Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs
Résumé
Improving feed efficiency (FE) is a major challenge in pig production. This complex trait is characterized by a high variability. Therefore, the identification of predictors of FE may be a relevant strategy to reduce phenotyping efforts in breeding and selection programs. The aim of this study was to investigate the suitability of expressed muscle genes in prediction of FE traits in growing pigs. The approach considered different transcriptomics experiments to cover a large range of FE values and identify reliable predictors.
Auteurs, date et publication :
Auteurs Farouk Messad , Isabelle Louveau , Basile Koffi , Hélène Gilbert , Florence Gondret
Publication : BMC Genomics
Date : 2019
Volume : 20
Issue : 1
Pages : 659