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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">00610</article-id>
			<article-id pub-id-type="doi">10.1590/rbz4720170208</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Ruminants</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Performance and fatty acid profile of Holstein calves slaughtered at different weights</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-3090-345X</contrib-id>
					<name>
						<surname>Dias</surname>
						<given-names>Ana Maria Osorio</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-3543-8294</contrib-id>
					<name>
						<surname>Menezes</surname>
						<given-names>Luis Fernando Glasenapp de</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
					<xref ref-type="corresp" rid="c1">*</xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-3128-7844</contrib-id>
					<name>
						<surname>Paris</surname>
						<given-names>Wagner</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-0443-5437</contrib-id>
					<name>
						<surname>Paula</surname>
						<given-names>Fabiana Luiza Matielo de</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-0792-6300</contrib-id>
					<name>
						<surname>Schmitz</surname>
						<given-names>Gean Rodrigo</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-7508-7003</contrib-id>
					<name>
						<surname>Souza</surname>
						<given-names>Saimon de Souza e</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-2891-9118</contrib-id>
					<name>
						<surname>Umezaki</surname>
						<given-names>Adriano Moreira</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-4821-074X</contrib-id>
					<name>
						<surname>Farias</surname>
						<given-names>João de Assis</given-names>
						<suffix>Filho</suffix>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<aff id="aff1">
					<label>1</label>
					<institution content-type="normalized">Universidade Federal de Santa Maria</institution>
					<institution content-type="orgname">Universidade Federal de Santa Maria</institution>
					<institution content-type="orgdiv1">Programa de Pós-graduação em Zootecnia</institution>
					<addr-line>
						<named-content content-type="city">Santa Maria</named-content>
						<named-content content-type="state">RS</named-content>
					</addr-line>
					<country country="BR">Brasil</country>
					<institution content-type="original">Universidade Federal de Santa Maria, Programa de Pós-graduação em Zootecnia, Santa Maria, RS, Brasil</institution>
				</aff>
				<aff id="aff2">
					<label>2</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>
			</contrib-group>
			<author-notes>
				<corresp id="c1">
					<label>*</label><bold>Corresponding author:</bold><email>luismenezes@utfpr.edu.br</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>e20170208</elocation-id>
			<history>
				<date date-type="received">
					<day>18</day>
					<month>08</month>
					<year>2017</year>
				</date>
				<date date-type="accepted">
					<day>05</day>
					<month>04</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>Our objective was to evaluate performance and fatty acid contents of the meat of Holstein veal fed in feedlots and slaughtered at four different pre-determined live weights (140, 180, 220, and 260 kg). Twenty-three non-castrated calves with initial average ages of 58 days and 57 kg live weight were used in this study. Average daily gain, dry matter intake, nutrient intake, cold carcass weight, cold carcass yield, scraps, and fat thickness improved with increasing slaughter weight. However, C18:0, C22:0, C18:2Trans10Cis12, C18:1n9Cis acids, sum of unsaturated fatty acids, and lipid content decreased with the increase in slaughter weight. Raising the slaughter weight of Holstein calves from 144 to 260 kg improves the performance of animals, mainly due to the increase in their intake capacity. However, this increase in slaughter weight does not result in significant changes in the fatty acid composition of the meat.</p>
			</abstract>
			<kwd-group xml:lang="en">
				<title>Key Words:</title>
				<kwd>feedlot</kwd>
				<kwd>omega 3</kwd>
				<kwd>omega 6</kwd>
				<kwd>polyunsaturated fatty acids</kwd>
				<kwd>weight gain</kwd>
			</kwd-group>
			<funding-group>
				<award-group>
					<funding-source>CNPq</funding-source>
					<award-id>470988/2010-0</award-id>
				</award-group>
				<award-group>
					<funding-source>Fundação Araucária</funding-source>
					<award-id>17505</award-id>
				</award-group>
				<award-group>
					<funding-source>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES)</funding-source>
					<award-id>001</award-id>
				</award-group>
			</funding-group>
			<counts>
				<fig-count count="0"/>
				<table-count count="6"/>
				<equation-count count="1"/>
				<ref-count count="37"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>Introduction</title>
			<p>Animal protein consumption is increasing both quantitatively and qualitatively. The consumer market values attributes such as palatability (tenderness, flavor, and juiciness), appearance (color, firmness, and marbling), convenience (cut or sliced product), and health and nutrition (protein, cholesterol, and other benefits) (<xref ref-type="bibr" rid="B29">Sobczuk-Szul et al., 2013</xref>). However, the consumption of red meat has been linked to the onset of cardiovascular diseases, hypertension, and obesity (<xref ref-type="bibr" rid="B29">Sobczuk-Szul et al., 2013</xref>). As a result, consumer interest in foods with desirable nutritional characteristics and health benefits has been rising. Beef calves may represent an alternative to red meat due to its low fat content ((<xref ref-type="bibr" rid="B9">Domaradzki et al., 2017</xref>). However, some research has suggested that the consumption of red meat is not a precursor to cardiovascular diseases, hypertension, and obesity, and does not raise the risk of cancer (<xref ref-type="bibr" rid="B14">Kim et al., 2016</xref>). Furthermore, beef has reasonable amounts of <italic>cis</italic>-9,<italic>trans</italic>-11 conjugated linoleic acid (CLA), which has anti-carcinogenic effects (<xref ref-type="bibr" rid="B11">Griinari and Bauman, 2001</xref>). Although CLA is present in small quantities in meat products deriving from ruminants (1.7-10.8 mg CLA/g of fat in meat), its effects are highly significant for human nutrition (<xref ref-type="bibr" rid="B37">Wood et al., 2008</xref>) as well as in the formation of omega-3 fatty acids.</p>
			<p>
				<xref ref-type="bibr" rid="B24">Sañudo et al. (2004)</xref> noted that breed and slaughter weights influenced carcass and meat quality parameters in several ways, including muscle structure and meat physiology. However, these authors worked with animals that were specifically bred for meat production and, thus, had relatively high slaughter weights, which calves do not.</p>
			<p>Calves represent an alternative source of income to the dairy sector, and the use of these animals in feedlot allows a reduction in the age at slaughter and higher working capital within the cattle industry (<xref ref-type="bibr" rid="B17">Lopez-Campos et al., 2013</xref>). However, there is little information on the ideal live weight for slaughter of animals at this age, in terms of both performance and fatty acid profile of the meat. Thus, our objective was to analyze the performance and fatty acid profile of Holstein calves slaughtered at different live weights.</p>
		</sec>
		<sec sec-type="materials|methods">
			<title>Material and Methods</title>
			<p>Experiments were conducted in accordance with the ARRIVE guidelines and the UK Animals (Scientific Procedures) Act, 1986, other associated guidelines, and the EU Directive 2010/63/EU for animal experiments, and carried out in Dois Vizinhos, PR, Brazil (at latitude 25°42′52″ S, longitude 53°03′94″ W, and 519 m above sea level). Twenty-three non-castrated Holstein calves raised in feedlot, with an approximate starting age of 58±3 days and an average live weight of 57±8 kg, were randomly divided into four pre-stipulated slaughter weights (140, 180, 220, and 260 kg live weight).</p>
			<p>Calves had a 15-day period to adapt to the facilities and employee management system. At weaning, the animals received an ADE vitamin injection, were dewormed with Albendazole, and weighed after a solid fast period of 16 h. The animals were also vaccinated against clostridial diseases and foot-and-mouth disease according to the official calendar, then administered 1% ivermectin injections on the day of entry into the experiment to control parasitic infections, with additional administrations every 28 days during the weighing period. The animals were placed in individual pens and provided with a diet of corn silage as roughage and a concentrate commercial pellet containing 19% crude protein at a forage:concentrate ratio of 40:60. Calves were fed twice daily, with 50% of the feed provided at 09:00 h and the rest at 16:00 h. A spare margin of 10% of the supplied nutrition was maintained, and the remains of the previous day weighed to estimate intake. Then, animals were weighed every 28 days after being subjected to fasting of solids and liquids for approximately 14 h, thus providing the average daily weight gain (ADG) of the animal. The feed conversion of each animal was calculated by dividing measured daily intake of dry matter (DM) by ADG during the trial period.</p>
