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• W1836536672 abstract "Summary Background: the milk yield records measured along lactation provide an example of repeated measures; the random regression models are an appealing approach to model repeated measures and to estimate genetic parameters. Objective: to estimate the genetic parameters by modeling the additive genetic and the residual variance for test-day milk yield in first calving buffaloes. Methods: 3,986 test-day data from 1,246 first lactations of crossbred buffalo daughters of 23 sires and 391 dams between 1997 and 2008 from five farms were used. The model included the genetic and permanent environment additive as the random effect and the contemporary group (year, month of test-day) and age at calving as covariable (linear) fixed effects. The fixed (third order) and random (third to ninth order) regressions were obtained by Legendre polynomials. The residual variances were modeled with a homogeneous structure and various heterogeneous classes. The variance components were estimated using the WOMBAT statistical program (Meyer, 2006). Results: according to the likelihood ratio test, the best model included four variance classes, considering Legendre polynomials of the fourth order for permanent environment and additive genetic effects. The heritabilities estimates were low, varying from 0.0 to 0.14. The estimates of genetic correlations were high and positive among PDC1 and PDC8, except for PCD9, which was negative. This indicates that for any of the selection criteria adopted, the indirect genetic gain is expected for all lactation curves, except for PCD9. Conclusion: heterogeneity of residual variances should be considered in models whose goal is to examine the alterations of variances according to day of lactation. Key words: biomodeling, genetic correlations, Legendre polynomials, random regression models. Resumen Antecedentes: los registros de produccion de leche medidos a lo largo de la lactancia son un ejemplo de medidas repetidas, los modelos de regresion aleatoria presentan un enfoque atractivo para modelar medidas repetidas y para estimar parametros geneticos. Objetivo: estimar parametros geneticos a traves de la modelacion de la varianza genetica y residual para produccion de leche en el dia de control en bufalas de primer parto. Metodos: fueron analizados 3986 controles de produccion de leche en la primera lactancia de 1246 bufalas, hijas de 391 hembras y 23 toros, durante los anos 1997 hasta 2008 en 5 fincas.  El modelo incluyo como efectos aleatorios genetico aditivo y de ambiente permanente, como efectos fijos grupo contemporaneo compuesto por mes, ano de control y la covariable de la edad de la bufala al parto (lineal). Las regresiones fijas (3 er orden) y aleatorias (3 er a 9 no orden) fueron obtenidas mediante polinomios de Legendre. Las varianzas residuales fueron modeladas con una estructura  homogenea y varias clases heterogeneas. Los componentes de varianza fueron estimados utilizando el programa WOMBAT. Resultados: de acuerdo con la prueba de la razon de verosimilitud, el mejor modelo fue con 4 clases de varianzas residuales, siendo considerado un polinomio de Legendre de cuarto orden para el efecto de ambiente permanente y genetico aditivo. Las heredabilidades fueron bajas, variando desde 0,00 hasta 0,14. Las correlaciones geneticas fueron altas y positivas entre los PDC1 a PDC8, excepto en el PDC9 que fue negativo con respecto a los demas controles. Conclusiones: es necesario considerar la heterogeneidad de varianzas residuales en los modelos estudiados, con el fin de modelar los cambios en las variaciones respecto a los dias en lactancia. Palabras clave: biomodelacion, correlacion genetica, modelos de regresion aleatoria, polinomios de Legendre. Resumo Antecedentes: os registros da producao do leite medidos ao longo da lactacao, apresentam um exemplo de medidas repetidas. Os modelos de regressao aleatoria apresentam abordagem atraente para modelar medidas repetidas e estimar parâmetros geneticos. Objetivo: estimar parametros geneticos mediante a modelacao das variâncias geneticas e residual da producao do leite no dia do controle em bufalas de primeiro parto. Metodos: foram analisados 3986 controles de producao de leite em primeiras lactacoes de 1246 bufalas, filhas de 391 femeas e 23 touros, entre 1997 e 2008 em 5 fazendas. No modelo foram incluidos como efeitos aleatorios o genetico aditivo e ambiente permanente, e como fixos o grupo contemporâneo (mes e ano de controle) e a covariavel a idade da bufala ao parto (Lineal). As regressoes fixas (3° ordem) e aleatorias (3° a 9° ordem) foram obtidas mediante polinomios ortogonais de Legendre. As variâncias residuais foram modeladas mediante estruturas homogeneas e diferentes classes heterogeneas. Os componentes de variância foram estimadas mediante o software WOMBAT. Resultados: de acordo com a prova da maxima verossimilhanca, o melhor modelo foi com 4 classes de variâncias residuais, sendo considerado polinomios de Legendre de quarto ordem para o efeito de ambiente permanente e genetico aditivo. As herdabilidades foram baixas, variando desde 0,00 ate 0,14. As correlacoes geneticas foram altas e positivas entre o PDC1 e PDC8, a excecao do PDC9 que apresentou valores negativos com respeito aos outros controles. Conclusoes: e necessario considerar heterogeneidade de variâncias nos modelos estudados, tentando modelar as mudancas nas variacoes respeito aos dias em lactacao. Palavras chave: biomodelagem, correlacao genetica, modelos de regressao aleatoria, polinomios de Legendre." @default.
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• W1836536672 date "2013-09-01" @default.
• W1836536672 modified "2023-10-02" @default.
• W1836536672 title "Estimation of genetic parameters for test-day milk yield in first calving buffaloes" @default.
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