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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">00618</article-id>
			<article-id pub-id-type="doi">10.1590/rbz4720170289</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Ruminants</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Multivariate relationship among body protein, fat, and macrominerals of male and female Saanen goats using canonical correlation analysis</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-5163-5127</contrib-id>
					<name>
						<surname>Vargas</surname>
						<given-names>Julián Andrés Castillo</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-3065-0701</contrib-id>
					<name>
						<surname>Almeida</surname>
						<given-names>Amélia Katiane</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-1995-1466</contrib-id>
					<name>
						<surname>Härter</surname>
						<given-names>Carla Joice</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-3646-8249</contrib-id>
					<name>
						<surname>Souza</surname>
						<given-names>Anaiane Pereira</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-8787-9668</contrib-id>
					<name>
						<surname>Fernandes</surname>
						<given-names>Márcia Helena Machado da Rocha</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Resende</surname>
						<given-names>Kléber Tomás de</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-7432-867X</contrib-id>
					<name>
						<surname>Teixeira</surname>
						<given-names>Izabelle Auxiliadora Molina de Almeida</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<xref ref-type="corresp" rid="c1">*</xref>
				</contrib>
				<aff id="aff1">
					<label>1</label>
					<institution content-type="normalized">Universidade Estadual Paulista</institution>
					<institution content-type="orgname">Universidade Estadual Paulista</institution>
					<institution content-type="orgdiv1">Departamento de Zootecnia</institution>
					<addr-line>
						<named-content content-type="city">Jaboticabal</named-content>
						<named-content content-type="state">SP</named-content>
					</addr-line>
					<country country="BR">Brasil</country>
					<institution content-type="original">Universidade Estadual Paulista, Departamento de Zootecnia, Jaboticabal, SP, Brasil</institution>
				</aff>
			</contrib-group>
			<author-notes>
				<corresp id="c1">
					<label>*</label><bold>Corresponding author:</bold><email>izabelle.teixeira@unesp.br</email>
				</corresp>
			</author-notes>
			<pub-date pub-type="epub">
				<day>17</day>
				<month>11</month>
				<year>2018</year>
			</pub-date>
			<volume>47</volume>
			<elocation-id>e20170289</elocation-id>
			<history>
				<date date-type="received">
					<day>07</day>
					<month>11</month>
					<year>2017</year>
				</date>
				<date date-type="accepted">
					<day>27</day>
					<month>05</month>
					<year>2018</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 investigate the multivariate relationship among body protein, fat, and macrominerals in Saanen goats of different sexes (castrated males, females, and intact males) using canonical correlation analysis. Individual records of 274 Saanen goats combined from 10 studies was used. Two sets of body constituents were established: the first one contained variables related to body protein or fat (canonical variate U) and the second contained variables related to body calcium, phosphorus, magnesium, sodium, or potassium (canonical variate V). Two canonical pairs were identified for each sex. However, irrespective of sex, first canonical pairs accounted for more than 87% of variance of the dependent variables, these only being used for the analysis. For canonical variate U<sub>1</sub>, canonical weights for protein were greater than that for fat (in castrated males, protein = 0.62 and fat = 0.41; in females, protein = 0.96 and fat = 0.039; and in intact males, protein = 0.81 and fat = 0.20). For canonical variate V<sub>1</sub>, in males, the highest canonical weights were for potassium and phosphorus, whereas the lowest were for calcium (in castrated males, potassium = 0.485 &gt; phosphorus = 0.259 &gt; magnesium = 0.206 &gt; sodium = 0.129 &gt; calcium = 0.081, and in intact males, potassium = 0.499 &gt; phosphorus = 0.459 &gt; sodium = 0.105 &gt; magnesium = 0.024 &gt; calcium = 0.001). On the other hand, in females, the highest canonical weights were for potassium and calcium, whereas the lowest was for magnesium (potassium = 0.539 &gt; calcium = 0.201 &gt; phosphorus = 0.178 &gt; sodium = 0.088 &gt; magnesium = 0.081). The current results may help to understand the role of sex on strength and nature of the association among body protein, fat, and macrominerals in growing Saanen goats.</p>
			</abstract>
			<kwd-group xml:lang="en">
				<title>Key Words</title>
				<kwd>dairy goat</kwd>
				<kwd>multivariate analysis</kwd>
				<kwd>sex</kwd>
				<kwd>tissue composition</kwd>
			</kwd-group>
			<funding-group>
				<award-group>
					<funding-source>Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)</funding-source>
					<award-id>2014/14734-9</award-id>
				</award-group>
				<award-group>
					<funding-source>Asociación Universitaria Iberoamericana de Postgrado (AUIP)</funding-source>
					<award-id>166754-1</award-id>
				</award-group>
			</funding-group>
			<counts>
				<fig-count count="2"/>
				<table-count count="2"/>
				<equation-count count="2"/>
				<ref-count count="34"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>Introduction</title>
			<p>The chemical composition of the body of an animal is the result of the influence of animal (e.g., sex, breed, and genetics), environment, management, and nutrition factors (<xref ref-type="bibr" rid="B22">Reid et al., 1955</xref>). Considering that protein, fat, and, macrominerals support the maintenance, growth, and production processes in animals (<xref ref-type="bibr" rid="B19">Lawrence et al., 2012</xref>), determining the magnitude of the interrelation among these body constituents in animals may be useful for optimizing nutrient utilization.</p>