			<p>The diet amount was calculated to allow approximately 10% as leftovers and was formulated based on nutritional requirements established by the <xref ref-type="bibr" rid="B22">NRC (2001)</xref> to generate an expected daily weight gain of 1.0 kg (<xref ref-type="table" rid="t1">Table 1</xref>). To determine the availability of each constituent, samples of concentrate and silage were weighed and put into a forced-air oven at 65 °C until they reached a constant weight. Crude protein (CP) content was evaluated via the Kjeldahl method (<xref ref-type="bibr" rid="B3">AOAC, 1995</xref>); neutral detergent fiber (NDF) and acid detergent fiber (ADF) were determined by the method described by <xref ref-type="bibr" rid="B34">Van Soest et al. (1991)</xref>; and <italic>in vitro</italic> dry matter digestibility (IVDMD) was assessed using the approach described by <xref ref-type="bibr" rid="B31">Tilley and Terry (1963)</xref> to estimate dietary total digestible nutrients (TDN). Following this latter method, feeds were incubated in tubes containing 50 mL phosphate-buffered saline (final pH 6.69) prepared using a ratio of 4:1 (v:v) of artificial saliva and rumen fluid. Two tubes containing only the buffered solution (“blank run”) and two tubes with known digestibility of the forage sample (“food standard”) were included in the test. After 48 h of incubation, 4 mL of 7.4% (v/v) hydrochloric acid (HCl) and 2 mL of 5% (w/v) pepsin (1:10,000 diluted) were added to each tube. After 48 h, all samples were vacuum-filtered, then dried (105 °C), and weighed for calculation of IVDMD.</p>
			<table-wrap id="t1">
				<label>Table 1</label>
				<caption>
					<title>Chemical composition of the experimental diet</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="33%">
						<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 (g kg<sup>-1</sup>)</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">Diet</th>
						</tr>
						<tr>
							<th align="center">Concentrate</th>
							<th align="center">Corn silage</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">Dry matter</td>
							<td align="center">840</td>
							<td align="center">287</td>
						</tr>
						<tr>
							<td align="left">Crude protein</td>
							<td align="center">190</td>
							<td align="center">838</td>
						</tr>
						<tr>
							<td align="left">Neutral detergent fiber</td>
							<td align="center">180</td>
							<td align="center">451</td>
						</tr>
						<tr>
							<td align="left">Acid detergent fiber</td>
							<td align="center">93</td>
							<td align="center">302</td>
						</tr>
						<tr>
							<td align="left">Ash</td>
							<td align="center">69</td>
							<td align="center">16</td>
						</tr>
						<tr>
							<td align="left">Total digestible nutrients</td>
							<td align="center">699</td>
							<td align="center">605</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<p>Estimations of TDN from the organic matter digestibility (OMD) were calculated based on an equation described by <xref ref-type="bibr" rid="B15">Kunkle and Bates (1998)</xref>, wherein <inline-formula>
					<mml:math display="inline" id="m1">
						<mml:mrow>
							<mml:mi>TDN</mml:mi>
							<mml:mo>=</mml:mo>
							<mml:mi>OM</mml:mi>
							<mml:mo>{</mml:mo>
							<mml:mo stretchy="false">[</mml:mo>
							<mml:mn>26.8</mml:mn>
							<mml:mo>+</mml:mo>
							<mml:mn>0.595</mml:mn>
							<mml:mo stretchy="false">(</mml:mo>
							<mml:mi>IVOMD</mml:mi>
							<mml:mo stretchy="false">]</mml:mo>
							<mml:mo>/</mml:mo>
							<mml:mn>100</mml:mn>
							<mml:mo>}</mml:mo>
						</mml:mrow>
					</mml:math>
				</inline-formula>, in which TDN = total digestible nutrients (%), OM = organic matter (%), and IVOMD = <italic>in vitro</italic> organic matter digestibility (%).</p>
			<p>Total nutrient intake was calculated using nutrient values obtained from the chemical analysis of both concentrate and silage, as DM × (60% of concentrate nutrient content + 40% of silage nutrient content), thus providing individual intake of each nutrient, CPI, NDFI, ADFI, and TDNI (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
			<table-wrap id="t2">
				<label>Table 2</label>
				<caption>
					<title>Average performance and nutrient intake of Holstein calves with different slaughter weights</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</th>
							<th align="center" colspan="4" style="border-bottom: thin solid; border-color: #000000">Slaughter weight (kg)</th>
							<th align="center" rowspan="2" valign="middle">CV (%)</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">P-value</th>
						</tr>
						<tr>
							<th align="center">144.6</th>
							<th align="center">179.8</th>
							<th align="center">227.6</th>
							<th align="center">260.5</th>
							<th align="center">L</th>
							<th align="center">Q</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">Feedlot (days)</td>
							<td align="center">111.9</td>
							<td align="center">150.7</td>
							<td align="center">150.9</td>
							<td align="center">176.3</td>
							<td align="center">11.00</td>
							<td align="center">0.0001<xref ref-type="table-fn" rid="TFN1">1</xref>
							</td>
							<td align="center">0.2319</td>
						</tr>
						<tr>
							<td align="left">FW (kg)</td>
							<td align="center">144.7</td>
							<td align="center">180.5</td>
							<td align="center">226.2</td>
							<td align="center">256.7</td>
							<td align="center">3.17</td>
							<td align="center">0.0001<xref ref-type="table-fn" rid="TFN2">2</xref>
							</td>
							<td align="center">0.5370</td>
						</tr>
						<tr>
							<td align="left">ADG (kg)</td>
							<td align="center">0.777</td>
							<td align="center">0.811</td>
							<td align="center">1.108</td>
							<td align="center">1.153</td>
							<td align="center">14.30</td>
							<td align="center">0.0001<xref ref-type="table-fn" rid="TFN3">3</xref>
							</td>
							<td align="center">0.7276</td>
						</tr>
						<tr>
							<td align="left">DMI (kg)</td>
							<td align="center">2.36</td>
							<td align="center">3.38</td>
							<td align="center">3.53</td>
							<td align="center">4.51</td>
							<td align="center">20.16</td>
							<td align="center">0.0001<xref ref-type="table-fn" rid="TFN4">4</xref>
							</td>
							<td align="center">0.8166</td>
						</tr>
						<tr>
							<td align="left">DMI (% LW)</td>
							<td align="center">2.34</td>
							<td align="center">2.83</td>
							<td align="center">2.43</td>
							<td align="center">2.89</td>
							<td align="center">20.83</td>
							<td align="center">0.2662</td>
							<td align="center">0.7806</td>
						</tr>
						<tr>
							<td align="left">TDNI (kg)</td>
							<td align="center">2.14</td>
							<td align="center">3.05</td>
							<td align="center">3.18</td>
							<td align="center">4.05</td>
							<td align="center">19.95</td>
							<td align="center">0.0001<xref ref-type="table-fn" rid="TFN5">5</xref>
							</td>
							<td align="center">0.8117</td>
						</tr>
						<tr>
							<td align="left">TDNI (% LW)</td>
							<td align="center">2.13</td>
							<td align="center">2.55</td>
							<td align="center">2.19</td>
							<td align="center">2.57</td>
							<td align="center">20.62</td>
							<td align="center">0.2988</td>
							<td align="center">0.7899</td>
						</tr>
						<tr>
							<td align="left">CPI (kg)</td>
							<td align="center">0.479</td>
							<td align="center">0.682</td>
							<td align="center">0.714</td>
							<td align="center">0.905 .</td>
							<td align="center">19.92</td>
							<td align="center">0.0001<xref ref-type="table-fn" rid="TFN6">6</xref>
							</td>
							<td align="center">0.7950</td>
						</tr>
						<tr>
							<td align="left">CPI (% LW)</td>
							<td align="center">0.476</td>
							<td align="center">0.570</td>
							<td align="center">0.491</td>
							<td align="center">0.581</td>
							<td align="center">20.74</td>
							<td align="center">0.2996</td>
							<td align="center">0.7904</td>
						</tr>
						<tr>
							<td align="left">NDFI (kg)</td>
							<td align="center">0.937</td>
							<td align="center">1.336</td>
							<td align="center">1.382</td>
							<td align="center">1.785</td>
							<td align="center">20.52</td>
							<td align="center">0.0001<xref ref-type="table-fn" rid="TFN7">7</xref>
							</td>
							<td align="center">0.8686</td>
						</tr>
						<tr>
							<td align="left">NDFI (% LW)</td>
							<td align="center">0.928</td>
							<td align="center">1.117</td>
							<td align="center">0.954</td>
							<td align="center">1.144</td>
							<td align="center">20.77</td>
							<td align="center">0.2790</td>
							<td align="center">0.8220</td>
						</tr>
						<tr>
							<td align="left">ADFI (kg)</td>
							<td align="center">0.572</td>
							<td align="center">0.815</td>
							<td align="center">0.859</td>
							<td align="center">1.084</td>
							<td align="center">20.25</td>
							<td align="center">0.0001<xref ref-type="table-fn" rid="TFN8">8</xref>
