TAILIEUCHUNG - Báo cáo sinh học: "Breeding value estimation with incomplete marker data"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Breeding value estimation with incomplete marker data | Genet. Sei. Evol. 30 1998 45-58 Inra Elsevier Paris 45 Original article Breeding value estimation with incomplete marker data Marco . Binka Johan . Van Arendonka Richard L. Quaasb a Animal Breeding and Genetics Group Wageningen Institute of Animal Sciences Wageningen Agricultural University PO Box 338 6700 AH Wageningen the Netherlands b Department of Animal Science Cornell University Ithaca NY 14853 USA Received 20 January 1997 accepted 17 November 1997 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 breeding values quantitative trait locus incomplete marker data Gibbs sampling Resume Estimation des valeurs génétiques avec Information incomplete sur les marqueurs. Un typage incomplet pour les marqueurs empêche 1 estimation des valeurs génétiques de type BLUP utilisant 1 information sur les marqueurs. On décrit une procedure d echantillonnage de Gibbs pour Festimation bayésienne des valeurs génétiques permettant une information incomplete pour un marqueur unique lié à un locus quantitatif. On développe le calcul des densités de probabilités des genotypes au marqueur parce que la reconsideration de la structure de la matrice des correlations gamétiques pour un locus quantitatif marque conduit à des densités conditionnelles simples. Un petit exemple numérique est donné pour valider les estimées obtenues par

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