<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0120-1751</journal-id>
<journal-title><![CDATA[Revista Colombiana de Estadística]]></journal-title>
<abbrev-journal-title><![CDATA[Rev.Colomb.Estad.]]></abbrev-journal-title>
<issn>0120-1751</issn>
<publisher>
<publisher-name><![CDATA[Departamento de Estadística - Universidad Nacional de Colombia.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0120-17512012000200008</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Random Regression Models for Estimation of Covariance Functions, Genetic Parameters and Prediction of Breeding Values for Rib Eye Area in a Colombian Bos indicus-Bos taurus Multibreed Cattle Population]]></article-title>
<article-title xml:lang="es"><![CDATA[Modelos de regresión aleatoria para la estimación de funciones de covarianza, parámetros genéticos y predicción de valores genéticos en una población bovina multirracial Bos indicus-Bos taurus en Colombia]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[MARTÍNEZ]]></surname>
<given-names><![CDATA[CARLOS ALBERTO]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[ELZO]]></surname>
<given-names><![CDATA[MAURICIO]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[MANRIQUE]]></surname>
<given-names><![CDATA[CARLOS]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[GRAJALES]]></surname>
<given-names><![CDATA[LUIS FERNANDO]]></given-names>
</name>
<xref ref-type="aff" rid="A04"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[JIMÉNEZ]]></surname>
<given-names><![CDATA[ARIEL]]></given-names>
</name>
<xref ref-type="aff" rid="A05"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidad Nacional de Colombia Departamento de Producción Animal Grupo de Estudio en Mejoramiento y Modelación Animal GEMA]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="A02">
<institution><![CDATA[,University of Florida Department Animal Sciences ]]></institution>
<addr-line><![CDATA[Florida ]]></addr-line>
<country>United States</country>
</aff>
<aff id="A03">
<institution><![CDATA[,Universidad Nacional de Colombia Departamento de Producción Animal Grupo de Estudio en Mejoramiento y Modelación Animal GEMA]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="A04">
<institution><![CDATA[,Universidad Nacional de Colombia Facultad de Ciencias Departamento de Estadística]]></institution>
<addr-line><![CDATA[Bogota ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="A05">
<institution><![CDATA[,Universidad Nacional de Colombia Departamento de Producción Animal Grupo de Estudio en Mejoramiento y Modelación Animal GEMA]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>20</day>
<month>06</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="epub">
<day>20</day>
<month>06</month>
<year>2012</year>
</pub-date>
<volume>35</volume>
<numero>spe2</numero>
<fpage>309</fpage>
<lpage>330</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-17512012000200008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-17512012000200008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-17512012000200008&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[In this paper we present an application of random regression models (RRM) to obtain restricted maximum likelihood estimates of covariance functions and predictions of breeding values for longitudinal records of rib eye area measured by ultrasound (REA) in a Colombian multibreed cattle population. The dataset contained 708 records from 340 calves progeny of 37 sires from nine breeds mated to Gray Brahman Cows. The mixed model was a RRM that used Legendre polynomials (LP) of order 1 to 3. Fixed effects were age of animal, dam parity, contemporary group (herd*year*season*sex), breed additive genetic and heterosis, whereas direct and maternal additive genetic and maternal permanent environment were random effects. Residual variances were modeled either as constant or changing across the growth trajectory. Models were compared with two Information Criteria, the corrected Akaikes and the Schwartzs Bayesian. According to these criteria the best model was the one with first order LP and constant residual