Article
Efficient Markov chain Monte Carlo implementation of Bayesian analysis of additive and dominance genetic variances in noninbred pedigrees.
Genetics - 1 Jun 2008
Waldmann Patrik, Hallander Jon, Hoti Fabian, Sillanpää Mikko J
Abstract excerpt
Accurate and fast computation of quantitative genetic variance parameters is of great importance in both natural and breeding populations. For experimental designs with complex relationship structures it can be important to include both additive and dominance variance components in the statistical model. In this study, we introduce a Bayesian Gibbs sampling approach for estimation of additive and dominance...
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