							</td>
							<td align="center">0.7836</td>
						</tr>
						<tr>
							<td align="left">ADFI (% LW)</td>
							<td align="center">0.568</td>
							<td align="center">0.682</td>
							<td align="center">0.594</td>
							<td align="center">0.695</td>
							<td align="center">20.40</td>
							<td align="center">0.2785</td>
							<td align="center">0.7479</td>
						</tr>
						<tr>
							<td align="left">FC (kg DM/kg ADG)</td>
							<td align="center">3.11</td>
							<td align="center">4.14</td>
							<td align="center">3.16</td>
							<td align="center">4.03</td>
							<td align="center">23.51</td>
							<td align="center">0.3384</td>
							<td align="center">0.5829</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN1a">
						<p>LW - live weight; FW - final weight; ADG - average daily gain; DMI - dry matter intake; TDNI - total digestible nutrient intake; CPI - crude protein intake; NDFI - neutral detergent fiber intake; ADFI - acid detergent fiber intake; FC - food conversion; CV - coefficient of variation; L and Q - linear and quadratic regression effects, respectively.</p>
					</fn>
					<fn id="TFN1">
						<label>1</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m2">
									<mml:mrow>
										<mml:mi>Days</mml:mi>
										<mml:mo>=</mml:mo>
										<mml:mn>153.09</mml:mn>
										<mml:mo>−</mml:mo>
										<mml:mn>1.68</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mi>IW</mml:mi>
										<mml:mo>+</mml:mo>
										<mml:mn>0.473</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>SW;</mml:mtext>
										<mml:msup>
											<mml:mi mathvariant="normal">r</mml:mi>
											<mml:mn>2</mml:mn>
										</mml:msup>
										<mml:mo>=</mml:mo>
										<mml:mn>0.73</mml:mn>
										<mml:mo>.</mml:mo>
									</mml:mrow>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN2">
						<label>2</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m3">
									<mml:mi>FW</mml:mi>
									<mml:mo>=</mml:mo>
									<mml:mo>−</mml:mo>
									<mml:mn>5.68</mml:mn>
									<mml:mo>+</mml:mo>
									<mml:mn>0.2837</mml:mn>
									<mml:mo>×</mml:mo>
									<mml:mi>IW</mml:mi>
									<mml:mo>+</mml:mo>
									<mml:mn>0.9544</mml:mn>
									<mml:mo>×</mml:mo>
									<mml:mtext>SW;</mml:mtext>
									<mml:msup>
										<mml:mi mathvariant="normal">r</mml:mi>
										<mml:mn>2</mml:mn>
									</mml:msup>
									<mml:mo>=</mml:mo>
									<mml:mn>0.98</mml:mn>
									<mml:mo>.</mml:mo>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN3">
						<label>3</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m4">
									<mml:mi>ADG</mml:mi>
									<mml:mo>=</mml:mo>
									<mml:mo>−</mml:mo>
									<mml:mn>0.113</mml:mn>
									<mml:mo>+</mml:mo>
									<mml:mn>0.0059</mml:mn>
									<mml:mo>×</mml:mo>
									<mml:mi>IW</mml:mi>
									<mml:mo>+</mml:mo>
									<mml:mn>0.00362</mml:mn>
									<mml:mo>×</mml:mo>
									<mml:mtext>SW;</mml:mtext>
									<mml:msup>
										<mml:mi mathvariant="normal">r</mml:mi>
										<mml:mn>2</mml:mn>
									</mml:msup>
									<mml:mo>=</mml:mo>
									<mml:mn>0.63</mml:mn>
									<mml:mo>.</mml:mo>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN4">
						<label>4</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m5">
									<mml:mi>DMI</mml:mi>
									<mml:mo>=</mml:mo>
									<mml:mn>0.3214</mml:mn>
									<mml:mo>−</mml:mo>
									<mml:mn>0.0023</mml:mn>
									<mml:mo>×</mml:mo>
									<mml:mi>IW</mml:mi>
									<mml:mo>+</mml:mo>
									<mml:mn>0.0163</mml:mn>
									<mml:mo>×</mml:mo>
									<mml:mtext>SW;</mml:mtext>
									<mml:msup>
										<mml:mi mathvariant="normal">r</mml:mi>
										<mml:mn>2</mml:mn>
									</mml:msup>
									<mml:mo>=</mml:mo>
									<mml:mn>0.53</mml:mn>
									<mml:mo>.</mml:mo>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN5">
						<label>5</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m6">
									<mml:mi>TDNI</mml:mi>
									<mml:mo>=</mml:mo>
									<mml:mn>0.3404</mml:mn>
									<mml:mo>−</mml:mo>
									<mml:mn>0.0022</mml:mn>
									<mml:mo>×</mml:mo>
									<mml:mi>IW</mml:mi>
									<mml:mo>+</mml:mo>
									<mml:mn>0.0145</mml:mn>
									<mml:mo>×</mml:mo>
									<mml:mtext>SW;</mml:mtext>
									<mml:msup>
										<mml:mtext>r</mml:mtext>
										<mml:mn>2</mml:mn>
									</mml:msup>
									<mml:mo>=</mml:mo>
									<mml:mn>0.53</mml:mn>
									<mml:mo>.</mml:mo>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN6">
						<label>6</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m7">
									<mml:mi>CPI</mml:mi>
									<mml:mo>=</mml:mo>
									<mml:mn>0.0812</mml:mn>
									<mml:mo>−</mml:mo>
									<mml:mn>0.0005</mml:mn>
									<mml:mo>×</mml:mo>
									<mml:mi>IW</mml:mi>
									<mml:mo>+</mml:mo>
									<mml:mn>0.00324</mml:mn>
									<mml:mo>×</mml:mo>
									<mml:mtext>SW;</mml:mtext>
									<mml:msup>
										<mml:mtext>r</mml:mtext>
										<mml:mn>2</mml:mn>
									</mml:msup>
									<mml:mo>=</mml:mo>
									<mml:mn>0.53</mml:mn>
									<mml:mo>.</mml:mo>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN7">
						<label>7</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m8">
									<mml:mi>NDFI</mml:mi>
									<mml:mo>=</mml:mo>
									<mml:mn>0.1161</mml:mn>
									<mml:mo>−</mml:mo>
									<mml:mn>0.0006</mml:mn>
									<mml:mo>×</mml:mo>
									<mml:mtext>IW</mml:mtext>
									<mml:mo>+</mml:mo>
									<mml:mn>0.00641</mml:mn>
									<mml:mo>×</mml:mo>
									<mml:mtext>SW;</mml:mtext>
									<mml:msup>
										<mml:mtext>r</mml:mtext>
										<mml:mn>2</mml:mn>
									</mml:msup>
									<mml:mo>=</mml:mo>
									<mml:mn>0.53</mml:mn>
									<mml:mo>.</mml:mo>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN8">
						<label>8</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m9">
									<mml:mi>ADFI</mml:mi>
									<mml:mo>=</mml:mo>
									<mml:mn>0.094</mml:mn>
									<mml:mo>−</mml:mo>
									<mml:mn>0.0007</mml:mn>
									<mml:mo>×</mml:mo>
									<mml:mi>IW</mml:mi>
									<mml:mo>+</mml:mo>
									<mml:mn>0.0039</mml:mn>
									<mml:mo>×</mml:mo>
									<mml:mtext>SW;</mml:mtext>
									<mml:msup>
										<mml:mtext>r</mml:mtext>
										<mml:mn>2</mml:mn>
									</mml:msup>
									<mml:mo>=</mml:mo>
									<mml:mn>0.54</mml:mn>
									<mml:mo>.</mml:mo>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>The animals were slaughtered in a slaughterhouse. After slaughter, the two half-carcasses were washed, identified, and weighed before being taken to the cooling chamber to obtain the hot carcass weight. After a cooling period of 24 h at a temperature of −2 °C, the carcasses were reweighed to obtain the cold carcass weight and to check the yields of the hot and cold carcasses and losses due to cooling. A section was taken from between the 11th and 12th ribs of the right half of the cold carcass, designated as “HH section”, in accordance with the methodology proposed by <xref ref-type="bibr" rid="B12">Hankins and Howe (1946)</xref> and adapted by <xref ref-type="bibr" rid="B20">Müller (1987)</xref>. From that section, the muscle, fat, and bone tissues were physically separated for determination of the total quantity and percentage of these tissues relative to the cold carcass. In that same section, the degree of meat marbling at the height of the 12th rib on the exposed face of the <italic>longissimus dorsi</italic> muscle was subjectively evaluated and scored based on the methodology described by <xref ref-type="bibr" rid="B20">Müller (1987)</xref>. The value of the subcutaneous fat thickness was obtained by averaging three observations in the same location.</p>
			<p>Sample preparation (extraction and methylation), as well as quantitative and qualitative determination of the lipid fraction and fatty acid composition, were carried out in a laboratory. Extraction of total lipids was performed according to the method described by <xref ref-type="bibr" rid="B4">Bligh and Dyer (1959)</xref>. Fatty acids were esterified according to the technique described by <xref ref-type="bibr" rid="B13">Hartman and Lake (1973)</xref> and analyzed in an Agilent gas chromatograph (HP6890 model) equipped with a flame ionization detector and capillary column (Supelco SP2560; 100 m × 0.25 mm × 0.2 μm). The injector and detector temperatures were maintained at 250 °C and 280 °C, respectively. The temperature protocol used for the separation of fatty acid esters was 140 °C for 5 min, then increased by 1.6 °C/min to 210 °C and maintained for 10 min, then increased again by 10 °C/min to 240 °C and maintained for 15 min, for a total run time of 76 min. The carrier gas flow rate (N<sub>2</sub>) was 30 mL/min, and the injection volume was 1 μL with a split ratio of 1:50. Identification of fatty acids was performed by comparing retention time to samples with known standards.</p>
			<p>The experimental design was completely randomized, with 23 total animals slaughtered by weight: five animals at 140 kg, six animals at 180 kg, six animals at 220 kg, and six animals at 260 kg. Each animal represented an experimental unit. The mathematical model used in this study, in which the initial live weight of the animals was set as a covariate, was as follows:</p>