			<p>Recently, <xref ref-type="bibr" rid="B30">Teixeira et al. (2015)</xref> demonstrated that the quantities of mineral in the body of growing goats were linearly proportional to the amount of protein, exploring these relationships by a univariate approach. However, deposition processes of protein, fat, and minerals in the body of animals are not independent (<xref ref-type="bibr" rid="B22">Reid et al., 1955</xref>). Therefore, the use of a multivariate approach may be appropriate for evaluating the interrelations among protein, fat, and macromineral deposition in the body of goats. In this regard, canonical correlation analysis may be suitable, because it measures the magnitude of interrelations between sets of multiple variables (<xref ref-type="bibr" rid="B1">Akbaş and Takma, 2005</xref>; <xref ref-type="bibr" rid="B32">Ventura et al., 2011</xref>).</p>
			<p>In addition, <xref ref-type="bibr" rid="B26">Souza et al. (2017)</xref> demonstrated that male Saanen goats have greater body protein and lower body fat contents than females. Similarly, <xref ref-type="bibr" rid="B31">Vargas et al. (2017)</xref> reported that male Saanen goats have a greater body calcium, phosphorus, sodium, and magnesium contents than female Saanen goats. Hence, considering that sex affects body composition of Saanen goats, we hypothesize that the magnitudes of the interrelations among protein, fat, and macrominerals in the body of Saanen goats, may also be different between sexes. Thus, the objective of this study was to investigate the multivariate relationship among body protein, fat, and macrominerals in Saanen goats of different sexes (castrated males, females, and intact males) using canonical correlation analysis.</p>
		</sec>
		<sec sec-type="materials|methods">
			<title>Material and Methods</title>
			<p>A dataset containing 274 individual records from four studies of protein body composition (<xref ref-type="bibr" rid="B16">Gomes, 2011</xref>; <xref ref-type="bibr" rid="B2">Almeida et al., 2015</xref>; <xref ref-type="bibr" rid="B12">Ferreira et al., 2015</xref>; <xref ref-type="bibr" rid="B14">Figueiredo et al., 2017</xref>) and from six studies of macromineral body composition (<xref ref-type="bibr" rid="B11">Ferreira, 2003</xref>; <xref ref-type="bibr" rid="B13">Figueiredo, 2011</xref>; <xref ref-type="bibr" rid="B17">Gomes et al., 2011</xref>; <xref ref-type="bibr" rid="B25">Soares, 2013</xref>; <xref ref-type="bibr" rid="B23">Santos Neto et al., 2016</xref>; <xref ref-type="bibr" rid="B21">Mendonça et al., 2017</xref>) of Saanen goats was developed. The studies were conducted in Jaboticabal, São Paulo, Brazil (21°14′05″ S, 48°17′09″ W, and 595 m altitude).</p>
			<p>This dataset was composed by body protein, fat, calcium, phosphorus, magnesium, sodium, and potassium contents of castrated male (n = 114), female (n = 69), and intact male (n = 91) Saanen goats from 5 to 45 kg body weight (BW), expressed as total nutrient contents (grams) in the empty BW (EBW) (<xref ref-type="table" rid="t1">Table 1</xref>). Protein, fat, and macromineral contents of each animal in all experiments were calculated from the chemical composition in the body. Empty body samples were analyzed for the contents of crude protein (CP; nitrogen analysis, performed via Dumas combustion using a LECO FP-528LC analyzer; LECO Corp., St. Joseph, MI; <xref ref-type="bibr" rid="B10">Etheridge et al., 1998</xref>) and fat (<xref ref-type="bibr" rid="B4">AOAC, 1990</xref>, method 930.15). Minerals were analyzed by performing a nitric perchloric acid wet digestion of samples (<xref ref-type="bibr" rid="B4">AOAC, 1990</xref>; method number 935.13), and body calcium, magnesium, sodium, and potassium contents were determined by atomic absorption (<xref ref-type="bibr" rid="B4">AOAC, 1990</xref>; method number 935.13). Body phosphorus contents were determined by colorimetry (<xref ref-type="bibr" rid="B4">AOAC, 1990</xref>; method number 965.17). All procedures used across studies were reviewed by the local Animal Care Committee (case no. 004972-09).</p>
			<table-wrap id="t1">
				<label>Table 1</label>
				<caption>
					<title>Descriptive statistics of major body constituents of male and female Saanen goats</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="center" colspan="2"/>
							<th align="center">Mean</th>
							<th align="center">Minimum</th>
							<th align="center">Maximum</th>
							<th align="center">SD</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left" colspan="2">Castrated males (n = 114)</td>
							<td align="left"/>
							<td align="left"/>
							<td align="left"/>
							<td align="left"/>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Protein (g)</td>
							<td align="center">3383</td>
							<td align="center">690</td>
							<td align="center">7618</td>
							<td align="center">1527</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Fat (g)</td>
							<td align="center">2974</td>
							<td align="center">35.0</td>
							<td align="center">12299</td>
							<td align="center">2524</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Ca (g)</td>
							<td align="center">195.2</td>
							<td align="center">37.9</td>
							<td align="center">461.6</td>
							<td align="center">87.2</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">P (g)</td>
							<td align="center">148.9</td>
							<td align="center">26.6</td>
							<td align="center">330.4</td>
							<td align="center">61.8</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Mg (g)</td>
							<td align="center">10.0</td>
							<td align="center">1.29</td>
							<td align="center">31.6</td>
