<?xml version="1.0" encoding="UTF-8"?>
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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">AAB</journal-id>
<journal-title-group>
<journal-title>Archives Animal Breeding</journal-title>
<abbrev-journal-title abbrev-type="publisher">AAB</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Arch. Anim. Breed.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2363-9822</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/aab-59-51-2016</article-id><title-group><article-title>The effect of sex, carcass mass, back fat thickness and lean meat content on
pork ham and loin characteristics</article-title>
      </title-group><?xmltex \runningtitle{The effect on pork ham and loin characteristics}?><?xmltex \runningauthor{D.~Knecht and K.~Duzi\'{n}ski}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Knecht</surname><given-names>D.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Duziński</surname><given-names>K.</given-names></name>
          <email>kamil.duzinski@up.wroc.pl</email>
        </contrib>
        <aff id="aff1"><institution>Institute of Animal Breeding, Wrocław University of
Environmental and Life Sciences, Chelmonskiego 38C, 51– 630 Wroclaw,
Poland</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">K. Duziński (kamil.duzinski@up.wroc.pl)</corresp></author-notes><pub-date><day>26</day><month>January</month><year>2016</year></pub-date>
      
      <volume>59</volume>
      <issue>1</issue>
      <fpage>51</fpage><lpage>57</lpage>
      <history>
        <date date-type="received"><day>2</day><month>October</month><year>2015</year></date>
           <date date-type="rev-recd"><day>21</day><month>December</month><year>2015</year></date>
           <date date-type="accepted"><day>18</day><month>January</month><year>2016</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://aab.copernicus.org/articles/59/51/2016/aab-59-51-2016.html">This article is available from https://aab.copernicus.org/articles/59/51/2016/aab-59-51-2016.html</self-uri>
<self-uri xlink:href="https://aab.copernicus.org/articles/59/51/2016/aab-59-51-2016.pdf">The full text article is available as a PDF file from https://aab.copernicus.org/articles/59/51/2016/aab-59-51-2016.pdf</self-uri>


      <abstract>
    <p>This study was designed to determine the ratio of ham and loin in
half-carcasses and the tissue composition of these cuts. The research material consisted
of 140 pig carcasses. The experimental materials were derived from the Polish
commercial population of fattener pigs. Genetic material representing the most commonly slaughtered fatteners in Poland. Fatteners for the study came from
several suppliers. All fatteners were kept in similar farms complying with
principles of animal welfare. The right half-carcasses were divided into
different groups, regardless of sex, half-carcass mass, back fat thickness
and lean meat content class. Ham and loin obtained from carcasses were
subjected to a detailed dissection, and the percentage of ham and loin in
the carcass and the overall percentage of of the cuts in relation to the entire half-carcass were calculated. Gilts were
characterized by a higher content of ham in half-carcasses than barrows
(<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>). The increase in back fat thickness reduced the content of ham
in half-carcasses and increased the content of loin (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>). A similar
trend was shown for the lean meat content class parameter. Additionally,
interaction (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>) between back fat thickness and meat content with
respect to the percentage content of loin in carcasses was noted. Gilts were
characterised by about a 1.38 % higher proportion of muscles in the ham
(<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) and a 0.47 % lower proportion of intermuscular fat (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>). An average increase of five point in back fat thickness increases the amount of subcutaneous fat with skin (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>) and
intermuscular fat (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>) and reduces muscle (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>) and bone (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>) levels. The
interaction of percentage content of muscles in ham was observed
(<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.04</mml:mn></mml:mrow></mml:math></inline-formula>). The meat content class of carcasses did not only affect the
level of bones in ham. It was confirmed that sex affected all the analysed
dissection elements of the loin. Back fat thickness and meat content classes
were present in almost identical amounts in loin tissues (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>). Half-carcass mass showed a strong negative correlation with bone content in ham and loin (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn>0.35</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn>0.21</mml:mn></mml:mrow></mml:math></inline-formula>, respectively). Back fat
thickness and meat content strongly and inversely correlated with the
content of ham and loin in half-carcasses (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn>0.41</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn>0.59</mml:mn></mml:mrow></mml:math></inline-formula> for
back fat thickness; <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn>0.66</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn>0.57</mml:mn></mml:mrow></mml:math></inline-formula> for lean meat content). Close and inverse correlations of back fat thickness and lean meat content were
observed with regard to their content in ham and loin (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Pork is still dominant in world meat consumption and accounts for over 37 % of all consumed meat (McGlone, 2013). Poland is one of the
leading EU countries in terms of pig production and plays an important role
in the pork market, slaughtering about 17 million fatteners per year (European
Commission prospect, 2012). In Europe, pork is most commonly sold in fresh
or chilled form, and the most popular cuts are ham and loin (Verbeke et al.,
2010). The popularity of these elements is affected by a few features. Ham
and loin represent more than 35 % of total slaughter carcass mass and
therefore undoubtedly account for the highest percentage of all cuts. These
two parts are also characterised by a high proportion of lean meat
(Winiarski et al., 2004).</p>
      <p>The optimization of pork production systems requires knowledge of the sources of the classification of the raw material (Marcoux et al., 2007) because the mass, content
of carcass elements and its construction may be mutually dependent
(Mérour and Hermesch, 2008). The technological value of primal cuts
determines their further use, so the search for new factors, measurements
and parameters affecting the use of the carcass for further processing has
practical repercussions and is necessary (Lisiak et al., 2015). The study of the
relations between the basic measurements of the pig carcass and the study of its
processing capacity are two leading topics of current research
(Pulkrábek et al., 2006).</p>
      <p>Carcass assessment in terms of lean meat content and cuts serves both to
evaluate production system efficiency and, on the other hand, to predict
processing potential. The greatest possible amount of information acquired
at the earliest stage of slaughter or directly before it is essential for
pork processors. Such information enables the rapid segregation of raw
materials to the sales markets. Slaughtering, cutting and sales destination
are connected with the size and tissue composition of given primal cuts;
these processes should go hand in hand with maximizing meat processor revenues (Buhr,
2004).</p>
      <p>The economic value of selected cuts from the carcass (mainly ham and loin)
depends on the demand for the final products derived from them, which are
most often sold in unprocessed form (Knecht et al., 2011, 2012;
Chmielowiec-Korzeniowska et al., 2012). The demand for
leaner pork parts is increasing, not only in European countries.