			<disp-formula id="eq1">
				<mml:math display="block" id="m10">
					<mml:mrow>
						<mml:msub>
							<mml:mtext>Y</mml:mtext>
							<mml:mrow>
								<mml:mtext>ijkl</mml:mtext>
							</mml:mrow>
						</mml:msub>
						<mml:mo>=</mml:mo>
						<mml:mtext>μ</mml:mtext>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mrow>
								<mml:mtext>IW</mml:mtext>
							</mml:mrow>
							<mml:mtext>k</mml:mtext>
						</mml:msub>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mrow>
								<mml:mtext>SW</mml:mtext>
							</mml:mrow>
							<mml:mtext>j</mml:mtext>
						</mml:msub>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mtext>E</mml:mtext>
							<mml:mrow>
								<mml:mtext>ijkl</mml:mtext>
							</mml:mrow>
						</mml:msub>
						<mml:mo>,</mml:mo>
					</mml:mrow>
				</mml:math>
			</disp-formula>
			<p>in which Y<sub>ijkl</sub> = dependent variables; μ = average of all observations; IW<sub>k</sub> = effect of the <italic>k</italic>-th initial live weight; SW<sub>j</sub> = effect of the <italic>j</italic>-th slaughter weight; and E<sub>ijkl</sub> = residual random error.</p>
			<p>Data were tested by ANOVA, with polynomial regression analysis using actual slaughter weight performed when statistical differences between slaughter weight categories were detected. Variables were also subjected to Pearson correlation analysis. All statistical analyses were performed with SAS (Statistical Analysis System, version 9.2).</p>
		</sec>
		<sec sec-type="results">
			<title>Results</title>
			<p>As expected, the finishing time of calves increased (P&lt;0.05) with increasing slaughter weight, as did ADG (P&lt;0.05). Moreover, ADG affected finishing time of the animals, with time of feedlot averaging 147 days. Animals with higher slaughter weights had a higher absolute DM intake (P&lt;0.05) according to the weight gain of the animal (<xref ref-type="table" rid="t2">Table 2</xref>). This occurred concurrently with the absolute intake of nutrients (TDN and CP) and fibrous compounds (NDF and ADF). However, the effect of slaughter weight disappeared when these factors were adjusted as percentages of live weight. The trends for DM intake and weight gain were similar, indicating that feed conversion was not influenced by increasing slaughter weight (P&gt;0.05).</p>
			<p>Slaughter weight had a positive influence (P&lt;0.05) on weight and cold carcass yield, subcutaneous fat thickness, and absolute weight of the scraps. On the other hand, marbling content and percentage of fat in the carcass were not influenced by higher slaughter weight (<xref ref-type="table" rid="t3">Table 3</xref>).</p>
			<table-wrap id="t3">
				<label>Table 3</label>
				<caption>
					<title>Average carcass characteristics of Holstein calves with different slaughter weights</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</th>
							<th align="center" colspan="4" style="border-bottom: thin solid; border-color: #000000">Slaughter weight (kg)</th>
							<th align="center" rowspan="2" valign="middle">SE</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">P-value</th>
						</tr>
						<tr>
							<th align="center">144.6</th>
							<th align="center">179.8</th>
							<th align="center">227.6</th>
							<th align="center">260.5</th>
							<th align="center">L</th>
							<th align="center">Q</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">Cold carcass weight (kg)</td>
							<td align="center">67.89</td>
							<td align="center">87.24</td>
							<td align="center">111.01</td>
							<td align="center">128.60</td>
							<td align="center">2.2</td>
							<td align="center">0.0001<xref ref-type="table-fn" rid="TFN9">*</xref>
							</td>
							<td align="center">0.8137</td>
						</tr>
						<tr>
							<td align="left">Cold carcass yield (%)</td>
							<td align="center">46.88</td>
							<td align="center">48.26</td>
							<td align="center">49.23</td>
							<td align="center">49.98</td>
							<td align="center">0.7</td>
							<td align="center">0.0024<xref ref-type="table-fn" rid="TFN10">**</xref>
							</td>
							<td align="center">0.6500</td>
						</tr>
						<tr>
							<td align="left">Scraps (kg)</td>
							<td align="center">1.31</td>
							<td align="center">2.25</td>
							<td align="center">2.67</td>
							<td align="center">3.95</td>
							<td align="center">0.5</td>
							<td align="center">0.0004<xref ref-type="table-fn" rid="TFN11">***</xref>
							</td>
							<td align="center">0.7923</td>
						</tr>
						<tr>
							<td align="left">Scraps (kg/100 kg SW)</td>
							<td align="center">0.91</td>
							<td align="center">1.24</td>
							<td align="center">1.19</td>
							<td align="center">1.54</td>
							<td align="center">0.2</td>
							<td align="center">0.0525</td>
							<td align="center">0.9320</td>
						</tr>
						<tr>
							<td align="left">Fat thickness (mm)</td>
							<td align="center">0.36</td>
							<td align="center">0.83</td>
							<td align="center">1.09</td>
							<td align="center">1.01</td>
							<td align="center">0.2</td>
							<td align="center">0.0374<xref ref-type="table-fn" rid="TFN12">****</xref>
							</td>
							<td align="center">0.2435</td>
						</tr>
						<tr>
							<td align="left">Marbling (points)<xref ref-type="table-fn" rid="TFN13">1</xref>
							</td>
							<td align="center">1.73</td>
							<td align="center">2.5</td>
							<td align="center">3.56</td>
							<td align="center">2.33</td>
							<td align="center">0.5</td>
							<td align="center">0.2213</td>
							<td align="center">0.0648</td>
						</tr>
						<tr>
							<td align="left">Fat (%)</td>
							<td align="center">11.54</td>
							<td align="center">13.12</td>
							<td align="center">14.84</td>
							<td align="center">13.08</td>
							<td align="center">0.9</td>
							<td align="center">0.1266</td>
							<td align="center">0.0811</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN9a">
						<p>SW - slaughter weight; IW - initial weight; SE - standard error; L and Q - linear and quadratic regression effects, respectively.</p>
					</fn>
					<fn id="TFN9">
						<label>*</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m11">
									<mml:mrow>
										<mml:mtext>Cold carcass weight</mml:mtext>
										<mml:mo>=</mml:mo>
										<mml:mo>−</mml:mo>
										<mml:mn>18.36</mml:mn>
										<mml:mo>+</mml:mo>
										<mml:mn>0.2359</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>IW</mml:mtext>
										<mml:mo>+</mml:mo>
										<mml:mn>0.5152</mml:mn>
										<mml:mtext> </mml:mtext>
										<mml:mo>×</mml:mo>
										<mml:mtext>SW</mml:mtext>
										<mml:mo>;</mml:mo>
										<mml:msup>
											<mml:mtext>r</mml:mtext>
											<mml:mn>2</mml:mn>
										</mml:msup>
										<mml:mo>=</mml:mo>
										<mml:mn>0.96.</mml:mn>
									</mml:mrow>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN10">
						<label>**</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m12">
									<mml:mrow>
										<mml:mtext>Cold carcass yield</mml:mtext>
										<mml:mo>=</mml:mo>
										<mml:mn>40.311</mml:mn>
										<mml:mo>+</mml:mo>
										<mml:mn>0.054</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>IW</mml:mtext>
										<mml:mo>+</mml:mo>
										<mml:mn>0.0254</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>SW</mml:mtext>
										<mml:mo>;</mml:mo>
										<mml:msup>
											<mml:mtext>r</mml:mtext>
											<mml:mn>2</mml:mn>
										</mml:msup>
										<mml:mo>=</mml:mo>
										<mml:mn>0.42.</mml:mn>
									</mml:mrow>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN11">
						<label>***</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m13">
									<mml:mrow>
										<mml:mtext>Scraps</mml:mtext>
										<mml:mo>=</mml:mo>
										<mml:mo>−</mml:mo>
										<mml:mn>1.547</mml:mn>
										<mml:mo>−</mml:mo>
										<mml:mn>0.0010</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>IW</mml:mtext>
										<mml:mo>+</mml:mo>
										<mml:mn>0.0208</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>SW</mml:mtext>
										<mml:mo>;</mml:mo>
										<mml:msup>
											<mml:mtext>r</mml:mtext>
											<mml:mn>2</mml:mn>
										</mml:msup>
										<mml:mo>=</mml:mo>
										<mml:mn>0.47.</mml:mn>
									</mml:mrow>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN12">
						<label>****</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m14">
									<mml:mrow>
										<mml:mtext>Fat thickness</mml:mtext>
										<mml:mo>=</mml:mo>
										<mml:mo>−</mml:mo>
										<mml:mn>0.087</mml:mn>
										<mml:mo>−</mml:mo>
										<mml:mn>0.0028</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>IW</mml:mtext>
										<mml:mo>+</mml:mo>
										<mml:mn>0.0054</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>SW;</mml:mtext>
										<mml:msup>
											<mml:mtext>r</mml:mtext>
											<mml:mn>2</mml:mn>
										</mml:msup>
										<mml:mo>=</mml:mo>
										<mml:mn>0.20.</mml:mn>
