The Use of A Priori Biological Information to Evaluate the Ability of BayesRC Model in Genomic Prediction - Archive ouverte HAL Access content directly
Conference Papers Year :

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

(1, 2) , (1) , (1)
1
2

Abstract

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
Origin : Files produced by the author(s)

Dates and versions

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

Identifiers

  • HAL Id : hal-03742059 , version 1

Cite

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⟩
15 View
1 Download

Share

Gmail Facebook Twitter LinkedIn More