Increasing numbers of new technologies are being developed to determine the
value of ham and loin (van Wijk et al., 2005). The fastest parameters to
measure during slaughter are sex, half-carcass mass, back fat thickness and
lean meat content. Our earlier study showed that the parameters mentioned had
a great impact on the pork belly (Duziński et al., 2015). Therefore, it is
reasonable to conduct research based on key factors that may give
information about the processing value of the carcass, taking into account
the most valuable cuts, especially ham and loin.</p>
      <p>Based on the above problems, the aim of this study was to determine the
proportions of ham and loin in half-carcasses and to determine their tissue composition
based on sex, half-carcass mass, back fat thickness and lean meat content
classes.</p>
</sec>
<sec id="Ch1.S2">
  <title>Materials and methods</title>
      <p>The experimental materials were derived from the Polish commercial population
of fattener pigs. The total research population consisted of 140 pig
carcasses. Genetic material representing the most commonly slaughtered fatteners in
Poland. Fatteners for the study came from several suppliers. All fatteners
were kept in similar farms complying with principles of animal welfare in
accordance with Ordinance of the Minister of Agriculture and Rural
Development (2010). Pigs were transported in special vehicles from a
distance not exceeding 150 km. The animals were slaughtered at a meat plant
located in north–central Poland after a few hours' rest post delivery to the
pig warehouse. The carcasses were bled and separated along the centre line, and the tongue, bristle, hooves, genital organs, perirenal fat,
kidneys, diaphragm, eyes, middle ear, brain and spinal cord were removed. Only raw
material with a post-mortem hot mass between 60 and 120 kg was classified
for further studies.</p>
      <p>After a 24 h cooling period, the right half-carcasses were divided into
groups differentiated according to sex (gilts, barrows), half-carcass mass
(&lt; 42, 42–45, 45–48, &gt; 48 kg), back fat thickness
(&lt; 22, 22–26, &gt; 26 mm) and the lean meat content of
carcass classes: S (&gt; 60 % lean meat content), E (55–60 %), U
(50–55 %), R (45–50 %). Back fat thickness was calculated as an average
from five measurements on a carcass (over the shoulder at the thickest
point; on the back; and at the beginning, centre, and end of the gluteus medius muscle).
Lean meat content in carcasses was defined at the end of the slaughter line
using a Capteur Gras/Maigre – Sydel (CGM) device. Ham and loin cut from all carcasses were subjected to a detailed dissection. Dissections were
performed according to the European Union reference methodology (EC Regulation
no. 1249/2008; Walstra and Merkus, 1996) by specially trained personnel.
The detailed dissection of ham and loin separated the carcass into the following components: cut mass, skin with
subcutaneous fat mass, muscle mass, bone mass, and intermuscular fat mass.