							<td align="center">6.70</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Na (g)</td>
							<td align="center">21.9</td>
							<td align="center">5.05</td>
							<td align="center">53.0</td>
							<td align="center">9.93</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">K (g)</td>
							<td align="center">28.9</td>
							<td align="center">5.62</td>
							<td align="center">97.8</td>
							<td align="center">18.0</td>
						</tr>
						<tr>
							<td align="left" colspan="2">Females (n = 69)</td>
							<td align="left"/>
							<td align="left"/>
							<td align="left"/>
							<td align="left"/>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Protein (g)</td>
							<td align="center">3006</td>
							<td align="center">643</td>
							<td align="center">6322</td>
							<td align="center">1546</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Fat (g)</td>
							<td align="center">3622</td>
							<td align="center">85.7</td>
							<td align="center">14896</td>
							<td align="center">3681</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Ca (g)</td>
							<td align="center">179.7</td>
							<td align="center">30.0</td>
							<td align="center">432.1</td>
							<td align="center">95.8</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">P (g)</td>
							<td align="center">127.7</td>
							<td align="center">26.9</td>
							<td align="center">267.2</td>
							<td align="center">58.8</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Mg (g)</td>
							<td align="center">6.10</td>
							<td align="center">1.11</td>
							<td align="center">26.7</td>
							<td align="center">3.36</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Na (g)</td>
							<td align="center">24.4</td>
							<td align="center">5.05</td>
							<td align="center">49.4</td>
							<td align="center">9.37</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">K (g)</td>
							<td align="center">29.1</td>
							<td align="center">5.85</td>
							<td align="center">79.3</td>
							<td align="center">17.0</td>
						</tr>
						<tr>
							<td align="left" colspan="2">Intact males (n = 91)</td>
							<td align="left"/>
							<td align="left"/>
							<td align="left"/>
							<td align="left"/>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Protein (g)</td>
							<td align="center">2756</td>
							<td align="center">690</td>
							<td align="center">6977</td>
							<td align="center">1534</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Fat (g)</td>
							<td align="center">1912</td>
							<td align="center">65.5</td>
							<td align="center">9640</td>
							<td align="center">1928</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Ca (g)</td>
							<td align="center">157.4</td>
							<td align="center">31.0</td>
							<td align="center">577.2</td>
							<td align="center">96.4</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">P (g)</td>
							<td align="center">119.8</td>
							<td align="center">26.6</td>
							<td align="center">317.1</td>
							<td align="center">62.5</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Mg (g)</td>
							<td align="center">6.41</td>
							<td align="center">1.29</td>
							<td align="center">20.7</td>
							<td align="center">3.88</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Na (g)</td>
							<td align="center">22.4</td>
							<td align="center">7.53</td>
							<td align="center">57.5</td>
							<td align="center">10.8</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">K (g)</td>
							<td align="center">26.4</td>
							<td align="center">5.62</td>
							<td align="center">86.1</td>
							<td align="center">17.0</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN1">
						<p>SD - standard deviation.</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>A canonical correlation analysis was performed using the CCA package (version 1.2-0) in R (version 3.3.1, R Foundation for Statistical Computing, Vienna, Austria) to explore the strength and nature of the association between organic and inorganic major constituents in the body of Saanen goats (<xref ref-type="bibr" rid="B18">Hair et al., 2014</xref>). Canonical correlation analysis is based on correlation between a linear combination of a set of variables (body protein and fat; U<sub>i</sub>) and a linear combination of another set of variables (body calcium, phosphorus, magnesium, sodium, and potassium; V<sub>i</sub>). Thus, linear combinations of sets of variables can be defined as follows:</p>
			<disp-formula id="eq1">
				<mml:math display="block" id="m1">
					<mml:mtable columnalign="left">
						<mml:mtr>
							<mml:mtd>
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									<mml:mtext>U</mml:mtext>
									<mml:mrow>
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									</mml:mrow>
								</mml:msub>
								<mml:mtext>=</mml:mtext>
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										<mml:mtext>i1</mml:mtext>
									</mml:mrow>
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								<mml:mtext>+</mml:mtext>
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								<mml:mn>…</mml:mn>
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								</mml:msub>
								<mml:msub>
									<mml:mtext>X</mml:mtext>
									<mml:mrow>
										<mml:mtext>1</mml:mtext>
									</mml:mrow>
								</mml:msub>
								<mml:mtext>+</mml:mtext>
								<mml:msub>
									<mml:mtext>b</mml:mtext>
									<mml:mrow>
										<mml:mtext>i2</mml:mtext>
									</mml:mrow>
								</mml:msub>
								<mml:msub>
									<mml:mtext>X</mml:mtext>
									<mml:mrow>
										<mml:mtext>2</mml:mtext>
									</mml:mrow>
								</mml:msub>
								<mml:mtext>+</mml:mtext>
								<mml:mn>…</mml:mn>
								<mml:mtext>  </mml:mtext>
