Multi‐breed genetic evaluation in a Gelbvieh population

Journal of Animal Breeding and Genetics - Tập 124 Số 5 - Trang 286-295 - 2007
Andrés Legarra1, J. K. Bertrand2, T. Strabel3, R. L. Sapp4, Juan Pablo Sánchez5,2, I. Misztal2
1INRA - Station d’Amélioration Génétique des Animaux, Castanet-Tolosan Cédex, France
2Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA
3 Department of Genetics and Animal Breeding, August Cieszkowski Agricultural University of Poznan, Poznan, Poland
4Animal Genomics and Breeding Department, Monsanto Company, St Louis, MO, USA
5Departamento de Producción Animal, Universidad de León, León, Spain

Tóm tắt

SummaryA multi‐breed model was presented for the genetic evaluation of growth traits in beef cattle. In addition to the fixed effects, random direct and maternal genetic effects, and random maternal permanent environmental effects are considered; the model also fits direct and maternal heterosis and direct and maternal breed‐of‐founder (BOF) × generation group effects using a Bayesian approach that weights prior literature estimates relative to information supplied by the dataset to which the model will be applied. The multi‐breed evaluation procedures also allow the inclusion of external evaluations for animals of other breeds. The multi‐breed model was applied to a dataset provided by the American Gelbvieh Association. Different analyses were conducted by varying the weights given to the prior literature relative to the information provided by the dataset. Large differences were observed for the heterosis estimates, the BOF × generation group effect estimates, and the predicted breeding values across breeds due to the weights posed on prior literature estimates versus estimates derived directly from data. However, the rankings within breed were observed to be relatively robust to the different weights on prior information.

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