variance. Given that with this model estimated maternal additive genetic and permanent environment covariance functions showed that these effects were not accurately disentangled, a parsimonious model without maternal additive genetic effects was used to obtain genetic parameters and breeding values. Direct additive genetic variance decreased until 150 days and then increased. Maternal permanent environment variance increased with age. Direct heritability estimates for REA at 4 months, weaning, 12 and 15 months (considered as target ages), were 0.003, 0.007, 0.034 and 0.058, respectively. Direct additive correlations ranged from -0.7 to 1. Maternal permanent environmental correlations were close to unity across the entire range of ages. Estimates of (co)variance components showed the need to validate results with larger multigenerational multibreed populations before implement RRM in regional or national genetic evaluation procedures in Colombia.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[En este trabajo presentamos una aplicación de modelos de regresión aleatoria (RRM) para obtener estimadores de máxima verosimilitud restringida de funciones de covarianza y predicciones del valor genético para datos longitudinales de área de ojo del lomo medidos por ultrasonido (REA) en una población bovina multirracial en Colombia. El conjunto de datos contenía 708 registros de 340 animales descendientes de 37 toros de 9 razas apareados con hembras Brahman Gris. Los modelos mixtos empleados fueron RRM que usaron polinomios de Legendre (LP) de orden 1 a 3. Los efectos fijos fueron edad del animal, número de partos de la madre, grupo contemporáneo (hacienda*año*época*sexo), efectos genéticos aditivos de raza y heterosis, mientras que los efectos genéticos aditivos directos y maternos y de ambiente permanente materno fueron aleatorios. Las varianzas residuales se modelaron como constantes o cambiantes a través de la trayectoria de crecimiento. Los modelos fueron comparados mediante el criterio de información de Akaike corregido y el de información bayesiana de Schwartz. Según esos criterios, el mejor modelo fue aquel con LP de orden 1 y varianza residual constante. Dado que con este modelo las estimaciones de las funciones de covarianza genética aditiva materna y de ambiente permanente materno indicaron que estos dos efectos no se separaron adecuadamente, un modelo más parsimonioso sin los efectos genéticos aditivos maternos fue empleado para obtener parámetros y valores genéticos. La varianza genética aditiva directa decreció hasta 150 días y luego aumentó. La varianza de ambiente permanente materno aumentó con la edad. Las estimaciones de heredabilidad directa para REA a los 4 meses, destete, 12 y 15 meses (consideradas como edades de referencia) fueron 0.003, 0.007, 0.034 y 0.058, respectivamente. Las correlaciones aditivas directas variaron de -0.7 a 1. Las correlaciones de ambiente permanente materno fueron cercanas a la unidad a través de todo el rango de edades. Las estimaciones de componentes de (co)varianza mostraron la necesidad de validar los resultados con poblaciones multirraciales multigeneracionales mayores antes de implementar RRM en procedimientos de evaluación genética regionales o nacionales en Colombia.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Animal population]]></kwd>
<kwd lng="en"><![CDATA[Covariance functions]]></kwd>
<kwd lng="en"><![CDATA[Mixed model]]></kwd>
<kwd lng="es"><![CDATA[modelo mixto]]></kwd>
<kwd lng="es"><![CDATA[funciones de covarianza]]></kwd>
