr>
							<td align="left">Dry matter intake (mean)</td>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
						</tr>
						<tr>
							<td align="left">kg/animal/day</td>
							<td align="center">2.24</td>
							<td align="center">2.25</td>
							<td align="center">2.12</td>
							<td align="center">2.32</td>
							<td align="center">2.24</td>
						</tr>
						<tr>
							<td align="left">Body weight (g kg<sup>-1</sup>d<sup>-1</sup>)</td>
							<td align="center">33.50</td>
							<td align="center">34.20</td>
							<td align="center">33.80</td>
							<td align="center">37.40</td>
							<td align="center">34.80</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN1">
						<p>a,b - Means followed by different letters in the same line differ by Tukey test (P&lt;0.05).</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>Initially, all four treatments showed similar milk production (<italic>a</italic>) (1.85 kg of milk) (<xref ref-type="table" rid="t4">Table 4</xref>). There was no significant increase in the production peak (<italic>b</italic>), even though there was a slight tendency to be higher in animals fed 40 and 60 g kg<sup>−1</sup> protected fat. There was no statistical difference regarding the day of peak production (<italic>dpp</italic>) with an average of 17 days of experiment, but the study began when the animals were at 10 days of lactation (postpartum), so the real production peak was reached at 27 days, i.e., in the fourth week of lactation (<xref ref-type="table" rid="t4">Table 4</xref>). The rate of decline in milk production after peak (<italic>c</italic>) was similar for both groups (P&lt;0.005). The production peak (<italic>pp</italic>) showed differences and was higher in the treatment of 40 g kg<sup>−1</sup> palm oil. Based on these parameters, lactation curve was composed (<xref ref-type="fig" rid="f1">Figure 1</xref>). We emphasize that milk production during lactation was higher in animals that received 60 g kg<sup>−1</sup> as fed of protected fat supplementation (<xref ref-type="fig" rid="f2">Figure 2</xref>).</p>
			<table-wrap id="t4">
				<label>Table 4</label>
				<caption>
					<title>Bayesian estimates (mean ± standard deviation) for parameters of the lactation curve</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="14%">
						<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">Protected fat (g kg<sup>−1</sup> as fed)</th>
							<th align="center" colspan="6" style="border-bottom: thin solid; border-color: #000000">Parameter/Bayesian estimate</th>
						</tr>
						<tr>
							<th align="center"><italic>a</italic></th>
							<th align="center"><italic>b</italic></th>
							<th align="center"><italic>c</italic></th>
							<th align="center"><italic>pp</italic></th>
							<th align="center"><italic>dpp</italic></th>
							<th align="center"><italic>s</italic></th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">0</td>
							<td align="center">1.85±0.16a</td>
							<td align="center">0.08±0.033a</td>
							<td align="center">0.005±0.0008a</td>
							<td align="center">2.13±0.07ab</td>
							<td align="center">16±5a</td>
							<td align="center">5.76±0.11a</td>
						</tr>
						<tr>
							<td align="left">20</td>
							<td align="center">1.83±0.13a</td>
							<td align="center">0.07±0.026a</td>
							<td align="center">0.005±0.0006a</td>
							<td align="center">2.09±0.05b</td>
							<td align="center">16±4a</td>
							<td align="center">5.82±0.09a</td>
						</tr>
						<tr>
							<td align="left">40</td>
							<td align="center">1.88±0.13a</td>
							<td align="center">0.09±0.025a</td>
							<td align="center">0.005±0.0006a</td>
							<td align="center">2.25±0.05a</td>
							<td align="center">18±3a</td>
							<td align="center">5.78±0.08a</td>
						</tr>
						<tr>
							<td align="left">60</td>
							<td align="center">1.86±0.14a</td>
							<td align="center">0.10±0.029a</td>
							<td align="center">0.005±0.0007a</td>
							<td align="center">2.24±0.06ab</td>
							<td align="center">19±4a</td>
							<td align="center">5.81±0.09a</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN2">
						<p><italic>a</italic> - initial production of milk (L); <italic>b</italic> - rate of production increase up to the peak; <italic>c</italic> - rate of production that declined after peak (persistency factor); <italic>pp</italic> - production peak (L); <italic>dpp</italic> - day of peak production; s - persistency in months.</p>
					</fn>
					<fn id="TFN3">
						<p>a,b - Different letters in the same column indicate significant differences between the mean of treatments by comparing Bayesian with 95% credibility.</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<fig id="f1">
				<label>Figure 1</label>
				<caption>
					<title>Lactation curve adjusted for different levels of protected fat (0, 20, 40, and 60 g kg<sup>−1</sup>).</title>
				</caption>
				<graphic xlink:href="1806-9290-rbz-47-e20160137-gf01.tif"/>
			</fig>
			<fig id="f2">
				<label>Figure 2</label>
				<caption>
					<title>Levels of fat in the milk of sheep fed different levels of protected fat in the initial, intermediate, and final phases and throughout the lactation period of 182 days.</title>
				</caption>