									</mml:mrow>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN13">
						<label>1</label>
						<p>Marbling: 1-3 = traces; 4-6 = mild; 7-9 = small; 10 to 12 = medium; 13-15 = moderate; 16-18 = abundant.</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>Slaughter weight influenced the levels of lipids, CP, and DM (<xref ref-type="table" rid="t6">Table 6</xref>). Regression analysis revealed that lipid content decreased with increasing animal live weight, whereas CP and DM contents increased. No effect of slaughter weight on ash content was observed. Levels of stearic (C18:0) and behenic (C22:0) acids declined (P&lt;0.05) with higher slaughter weight (<xref ref-type="table" rid="t4">Table 4</xref>). The other variables, as well as the sum of saturated fatty acids, were unaffected by slaughter weight. Likewise, oleic (C18:1 <italic>cis</italic>-9) and linoleic (C18:2 <italic>trans</italic>-10,<italic>cis</italic>-12) acids and the sum of unsaturated fatty acids decreased with increasing slaughter weight (<xref ref-type="table" rid="t5">Table 5</xref>). The sum of omega-6 and omega-3 fatty acid contents did not vary with slaughter weight (P&gt;0.05). Similarly, the n-6:n-3 and polyunsaturated:saturated ratios were unaffected by slaughter weight (<xref ref-type="table" rid="t6">Table 6</xref>).</p>
			<table-wrap id="t4">
				<label>Table 4</label>
				<caption>
					<title>Quantity of saturated fatty acids in the <italic>longissimus lumborum</italic> muscle of Holstein calves according to the slaughter weight (expressed in g 100 g<sup>-1</sup> of lipid)</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">Fatty acid</th>
							<th align="center" colspan="4" style="border-bottom: thin solid; border-color: #000000">Slaughter weight (kg)</th>
							<th align="center" rowspan="2" valign="middle">SE</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">P-value</th>
						</tr>
						<tr>
							<th align="center">144.6</th>
							<th align="center">179.8</th>
							<th align="center">227.6</th>
							<th align="center">260.5</th>
							<th align="center">L</th>
							<th align="center">Q</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">C6:0</td>
							<td align="center">0.08</td>
							<td align="center">0.06</td>
							<td align="center">0.07</td>
							<td align="center">0.09</td>
							<td align="center">0.02</td>
							<td align="center">0.7263</td>
							<td align="center">0.2027</td>
						</tr>
						<tr>
							<td align="left">C8:0</td>
							<td align="center">0.08</td>
							<td align="center">0.09</td>
							<td align="center">0.08</td>
							<td align="center">0.15</td>
							<td align="center">0.02</td>
							<td align="center">0.1368</td>
							<td align="center">0.2851</td>
						</tr>
						<tr>
							<td align="left">C10:0</td>
							<td align="center">0.29</td>
							<td align="center">0.28</td>
							<td align="center">0.23</td>
							<td align="center">0.43</td>
							<td align="center">0.07</td>
							<td align="center">0.3118</td>
							<td align="center">0.1608</td>
						</tr>
						<tr>
							<td align="left">C12:0</td>
							<td align="center">0.41</td>
							<td align="center">0.43</td>
							<td align="center">0.35</td>
							<td align="center">0.46</td>
							<td align="center">0.06</td>
							<td align="center">0.8762</td>
							<td align="center">0.3992</td>
						</tr>
						<tr>
							<td align="left">C14:0</td>
							<td align="center">1.98</td>
							<td align="center">1.91</td>
							<td align="center">1.49</td>
							<td align="center">2.00</td>
							<td align="center">0.24</td>
							<td align="center">0.7627</td>
							<td align="center">0.2375</td>
						</tr>
						<tr>
							<td align="left">C15:0</td>
							<td align="center">0.32</td>
							<td align="center">0.29</td>
							<td align="center">0.27</td>
							<td align="center">0.36</td>
							<td align="center">0.04</td>
							<td align="center">0.6447</td>
							<td align="center">0.1753</td>
						</tr>
						<tr>
							<td align="left">C16:0</td>
							<td align="center">17.53</td>
							<td align="center">16.99</td>
							<td align="center">14.73</td>
							<td align="center">14.42</td>
							<td align="center">1.29</td>
							<td align="center">0.0622</td>
							<td align="center">0.9114</td>
						</tr>
						<tr>
							<td align="left">C17:0</td>
							<td align="center">0.64</td>
							<td align="center">0.61</td>
							<td align="center">0.46</td>
							<td align="center">0.59</td>
							<td align="center">0.06</td>
							<td align="center">0.3778</td>
							<td align="center">0.2479</td>
						</tr>
						<tr>
							<td align="left">C18:0</td>
							<td align="center">16.13</td>
							<td align="center">14.53</td>
							<td align="center">11.83</td>
							<td align="center">12.07</td>
							<td align="center">1.44</td>
							<td align="center">0.0397<xref ref-type="table-fn" rid="TFN14">1</xref>
							</td>
							<td align="center">0.5095</td>
						</tr>
						<tr>
							<td align="left">C20:0</td>
							<td align="center">0.15</td>
							<td align="center">0.15</td>
							<td align="center">0.14</td>
							<td align="center">0.14</td>
							<td align="center">0.01</td>
							<td align="center">0.4724</td>
							<td align="center">0.8284</td>
						</tr>
						<tr>
							<td align="left">C22:0</td>
							<td align="center">0.09</td>
							<td align="center">0.08</td>
							<td align="center">0.07</td>
							<td align="center">0.06</td>
							<td align="center">0.01</td>
							<td align="center">0.0466<xref ref-type="table-fn" rid="TFN15">2</xref>
							</td>
							<td align="center">0.9561</td>
						</tr>
						<tr>
							<td align="left">C24:0</td>
							<td align="center">0.19</td>
							<td align="center">0.74</td>
							<td align="center">0.58</td>
							<td align="center">0.01</td>
							<td align="center">0.45</td>
							<td align="center">0.6706</td>
							<td align="center">0.2240</td>
						</tr>
						<tr>
							<td align="left">Saturated</td>
							<td align="center">37.85</td>
							<td align="center">35.55</td>
							<td align="center">29.86</td>
							<td align="center">30.86</td>
							<td align="center">2.75</td>
							<td align="center">0.0517</td>
							<td align="center">0.5351</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN14a">
						<p>SW - slaughter weight; IW - initial weight; SE - standard error; L and Q - linear and quadratic regression effects, respectively.</p>
					</fn>
					<fn id="TFN14">
						<label>1</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m15">
									<mml:mrow>
										<mml:mtext>C</mml:mtext>
										<mml:mn>18</mml:mn>
										<mml:mo>:</mml:mo>
										<mml:mn>0</mml:mn>
										<mml:mo>=</mml:mo>
										<mml:mn>4.3423</mml:mn>
										<mml:mo>+</mml:mo>
										<mml:mn>0.2831</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>IW</mml:mtext>
										<mml:mo>−</mml:mo>
										<mml:mn>0.03738</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>SW</mml:mtext>
										<mml:mo>;</mml:mo>
										<mml:msup>
											<mml:mtext>r</mml:mtext>
											<mml:mn>2</mml:mn>
										</mml:msup>
										<mml:mo>=</mml:mo>
										<mml:mn>0.45.</mml:mn>
									</mml:mrow>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN15">
						<label>2</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m16">
									<mml:mrow>
										<mml:mtext>C</mml:mtext>
										<mml:mn>22</mml:mn>
										<mml:mo>:</mml:mo>
										<mml:mn>0</mml:mn>
										<mml:mo>=</mml:mo>
										<mml:mn>0.0431</mml:mn>
										<mml:mo>+</mml:mo>
										<mml:mn>0.0014</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>IW</mml:mtext>
										<mml:mo>−</mml:mo>
										<mml:mn>0.00024</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>SW</mml:mtext>
										<mml:mo>;</mml:mo>
										<mml:msup>
											<mml:mtext>r</mml:mtext>
											<mml:mn>2</mml:mn>
										</mml:msup>
										<mml:mo>=</mml:mo>
										<mml:mn>0.34.</mml:mn>
									</mml:mrow>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<table-wrap id="t5">
				<label>Table 5</label>
				<caption>
					<title>Quantity of unsaturated fatty acids in <italic>longissimus lumborum</italic> muscle of Holstein calves according to the slaughter weight (expressed in g 100 g<sup>-1</sup> of lipid)</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">Fatty acid</th>
							<th align="center" colspan="4" style="border-bottom: thin solid; border-color: #000000">Slaughter weight (kg)</th>
							<th align="center" rowspan="2" valign="middle">SE</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">P-value</th>
						</tr>
						<tr>
							<th align="center">144.6</th>
							<th align="center">179.8</th>
							<th align="center">227.6</th>
							<th align="center">260.5</th>
							<th align="center">L</th>
							<th align="center">Q</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">C14:1n5</td>
							<td align="center">0.16</td>
							<td align="center">0.14</td>
							<td align="center">0.11</td>
							<td align="center">0.14</td>
							<td align="center">0.02</td>
							<td align="center">0.3764</td>