A pair of approved electronic scales were used for weighing ham and loin, and
dissected tissues, with an accuracy to the nearest 1 g. Additionally, the
percentage of ham and loin in the carcass and the percentage of tissues in
the cuts were calculated.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>The percentage content of ham and loin in half-carcasses according
to factors tested.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Factor</oasis:entry>  
         <oasis:entry colname="col2">Class</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula></oasis:entry>  
         <oasis:entry rowsep="1" namest="col4" nameend="col5" align="center">The percentage content in half-carcass (%) </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4">Ham</oasis:entry>  
         <oasis:entry colname="col5">Loin</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Sex</oasis:entry>  
         <oasis:entry colname="col2">Gilts</oasis:entry>  
         <oasis:entry colname="col3">70</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>24.59</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.07</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>19.84</mml:mn><mml:mo>±</mml:mo><mml:mn>1.24</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Barrows</oasis:entry>  
         <oasis:entry colname="col3">70</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>24.17</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.02</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>20.16</mml:mn><mml:mo>±</mml:mo><mml:mn>1.31</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Half-carcass mass</oasis:entry>  
         <oasis:entry colname="col2">&lt; 42 kg</oasis:entry>  
         <oasis:entry colname="col3">39</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>24.24</mml:mn><mml:mo>±</mml:mo><mml:mn>1.15</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>19.78</mml:mn><mml:mo>±</mml:mo><mml:mn>1.28</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">42–45 kg</oasis:entry>  
         <oasis:entry colname="col3">34</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>24.48</mml:mn><mml:mo>±</mml:mo><mml:mn>1.08</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>19.93</mml:mn><mml:mo>±</mml:mo><mml:mn>1.16</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">45–48 kg</oasis:entry>  
         <oasis:entry colname="col3">33</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>24.45</mml:mn><mml:mo>±</mml:mo><mml:mn>0.99</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>20.09</mml:mn><mml:mo>±</mml:mo><mml:mn>1.23</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">&gt; 48 kg</oasis:entry>  
         <oasis:entry colname="col3">34</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>24.43</mml:mn><mml:mo>±</mml:mo><mml:mn>1.03</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>20.32</mml:mn><mml:mo>±</mml:mo><mml:mn>1.35</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Back fat thickness</oasis:entry>  
         <oasis:entry colname="col2">&lt; 22 mm</oasis:entry>  
         <oasis:entry colname="col3">48</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>24.88</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.13</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>19.22</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.06</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">22–26 mm</oasis:entry>  
         <oasis:entry colname="col3">44</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>24.36</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.81</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>19.95</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.08</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">&gt; 26 mm</oasis:entry>  
         <oasis:entry colname="col3">48</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>23.88</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.88</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>20.87</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.13</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Lean meat content</oasis:entry>  
         <oasis:entry colname="col2">S</oasis:entry>  
         <oasis:entry colname="col3">14</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>25.94</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.06</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>18.72</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.89</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">E</oasis:entry>  
         <oasis:entry colname="col3">57</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>24.71</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.81</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>19.65</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.09</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">U</oasis:entry>  
         <oasis:entry colname="col3">53</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>24.11</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.75</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>20.19</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.06</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">R</oasis:entry>  
         <oasis:entry colname="col3">16</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>23.25</mml:mn><mml:mtext>D</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.66</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>21.22</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.09</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>A,B,C,D</mml:mtext></mml:msup></mml:math></inline-formula> Different letters following values of the same factor denote statistically significant differences (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>).</p></table-wrap-foot></table-wrap>

      <p>Numeric values were analysed statistically using the Statistica (2013,
version 10, license no. JGNP410B482810AR-W) data analysis software. The values
set out in the tables determine the arithmetic mean (<inline-formula><mml:math display="inline"><mml:mover accent="true"><mml:mi>x</mml:mi><mml:mo mathvariant="normal">‾</mml:mo></mml:mover></mml:math></inline-formula>)
and standard deviation (SD). The application of the general linear model
(GLM) was preferred because the collected data were checked for normality
and homogeneity of variance. The normality distribution was examined by the
Kolmogorov–Smirnov test, and all variables had <inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> values above 0.1.
The homogeneity of variance was tested by the Brown–Forsythe test, and there was
no basis to reject the zero hypothesis regarding the homogeneity of
variance. To indicate the significance of differences between means, Tukey's
post-hoc test was applied. Pearson correlation coefficients were calculated
to demonstrate the relationship between the factors analysed for the parameters tested. The main-effect statistical model was as follows and also
included interactions:

              <disp-formula id="Ch1.E1" content-type="numbered"><mml:math display="block"><mml:mrow><mml:msub><mml:mi>x</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mi>j</mml:mi><mml:mi>k</mml:mi><mml:mi>l</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mi mathvariant="italic">μ</mml:mi><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi>j</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">γ</mml:mi><mml:mi>k</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">δ</mml:mi><mml:mi>l</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">ε</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mi>j</mml:mi><mml:mi>k</mml:mi><mml:mi>l</mml:mi><mml:mi>m</mml:mi></mml:mrow></mml:msub><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>

        where <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>x</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mi>j</mml:mi><mml:mi>k</mml:mi><mml:mi>l</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> is value of the dependent variable, <inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">μ</mml:mi></mml:math></inline-formula> is the general average, <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the main effect of the <inline-formula><mml:math display="inline"><mml:mi>i</mml:mi></mml:math></inline-formula>th sex (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> (Gilts), 2