				<graphic xlink:href="1806-9290-rbz-47-e20160137-gf02.tif"/>
			</fig>
			<p>The fat content in the milk from sheep fed different levels of palm oil showed an interaction between treatment and period (P&lt;0.01). In the initial third, which comprises the early lactation (1 to 60 days), there was a linear effect (P&lt;0.01), that is, increased level of protected fat caused an increase in fat content (<xref ref-type="fig" rid="f2">Figure 2</xref>). In the second stage, in the intermediate third of the lactating period (61 to 120 days), the fat content had a quadratic effect (P&lt;0.05), with decreased fat content in treatments with 20 and 40 g kg<sup>−1</sup> palm oil (<xref ref-type="fig" rid="f2">Figure 2</xref>). In the final third of the lactation period (121 to 182 days), the fat content showed a linear effect (P&lt;0.05), similarly to early lactation, i.e., animals that received higher levels of palm oil showed higher milk fat content (<xref ref-type="fig" rid="f2">Figure 2</xref>). Milk fat content throughout lactation (182 days) also showed a linear effect (P&lt;0.05).</p>
			<p>The addition of protected fat showed a linear effect (P&lt;0.01) on protein content, demonstrating a negative correlation (decreased protein content when increased levels of palm oil was used) (<xref ref-type="fig" rid="f3">Figure 3</xref>). Lactose content also showed a linear effect (P&lt;0.01), indicating that higher levels of fat lead to decreased levels of lactose (<xref ref-type="fig" rid="f3">Figure 3</xref>). Similarly, defatted dry extract content (<xref ref-type="fig" rid="f3">Figure 3</xref>) showed a linear profile (P&lt;0.001), e.g., increased levels of palm oil, decreased levels of defatted dry extract content. The percentage of total solids in milk had no significant effect (P&gt;0.05), with a mean of 167.6 g kg<sup>−1</sup>. No significant effect (P&gt;0.05) on total yield of solids (<xref ref-type="table" rid="t5">Table 5</xref>) was observed.</p>
			<fig id="f3">
				<label>Figure 3</label>
				<caption>
					<title>Protein, lactose, and defatted dry extract content of milk from sheep fed different levels of protected fat during lactation.</title>
				</caption>
				<graphic xlink:href="1806-9290-rbz-47-e20160137-gf03.tif"/>
			</fig>
			<table-wrap id="t5">
				<label>Table 5</label>
				<caption>
					<title>Total production of fat, protein, lactose, total dry extract, and defatted dry extract in milk of Lacaune sheep fed different levels of protected fat during the lactation period (182 days)</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="12%">
						<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">Variable (kg)</th>
							<th align="center" colspan="4" style="border-bottom: thin solid; border-color: #000000">Level of protected fat concentrate (g kg<sup>-1</sup> as fed)</th>
							<th align="center" rowspan="2" valign="middle">Mean</th>
							<th align="center" rowspan="2" valign="middle">CV (%)</th>
							<th align="center" rowspan="2" valign="middle">Effect</th>
						</tr>
						<tr>
							<th align="center">0</th>
							<th align="center">20</th>
							<th align="center">40</th>
							<th align="center">60</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">Fat</td>
							<td align="center">21.23</td>
							<td align="center">20.93</td>
							<td align="center">22.76</td>
							<td align="center">24.42</td>
							<td align="center">22.33</td>
							<td align="center">19.01</td>
							<td align="center">ns</td>
						</tr>
						<tr>
							<td align="left">Protein</td>
							<td align="center">15.23</td>
							<td align="center">14.32</td>
							<td align="center">15.35</td>
							<td align="center">14.58</td>
							<td align="center">14.87</td>
							<td align="center">19.34</td>
							<td align="center">ns</td>
						</tr>
						<tr>
							<td align="left">Lactose</td>
							<td align="center">15.70</td>
							<td align="center">15.38</td>
							<td align="center">16.39</td>
							<td align="center">15.59</td>
							<td align="center">15.76</td>
							<td align="center">20.75</td>
							<td align="center">ns</td>
						</tr>
						<tr>
							<td align="left">Total dry extract</td>
							<td align="center">55.31</td>
							<td align="center">53.63</td>
							<td align="center">57.85</td>
							<td align="center">57.54</td>
							<td align="center">56.08</td>
							<td align="center">19.32</td>
							<td align="center">ns</td>
						</tr>
						<tr>
							<td align="left">Defatted dry extract</td>
							<td align="center">33.98</td>
							<td align="center">32.69</td>
							<td align="center">34.94</td>
							<td align="center">33.24</td>
							<td align="center">33.71</td>
							<td align="center">19.84</td>
							<td align="center">ns</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN4">
						<p>CV - coefficient of variation; ns - no significant effect (P&gt;0.05).</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
		</sec>
		<sec sec-type="discussion">
			<title>Discussion</title>
