A Bayesian Inference of Genetic Parameters for Sexual Dimorphism Using Carcass Trait Data

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概要

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• Differences in some traits between males and females, called sexual dimorphism, are observed among wild and livestock animals. For traits in which variances may be heterogeneous between sexes in some cases, evaluating the relevant genetic parameters, including genetic correlation between sexes, is an important topic requiring estimation of the components of (co)variances. This study developed a Bayesian approach via the Gibbs sampler to estimate the (co)variance components and genetic parameters of sexual dimorphism. As prior distributions, uniform, multivariate normal, two dimensional scaled inverted Wishart and independent scaled inverted chi-square distributions were used for the macro-environmental effects, breeding values, additive genetic (co)variances and residual variances, respectively. This approach was applied to beef carcass trait data, and the estimates of the (co)variance components and genetic parameters (especially the modes of the marginal posterior densities) were generally in agreement with those obtained using the restricted maximum likelihood procedure.

• 2010-12-31

著者

• Iwaisaki Hiroaki

  Graduate School Of Agriculture Kyoto University

• ARAKAWA Aisaku

  Graduate School of Science and Technology, Niigata University

• Arakawa Aisaku

  Graduate School Of Agriculture Kyoto University

関連論文

• A Bayesian Inference of Genetic Parameters for Sexual Dimorphism Using Carcass Trait Data
• Estimation of breeding values from large-sized routine carcass data in Japanese Black cattle using Bayesian analysis
• Investigation of Gibbs sampling conditions to estimate variance components from Japanese Black carcass field data

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