							<td align="center">0.1987</td>
						</tr>
						<tr>
							<td align="left">C16:1n7</td>
							<td align="center">1.22</td>
							<td align="center">1.11</td>
							<td align="center">0.75</td>
							<td align="center">1.01</td>
							<td align="center">0.12</td>
							<td align="center">0.1310</td>
							<td align="center">0.1520</td>
						</tr>
						<tr>
							<td align="left">C18:1n9Trans</td>
							<td align="center">0.24</td>
							<td align="center">0.26</td>
							<td align="center">0.22</td>
							<td align="center">0.21</td>
							<td align="center">0.03</td>
							<td align="center">0.3949</td>
							<td align="center">0.6624</td>
						</tr>
						<tr>
							<td align="left">C18:1n9Cis</td>
							<td align="center">20.26</td>
							<td align="center">20.05</td>
							<td align="center">15.66</td>
							<td align="center">16.47</td>
							<td align="center">1.53</td>
							<td align="center">0.0403<xref ref-type="table-fn" rid="TFN16">1</xref>
							</td>
							<td align="center">0.7178</td>
						</tr>
						<tr>
							<td align="left">C18:1n7Trans11</td>
							<td align="center">1.78</td>
							<td align="center">1.80</td>
							<td align="center">1.55</td>
							<td align="center">1.71</td>
							<td align="center">0.17</td>
							<td align="center">0.5111</td>
							<td align="center">0.6509</td>
						</tr>
						<tr>
							<td align="left">C18:2n6Cis9</td>
							<td align="center">8.33</td>
							<td align="center">8.30</td>
							<td align="center">7.25</td>
							<td align="center">6.62</td>
							<td align="center">0.76</td>
							<td align="center">0.0808</td>
							<td align="center">0.6990</td>
						</tr>
						<tr>
							<td align="left">C18:2c9Trans11</td>
							<td align="center">0.21</td>
							<td align="center">0.23</td>
							<td align="center">0.17</td>
							<td align="center">0.29</td>
							<td align="center">0.04</td>
							<td align="center">0.5066</td>
							<td align="center">0.2918</td>
						</tr>
						<tr>
							<td align="left">C18:2Trans10Cis12</td>
							<td align="center">0.019</td>
							<td align="center">0.016</td>
							<td align="center">0.012</td>
							<td align="center">0.010</td>
							<td align="center">0.002</td>
							<td align="center">0.0162<xref ref-type="table-fn" rid="TFN17">2</xref>
							</td>
							<td align="center">0.7476</td>
						</tr>
						<tr>
							<td align="left">C18:3n6</td>
							<td align="center">0.08</td>
							<td align="center">0.07</td>
							<td align="center">0.09</td>
							<td align="center">0.05</td>
							<td align="center">0.01</td>
							<td align="center">0.3214</td>
							<td align="center">0.2585</td>
						</tr>
						<tr>
							<td align="left">C18:3n3</td>
							<td align="center">0.81</td>
							<td align="center">0.75</td>
							<td align="center">0.70</td>
							<td align="center">0.73</td>
							<td align="center">0.07</td>
							<td align="center">0.4036</td>
							<td align="center">0.4887</td>
						</tr>
						<tr>
							<td align="left">C20:1n9Cis11</td>
							<td align="center">0.02</td>
							<td align="center">0.02</td>
							<td align="center">0.01</td>
							<td align="center">0.01</td>
							<td align="center">0.002</td>
							<td align="center">0.0677</td>
							<td align="center">0.9693</td>
						</tr>
						<tr>
							<td align="left">C20:2n6</td>
							<td align="center">0.09</td>
							<td align="center">0.07</td>
							<td align="center">0.06</td>
							<td align="center">0.06</td>
							<td align="center">0.01</td>
							<td align="center">0.1247</td>
							<td align="center">0.5380</td>
						</tr>
						<tr>
							<td align="left">C20:3n6</td>
							<td align="center">0.66</td>
							<td align="center">0.49</td>
							<td align="center">0.68</td>
							<td align="center">0.35</td>
							<td align="center">0.15</td>
							<td align="center">0.3677</td>
							<td align="center">0.5851</td>
						</tr>
						<tr>
							<td align="left">C20:4n6</td>
							<td align="center">2.75</td>
							<td align="center">1.97</td>
							<td align="center">2.44</td>
							<td align="center">1.32</td>
							<td align="center">0.52</td>
							<td align="center">0.1608</td>
							<td align="center">0.7213</td>
						</tr>
						<tr>
							<td align="left">C20:5n3</td>
							<td align="center">0.16</td>
							<td align="center">0.15</td>
							<td align="center">0.21</td>
							<td align="center">0.15</td>
							<td align="center">0.04</td>
							<td align="center">0.8690</td>
							<td align="center">0.5940</td>
						</tr>
						<tr>
							<td align="left">C22:6n3</td>
							<td align="center">0.07</td>
							<td align="center">0.03</td>
							<td align="center">0.04</td>
							<td align="center">0.01</td>
							<td align="center">0.02</td>
							<td align="center">0.1810</td>
							<td align="center">0.9949</td>
						</tr>
						<tr>
							<td align="left">C24:1n9</td>
							<td align="center">0.08</td>
							<td align="center">0.08</td>
							<td align="center">0.06</td>
							<td align="center">0.04</td>
							<td align="center">0.02</td>
							<td align="center">0.0775</td>
							<td align="center">0.5341</td>
						</tr>
						<tr>
							<td align="left">Unsaturated</td>
							<td align="center">36.95</td>
							<td align="center">35.55</td>
							<td align="center">30.01</td>
							<td align="center">29.19</td>
							<td align="center">3.41</td>
							<td align="center">0.0416<xref ref-type="table-fn" rid="TFN18">3</xref>
							</td>
							<td align="center">0.9025</td>
						</tr>
						<tr>
							<td align="left">Polyunsaturated</td>
							<td align="center">13.19</td>
							<td align="center">12.09</td>
							<td align="center">11.65</td>
							<td align="center">9.59</td>
							<td align="center">1.39</td>
							<td align="center">0.0962</td>
							<td align="center">0.7185</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN16a">
						<p>SE - standard error; L and Q - linear and quadratic regression effects, respectively; IW - initial weight; SW - slaughter weight.</p>
					</fn>
					<fn id="TFN16">
						<label>1</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m17">
									<mml:mrow>
										<mml:mtext>C</mml:mtext>
										<mml:mn>18</mml:mn>
										<mml:mo>:</mml:mo>
										<mml:mn>1</mml:mn>
										<mml:mi mathvariant="normal">n</mml:mi>
										<mml:mn>9</mml:mn>
										<mml:mtext>Cis</mml:mtext>
										<mml:mo>=</mml:mo>
										<mml:mn>10.1554</mml:mn>
										<mml:mo>+</mml:mo>
										<mml:mn>0.2742</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>IW</mml:mtext>
										<mml:mo>−</mml:mo>
										<mml:mn>0.04123</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>SW;</mml:mtext>
										<mml:msup>
											<mml:mtext>r</mml:mtext>
											<mml:mn>2</mml:mn>
										</mml:msup>
										<mml:mo>=</mml:mo>
										<mml:mn>0.40.</mml:mn>
									</mml:mrow>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN17">
						<label>2</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m18">
									<mml:mrow>
										<mml:mtext>C</mml:mtext>
										<mml:mn>18</mml:mn>
										<mml:mo>:</mml:mo>
										<mml:mn>2</mml:mn>
										<mml:mtext>Trans</mml:mtext>
										<mml:mn>10</mml:mn>
										<mml:mtext>Cis</mml:mtext>
										<mml:mn>12</mml:mn>
										<mml:mo>=</mml:mo>
										<mml:mn>0.02576</mml:mn>
										<mml:mo>+</mml:mo>
										<mml:mn>0.000069</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>IW</mml:mtext>
										<mml:mo>−</mml:mo>
										<mml:mn>0.000077</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>SW</mml:mtext>
										<mml:mo>;</mml:mo>
										<mml:msup>
											<mml:mtext>r</mml:mtext>
											<mml:mn>2</mml:mn>
										</mml:msup>
										<mml:mo>=</mml:mo>
										<mml:mn>0.28.</mml:mn>
									</mml:mrow>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN18">
						<label>3</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m19">
									<mml:mrow>
										<mml:mtext>Unsaturated</mml:mtext>
										<mml:mo>=</mml:mo>
										<mml:mn>18.615</mml:mn>
										<mml:mo>+</mml:mo>
										<mml:mn>0.493</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>IW</mml:mtext>
										<mml:mo>−</mml:mo>
										<mml:mn>0.074</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>SW</mml:mtext>
										<mml:mo>;</mml:mo>
										<mml:msup>
											<mml:mtext>r</mml:mtext>
											<mml:mn>2</mml:mn>
										</mml:msup>
										<mml:mo>=</mml:mo>
										<mml:mn>0.40.</mml:mn>
									</mml:mrow>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<table-wrap id="t6">
				<label>Table 6</label>
				<caption>
					<title>Percentage content of lipids, crude protein, dry matter, and ash and sum of omega-3 fatty acids, omega-6, n-3:n-6, and polyunsaturated:saturated ratio in the <italic>longissimus lumborum</italic> muscle of Holstein calves with different slaughter weights</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">Total fatty acid</th>
							<th align="center" colspan="4" style="border-bottom: thin solid; border-color: #000000">Slaughter weight (kg)</th>