								<mml:mo>+</mml:mo>
								<mml:msub>
									<mml:mtext>b</mml:mtext>
									<mml:mrow>
										<mml:mtext>iq</mml:mtext>
									</mml:mrow>
								</mml:msub>
								<mml:msub>
									<mml:mtext>X</mml:mtext>
									<mml:mrow>
										<mml:mtext>q</mml:mtext>
									</mml:mrow>
								</mml:msub>
								<mml:mo>,</mml:mo>
							</mml:mtd>
						</mml:mtr>
					</mml:mtable>
				</mml:math>
			</disp-formula>
			<p>in which a<sub>ip</sub> and b<sub>iq</sub> are canonical weights, p and q are the number of variables of U<sub>i</sub> and V<sub>i</sub>, and U<sub>i</sub> and V<sub>i</sub> are the <italic>i</italic>-th pair of canonical variates. The total number of pairs of canonical variates is defined by the minimum value between <italic>p</italic> and <italic>q</italic>. U<sub>1</sub> and V<sub>1</sub> form the first pair of canonical variates, and U<sub>2</sub> and V<sub>2</sub> form the second pair of canonical variates. Therefore, first (r<sub>1</sub>) and second (r<sub>2</sub>) canonical correlations are defined as:</p>
			<disp-formula id="eq2">
				<mml:math display="block" id="m2">
					<mml:mtable columnalign="left">
						<mml:mtr>
							<mml:mtd>
								<mml:msub>
									<mml:mi>r</mml:mi>
									<mml:mn>1</mml:mn>
								</mml:msub>
								<mml:mo>=</mml:mo>
								<mml:mfrac>
									<mml:mrow>
										<mml:mi>C</mml:mi>
										<mml:mover accent="true">
											<mml:mi>o</mml:mi>
											<mml:mo>^</mml:mo>
										</mml:mover>
										<mml:mi>v</mml:mi>
										<mml:mo stretchy="false">(</mml:mo>
										<mml:msub>
											<mml:mi>U</mml:mi>
											<mml:mn>1</mml:mn>
										</mml:msub>
										<mml:mo>,</mml:mo>
										<mml:msub>
											<mml:mi>V</mml:mi>
											<mml:mn>1</mml:mn>
										</mml:msub>
										<mml:mo stretchy="false">)</mml:mo>
									</mml:mrow>
									<mml:mrow>
										<mml:msqrt>
											<mml:mrow>
												<mml:mi>V</mml:mi>
												<mml:mover accent="true">
													<mml:mi>a</mml:mi>
													<mml:mo>^</mml:mo>
												</mml:mover>
												<mml:mi>r</mml:mi>
												<mml:mo stretchy="false">(</mml:mo>
												<mml:msub>
													<mml:mi>U</mml:mi>
													<mml:mn>1</mml:mn>
												</mml:msub>
												<mml:mo stretchy="false">)</mml:mo>
												<mml:mi>V</mml:mi>
												<mml:mi>a</mml:mi>
												<mml:mi>r</mml:mi>
												<mml:mo stretchy="false">(</mml:mo>
												<mml:msub>
													<mml:mi>V</mml:mi>
													<mml:mn>1</mml:mn>
												</mml:msub>
												<mml:mo stretchy="false">)</mml:mo>
											</mml:mrow>
										</mml:msqrt>
									</mml:mrow>
								</mml:mfrac>
							</mml:mtd>
						</mml:mtr>
						<mml:mtr>
							<mml:mtd>
								<mml:msub>
									<mml:mi>r</mml:mi>
									<mml:mn>2</mml:mn>
								</mml:msub>
								<mml:mo>=</mml:mo>
								<mml:mfrac>
									<mml:mrow>
										<mml:mi>C</mml:mi>
										<mml:mover accent="true">
											<mml:mi>o</mml:mi>
											<mml:mo>^</mml:mo>
										</mml:mover>
										<mml:mi>v</mml:mi>
										<mml:mo stretchy="false">(</mml:mo>
										<mml:msub>
											<mml:mi>U</mml:mi>
											<mml:mn>2</mml:mn>
										</mml:msub>
										<mml:mo>,</mml:mo>
										<mml:msub>
											<mml:mi>V</mml:mi>
											<mml:mn>2</mml:mn>
										</mml:msub>
										<mml:mo stretchy="false">)</mml:mo>
									</mml:mrow>
									<mml:mrow>
										<mml:msqrt>
											<mml:mrow>
												<mml:mi>V</mml:mi>
												<mml:mover accent="true">
													<mml:mi>a</mml:mi>
													<mml:mo>^</mml:mo>
												</mml:mover>
												<mml:mi>r</mml:mi>
												<mml:mo stretchy="false">(</mml:mo>
												<mml:msub>
													<mml:mi>U</mml:mi>
													<mml:mn>2</mml:mn>
												</mml:msub>
												<mml:mo stretchy="false">)</mml:mo>
												<mml:mi>V</mml:mi>
												<mml:mi>a</mml:mi>
												<mml:mi>r</mml:mi>
												<mml:mo stretchy="false">(</mml:mo>
												<mml:msub>
													<mml:mi>V</mml:mi>
													<mml:mn>2</mml:mn>
												</mml:msub>
												<mml:mo stretchy="false">)</mml:mo>
											</mml:mrow>
										</mml:msqrt>
									</mml:mrow>
								</mml:mfrac>
							</mml:mtd>
						</mml:mtr>
					</mml:mtable>
				</mml:math>
			</disp-formula>
			<p>Wilk's Lambda and Bartlett's tests were used to test significance of canonical correlations. In addition, redundancy index for each canonical correlation was determined to measure the amount of the dependent variable (protein and fat) variance accounted for the independent variables (calcium, phosphorus, magnesium, sodium, and potassium) (<xref ref-type="bibr" rid="B18">Hair et al., 2014</xref>).</p>
		</sec>
		<sec sec-type="results">
			<title>Results</title>
			<p>The analysis yielded, for each sex, two canonical correlations between U (i.e., body protein and fat) and V (i.e., body Ca, P, Mg, Na, and K) canonical variates (P&lt;0.01) (<xref ref-type="table" rid="t2">Table 2</xref>). The first and second canonical correlations were 0.962 and 0.554, respectively, for castrated males; 0.973 and 0.593, respectively, for females; and 0.977 and 0.604, respectively, for intact males (<xref ref-type="fig" rid="f1">Figure 1</xref>). However, redundancy index (i.e., which represents the amount of variance in a dependent canonical variate explained by the independent canonical variate in the canonical correlation between U and V) for first canonical correlations was 0.866, 0.880, and 0.898, for castrated males, females, and intact males, respectively, whereas for the second canonical correlations, it was 0.019, 0.025, and 0.021 for castrated males, females, and intact males, respectively. Thus, first canonical correlations explained more than 87% of variance of the dependent variables, whereas the second canonical correlation explained lower than 0.025%; then, only the first canonical correlation pairs were used in the analysis.</p>