(Barrows)), <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi>j</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the main effect of the <inline-formula><mml:math display="inline"><mml:mi>j</mml:mi></mml:math></inline-formula>th half-carcass mass (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>j</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> (&lt; 42 kg), 2 (42–45 kg), 3 (45–48 kg), 4
(&gt; 48 kg)), <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">γ</mml:mi><mml:mi>k</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the main effect of the <inline-formula><mml:math display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula>th back fat thickness (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>k</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>
(&lt; 22 mm), 2 (22–26 mm), 3 (&gt; 26 mm)), <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">δ</mml:mi><mml:mi>l</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> – the main effect of the <inline-formula><mml:math display="inline"><mml:mi>l</mml:mi></mml:math></inline-formula>th lean meat content (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>l</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> (S),
2 (E), 3 (U), 4 (R)), and <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ε</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mi>j</mml:mi><mml:mi>k</mml:mi><mml:mi>l</mml:mi><mml:mi>m</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> is the random experimental error normally distributed
with zero mean and variance <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">σ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>.</p>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
      <p>The percentage content of ham and loin in half-carcasses according to sex,
half-carcass mass, back fat thickness and lean meat content classes is presented in Table 1. Sex had a statistically significant (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>)
effect on the content of ham in half-carcasses. Gilts were characterised by
a higher content of ham in half-carcasses than barrows. However, a higher
proportion of loin in half-carcasses was recorded for barrows, but this
difference was not statistically proven (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>). An increase in
half-carcass mass determined a proportional increase in the content of loin
in half-carcasses. Differences between analysed groups were low and were not
proven statistically (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>). The percentage of ham in
half-carcasses changed disproportionately to the half-carcass mass; the
lowest values were noted for the &lt; 42 kg group and the highest for
42–45 kg. Analysis of the results showed that the back fat thickness
affected the percentage content of ham and loin in half-carcasses. An
inverse relationship was observed between the tested cuts. An increase in
back fat thickness caused a decrease in the content of ham in half-carcasses
for each group (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>). However, a proportional relationship was
observed between the increase in back fat thickness and loin content for each
group (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>). A similar trend was demonstrated for the lean meat
content class parameter. With decreasing lean meat content classes the
percentage of ham in half-carcasses decreased, while the proportion of loin
increased (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>). The highest differences were noted between S and R
and were 2.69 % for ham and 2.5 % for loin. There was also an observed
interaction between back fat thickness and lean meat content class in terms
of the proportion of loin in half-carcasses (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
      <p>The results of ham dissections according to sex, half-carcass mass, back fat
thickness and lean meat content class are presented in Table 2. Sex affected
the tissue composition, i.e. the proportions of muscle and intermuscular fat. Gilts were
characterized by a 1.38 % higher proportion of muscle in the ham (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) and a 0.47 % lower proportion of intermuscular fat (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>) than barrows.
Half-carcass mass had no significant effect on the tissue composition of
ham, and confirmed statistical differences were observed only for the
percentage of bone between the extreme groups &lt; 42 and
&gt; 48 kg (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>). Back fat thickness conditioned all the
analysed tissue composition of ham. Average back fat thickness, when
increased by five points, resulted in an increase in subcutaneous fat with skin
content (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>) and intermuscular fat (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) and a decrease in muscle content (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>) and bones (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>
and <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>). The lean meat content class of carcasses only had no
effect on the content of bones in ham. An increase in this level led to an
increase in the muscle content of ham (about 12.52 %, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>) and a
decrease in skin with subcutaneous fat (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>) and intermuscular fat
(differences were statistically confirmed only between S, E, U, and
R groups; <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p>The percentage level of ham dissection tissues, according to factors tested.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Factor</oasis:entry>  
         <oasis:entry colname="col2">Class</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula></oasis:entry>  
         <oasis:entry rowsep="1" namest="col4" nameend="col7" align="center">The level of dissection tissues (%) </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4">Skin with subcutaneous fat</oasis:entry>  
         <oasis:entry colname="col5">Muscles</oasis:entry>  
         <oasis:entry colname="col6">Bones</oasis:entry>  
         <oasis:entry colname="col7">Intermuscular fat</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Sex</oasis:entry>  
         <oasis:entry colname="col2">Gilts</oasis:entry>  
         <oasis:entry colname="col3">70</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>18.38</mml:mn><mml:mo>±</mml:mo><mml:mn>3.56</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>69.49</mml:mn><mml:mtext>a</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>3.67</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>8.18</mml:mn><mml:mo>±</mml:mo><mml:mn>0.84</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>3.85</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.76</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Barrows</oasis:entry>  
         <oasis:entry colname="col3">70</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>19.53</mml:mn><mml:mo>±</mml:mo><mml:mn>4.14</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>68.11</mml:mn><mml:mtext>b</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>4.28</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>7.95</mml:mn><mml:mo>±</mml:mo><mml:mn>0.83</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>4.32</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.79</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Half-carcass mass</oasis:entry>  
         <oasis:entry colname="col2">&lt; 42 kg</oasis:entry>  
         <oasis:entry colname="col3">39</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>18.94</mml:mn><mml:mo>±</mml:mo><mml:mn>4.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>68.53</mml:mn><mml:mo>±</mml:mo><mml:mn>4.44</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>8.32</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.87</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>4.12</mml:mn><mml:mo>±</mml:mo><mml:mn>0.91</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">42–45 kg</oasis:entry>  
         <oasis:entry colname="col3">34</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>18.75</mml:mn><mml:mo>±</mml:mo><mml:mn>3.74</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>69.05</mml:mn><mml:mo>±</mml:mo><mml:mn>3.91</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>7.99</mml:mn><mml:mo>±</mml:mo><mml:mn>0.77</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>4.09</mml:mn><mml:mo>±</mml:mo><mml:mn>0.75</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">45–48 kg</oasis:entry>  
