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Communication Dans Un Congrès Année : 2016

L’évaluation génomique dans un schéma de croisement terminal

Résumé

In crossbreeding schemes, within-line selection of purebred lines mainly aims at improving performance of crossbred progeny in field conditions. The genetic correlation between purebred and crossbred performance is an important parameter to be assessed to ascertain that purebred performance is a good predictor of crossbred performance. With the availability of high density markers, feasibility of using crossbred information for evaluating purebred candidates can be reevaluated. This study implements and applies to real data a single-step terminal-cross model to estimate genetic parameters of several production traits in Pietrain and Pietrain x Large White pigs.Piglets were recorded for growth rate between 35 and 110 kg. Animals were genotyped using the 60K SNP chip. For each trait, purebred and crossbred performances were jointly analyzed. The purebred animals were evaluated through an animal model, whereas the additive genetic effect of a crossbred individual was decomposed into its purebred sire and dam allelic contribution effects. Piétrain genotypes were introduced in genetic evaluation in a single-step procedure. The same model but only accounting for pedigree information was compared to the genomic model in terms of breeding value accuracies obtained from the mixed model equations. Genetic correlation between purebreds and sire allelic contribution to crossbred performance was high (0.84 and 0.79 for the genomic and the pedigree model, respectively). Breeding value accuracies of the genotyped animals obtained with the genomic model outperformed the pedigree model.

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Dates et versions

hal-01578256 , version 1 (28-08-2017)

Identifiants

  • HAL Id : hal-01578256 , version 1
  • PRODINRA : 354077

Citer

Llibertat Tusell Palomero, Hélène Gilbert, Juliette Riquet, Marie-Jose Mercat, Andres Legarra, et al.. L’évaluation génomique dans un schéma de croisement terminal. 48. Journées de la Recherche Porcine, Feb 2016, Paris, France. ⟨hal-01578256⟩
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