The Use of A Priori Biological Information to Evaluate the Ability of BayesRC Model in Genomic Prediction - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

The Use of A Priori Biological Information to Evaluate the Ability of BayesRC Model in Genomic Prediction

Résumé

The increase in technological advancement and decrease in SNP genotyping chip costs have led to identifying the candidate variants of complex traits, analyzing genetic architecture, and estimating genomic breeding values. The newest Bayesian genomic evaluation methods have the property to deal with all three aspects. This is the case of the BayesR which modelizes
Fichier principal
Vignette du fichier
Ali Baber - EAAP Abstract.pdf (160.93 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03742059 , version 1 (02-08-2022)

Identifiants

  • HAL Id : hal-03742059 , version 1

Citer

Baber Ali, Fanny Mollandin, Pascal Croiseau. The Use of A Priori Biological Information to Evaluate the Ability of BayesRC Model in Genomic Prediction. 72st Annual Meeting of the European Association for Animal Production, Aug 2021, Davos, Switzerland. ⟨hal-03742059⟩
28 Consultations
3 Téléchargements

Partager

Gmail Facebook X LinkedIn More