         <oasis:entry colname="col3">33</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>18.37</mml:mn><mml:mo>±</mml:mo><mml:mn>3.49</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>69.48</mml:mn><mml:mo>±</mml:mo><mml:mn>3.87</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>8.04</mml:mn><mml:mo>±</mml:mo><mml:mn>0.84</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>4.05</mml:mn><mml:mo>±</mml:mo><mml:mn>0.73</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">&gt; 48 kg</oasis:entry>  
         <oasis:entry colname="col3">34</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>19.95</mml:mn><mml:mo>±</mml:mo><mml:mn>3.93</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>68.12</mml:mn><mml:mo>±</mml:mo><mml:mn>3.81</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>7.76</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.81</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>4.07</mml:mn><mml:mo>±</mml:mo><mml:mn>0.85</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Back fat thickness</oasis:entry>  
         <oasis:entry colname="col2">&lt; 22 mm</oasis:entry>  
         <oasis:entry colname="col3">48</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>16.00</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>2.99</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>71.57</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>3.14</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>8.43</mml:mn><mml:mtext>C,c</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.79</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>3.87</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.68</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">22–26 mm</oasis:entry>  
         <oasis:entry colname="col3">44</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>18.88</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>2.24</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>68.91</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>2.48</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>8.06</mml:mn><mml:mtext>b</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.78</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>4.06</mml:mn><mml:mo>±</mml:mo><mml:mn>0.72</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">&gt; 26 mm</oasis:entry>  
         <oasis:entry colname="col3">48</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>22.17</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>3.05</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>65.74</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>3.92</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>7.67</mml:mn><mml:mtext>A,a</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.78</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>4.34</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.95</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Lean meat content</oasis:entry>  
         <oasis:entry colname="col2">S</oasis:entry>  
         <oasis:entry colname="col3">14</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>12.81</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.54</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>75.11</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.34</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>8.00</mml:mn><mml:mo>±</mml:mo><mml:mn>0.95</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>3.94</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.61</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">E</oasis:entry>  
         <oasis:entry colname="col3">57</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>16.79</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.59</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>71.08</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.46</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>8.18</mml:mn><mml:mo>±</mml:mo><mml:mn>0.83</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>3.85</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.75</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">U</oasis:entry>  
         <oasis:entry colname="col3">53</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>20.41</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.73</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>67.33</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.79</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>8.08</mml:mn><mml:mo>±</mml:mo><mml:mn>0.87</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>4.11</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.72</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">R</oasis:entry>  
         <oasis:entry colname="col3">16</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>24.82</mml:mn><mml:mtext>D</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>2.45</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>62.59</mml:mn><mml:mtext>D</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>2.65</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>7.81</mml:mn><mml:mo>±</mml:mo><mml:mn>0.72</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>4.69</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>0.76</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>A,B,C,D</mml:mtext></mml:msup></mml:math></inline-formula> Different letters following values of the same factor
denote statistically significant differences <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>;
<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a,b,c</mml:mtext></mml:msup></mml:math></inline-formula> different letters following values of the same factor
denote statistically significant differences <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula></p></table-wrap-foot></table-wrap>

      <p>Statistical analysis of the data showed an interaction between sex and lean meat content class with regard to the percentage content of muscles in ham with the percentage
content of muscles in ham (Fig. 1). The interaction <inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> value for the muscle
parameter was <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.04</mml:mn></mml:mrow></mml:math></inline-formula>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p>The percentage content of muscles in ham according to sex.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://aab.copernicus.org/articles/59/51/2016/aab-59-51-2016-f01.pdf"/>

      </fig>

      <p>The tissue composition of dissected loins including sex, half-carcass mass,
back fat thickness and lean meat content class is presented in Table 3. It
has been shown that sex affected all the analysed dissection tissues. Loin
collected from gilt carcasses had a higher content of muscles (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>)
and bones (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>) and a lower level of intermuscular fat (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>) and skin with subcutaneous fat (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) than that of gilts. Half-carcass mass did
not affect loin tissue composition, in contrast to back fat thickness and
lean meat content class. Increasing carcass fatness was reflected in an
increasing content of skin with subcutaneous fat and in an undetermined growth
of intermuscular fat (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>, respectively) and a
decrease in muscle and bone content (both <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>). The same trend observed in the case of back fat thickness was found for lean meat content
classes; however, all differences between groups were proven at a
statistically higher level (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T3" specific-use="star"><caption><p>The percentage content of loin dissection tissues, according to factors tested.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Factor</oasis:entry>  
         <oasis:entry colname="col2">Class</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula></oasis:entry>  
         <oasis:entry rowsep="1" namest="col4" nameend="col7" align="center">The content of dissection tissues (%) </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4">Skin with subcutaneous fat</oasis:entry>  
         <oasis:entry colname="col5">Muscles</oasis:entry>  
         <oasis:entry colname="col6">Bones</oasis:entry>  
         <oasis:entry colname="col7">Intermuscular fat</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Sex</oasis:entry>  
         <oasis:entry colname="col2">Gilts</oasis:entry>  
