1 Ocak 2014 Dergi makalesi Açık Erişim

Peters, S. O.; Kizilkaya, K.; Garrick, D. J.; Fernando, R. L.; Pollak, E. J.; Enns, R. M.; De Donato, M.; Ajayi, O. O.; Imumorin, I. G.

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/63487</identifier>
  <creators>
    <creator>
      <creatorName>Peters, S. O.</creatorName>
      <givenName>S. O.</givenName>
      <familyName>Peters</familyName>
      <affiliation>Berry Coll, Dept Anim Sci, Mt Berry, GA 30149 USA</affiliation>
    </creator>
    <creator>
      <creatorName>Kizilkaya, K.</creatorName>
      <givenName>K.</givenName>
      <familyName>Kizilkaya</familyName>
    </creator>
    <creator>
      <creatorName>Garrick, D. J.</creatorName>
      <givenName>D. J.</givenName>
      <familyName>Garrick</familyName>
      <affiliation>Iowa State Univ, Dept Anim Sci, Ames, IA USA</affiliation>
    </creator>
    <creator>
      <creatorName>Fernando, R. L.</creatorName>
      <givenName>R. L.</givenName>
      <familyName>Fernando</familyName>
      <affiliation>Iowa State Univ, Dept Anim Sci, Ames, IA USA</affiliation>
    </creator>
    <creator>
      <creatorName>Pollak, E. J.</creatorName>
      <givenName>E. J.</givenName>
      <familyName>Pollak</familyName>
      <affiliation>USDA ARS, Roman L Hruska US Meat Anim Res Ctr, Clay Ctr, NE 68933 USA</affiliation>
    </creator>
    <creator>
      <creatorName>Enns, R. M.</creatorName>
      <givenName>R. M.</givenName>
      <familyName>Enns</familyName>
      <affiliation>Colorado State Univ, Dept Anim Sci, Ft Collins, CO 80523 USA</affiliation>
    </creator>
    <creator>
      <creatorName>De Donato, M.</creatorName>
      <givenName>M.</givenName>
      <familyName>De Donato</familyName>
    </creator>
    <creator>
      <creatorName>Ajayi, O. O.</creatorName>
      <givenName>O. O.</givenName>
      <familyName>Ajayi</familyName>
      <affiliation>Cornell Univ, Coll Agr &amp; Life Sci, Anim Genet &amp; Genom Lab, Int Programs, Ithaca, NY 14853 USA</affiliation>
    </creator>
    <creator>
      <creatorName>Imumorin, I. G.</creatorName>
      <givenName>I. G.</givenName>
      <familyName>Imumorin</familyName>
      <affiliation>Cornell Univ, Coll Agr &amp; Life Sci, Anim Genet &amp; Genom Lab, Int Programs, Ithaca, NY 14853 USA</affiliation>
    </creator>
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  <titles>
    <title>Use Of Robust Multivariate Linear Mixed Models For Estimation Of Genetic Parameters For Carcass Traits In Beef Cattle</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2014</publicationYear>
  <dates>
    <date dateType="Issued">2014-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/63487</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1111/jbg.12093</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Assumptions of normality of residuals for carcass evaluation may make inferences vulnerable to the presence of outliers, but heavy-tail densities are viable alternatives to normal distributions and provide robustness against unusual or outlying observations when used to model the densities of residual effects. We compare estimates of genetic parameters by fitting multivariate Normal (MN) or heavy-tail distributions (multivariate Student's t and multivariate Slash, MSt and MS) for residuals in data of hot carcass weight (HCW), longissimus muscle area (REA) and 12th to 13th rib fat (FAT) traits in beef cattle using 2475 records from 2007 to 2008 from a large commercial operation in Nebraska. Model comparisons using deviance information criteria (DIC) favoured MSt over MS and MN models, respectively. The posterior means (and 95% posterior probability intervals, PPI) of v for the MSt and MS models were 5.89 +/- 0.90 (4.35, 7.86) and 2.04 +/- 0.18 (1.70, 2.41), respectively. Smaller values of posterior densities of v for MSt and MS models confirm that the assumption of normally distributed residuals is not adequate for the analysis of the data set. Posterior mean (PM) and posterior median (PD) estimates of direct genetic variances were variable with MSt having the highest mean value followed by MS and MN, respectively. Posterior inferences on genetic variance were, however, comparable among the models for FAT. Posterior inference on additive heritabilities for HCW, REA and FAT using MN, MSt and MS models indicated similar and moderate heritability comparable with the literature. Posterior means of genetic correlations for carcass traits were variable but positive except for between REA and FAT, which showed an antagonistic relationship. We have demonstrated that genetic evaluation and selection strategies will be sensitive to the assumed model for residuals.</description>
  </descriptions>
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