			<table-wrap id="t2">
				<label>Table 2</label>
				<caption>
					<title>Standardized canonical coefficients of variates of canonical correlations analysis on major organic (protein and fat) and inorganic (Ca, P, Mg, Na, and K) constituents in the body of Saanen goats of di fferent sexes</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">Sex</th>
							<th align="center">Pair of canonical variates</th>
							<th align="center">Standardized canonical variation combination<xref ref-type="table-fn" rid="TFN3">1</xref>
							</th>
							<th align="center">R<sub>c</sub></th>
							<th align="center">SR<sub>c</sub></th>
							<th align="center">RI</th>
							<th align="center">P-value</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left" rowspan="4" valign="middle">Castrated males</td>
							<td align="center" rowspan="2">First set of canonical variates</td>
							<td align="left">
								<inline-formula>
									<mml:math display="inline" id="m3">
										<mml:mrow>
											<mml:msub>
												<mml:mtext>U</mml:mtext>
												<mml:mn>1</mml:mn>
											</mml:msub>
											<mml:mo>=</mml:mo>
											<mml:mn>0.626</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Protein</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.405</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Fat</mml:mtext>
										</mml:mrow>
									</mml:math>
								</inline-formula>
							</td>
							<td align="center">0.962</td>
							<td align="center">0.926</td>
							<td align="center">0.866</td>
							<td align="center">&lt;0.01</td>
						</tr>
						<tr>
							<td align="left">
								<inline-formula>
									<mml:math display="inline" id="m4">
										<mml:mrow>
											<mml:msub>
												<mml:mtext>V</mml:mtext>
												<mml:mn>1</mml:mn>
											</mml:msub>
											<mml:mo>=</mml:mo>
											<mml:mn>0.081</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Ca</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.259</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>P</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.206</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Mg</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.129</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Na</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.485</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>K</mml:mtext>
										</mml:mrow>
									</mml:math>
								</inline-formula>
							</td>
						</tr>
						<tr>
							<td align="center" rowspan="2">Second set of canonical variates</td>
							<td align="left">
								<inline-formula>
									<mml:math display="inline" id="m5">
										<mml:mrow>
											<mml:msub>
												<mml:mtext>U</mml:mtext>
												<mml:mn>2</mml:mn>
											</mml:msub>
											<mml:mo>=</mml:mo>
											<mml:mn>1.976</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Protein</mml:mtext>
											<mml:mo>-</mml:mo>
											<mml:mn>2.033</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Fat</mml:mtext>
										</mml:mrow>
									</mml:math>
								</inline-formula>
							</td>
							<td align="center">0.554</td>
							<td align="center">0.307</td>
							<td align="center">0.020</td>
							<td align="left">&lt;0.01</td>
						</tr>
						<tr>
							<td align="left">
								<inline-formula>
									<mml:math display="inline" id="m6">
										<mml:mrow>
											<mml:msub>
												<mml:mtext>V</mml:mtext>
												<mml:mn>2</mml:mn>
											</mml:msub>
											<mml:mo>=</mml:mo>
											<mml:mn>0.206</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Ca</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.576</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>P</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.521</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Mg</mml:mtext>
											<mml:mo>−</mml:mo>
											<mml:mn>0.533</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Na</mml:mtext>
											<mml:mo>−</mml:mo>
											<mml:mn>0.649</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>K</mml:mtext>
										</mml:mrow>
									</mml:math>
								</inline-formula>
							</td>
						</tr>
						<tr>
							<td align="left" rowspan="4" valign="middle">Females</td>
							<td align="center" rowspan="2">First set of canonical variates</td>
							<td align="left">
								<inline-formula>
									<mml:math display="inline" id="m7">
										<mml:mrow>
											<mml:msub>
												<mml:mtext>U</mml:mtext>
												<mml:mn>1</mml:mn>
											</mml:msub>
											<mml:mo>=</mml:mo>
											<mml:mn>0.964</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Protein</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.039</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Fat</mml:mtext>
										</mml:mrow>
									</mml:math>
								</inline-formula>
							</td>
							<td align="center">0.973</td>
							<td align="center">0.947</td>
							<td align="center">0.880</td>
							<td align="left">&lt;0.01</td>
						</tr>
						<tr>
							<td align="left">
								<inline-formula>
									<mml:math display="inline" id="m8">
										<mml:mrow>
											<mml:msub>
												<mml:mtext>V</mml:mtext>
												<mml:mn>1</mml:mn>
											</mml:msub>
											<mml:mo>=</mml:mo>