         <oasis:entry colname="col3">70</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>27.95</mml:mn><mml:mtext>a</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>5.75</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>54.09</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>5.73</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>10.36</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.35</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>7.37</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.77</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Barrows</oasis:entry>  
         <oasis:entry colname="col3">70</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>30.01</mml:mn><mml:mtext>b</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>5.87</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>51.25</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>6.05</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>9.69</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.39</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>8.82</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.89</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Half-carcass mass</oasis:entry>  
         <oasis:entry colname="col2">&lt; 42 kg</oasis:entry>  
         <oasis:entry colname="col3">39</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>29.22</mml:mn><mml:mo>±</mml:mo><mml:mn>6.47</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>52.14</mml:mn><mml:mo>±</mml:mo><mml:mn>6.67</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>10.33</mml:mn><mml:mo>±</mml:mo><mml:mn>1.42</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>8.05</mml:mn><mml:mo>±</mml:mo><mml:mn>2.11</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">42–45 kg</oasis:entry>  
         <oasis:entry colname="col3">34</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>28.85</mml:mn><mml:mo>±</mml:mo><mml:mn>5.25</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>52.99</mml:mn><mml:mo>±</mml:mo><mml:mn>5.09</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>10.13</mml:mn><mml:mo>±</mml:mo><mml:mn>1.31</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>7.81</mml:mn><mml:mo>±</mml:mo><mml:mn>1.62</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">45–48 kg</oasis:entry>  
         <oasis:entry colname="col3">33</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>28.07</mml:mn><mml:mo>±</mml:mo><mml:mn>5.44</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>53.54</mml:mn><mml:mo>±</mml:mo><mml:mn>6.13</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>9.68</mml:mn><mml:mo>±</mml:mo><mml:mn>1.34</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>8.55</mml:mn><mml:mo>±</mml:mo><mml:mn>1.93</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">&gt; 48 kg</oasis:entry>  
         <oasis:entry colname="col3">34</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>29.87</mml:mn><mml:mo>±</mml:mo><mml:mn>6.21</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>52.09</mml:mn><mml:mo>±</mml:mo><mml:mn>6.05</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>9.82</mml:mn><mml:mo>±</mml:mo><mml:mn>1.58</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>7.99</mml:mn><mml:mo>±</mml:mo><mml:mn>2.14</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Back fat thickness</oasis:entry>  
         <oasis:entry colname="col2">&lt; 22 mm</oasis:entry>  
         <oasis:entry colname="col3">48</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>24.56</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>4.42</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>56.86</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>5.15</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>10.95</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.32</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>7.41</mml:mn><mml:mtext>a</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.74</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">22–26 mm</oasis:entry>  
         <oasis:entry colname="col3">44</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>28.94</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>3.43</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>52.87</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>3.57</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>9.85</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.17</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>8.13</mml:mn><mml:mo>±</mml:mo><mml:mn>1.61</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">&gt; 26 mm</oasis:entry>  
         <oasis:entry colname="col3">48</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>33.75</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>5.38</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>47.99</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>5.45</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>9.21</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.12</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>8.79</mml:mn><mml:mtext>b</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>2.25</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Lean meat content</oasis:entry>  
         <oasis:entry colname="col2">S</oasis:entry>  
         <oasis:entry colname="col3">14</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>19.61</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>2.34</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>63.01</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>3.24</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>10.94</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.87</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>6.23</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.43</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">E</oasis:entry>  
         <oasis:entry colname="col3">57</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>25.89</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>2.21</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>57.89</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>2.01</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>10.46</mml:mn><mml:mtext>B,C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>7.54</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.53</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">U</oasis:entry>  
         <oasis:entry colname="col3">53</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>31.12</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>3.48</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>52.31</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>2.69</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>9.85</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.23</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>8.49</mml:mn><mml:mtext>B</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.99</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">R</oasis:entry>  
         <oasis:entry colname="col3">16</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>37.59</mml:mn><mml:mtext>D</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>3.29</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>47.65</mml:mn><mml:mtext>D</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>3.01</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>8.79</mml:mn><mml:mtext>A</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.88</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>9.73</mml:mn><mml:mtext>C</mml:mtext></mml:msup><mml:mo>±</mml:mo><mml:mn>1.67</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>A,B,C,D</mml:mtext></mml:msup></mml:math></inline-formula> Different letters following values of the same factor
denote statistically significant differences <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>;
<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a,b</mml:mtext></mml:msup></mml:math></inline-formula> different letters following values of the same factor
denote statistically significant differences <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>. </p></table-wrap-foot></table-wrap>

      <p>Correlations between the half-carcass mass, back fat thickness and lean meat
content for the studied parameters are presented in Table 4. For the
half-carcass mass only the confirmed correlations for the proportion of bone
in ham (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>) and loin (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) were observed. Back fat thickness
