TAILIEUCHUNG - Báo cáo sinh học: " A reduced animal model approach to predicting total additive genetic merit for marker-assisted selection"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: A reduced animal model approach to predicting total additive genetic merit for marker-assisted selection | Genet Sei Evol 1997 29 25-34 Elsevier INRA 25 Original article A reduced animal model approach to predicting total additive genetic merit for marker-assisted selection s Saito1 H Iwaisaki1 2 1 Graduate School of Science and Technology 2 Department of Animal Science Faculty of Agriculture Niigata University Niigata 950-21 Japan Received 22 February 1996 accepted 15 October 1996 Summary - Using a system of recurrence equations best linear unbiased prediction applied to a reduced animal model RAM is presented for marker-assisted selection. This approach is a RAM version of the method with the animal model to reduce the number of equations per animal to one. The current RAM approach allows simultaneous evaluation of fixed effects and total additive genetic merit which is expressed as the sum of the additive genetic effects due to quantitative trait loci QTL unlinked to the marker locus ML and the additive effects due to the QTL linked to the ML. The total additive genetic merits for animals with no progeny axe predicted by the formulae derived for backsolving. A numerical example is given to illustrate the current RAM approach. marker-assisted selection reduced animal model best linear unbiased prediction total additive genetic merit combined numerator relationship matrix Resume utilisation d un modèle animal réduit pour prédire la valeur génétique globale dans la selection assistée par marqueur. Sur la base d un systeme d equations de recurrence la méthode du meilleur prédỉcteur linéaire sans biais appliquếe à un modèle animal reduit MAR est presentee pour la selection assistée par marqueur. Cette methode est une version MAR de celle du modèle animal pour réduire à un le nombre d equations par animal. Cette méthode MAR permet d estimer simultanément les effets fixes et la valeur génétique globale qui est la somme des effets génétiques additifs des locus de caractère quantitatif QTL non lies au locus marqueur et des effets additifs des QTL lies au locus marqueur. La .

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