							<th align="center" rowspan="2" valign="middle">SE</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">P-value</th>
						</tr>
						<tr>
							<th align="center">144.6</th>
							<th align="center">179.8</th>
							<th align="center">227.6</th>
							<th align="center">260.5</th>
							<th align="center">L</th>
							<th align="center">Q</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">Lipids</td>
							<td align="center">0.82</td>
							<td align="center">0.79</td>
							<td align="center">0.66</td>
							<td align="center">0.66</td>
							<td align="center">0.06</td>
							<td align="center">0.0364<xref ref-type="table-fn" rid="TFN19">*</xref>
							</td>
							<td align="center">0.7787</td>
						</tr>
						<tr>
							<td align="left">Crude protein</td>
							<td align="center">19.3</td>
							<td align="center">20.0</td>
							<td align="center">21.0</td>
							<td align="center">20.9</td>
							<td align="center">0.35</td>
							<td align="center">0.0049<xref ref-type="table-fn" rid="TFN21">1</xref>
							</td>
							<td align="center">0.2580</td>
						</tr>
						<tr>
							<td align="left">Dry matter</td>
							<td align="center">21.3</td>
							<td align="center">21.9</td>
							<td align="center">22.9</td>
							<td align="center">22.7</td>
							<td align="center">0.38</td>
							<td align="center">0.0130<xref ref-type="table-fn" rid="TFN22">2</xref>
							</td>
							<td align="center">0.2423</td>
						</tr>
						<tr>
							<td align="left">Ash</td>
							<td align="center">1.03</td>
							<td align="center">1.04</td>
							<td align="center">1.16</td>
							<td align="center">1.05</td>
							<td align="center">0.04</td>
							<td align="center">0.4265</td>
							<td align="center">0.1774</td>
						</tr>
						<tr>
							<td align="left">Omega-6 (n-6)</td>
							<td align="center">3.59</td>
							<td align="center">2.60</td>
							<td align="center">3.27</td>
							<td align="center">1.78</td>
							<td align="center">0.67</td>
							<td align="center">0.1851</td>
							<td align="center">0.6854</td>
						</tr>
						<tr>
							<td align="left">Omega-3 (n-3)</td>
							<td align="center">1.04</td>
							<td align="center">0.94</td>
							<td align="center">0.95</td>
							<td align="center">0.90</td>
							<td align="center">0.10</td>
							<td align="center">0.3992</td>
							<td align="center">0.8026</td>
						</tr>
						<tr>
							<td align="left">n-6:n-3</td>
							<td align="center">3.33</td>
							<td align="center">2.82</td>
							<td align="center">3.31</td>
							<td align="center">1.99</td>
							<td align="center">0.56</td>
							<td align="center">0.2278</td>
							<td align="center">0.4660</td>
						</tr>
						<tr>
							<td align="left">Polyunsaturated: saturated</td>
							<td align="center">0.34</td>
							<td align="center">0.37</td>
							<td align="center">0.40</td>
							<td align="center">0.31</td>
							<td align="center">0.02</td>
							<td align="center">0.5838</td>
							<td align="center">0.0384<xref ref-type="table-fn" rid="TFN20">**</xref>
							</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN19a">
						<p>SE - standard error; L and Q - linear and quadratic regression effects, respectively; IW - initial weight; SW - slaughter weight.</p>
					</fn>
					<fn id="TFN19">
						<label>*</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m20">
									<mml:mrow>
										<mml:mtext>Lipids</mml:mtext>
										<mml:mo>=</mml:mo>
										<mml:mn>0.390</mml:mn>
										<mml:mo>+</mml:mo>
										<mml:mn>0.0112</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>IW</mml:mtext>
										<mml:mo>−</mml:mo>
										<mml:mn>0.00158</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>SW</mml:mtext>
										<mml:mo>;</mml:mo>
										<mml:msup>
											<mml:mtext>r</mml:mtext>
											<mml:mn>2</mml:mn>
										</mml:msup>
										<mml:mo>=</mml:mo>
										<mml:mn>0.43.</mml:mn>
									</mml:mrow>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN20">
						<label>**</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m21">
									<mml:mrow>
										<mml:mtext>Polyunsaturated</mml:mtext>
										<mml:mo>:</mml:mo>
										<mml:mtext>saturated ratio</mml:mtext>
										<mml:mo>=</mml:mo>
										<mml:mo>−</mml:mo>
										<mml:mn>0.391</mml:mn>
										<mml:mo>+</mml:mo>
										<mml:mn>0.00089</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>IW</mml:mtext>
										<mml:mo>+</mml:mo>
										<mml:mn>0.00746</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>SW</mml:mtext>
										<mml:mo>−</mml:mo>
										<mml:mn>0.000019</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:msup>
											<mml:mrow>
												<mml:mtext>SW</mml:mtext>
											</mml:mrow>
											<mml:mtext>2</mml:mtext>
										</mml:msup>
										<mml:mo>;</mml:mo>
										<mml:msup>
											<mml:mtext>r</mml:mtext>
											<mml:mn>2</mml:mn>
										</mml:msup>
										<mml:mo>=</mml:mo>
										<mml:mn>0.25.</mml:mn>
									</mml:mrow>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN21">
						<label>1</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m22">
									<mml:mrow>
										<mml:mtext>Crude protein</mml:mtext>
										<mml:mo>=</mml:mo>
										<mml:mn>18.30</mml:mn>
										<mml:mo>−</mml:mo>
										<mml:mn>0.0143</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>IW</mml:mtext>
										<mml:mo>+</mml:mo>
										<mml:mn>0.0143</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>SW</mml:mtext>
										<mml:mo>;</mml:mo>
										<mml:msup>
											<mml:mtext>r</mml:mtext>
											<mml:mn>2</mml:mn>
										</mml:msup>
										<mml:mo>=</mml:mo>
										<mml:mn>0.36.</mml:mn>
									</mml:mrow>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
					<fn id="TFN22">
						<label>2</label>
						<p>
							<inline-formula>
								<mml:math display="inline" id="m23">
									<mml:mrow>
										<mml:mtext>Dry matter</mml:mtext>
										<mml:mo>=</mml:mo>
										<mml:mn>19.91</mml:mn>
										<mml:mo>−</mml:mo>
										<mml:mn>0.0052</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>IW</mml:mtext>
										<mml:mo>+</mml:mo>
										<mml:mn>0.0133</mml:mn>
										<mml:mo>×</mml:mo>
										<mml:mtext>SW</mml:mtext>
										<mml:mo>;</mml:mo>
										<mml:msup>
											<mml:mtext>r</mml:mtext>
											<mml:mn>2</mml:mn>
										</mml:msup>
										<mml:mo>=</mml:mo>
										<mml:mn>0.30.</mml:mn>
									</mml:mrow>
								</mml:math>
							</inline-formula>
						</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
		</sec>
		<sec sec-type="discussion">
			<title>Discussion</title>
			<p>The finishing time of animals ranged from 111.9 to 176.3 days and was linearly correlated with increasing slaughter weight, and the increase in average daily weight gain was not sufficient to reduce the finishing time. The increase in average daily weight gain relative to animal live weight observed in this study is generally not seen in bulls and cows (<xref ref-type="bibr" rid="B5">Costa et al., 2002a</xref>; <xref ref-type="bibr" rid="B1">Andreotti et al., 2015</xref>; <xref ref-type="bibr" rid="B18">Missio et al., 2015</xref>). The reduction in daily weight gain typical of older animals is primarily due to the higher energy demands of physiological maintenance and by the greater energy demand related to the composition of the weight gained. <xref ref-type="bibr" rid="B5">Costa et al. (2002a)</xref>, for instance, in a study involving 14-month-old Red Angus bulls, reported that the percentage of fat in the carcass rose from 21.7 to 26.5% when slaughter weight increased from 340 to 430 kg. In this case, as adipose tissue contains higher concentrations of energy than muscle tissue, the provided diet failed to supply the amount of energy needed to maintain the same rate of ADG. In the present study, the highest slaughter weight was 260 kg and maximum estimated carcass fat only reached 13.5%, a level too low to affect animal performance (<xref ref-type="bibr" rid="B25">Santos et al., 2013</xref>). In addition, the observed weight gain was similar to that previously reported (<xref ref-type="bibr" rid="B19">Montoro et al. 2013</xref>). Thus, our results demonstrate the potential that Holstein calves have for beef production at a young age.</p>
