Accounting for heterogeneity of data in implementing genomic selection models applicable to crossbred cattle in India - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Communication Dans Un Congrès Année : 2022

Accounting for heterogeneity of data in implementing genomic selection models applicable to crossbred cattle in India

Résumé

Indian dairy production takes place in very diverse environments. The objective of this study was to identify genotype by environment interactions in the context of establishment of a reference population for genomic selection. Data from 9,265 cows in six states were analysed. The high variability in the distribution of breed types and milk yield across India, as well as the wide range of climatic zones existing in the country are highlighted. This heterogeneity must be taken into account, defining, for example, groups of districts (administrative regions within states), rather than considering India as one homogeneous country, in order to better predict the genomic merit of individuals in their local environment.
Fichier principal
Vignette du fichier
Guintard_Final.pdf (715.32 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03807050 , version 1 (08-10-2022)

Identifiants

  • HAL Id : hal-03807050 , version 1

Citer

Ana Guintard, Laurianne Bourguignon, Gwendal Restoux, Vincent Ducrocq. Accounting for heterogeneity of data in implementing genomic selection models applicable to crossbred cattle in India. World Congress on Genetics Applied to Livestock Production, Jul 2022, Rotterdam, Netherlands. ⟨hal-03807050⟩
30 Consultations
19 Téléchargements

Partager

More