											<mml:mn>0.201</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Ca</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.178</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>P</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.081</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Mg</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.088</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Na</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.539</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>K</mml:mtext>
										</mml:mrow>
									</mml:math>
								</inline-formula>
							</td>
						</tr>
						<tr>
							<td align="center" rowspan="2">Second set of canonical variates</td>
							<td align="left">
								<inline-formula>
									<mml:math display="inline" id="m9">
										<mml:mrow>
											<mml:msub>
												<mml:mtext>U</mml:mtext>
												<mml:mn>2</mml:mn>
											</mml:msub>
											<mml:mo>=</mml:mo>
											<mml:mn>2.380</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Protein</mml:mtext>
											<mml:mo>−</mml:mo>
											<mml:mn>2.568</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Fat</mml:mtext>
										</mml:mrow>
									</mml:math>
								</inline-formula>
							</td>
							<td align="center">0.593</td>
							<td align="center">0.351</td>
							<td align="center">0.025</td>
							<td align="left">&lt;0.01</td>
						</tr>
						<tr>
							<td align="left">
								<inline-formula>
									<mml:math display="inline" id="m10">
										<mml:mrow>
											<mml:msub>
												<mml:mtext>V</mml:mtext>
												<mml:mn>2</mml:mn>
											</mml:msub>
											<mml:mo>=</mml:mo>
											<mml:mn>0.470</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Ca</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>1.514</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>P</mml:mtext>
											<mml:mo>−</mml:mo>
											<mml:mn>0.769</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Mg</mml:mtext>
											<mml:mo>−</mml:mo>
											<mml:mn>0.424</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Na</mml:mtext>
											<mml:mo>−</mml:mo>
											<mml:mn>0.768</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>K</mml:mtext>
										</mml:mrow>
									</mml:math>
								</inline-formula>
							</td>
						</tr>
						<tr>
							<td align="left" rowspan="4" valign="middle">Intact males</td>
							<td align="center" rowspan="2">First set of canonical variates</td>
							<td align="left">
								<inline-formula>
									<mml:math display="inline" id="m11">
										<mml:mrow>
											<mml:msub>
												<mml:mtext>U</mml:mtext>
												<mml:mn>1</mml:mn>
											</mml:msub>
											<mml:mo>=</mml:mo>
											<mml:mn>0.814</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Protein</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.201</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Fat</mml:mtext>
										</mml:mrow>
									</mml:math>
								</inline-formula>
							</td>
							<td align="center">0.977</td>
							<td align="center">0.954</td>
							<td align="center">0.898</td>
							<td align="left">&lt;0.01</td>
						</tr>
						<tr>
							<td align="left">
								<inline-formula>
									<mml:math display="inline" id="m12">
										<mml:mrow>
											<mml:msub>
												<mml:mtext>V</mml:mtext>
												<mml:mn>1</mml:mn>
											</mml:msub>
											<mml:mo>=</mml:mo>
											<mml:mn>0.001</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Ca</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.459</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>P</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.024</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Mg</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.105</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Na</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>0.499</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>K</mml:mtext>
										</mml:mrow>
									</mml:math>
								</inline-formula>
							</td>
						</tr>
						<tr>
							<td align="center" rowspan="2" valign="middle">Second set of canonical variates</td>
							<td align="left">
								<inline-formula>
									<mml:math display="inline" id="m13">
										<mml:mrow>
											<mml:msub>
												<mml:mtext>U</mml:mtext>
												<mml:mn>2</mml:mn>
											</mml:msub>
											<mml:mo>=</mml:mo>
											<mml:mn>2.309</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Protein</mml:mtext>
											<mml:mo>−</mml:mo>
											<mml:mn>2.440</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Fat</mml:mtext>
										</mml:mrow>
									</mml:math>
								</inline-formula>
							</td>
							<td align="center">0.604</td>
							<td align="center">0.365</td>
							<td align="center">0.021</td>
							<td align="left">&lt;0.01</td>
						</tr>
						<tr>
							<td align="left">
								<inline-formula>
									<mml:math display="inline" id="m14">
										<mml:mrow>
											<mml:msub>
												<mml:mtext>V</mml:mtext>
												<mml:mn>2</mml:mn>
											</mml:msub>
											<mml:mo>=</mml:mo>
											<mml:mn>0.002</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Ca</mml:mtext>
											<mml:mo>+</mml:mo>
											<mml:mn>2.062</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>P</mml:mtext>
											<mml:mo>−</mml:mo>
											<mml:mn>0.389</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Mg</mml:mtext>
											<mml:mo>−</mml:mo>
											<mml:mn>0.009</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>Na</mml:mtext>
											<mml:mo>−</mml:mo>
											<mml:mn>1.722</mml:mn>
											<mml:mo>×</mml:mo>
											<mml:mtext>K</mml:mtext>
										</mml:mrow>
									</mml:math>
								</inline-formula>
							</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN2">
