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The algorithm of Bayesian estimation of maternal genetic and permanent maternal environmental variances in a two-trait binary threshold model

Author

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  • E. Skotarczak

    (, M. S 2, A. D 1, K. M 1, T. S 2 1Department of Mathematical and Statistical Methods, 2Department of Genetics and Animal Breeding, August Cieszkowski Agricultural University of Poznań, Poland)

  • M. Szyd

    (, M. S 2, A. D 1, K. M 1, T. S 2 1Department of Mathematical and Statistical Methods, 2Department of Genetics and Animal Breeding, August Cieszkowski Agricultural University of Poznań, Poland)

  • A. Dobek

    (, M. S 2, A. D 1, K. M 1, T. S 2 1Department of Mathematical and Statistical Methods, 2Department of Genetics and Animal Breeding, August Cieszkowski Agricultural University of Poznań, Poland)

  • K. Moli

    (, M. S 2, A. D 1, K. M 1, T. S 2 1Department of Mathematical and Statistical Methods, 2Department of Genetics and Animal Breeding, August Cieszkowski Agricultural University of Poznań, Poland)

  • T. Szwaczkowski

    (, M. S 2, A. D 1, K. M 1, T. S 2 1Department of Mathematical and Statistical Methods, 2Department of Genetics and Animal Breeding, August Cieszkowski Agricultural University of Poznań, Poland)

Abstract

The paper presents an algorithm for the estimation and prediction of parameters in a two-trait binary threshold model. The model includes fixed effects and the following random effects: genetic direct additive, genetic maternal additive and permanent maternal environmental effects. The Gibbs sampling procedure was used to estimate the parameters. The algorithm was illustrated with a numerical example showing appropriateness of the proposed method.

Suggested Citation

  • E. Skotarczak & M. Szyd & A. Dobek & K. Moli & T. Szwaczkowski, 2004. "The algorithm of Bayesian estimation of maternal genetic and permanent maternal environmental variances in a two-trait binary threshold model," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 49(2), pages 58-63.
    • Handle: RePEc:caa:jnlcjs:v:49:y:2004:i:2:id:4280-cjas
    DOI: 10.17221/4280-CJAS
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