Potential Interest of Genomic Selection for Genetic Improvement Programs of Sheep and Goats

This study models and compares predicted annual genetic gain in sheep and goat breeding schemes under conventional, optimized, and genomic selection strategies, demonstrating how integrating genomic information and program optimization can enhance genetic progress.

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Description détaillée

The GENOVICAP project evaluated the use of genomic selection in small ruminant breeding over three years by modeling three selection programs: meat sheep, dairy sheep, and dairy goats. Using deterministic formulas for genomic prediction accuracy and a medium-sized reference population, the study compared conventional, optimized, and genomic scenarios to assess predicted annual genetic gain. Results indicate that incorporating genomic data alongside optimized program structures—such as multi-stage selection based on pedigree, own performance, and progeny records—can increase selection accuracy and accelerate genetic improvement, despite challenges like limited reference numbers and genotyping costs.

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Information détaillée sur la contribution

Projet

Innovations agronomiques

Innovations agronomiques

Localisation
France
Auteurs
Fidele SHUMBUSHO, Jérôme RAOUL, Jean-Michel ASTRUC, Isabelle PALHIÈRE et Jean-Michel ELSEN
Objectif
Adopt innovative practices

Type de fichier
document
Publié sur
01 mars 2014
Langue originale
French
Site officiel du projet
Innovations agronomiques
License
CC BY