<kwd lng="es"><![CDATA[población animal]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[  <font size="2" face="verdana">      <p> <b> <font size="4">     <center> Random Regression Models for Estimation of Covariance Functions, Genetic Parameters and Prediction of Breeding Values for Rib Eye Area in a Colombian <i>Bos indicus-Bos taurus</i> Multibreed Cattle Population </center> </font> </b> </p>      <p> <b> <font size="3">     <center> Modelos de regresi&oacute;n aleatoria para la estimaci&oacute;n de funciones de covarianza, par&aacute;metros gen&eacute;ticos y predicci&oacute;n de valores gen&eacute;ticos en una poblaci&oacute;n bovina multirracial <i>Bos indicus-Bos taurus</i> en Colombia </center> </font> </b> </p>      <p>     <center> CARLOS ALBERTO MART&Iacute;NEZ<sup>1</sup>,  MAURICIO ELZO<sup>2</sup>,  CARLOS MANRIQUE<sup>3</sup>,  LUIS FERNANDO GRAJALES<sup>4</sup>,  ARIEL JIM&Eacute;NEZ<sup>5</sup> </center> </p>      <p> <sup>1</sup>Universidad Nacional de Colombia, Departamento de Producci&oacute;n Animal, Grupo de Estudio en Mejoramiento y Modelaci&oacute;n Animal GEMA, Bogot&aacute;, Colombia. University of Florida, Department Animal Sciences, Florida, United States. MSc in Quantitative Genetics. Email: <a href="mailto:camartinezn@unal.edu.co">camartinezn@unal.edu.co</a>     <br>  <sup>2</sup>University of Florida, Department Animal Sciences, Florida, United States. Professor. Email: <a href="mailto:maelzo@ufl.edu">maelzo@ufl.edu</a>     <br>  <sup>3</sup>Universidad Nacional de Colombia, Departamento de Producci&oacute;n Animal, Grupo de Estudio en Mejoramiento y Modelaci&oacute;n Animal GEMA, Bogot&aacute;, Colombia. Professor. Email: <a href="mailto:cmanriquep@unal.edu.co">cmanriquep@unal.edu.co</a>     ]]></body>
<body><![CDATA[<br>  <sup>4</sup>Universidad Nacional de Colombia, Facultad de Ciencias, Departamento de Estad&iacute;stica, Bogota, Colombia. Assistant professor. Email: <a href="mailto:lfgrajalesh@unal.edu.co">lfgrajalesh@unal.edu.co</a>     <br>  <sup>5</sup>Universidad Nacional de Colombia, Departamento de Producci&oacute;n Animal, Grupo de Estudio en Mejoramiento y Modelaci&oacute;n Animal GEMA, Bogot&aacute;, Colombia. Asociaci&oacute;n Colombiana de Criadores de Ganado Cebu ASOCEBU, Bogota, Colombia. MSc in Quantitative Genetics. Email: <a href="mailto:jimenezariel@hotmail.com">jimenezariel@hotmail.com</a>     <br> </p>  <hr size="1">      <p> <b>     <center> Abstract </center> </b> </p>      <p> In this paper we present an application of random regression models (RRM) to obtain restricted maximum likelihood estimates of covariance functions and predictions of breeding values for longitudinal records of rib eye area measured by ultrasound (REA) in a Colombian multibreed cattle population. The dataset contained 708 records from 340 calves progeny of 37 sires from nine breeds mated to Gray Brahman Cows. The mixed model was a RRM that used Legendre polynomials (LP) of order 1 to 3. Fixed effects were age of animal, dam parity, contemporary group (herd*year*season*sex), breed additive genetic and heterosis, whereas direct and maternal additive genetic and maternal permanent environment were random effects. Residual variances were modeled either as constant or changing across the growth trajectory. Models were compared with two Information Criteria, the corrected Akaikes and the Schwartzs Bayesian. According to these criteria the best model was the one with first order LP and constant residual variance. Given that with this model estimated maternal additive genetic and permanent environment covariance functions showed that these effects were not accurately disentangled, a parsimonious model without maternal additive genetic effects was used to obtain genetic parameters and breeding values. Direct additive genetic variance decreased until 150 days and then increased. Maternal permanent environment variance increased with age. Direct heritability estimates for REA at 4 months, weaning, 12 and 15 months (considered as target ages), were 0.003, 0.007, 0.034 and 0.058, respectively. Direct additive correlations ranged from -0.7 to 1. Maternal permanent environmental correlations were close to unity across the entire range of ages. Estimates of (co)variance components showed the need to validate results with larger multigenerational multibreed populations before implement RRM in regional or national genetic evaluation procedures in Colombia. </p>      <p> <b> Key words: </b> Animal population, Covariance functions, Mixed model. </p>  <hr size="1">      <p> <b>     <center> Resumen </center> </b> </p>      <p> En este trabajo presentamos una aplicaci&oacute;n de modelos de