and lean meat content are highly correlated with all tested parameters
(<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>), except for the level of bones in ham. However, the mathematical
signs between identical parameters were the opposite of one another, and higher values were
adopted for lean meat content.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T4" specific-use="star"><caption><p>The Pearson's correlation between the half-carcass mass, back fat
thickness and lean meat content for the studied parameters.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Item</oasis:entry>  
         <oasis:entry colname="col2">Half-carcass mass</oasis:entry>  
         <oasis:entry colname="col3">Back fat thickness</oasis:entry>  
         <oasis:entry colname="col4">Lean meat content</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Ham</oasis:entry>  
         <oasis:entry colname="col2">0.09</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:msup><mml:mn>0.41</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.66<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Loin</oasis:entry>  
         <oasis:entry colname="col2">0.16</oasis:entry>  
         <oasis:entry colname="col3">0.59<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:msup><mml:mn>0.57</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry namest="col1" nameend="col4">The content in ham: </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Skin with subcutaneous fat</oasis:entry>  
         <oasis:entry colname="col2">0.05</oasis:entry>  
         <oasis:entry colname="col3">0.81<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:msup><mml:mn>0.94</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Muscles</oasis:entry>  
         <oasis:entry colname="col2">0.03</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:msup><mml:mn>0.74</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>0.96</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Bones</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:msup><mml:mn>0.35</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:msup><mml:mn>0.44</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.09</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Intermuscular fat</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn>0.04</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>0.28</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:msup><mml:mn>0.37</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry namest="col1" nameend="col4">The content in loin: </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Skin with subcutaneous fat</oasis:entry>  
         <oasis:entry colname="col2">0.02</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>0.78</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:msup><mml:mn>0.92</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Muscles</oasis:entry>  
         <oasis:entry colname="col2">0.04</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:msup><mml:mn>0.75</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>0.96</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Bones</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:msup><mml:mn>0.21</mml:mn><mml:mo>*</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:msup><mml:mn>0.63</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>0.46</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Intermuscular fat</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>0.43</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:msup><mml:mn>0.54</mml:mn><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula> Correlation statistically significant, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>;
<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>*</mml:mo><mml:mo>*</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> correlation statistically significant, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>.</p></table-wrap-foot></table-wrap>

</sec>
<sec id="Ch1.S4">
  <title>Discussion</title>
      <p>The problem of estimating the range and proportions of cuts in the carcass
and tissue composition is still valid and not fully resolved. Our results
indicate that the factors investigated shaped the percentage of ham and
loin in the carcass and their tissue composition.</p>
      <p>Studying the quality of the ham, Peloso et al. (2010) took into account the
genotype, sex and slaughter weight as differentiating factors. It turned out
that sex conditioned the size of the cut and its internal fat thickness,
which is consistent with our results. Similar observations were made by
Lattore et al. (2004), who demonstrated and statistically confirmed both a
higher proportion of subcutaneous fat in ham for barrows and the content of
ham in the gilt carcasses.</p>
      <p>Half-carcass mass had no significant effect on any parameters. However, a
lot of research has been conducted on carcass traits at different slaughter
weights (Beattie et al., 1999; Latorre et al., 2004; Correa et al., 2006;
Serrano et al., 2008), which confirms the influence of this factor. A
shorter duration of organism growth determines the changes in the
proportions of carcass tissue composition, especially the content of muscle
(Lefaucheur et al., 1991; Skiba et al., 2012; Nuernberg et al., 2015). The
explanation for these observations may be the overly small half-carcass mass
variation within groups.</p>
      <p>The effect of half-carcass mass on the tissue composition of the cut is
ambiguous. Greater adiposity for ham at lower slaughter weights, for example, has been demonstrated (Peloso et al., 2010). On the other hand, a marked
increase in gluteus medius muscle adiposity with increasing slaughter weight has also been
observed. However, clear changes may be observed only in certain mass
ranges, for example over 110 kg (Lattore et al., 2004). It has already been
proved that an increase in half-carcass mass determines the increase in the
mass of cuts (Unruh et al., 1996). Lattore et al. (2004) estimated that even
if the mass of ham increases by about 1.6 kg, there will be an increase in
slaughter weight of 10 kg. For the Polish population of finishers, Zybert et al. (2005) showed that an increase in hot slaughter weight of 5 kg
caused a two-fold increase in the content of the total mass of meat in the
carcass (about 1.6 kg). The optimization of half-carcass mass towards high
muscle and low fat levels and in respect to the size of the cuts is a
complex issue (Zybert et al., 2005).</p>
      <p>Data concerning the percentage content of ham and loin according to the
back fat thickness and lean meat content class are very interesting. A
directly proportional relationship between the content of loin and back fat
thickness and an inversely proportional relationship with the lean meat
content class is often not noted. The above observations should be explained
by the dissection and division of the cut characteristics. The loin as a
dissection cut constitutes whole tissues, which include skin with
subcutaneous fat, muscles, bones and intermuscular fat. The increasing total
mass of the cut was affected by a higher increase in the proportion of skin
with subcutaneous fat mass and intermuscular fat mass for higher back fat
thickness, with a far smaller increase in longissimus dorsi muscle for a lower back fat
thickness. On the other hand, ham is a primal cut in which muscles play a very great role (a component of the four main elements of further
industrial cutting: thick flank, topside, silverside, hip muscle); thus, the
total mass of ham is mainly determined by the muscles. The increase in fat
thickness for ham therefore has no significant effect on the increase in the
mass of the cut. Zybert et al. (2005) demonstrated that the degree of muscle
affects the growth of the quantitative mass of meat and its content in the
total half-carcass. Such a thesis is supported by the study
conducted by Lawlor et al. (2013), who found negative correlations between the
percentage content of ham and loin in pig carcasses. These authors indicated
that an increase in one element determined the decrease in the second. Based
on the above thesis, correlations observed in our study were additionally
enhanced by negative correlation between cuts, hence the high contradictory
results obtained for back fat thickness and lean meat content.</p>
      <p>The consequence of increasing the content of meat in the carcass was the
reduction in taste by reducing the content of fats (Nguyen et al., 2004).