			<p>Animals that received the highest levels of protected fat (40 and 60 g kg<sup>−1</sup>) had lower body weight and the worst BCS throughout the lactation period, possibly because these animals had greater milk production throughout lactation. Therefore, weight loss during the first four weeks of lactation is usually minimal, but it may be more severe with the lactation persistency (<xref ref-type="bibr" rid="B24">Snowder and Glimp, 1991</xref>). In our study, there was no body weight loss, only a lower body weight gain in those animals that produced more milk and received higher amounts of protected fat.</p>
			<p>Another contributing factor to lower body weight in sheep fed higher levels of protected fat might be related to the fact that their milk has higher amounts of fat; thus, these animals demanded larger quantities of nutrients to synthesize fatter milk to use less tissue deposition. According to the literature, increased amount of milk production and milk fat content might be possible due to sheep weight loss (<xref ref-type="bibr" rid="B3">Barnes et al., 1990</xref>). Another study using 0, 30, 60, and 90 g kg<sup>−1</sup> protected fat for goats showed a decrease in weight gain (110.3, 67.5, 53.3, and 39.6 g, respectively) (<xref ref-type="bibr" rid="B26">Teh et al., 1994</xref>), similarly to those found in this study.</p>
			<p>The lactation curve showed a difference in milk production at the lactation peak, that is, sheep that received higher amounts of palm oil showed higher peaks, resulting in greater milk production throughout lactation since the rate of decline after the peak was the same for all treatments. In this study, the lactation peak occurred approximately at day 27 postpartum, a fact also shown by <xref ref-type="bibr" rid="B4">Bencine and Pulina (1997)</xref>, in which the lactation peak was reached between the third and the fifth week of lactation. Another study showed that milk production peak in confined sheep with a suckling lamb occurred after 30 days of lactation; however, females with twins showed lactation peak at 21 days of lactation (<xref ref-type="bibr" rid="B11">Cardellino and Benson, 2002</xref>). Mixed system of sheep milk production (lamb suckling + milking until 45 days of age) showed production peak in the seventh week of lactation (<xref ref-type="bibr" rid="B25">Stradioto, 2007</xref>). In this case, according to the authors, the peak may have been slowed by the effect of lamb suckling, which may have hampered milk production.</p>
			<p>The mean and total volume of milk produced throughout the lactation period was greater in animals that received higher amounts of protected fat (40 and 60 g kg<sup>−1</sup>). The fat content in milk throughout lactation increased linearly with higher amounts of palm oil. <xref ref-type="bibr" rid="B15">Fontaneli (2001)</xref> reported that milk fat is composed almost entirely by triglycerides (98% of total fat). These triglycerides are synthesized in the epithelial cells of the mammary gland, and fatty acids composing these triglycerides may be derived from lipids present in the blood or by the <italic>de novo</italic> synthesis in the epithelial cells. Thus, there is a great uptake of triglycerides from the bloodstream by the mammary gland, which is used for the synthesis of fat that will be milk secreted. It is worth highlighting that sheep that received palm oil in the diet (40 and 60 g kg<sup>−1</sup>) had an increase in seric triglycerides (<xref ref-type="bibr" rid="B6">Bianchi et al., 2014b</xref>), which may explain the numerical increase in milk fat of sheep that received 60 g kg<sup>−1</sup> palm oil in the diet. <xref ref-type="bibr" rid="B10">Cannas et al. (2002)</xref> reported that the use of protected fat for sheep caused an increase in milk production and fat content. However, these findings occur much faster for fat content than for milk production.</p>
			<p>
				<xref ref-type="bibr" rid="B14">Filgueiras Neto and Moura (2012)</xref> reported that high-producing dairy cows may have severe ruminal pH decrease, even when well fed with balanced diets. This is more commonly seen when protected fat from soybean is used, compared with protected fat from palm oil. The reason for that relies, in part, on the amount of polyunsaturated fatty acids that is much lower in palm oil than in soybean, and its pKa is also lower even when the ruminal pH is bellow normal, allowing the release of fatty acids in the rumen with low dissociation, and without any effect on ruminal microorganisms. Therefore, there is no severe impact on the biohydrogenation of fats in the rumen and, consequently, on milk fat content. Due to these factors, it is possible to assure that protected fat from palm oil is safer since it ensures similar energy input compared with fat from soybean oil and decreases the risk of lower levels of fat in milk (<xref ref-type="bibr" rid="B14">Filgueiras Neto and Moura, 2012</xref>).</p>
			<p>The protein content in milk showed a linear decrease after an increase in the levels of palm oil. This fact may be due to a dilution factor since the total volume of milk also increased, and consequently, the total protein production during lactation (kg protein) showed no significant difference, demonstrating that the use of higher levels of protected fat to feed lactating ewes did not affect the total amount of protein secreted in milk. According to the literature, there is a negative correlation between milk production and milk composition. Therefore, when sheep produced more milk volume, the fat and protein concentrations were reduced, and this is also valid for breed of high and low production (<xref ref-type="bibr" rid="B4">Bencine and Pulina, 1997</xref>).</p>