						<p>R<sub>c</sub> - canonical correlation; SR<sub>c</sub> - squared canonical correlation; RI - redundancy index: proportion of variance of the dependent canonical variate accounted by the independent canonical variate.</p>
					</fn>
					<fn id="TFN3">
						<label>1</label>
						<p>Protein, fat, Ca, P, Mg, Na, and K, are the nutrient contents (g) in the body of c astrated male, female, and intact male Saanen goats.</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<fig id="f1">
				<label>Figure 1</label>
				<caption>
					<title>Canonical correlation scores of the first canonical variates of canonical correlations analysis on major organic (protein and fat; U1) and inorganic (Ca, P, Mg, Na, and K; V1) constituents in the body of castrated male (■; A), female (●; B), and intact male (▲; C) Saanen goats.</title>
				</caption>
				<graphic xlink:href="1806-9290-rbz-47-e20170289-gf01.tif"/>
			</fig>
			<p>For canonical variate U<sub>1</sub>, canonical weights for protein were greater than that for fat, in castrated males (protein = 0.63 &gt; fat = 0.41), in females (protein = 0.96 &gt; fat = 0.039), and in intact males (protein = 0.81 &gt; fat = 0.20) (<xref ref-type="table" rid="t2">Table 2</xref>). For the canonical variate V<sub>1</sub> in males, the highest canonical weights were for potassium and phosphorus, whereas the lowest were for calcium, in castrated males (potassium = 0.485 &gt; phosphorus = 0.259 &gt; magnesium = 0.206 &gt; sodium = 0.129 &gt; calcium = 0.081) and in intact males (potassium = 0.499 &gt; phosphorus = 0.459 &gt; sodium = 0.105 &gt; magnesium = 0.024 &gt; calcium = 0.001). On the other hand, for females, the highest canonical weights were for potassium and calcium, whereas the lowest was for magnesium (potassium = 0.539 &gt; calcium = 0.201 &gt; phosphorus = 0.178 &gt; sodium = 0.088 &gt; magnesium = 0.081) (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
		</sec>
		<sec sec-type="discussion">
			<title>Discussion</title>
			<p>The objective of the current study was to investigate the relationship among major body constituents in male and female Saanen goats. Our results suggested that body phosphorus and potassium were the principal macrominerals affecting body protein in male Saanen goats, whereas body potassium and calcium were the main minerals affecting body protein in females.</p>
			<p>Deposition processes of major organic and inorganic body constituents of an animal are not independent (<xref ref-type="bibr" rid="B22">Reid et al., 1955</xref>). This is in accordance with the results of the present study, which revealed high and significant canonical correlations between major organic (protein and fat) and inorganic (calcium, phosphorus, magnesium, sodium, and potassium) constituents. Likewise, over 87% of variance of major organic constituents was explained by major inorganic constituents in the body of Saanen goats (<xref ref-type="table" rid="t2">Table 2</xref>). Therefore, the relationship among protein, fat, and macrominerals in the body of goats should be analyzed using multivariate data analysis techniques, in which canonical correlation analysis may be suitable.</p>
			<p>Sex influences body composition, in which hormonal regulation establishes biological limits for protein and fat deposition and defines differences in body composition between sexes (<xref ref-type="bibr" rid="B8">Byers, 1982</xref>). Our results revealed that protein and fat contributed in approximately 60 and 40%, 96 and 4%, 80 and 20%, in castrate males, females, and intact males, respectively, to the first canonical variate U<sub>1</sub> (<xref ref-type="table" rid="t2">Table 2</xref>). Thus, irrespective of sex, body protein has greater contribution than fat to major organic constituents. This is in accordance with <xref ref-type="bibr" rid="B33">Webster (1986)</xref> and <xref ref-type="bibr" rid="B19">Lawrence et al. (2012)</xref>, who suggested that deposition of fat in ruminants is delayed in relation to body protein, increasing fat deposition rate when deposition of water, protein, and minerals is in a descending phase.</p>
			<p>Moreover, the contributions of protein and fat to total major constituents were different between sexes. This is in accordance with <xref ref-type="bibr" rid="B3">Almeida et al. (2016)</xref> and <xref ref-type="bibr" rid="B26">Souza et al. (2017)</xref>, who demonstrated that protein and fat deposition patterns are different between sexes in growing Saanen goats. Hence, we can conclude that sex not only affects body protein and fat contents in Saanen goats, but it also influences the relationship between protein and fat accretion in the body. Sex effects on the interrelation between body protein and fat using a multivariate approach had not been assessed until now in goats, and the results of this study may help to understand the role of sex on the interrelation between protein and fat deposition processes in this species.</p>
			<p>Similar to protein and fat, sex modulates mineral dynamics and, in consequence, the mineral deposition in the body of animals (<xref ref-type="bibr" rid="B9">Cannata et al., 2010</xref>). Our data revealed that castrated males (potassium &gt; phosphorus &gt; magnesium &gt; sodium &gt; calcium), intact males (potassium &gt; phosphorus &gt; sodium &gt; magnesium &gt; calcium), and females (potassium &gt; calcium &gt; phosphorus &gt; sodium &gt; magnesium) have different macromineral orders of contribution to total major inorganic constituents (<xref ref-type="table" rid="t2">Table 2</xref>). This is in accordance with previous studies which suggested that testosterone levels are different between sexes (<xref ref-type="bibr" rid="B19">Lawrence et al., 2012</xref>). Testosterone regulates GH activity, which modulates calcium and phosphorus dynamics in the body (<xref ref-type="bibr" rid="B6">Breier, 1999</xref>; <xref ref-type="bibr" rid="B5">Bouillon et al., 2003</xref>). Similarly, studies with rats (<xref ref-type="bibr" rid="B24">Schrier, 2006</xref>; <xref ref-type="bibr" rid="B27">Squires, 2010</xref>) suggested that intact males have greater level of aldosterone, a hormone that regulates sodium and potassium dynamics in the body (<xref ref-type="bibr" rid="B29">Suttle, 2010</xref>), than females. Therefore, the differences between sexes in macromineral orders of contribution to total major inorganic constituents may suggest that metabolic processes associated with mineral deposition could be different between sexes. This information may help to explain why sex affects macromineral body deposition in Saanen goats (<xref ref-type="bibr" rid="B31">Vargas et al., 2017</xref>). Also, it may be useful for future studies aiming to understand the role of sex on biochemical mechanisms involved in mineral deposition in goats.