			<p>The increase in animal performance with the increase in slaughter weight is due to the increase in DM and nutrient intake of the animals and a corresponding rise in their ingestive capacity. Some researchers (<xref ref-type="bibr" rid="B5">Costa et al., 2002a</xref>; <xref ref-type="bibr" rid="B18">Missio et al., 2015</xref>) reported a reduction in DM intake with increasing slaughter weight, and <xref ref-type="bibr" rid="B21">NRC (2000)</xref> reported that reductions in feed intake as live weight increases is associated with leptin activity and indicates the presence of higher body fat deposition; however, the animals tested in those studies were slaughtered at a later degree of finishing, unlike in the present study. We observed that differences in daily weight gain ceased to exist when expressed as a percentage of live weight, demonstrating that the increasing intake was due to the larger size of the animals. Even lighter animals displayed efficient intakes of DM and nutrients. Feed intake is directly linked to ingestive capacity of the animal and its potential for growth; thus, animals with greater potential for growth (and higher nutritional demand), such as the Holstein breed, tend to have higher levels of feed intake compared with other breeds (<xref ref-type="bibr" rid="B30">Stoffel et al., 2015</xref>). Animals with a live weight below 150 kg have higher intake rates, according to estimates (<xref ref-type="bibr" rid="B21">NRC, 2000</xref>). Holstein calves with a live weight below 150 kg that are fed diets containing &gt;60% of TDN consume an amount of food equal to approximately 4% of their live weight.</p>
			<p>The TDNI, CPI, NDFI, and ADFI are linked in the same way as DM intake is, to increasing slaughter weight. The <xref ref-type="bibr" rid="B22">NRC (2001)</xref> stated that, in dairy calves, energy intake varies from 1.37 to 2.72 kg of TDN in animals weighing 40-150 kg, and around 2.14 kg for animals weighing ~144 kg. We observed a high rate of intake of TDN, ranging from 2.14 to 4.05 kg, which accounted for the increase in ADG. According to the <xref ref-type="bibr" rid="B22">NRC (2001)</xref>, for developing calves aged 3-6 months, diets consisting of 23% NDF are necessary to maintain rumen microbial balance. In our study, dietary NDF was approximately 28.8% higher than recommended levels, yet, according to the <xref ref-type="bibr" rid="B22">NRC (2001)</xref>, NDFI values of 1-1.2% of live weight are ideal for the growth phase and, if exceeded, would cause intake restriction due to filling of the rumen-reticulum. In our case, intake values ranged from 0.928 to 1.114% of live weight, which were close to the ideal. Confirming that, in this study, the supply of nutrients met the growth requirements and meat production of calves.</p>
			<p>Among cattle, low carcass yield is a shortcoming unique to dairy breeds. According to <xref ref-type="bibr" rid="B10">Fernandes et al. (2004)</xref>, animals selected for meat production generally have carcass yields 7% higher than those of dairy breeds. However, carcass production improved with the increase in carcass yield, because the vital organs, and not the initial stage of life of the animal, represent a greater proportion. Growth rates of muscle tissue, and especially adipose tissue, increase as the animal ages, with the internal organs comprising a lower proportion of empty body weight in older animals. Increasing amounts of adipose tissue may be observed via the greater thickness of subcutaneous fat. Numerous previous studies have reported that carcass fat thickness increases when the slaughter weight of animals is higher (<xref ref-type="bibr" rid="B6">Costa et al., 2002b</xref>; <xref ref-type="bibr" rid="B2">Arboitte et al., 2004</xref>).</p>
			<p>The amount and composition of fatty acids greatly influence the quantity of both body and intramuscular fat (<xref ref-type="bibr" rid="B8">De Smet et al., 2004</xref>). Differences in maturity, age, and/or live weight at slaughter contribute even more to the differences in the amount of fat. Growing and fattening stages are characterized first by increased deposition of fat in the subcutaneous layer, then by increased deposition in the intramuscular layer (<xref ref-type="bibr" rid="B35">Vernon and Flint, 1988</xref>). In our study, lipid content decreased with increasing slaughter weight, despite the little variation in marbling content, as was also noted by <xref ref-type="bibr" rid="B25">Santos et al. (2013)</xref>, who studied the same breed. Stearic (C18:0) and behenic (C22:0) acids both decreased with increasing live weight. Stearic fatty and palmitic acids are among the most abundant fatty acids in beef. The decrease observed in these fatty acids may be related to the reduction of ether extract as the slaughter weight decreased (<xref ref-type="bibr" rid="B26">Scollan et al., 2006</xref>). The correlations observed between ether extract content and stearic and behenic acids were significant (P&lt;0.01; r = 0.95 and 0.72, respectively). However, the variability in these fatty acids was not sufficient to influence the sum of saturated fatty acids.</p>
			<p>We expected to find lower levels of saturated fatty acids in the heavier animals, due to greater concentrate intake. As dietary energy levels increase, the content of monounsaturated fatty acids increase, to the detriment of saturated fatty acids (<xref ref-type="bibr" rid="B32">Toma et al., 2015</xref>). Likewise, <xref ref-type="bibr" rid="B23">Nogalski et al. (2014)</xref> reported that slaughter weight had no effect on the sum of saturated fatty acids when comparing animals whose slaughter weights ranged from 450 to 600 kg</p>
			<p>
				<xref ref-type="bibr" rid="B16">Kuss et al. (2007)</xref> investigated culled cows and reported a negative association (r = −0.61; P&lt;0.01) between marbling and the fraction of saturated fats. However, the differences in ages and weights of the animals included in the present study were not sufficient to affect the amount of marbling, as was also noted by <xref ref-type="bibr" rid="B25">Santos et al. (2013)</xref>.</p>
			<p>Unlike what was observed in previous studies (<xref ref-type="bibr" rid="B36">Xie et al., 1996</xref>; <xref ref-type="bibr" rid="B16">Kuss et al., 2007</xref>), oleic acid decreased with increasing slaughter weight and, consequently, with increasing feedlot time. <xref ref-type="bibr" rid="B8">De Smet et al. (2004)</xref> attributed the lower levels of oleic acid in bulls to the effects of sex hormones in enzymatic systems that control the transformation of other fatty acids into oleic acid, such as Δ9-desaturase. This may have happened in our study as well because the heavier animals were closer to puberty. Oleic acid (C18:1 n-9) is considered as a desirable fatty acid in meat for its role in reducing blood cholesterol levels (hypocholesterolemic effect), and its prevalence in meat is primarily associated with the type of diet, feeding time, genetic group, and age of the animal (<xref ref-type="bibr" rid="B8">De Smet et al., 2004</xref>; <xref ref-type="bibr" rid="B28">Smith et al., 2009</xref>; <xref ref-type="bibr" rid="B7">Daley et al., 2010</xref>).</p>
			<p>Among the CLA identified, only C18:2 <italic>trans</italic>-10,<italic>cis</italic>-12 was negatively correlated with slaughter weight. However, the total amount of CLA was too low to confer any benefits to human health. According to <xref ref-type="bibr" rid="B14">Kim et al. (2016)</xref>, <italic>trans</italic>-10,<italic>cis</italic>-12 and <italic>cis</italic>-9,<italic>trans</italic>-11 are the most abundant of all CLA isomers. In their review of the benefits of CLA on human health, they reported that consumption of 3 g per day of CLA has the potential to reduce colorectal cancer (although consumption should be limited to ~6 g CLA, given that there are no studies on the potential harmful effects of excess consumption of this fatty acid). Reductions in oleic acid and CLA <italic>trans</italic>-10,<italic>cis</italic>-12 contributed to the lower levels of unsaturated fat in the meat of the heaviest animals. The increase of unsaturated fatty acid levels in animals with higher slaughter weight (<xref ref-type="bibr" rid="B16">Kuss et al., 2007</xref>) is often associated with increased marbling in meat, but we found that the heaviest animals had lower lipid contents and exhibited little variation in marbling (<xref ref-type="bibr" rid="B25">Santos et al., 2013</xref>), most likely due to the young age of the animals (6-8 months). Moreover, there is the fact that the heavier animals, and thus the older ones, may have been approaching puberty, which might have resulted in a greater deposition of lean tissue and, thus, did not produce the expected increase in meat lipid content.</p>
			<p>Despite the fact that slaughter weight had no effect on the n-3, n-6, and n-6:n-3 ratio of total fatty acids, these values remained below the maximum recommended (4:1) for human consumption (<xref ref-type="bibr" rid="B33">United Kingdom, 1994</xref>). The higher levels of n-3 relative to n-6 fatty acids promote a dietary balance because n-6 fatty acids have been linked to inflammation and tumors, whereas n-3 fatty acids act in the opposite manner (<xref ref-type="bibr" rid="B27">Simopoulos, 2002</xref>).</p>
		</sec>
		<sec sec-type="conclusions">
			<title>Conclusions</title>
			<p>Rising the slaughter weight of Holstein calves from 144 to 260 kg improves the performance of these animals, mainly as a result of a concomitant increase in intake capacity. However, this increase in slaughter weight does not change the fatty acid composition of the meat.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgments</title>
			<p>We thank the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq – Process: 470988/2010-0) and the Fundação Araucária (CP 14-2009 – Protocol 17505) for the financial support to the project. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.</p>
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