			<p>According to <xref ref-type="bibr" rid="B12">Chilliard et al. (2003)</xref>, milk protein production is related to nutritional factors, energy intake being the major factor. We did not anticipate changes in the levels of protein, given that the diets were formulated to meet animal production needs. Replacing the sources of fermentable carbohydrates in the rumen with unsaturated fat leads to lower production of volatile fatty acids and, overall, to a lower production of microbial protein. The reduced production of these fatty acids in the rumen leads to greater gluconeogenesis from amino acids by decreasing the concentration of protein in milk (<xref ref-type="bibr" rid="B28">Wu and Huber, 1994</xref>). In the present study, we observed a decrease in protein levels of milk from animals that received higher amounts of protected fat. There are two possible explanations for that: increased milk production leads to lower protein levels, and a dilution event may have ocurred (<xref ref-type="table" rid="t5">Table 5</xref>), with no changes on protein (kg); the second explanation was mentioned above, with a pH drop with dissociation of protected fat, and release of unsaturated fat.</p>
			<p>This effect was evidenced by <xref ref-type="bibr" rid="B13">Fernandes et al. (2008)</xref>, who reported that the use of certain types of additional fat increased milk production, as well as the percentage of fat in milk, but at the same time, also decreased the percentage of protein. When there is no replacement of carbohydrates for lipids in the rumen, and when lipids are supplied in very large amounts, there is a toxic effect on microorganisms of the rumen, causing reduction in microbial growth and, thus, an effect on the transport of amino acids to the mammary gland. Therefore, the protein content of milk may decrease with the deficiency of one or more amino acids (<xref ref-type="bibr" rid="B21">Santos et al., 2001</xref>).</p>
			<p>Lactose content in milk from sheep decreased as they were fed higher amounts of protected fat. This might be explained by the dilution of this compound as a consequence of a higher milk production. <xref ref-type="bibr" rid="B15">Fontaneli (2001)</xref> reported that glucose is the major precursor of lactose in milk and contributes with approximately 60 to 70% for the synthesis of this component; the rest of the glucose is used by the secretory cells for protein synthesis, and glycerol or other precursors, for the synthesis of fat. Authors reported that the main precursor of animal glucose is propionic acid, mainly produced by the fermentation of non-fibrous carbohydrates in the rumen (<xref ref-type="bibr" rid="B2">Antunes and Rodriguez, 2006</xref>). Thus, the inclusion of protected fat has little effect on propionate production, not interfering with the synthesis of glucose by the liver, and subsequently lactose by the mammary gland. As observed in our study using isocaloric diets, the way to increase the levels of protected fat was to decrease ground corn, a source of non-fiber carbohydrate, thus reducing the production of propionic acid, a precursor of glucose, thereby reducing lactose in milk. This study also found that the treatments caused a linear effect (P&lt;0.0001) on solids nonfat. This decrease in dry fat extract in relation to increased levels of palm oil is because it is mainly composed of protein and lactose, demonstrating similar patterns between compounds.</p>
			<p>The total solid content (fat, protein, lactose, and minerals) in milk showed no significant differences between groups since fat content is inversely proportional to the levels of protein and lactose, which was found in milk of all groups. Likewise, total production of solids did not change among groups, and a possible reason for this is that the values were calculated by multiplying milk production and solids. The amount (kg) of protein, lactose, and solids nonfat showed no significant changes since their concentration were inversely proportional to milk production. We expected that the total production of fat would show a significant increase because fat content showed a positive linear effect, and milk production followed the same trend, but this fact did not occur, probably due to the high coefficient of variation (19.01%) found for this variable.</p>
		</sec>
		<sec sec-type="conclusions">
			<title>Conclusions</title>
			<p>The addition of low amounts (20 g kg<sup>−1</sup>) of protected fat from palm oil in the diet of dairy sheep causes a positive effect on weight gain and body condition. Moreover, milk production and fat content are higher in sheep that receive 60 g kg<sup>−1</sup> of protected fat. On the other hand, protein, lactose, and solids nonfat are lower in milk of ewes fed protected fat.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgments</title>
			<p>We thank the <italic>Cabanha Chapecó</italic> farm, for providing the animals used in the research.</p>
		</ack>
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