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Selection on lean growth in a nucleus of Landrace pigs: an analysis using Gibbs sampling

Published online by Cambridge University Press:  02 September 2010

M. C. Rodriguez ,
M. Toro  and
L. Silió
M. C. Rodriguez
Affiliation:
Area de Mejora Genética Animal, CIT-IN1A Apartado 8111, 28080 Madrid, Spain
M. Toro
Affiliation:
Area de Mejora Genética Animal, CIT-IN1A Apartado 8111, 28080 Madrid, Spain
L. Silió
Affiliation:
Area de Mejora Genética Animal, CIT-IN1A Apartado 8111, 28080 Madrid, Spain
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Abstract

Data from 4150 Landrace pigs tested during the period 1989-94 for backfat thickness and age at 100 kg in an open selection nucleus were analysed with the standard restricted maximum likelihood/best linear unbiased prediction method and with a Bayesian approach based on the marginal posterior distributions of parameters of interest achieved via Gibbs sampling. Breeding values and fixed effects were sampled from normal distributions and (co)variance components from inverted Wishart distributions. The Bayesian analysis indicated that the selection was effective for both traits. Assuming flat priors for the (co)variance components, the posterior means of the annual rates of response to selection for both traits were −0·473 days and −0·212 mm. The influence of informative priors constructed from (co)variances estimated in the French Landrace breed on inferences about genetic and common environmental parameters, genetic group effects and total and annual responses was also examined.

Keywords

genetic parameterslean growthMonte Carlo methodpigsselection responses
Type
Research Article
Information
Animal Science , Volume 63 , Issue 2 , October 1996 , pp. 243 - 253
Copyright
Copyright © British Society of Animal Science 1996

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