BOUFFIER, Laurent; KLÁPŠTĚ, J; BARTHOLOMÉ, Jérôme; PLOMION, Christophe; TELFER, E; GRAHAM, N; DUNGEY, H

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BOUFFIER, Laurent
Biodiversité, Gènes & Communautés [BioGeCo]

KLÁPŠTĚ, J
New Zealand Forest Research Institute

BARTHOLOMÉ, Jérôme
Amélioration génétique et adaptation des plantes méditerranéennes et tropicales [UMR AGAP]

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Communication dans un congrès

Ce document a été publié dans

11. World Congress on Genetics Applied to Livestock Production, 2018-11-07, Auckland.

Résumé en anglais

Genomic selection has been successfully implemented in both animal and agricultural crop breeding programmes. Recently, forest tree breeding has also implemented genomic tools to improve the efficiency of breeding and selection procedures. Due to high genetic complexity of most economically important traits, genomic selection shows promise in operational breeding programmes for forest trees. Our two case studies, performed in economically important conifer species, showed that a genomic-based approach can reach similar prediction accuracies compared to the pedigree-based alternative. However, larger training population sample sizes should be used to increase the efficiency of genomic selection and outperform the traditional pedigree-based scenario. Moreover, broad genetic diversity is needed to successfully estimate genetic correlations and perform multivariate analyses.< Réduire

Mots clés en anglais

genomic selection

forestry

prediction accuracy

Origine

Importé de hal

Unités de recherche

BioGeCo (Biodiversité Gènes & Communautés) - UMR 1202