</p>
			<p>From the inspection of canonical weights of U and V variates (<xref ref-type="table" rid="t2">Table 2</xref>), it was observed that, irrespective of sex, U canonical variate was mainly defined by protein, and V canonical variates in males (castrated and intact males) were mainly defined by phosphorus and potassium. Then, body phosphorus and potassium were the principal macrominerals affecting body protein in male Saanen goats (<xref ref-type="fig" rid="f2">Figures 2A and C</xref>). These results make biological sense, considering that male Saanen goats have greater protein contents than females (<xref ref-type="bibr" rid="B26">Souza et al., 2017</xref>). Phosphorus plays a role in metabolic functions of ruminants, including energy utilization and transfer via AMP, ADP, and ATP, with implications in amino acid and protein synthesis (<xref ref-type="bibr" rid="B29">Suttle, 2010</xref>). Similarly, potassium participates actively in the synthesis of protein by amino acids and contributes to the regulation and activity of the sodium/potassium ion pump, a process that drives amino acid and glucose transport into the cells (<xref ref-type="bibr" rid="B28">Suhail, 2010</xref>). Therefore, considering the link among phosphorus, potassium, and protein metabolism, it is expected that, in males, an increase in deposition of P and K will have a greater impact on body protein.</p>
			<fig id="f2">
				<label>Figure 2</label>
				<caption>
					<title>Contributions of macromineral body composition to body protein accretion of castrated male (A), female (B), and intact male (C) Saanen goats.</title>
				</caption>
				<graphic xlink:href="1806-9290-rbz-47-e20170289-gf02.tif"/>
			</fig>
			<p>In the case of females, V canonical variate was mainly defined by body potassium and calcium. In this case, body potassium and calcium were the main minerals affecting body protein in female Saanen goats (<xref ref-type="fig" rid="f2">Figure 2B</xref>). This may be because females have greater body potassium and calcium than males (<xref ref-type="bibr" rid="B31">Vargas et al., 2017</xref>) and because potassium and calcium are metabolically interrelated in the animal body (<xref ref-type="bibr" rid="B20">Lemann et al., 1993</xref>). Potassium exerts a beneficial effect on the skeleton through anion provided by potassium salts and an anion-independent effect of potassium on calcium excretion and bone metabolism (<xref ref-type="bibr" rid="B7">Bushinsky et al., 1997</xref>; <xref ref-type="bibr" rid="B34">Zhu et al., 2009</xref>). Therefore, considering the link between muscle and bone metabolism in the body of ruminants (<xref ref-type="bibr" rid="B15">Geay, 1984</xref>; <xref ref-type="bibr" rid="B19">Lawrence et al., 2012</xref>) and the greater body potassium and calcium in females, it is expected that, in females, an increase in body potassium and calcium will have a greater impact on body protein.</p>
			<p>As minerals and protein accretion in the body reach a plateau while fat accretion can continue (<xref ref-type="bibr" rid="B19">Lawrence et al., 2012</xref>), it is possible that, for heavier goats (i.e., BW greater than 45 kg), the amount of fat in the body, especially for females, will be greater than the values observed in our study. Therefore, we highlight that goats with BW out of the range we used in this study may show different relationships of body constituents.</p>
			<p>Based on the aforementioned, the magnitude of interrelations among protein, fat, and macromineral are different between male (castrated and intact males) and female Saanen goats from 5 to 45 kg BW. Elucidation of differences between sexes with regards to interrelations of major body constituents in goats may be useful to understand the role of sex on metabolic links among body protein, fat, and macrominerals in this species. The findings of this study may help to design diets with adequate nutrient contents for growing goats. Also, they may contribute for designing additional studies to a better understanding of the interrelations between organic and inorganic body constituents and the factors that may affect them in ruminants.</p>
		</sec>
		<sec sec-type="conclusions">
			<title>Conclusions</title>
			<p>The hypothesis that the magnitudes of the interrelations among protein, fat, and macrominerals in the body of Saanen goats differ between sexes is not rejected. This study suggests that potassium and phosphorus are the main macrominerals affecting body protein of male Saanen goats, whereas in females, body potassium and calcium are the main minerals affecting body protein.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgments</title>
			<p>The authors are thankful to the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP; grant number 2014/14734-9) and Asociación Universitaria Iberoamericana de Postgrado (AUIP, Grant number 166754-1), for the financial support.</p>
		</ack>
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