Abstract
Incomplete marker data prevent application of marker-assisted breeding value estimation using animal model BLUP. We describe a Gibbs sampling approach for Bayesian estimation of breeding values, allowing incomplete information on a single marker that is linked to a quantitative trait locus. Derivation of sampling densities for marker genotypes is emphasized, because reconsideration of the gametic relationship matrix structure for a marked quantitative trait locus leads to simple conditional densities. A small numerical example is used to validate estimates obtained from Gibbs sampling. Extension and application of the presented approach in livestock populations is discussed. © Inra/Elsevier, Paris
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