arranjos para efeitos fixos e estruturas de (co)variâncias residuais para análises de medidas repetidas do peso de bovinos da raça canchim fixed effects arrays and residual covariance structures to analyze sequential weights of canchim beef cattle
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2006
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Abstract
Este trabalho foi realizado com o objetivo de selecionar o arranjo para efeitos fixos e a estrutura de (co)variância residual que melhor representam a variabilidade dos pesos dentro do rebanho e dentro dos indivíduos, considerando-se dados de pesos de bovinos analisados como medidas repetidas. Foram utilizados dados de peso de 3.690 bovinos Canchim, obtidos ao nascimento, à desmama, aos 12 e aos 18 meses de idade. Analisaram-se diferentes arranjos para os efeitos fixos (grupos de contemporâneos e/ou efeitos principais de ano, mês ou época de nascimento e sexo do bezerro) e diferentes estruturas de (co)variâncias para os resíduos, considerando-se ou não alteração da variância residual ao longo da vida do animal e alteração da correlação entre as medidas tomadas em intervalos diferentes. Os resultados indicaram que o arranjo mais adequado dos efeitos fixos para representar a variabilidade dos pesos dos animais dentro do rebanho foi o grupo de contemporâneos formado por ano, mês e sexo do bezerro e que as melhores estruturas de (co)variâncias residuais foram a Fator Analítico de Primeira Ordem e a Não Estruturada, que consideram o aumento das variâncias com o aumento da idade do indivíduo e as correlações diferentes para cada par de medidas de peso.
The aim of this work was to evaluate arrays of fixed effects and residual covariance structures that best fit the herd and the animal variability to weights at birth, weaning, twelve and eighteen months of 3,690 Canchim animals. Different arrays of fixed effects (contemporary groups and, or the main effects of year, month or season of birth and sex) and different residual covariance structures (considering or not change of variance and of correlation between weights at different ages) were studied. The results indicated that the most adequate array of fixed effects to fit herd variability was the contemporary group of year, month and sex. The best residual covariance structures were the First-Order Factor Analytic and the Unstructured, which consider increase of residual variance as age increases and different correlation between pair of weights at different ages.
The aim of this work was to evaluate arrays of fixed effects and residual covariance structures that best fit the herd and the animal variability to weights at birth, weaning, twelve and eighteen months of 3,690 Canchim animals. Different arrays of fixed effects (contemporary groups and, or the main effects of year, month or season of birth and sex) and different residual covariance structures (considering or not change of variance and of correlation between weights at different ages) were studied. The results indicated that the most adequate array of fixed effects to fit herd variability was the contemporary group of year, month and sex. The best residual covariance structures were the First-Order Factor Analytic and the Unstructured, which consider increase of residual variance as age increases and different correlation between pair of weights at different ages.
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toral2006revistaarranjos
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| Authors | ;Fábio Luiz Buranelo Toral;Maurício Mello de Alencar;Alfredo Ribeiro de Freitas |
| Journal | european journal of lipid science and technology |
| Year | 2006 |
| DOI |
10.1590/S1516-35982006000700010
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