During dissection, two types of fat were separated: the first is the skin
with subcutaneous fat, and the other is intermuscular fat. Subcutaneous fat is
easy to trim off from the different parts of the carcass, which means that this is not a problem
during the preparation of cuts for sale. More problematic is the
intermuscular fat because it forms a stable connection between elements
consisting of several muscles. Intermuscular fat content has a significant
impact on consumer acceptance of products such as pork chops and ham slices
(Kouba and Bonneau, 2009). Statistical analysis showed that sex, back fat
thickness and lean meat content shape the level of this parameter. The correlations presented further indicated that intermuscular fat of the loin
was more susceptible to change than ham.</p>
      <p>The content of muscle in ham, confirmed by the interaction of lean meat
content class and sex, may be explained by the higher deposition of fat
for boars than gilts, which occurs for the purpose of more prolonged
fattening (Freeden, 1980; Correa et al., 2008). Increases in muscle tissue
during fattening are associated with the deposition of protein and fat in the
body (Schnickel, 2001). The value of cuts in large part determines the
meat and fat content. Our study confirmed that the back fat thickness and
lean meat content classes are strongly linked, particularly in terms of the
characteristics of ham and loin. The presentation of both back fat thickness and
lean meat content classes aimed to answer whether it is possible to
omit one of them without losing valuable information on the surveyed cuts.
The similar results recorded and statistical differences suggest that such
substitution is possible. The measurement of back fat thickness is more time
consuming and requires a greater commitment. Lean meat content assessment is
almost mandatory, so in our opinion such an approach to measurement, i.e.
the omission of one content class, is justified without a loss of accuracy in the estimated parameter, given the fact that the two classes conform
to one another. Confirmation of this inference may be found in a comparison of
the results of the correlation of back fat thickness with lean meat content.
Information on the overall lean meat content of the carcass is scarce.
However, comparing this parameter with other factors, can give reliable
data describing carcass processing capacity in relation to ham and loin.</p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <title>Conclusions</title>
      <p>The most important factors influencing the percentage and tissue
composition of ham and loin were sex, back fat thickness and lean meat
content class. Sex shaped the percentage of ham in the carcass and muscles
and the tissue composition of loin. Back fat thickness affected the
percentage of ham and loin in the carcass and the whole-tissue
composition, as well as the lean meat content class (an exception is the
content of bones in ham). Half-carcass mass is not a particularly good indicator of the size and tissue composition of ham and loin. Our results are
a valuable source of information for pork processors because they allow a preliminary estimation of the production capacity of a meat plant.</p>
</sec>

      
      </body>
    <back><ack><title>Acknowledgements</title><p>This study was financed from statutory activity. The authors wish to thank
K. Bernhardt for revising the English version of the manuscript.
<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: S. Maak<?xmltex \hack{\newline}?>
Reviewed by: two anonymous referees</p></ack><ref-list>
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    </app></app-group></back>
    <!--<article-title-html>The effect of sex, carcass mass, back fat thickness and lean meat content on
pork ham and loin characteristics</article-title-html>
<abstract-html><p class="p">This study was designed to determine the ratio of ham and loin in
half-carcasses and the tissue composition of these cuts. The research material consisted
of 140 pig carcasses. The experimental materials were derived from the Polish
commercial population of fattener pigs. Genetic material representing the most commonly slaughtered fatteners in Poland. Fatteners for the study came from
several suppliers. All fatteners were kept in similar farms complying with
principles of animal welfare. The right half-carcasses were divided into
different groups, regardless of sex, half-carcass mass, back fat thickness
and lean meat content class. Ham and loin obtained from carcasses were
subjected to a detailed dissection, and the percentage of ham and loin in
the carcass and the overall percentage of of the cuts in relation to the entire half-carcass were calculated. Gilts were
characterized by a higher content of ham in half-carcasses than barrows
(<i>P</i> ≤ 0.01). The increase in back fat thickness reduced the content of ham
in half-carcasses and increased the content of loin (<i>P</i> ≤ 0.01). A similar
trend was shown for the lean meat content class parameter. Additionally,
interaction (<i>P</i> ≤ 0.01) between back fat thickness and meat content with
respect to the percentage content of loin in carcasses was noted. Gilts were
characterised by about a 1.38 % higher proportion of muscles in the ham
(<i>P</i> ≤ 0.05) and a 0.47 % lower proportion of intermuscular fat (<i>P</i> ≤ 0.01). An average increase of five point in back fat thickness increases the amount of subcutaneous fat with skin (<i>P</i> ≤ 0.01) and
intermuscular fat (<i>P</i> ≤ 0.01) and reduces muscle (<i>P</i> ≤ 0.01) and bone (<i>P</i> ≤ 0.05 and <i>P</i> ≤ 0.01) levels. The
interaction of percentage content of muscles in ham was observed
(<i>P</i> = 0.04). The meat content class of carcasses did not only affect the
level of bones in ham. It was confirmed that sex affected all the analysed
dissection elements of the loin. Back fat thickness and meat content classes
were present in almost identical amounts in loin tissues (<i>P</i> ≤ 0.05 and
<i>P</i> ≤ 0.01). Half-carcass mass showed a strong negative correlation with bone content in ham and loin (<i>r</i> = −0.35 and <i>r</i> = −0.21, respectively). Back fat
thickness and meat content strongly and inversely correlated with the
content of ham and loin in half-carcasses (<i>r</i> = −0.41 and <i>r</i> = 0.59 for
back fat thickness; <i>r</i> = 0.66 and <i>r</i> = −0.57 for lean meat content). Close and inverse correlations of back fat thickness and lean meat content were
observed with regard to their content in ham and loin (<i>P</i> ≤ 0.01).</p></abstract-html>
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