regresi&oacute;n aleatoria (RRM) para obtener estimadores de m&aacute;xima verosimilitud restringida de funciones de covarianza y predicciones del valor gen&eacute;tico para datos longitudinales de &aacute;rea de ojo del lomo medidos por ultrasonido (REA) en una poblaci&oacute;n bovina multirracial en Colombia. El conjunto de datos conten&iacute;a 708 registros de 340 animales descendientes de 37 toros de 9 razas apareados con hembras Brahman Gris. Los modelos mixtos empleados fueron RRM que usaron polinomios de Legendre (LP) de orden 1 a 3. Los efectos fijos fueron edad del animal, n&uacute;mero de partos de la madre, grupo contempor&aacute;neo (hacienda*a&ntilde;o*&eacute;poca*sexo), efectos gen&eacute;ticos aditivos de raza y heterosis, mientras que los efectos gen&eacute;ticos aditivos directos y maternos y de ambiente permanente materno fueron aleatorios. Las varianzas residuales se modelaron como constantes o cambiantes a trav&eacute;s de la trayectoria de crecimiento. Los modelos fueron comparados mediante el criterio de informaci&oacute;n de Akaike corregido y el de informaci&oacute;n bayesiana de Schwartz. Seg&uacute;n esos criterios, el mejor modelo fue aquel con LP de orden 1 y varianza residual constante. Dado que con este modelo las estimaciones de las funciones de covarianza gen&eacute;tica aditiva materna y de ambiente permanente materno indicaron que estos dos efectos no se separaron adecuadamente, un modelo m&aacute;s parsimonioso sin los efectos gen&eacute;ticos aditivos maternos fue empleado para obtener par&aacute;metros y valores gen&eacute;ticos. La varianza gen&eacute;tica aditiva directa decreci&oacute; hasta 150 d&iacute;as y luego aument&oacute;. La varianza de ambiente permanente materno aument&oacute; con la edad. Las estimaciones de heredabilidad directa para REA a los 4 meses, destete, 12 y 15 meses (consideradas como edades de referencia) fueron 0.003, 0.007, 0.034 y 0.058, respectivamente. Las correlaciones aditivas directas variaron de -0.7 a 1. Las correlaciones de ambiente permanente materno fueron cercanas a la unidad a trav&eacute;s de todo el rango de edades. Las estimaciones de componentes de (co)varianza mostraron la necesidad de validar los resultados con poblaciones multirraciales multigeneracionales mayores antes de implementar RRM en procedimientos de evaluaci&oacute;n gen&eacute;tica regionales o nacionales en Colombia. </p>      ]]></body>
<body><![CDATA[<p> <b> Palabras clave: </b> modelo mixto, funciones de covarianza, poblaci&oacute;n animal. </p>  <hr size="1">      <p> Texto completo disponible en <a href="pdf/rce/v35nspe2/v35nspe2a08.pdf">PDF</a> </p>  <hr size="1">      <p> <b> <font size="3"> References </font> </b> </p>       <!-- ref --><p> 1. Albuquerque, L. G. &amp; Meyer, K. (2001), 'Estimates of covariance functions for growth from birth to 630 days of age in nellore cattle', <i>Journal of Animal Science</i> <b>79</b>(1), 2776-2789. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000026&pid=S0120-1751201200020000800001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p> 2. Arango, J. A., Cundiff, L. V. &amp; Van Vleck, L. 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Aceptado en abril de 2012&#93;</b> </center> <hr size="1">      <p> Este art&iacute;culo se puede citar en <i>LaTeX</i> utilizando la siguiente referencia bibliogr&aacute;fica de <i>BibTeX</i>: </p> <code><font size="2">@ARTICLE{RCEv35n2a08,    <br>   AUTHOR = {Mart&iacute;nez, Carlos Alberto and Elzo, Mauricio and Manrique, Carlos and Grajales, Luis Fernando and Jim&eacute;nez, Ariel},    <br>   TITLE  = {{Random Regression Models for Estimation of Covariance Functions, Genetic Parameters and Prediction of Breeding Values for Rib Eye Area in a Colombian <i>Bos indicus-Bos taurus</i> Multibreed Cattle Population}},    ]]></body>
<body><![CDATA[<br>   JOURNAL = {Revista Colombiana de Estad&iacute;stica},    <br>  YEAR  = {2012},    <br>  volume = {35},    <br>  number = {2},    <br>  pages  = {309-330}    <br> }</font></code>  <hr size="1"> </font>      ]]></body><back>
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