Predictive ability of genomic selection models in a multi-population perennial ryegrass training set using genotyping-by-sequencing

KEY MESSAGE: Genomic prediction models for multi-year dry matter yield, via genotyping-by-sequencing in a composite training set, demonstrate potential for genetic gain improvement through within-half sibling family selection. ABSTRACT: Perennial ryegrass (Lolium perenne L.) is a key source of nutri...

Description complète

Enregistré dans:
Détails bibliographiques
Publié dans:Theor Appl Genet
Auteurs principaux: Faville, Marty J., Ganesh, Siva, Cao, Mingshu, Jahufer, M. Z. Zulfi, Bilton, Timothy P., Easton, H. Sydney, Ryan, Douglas L., Trethewey, Jason A. K., Rolston, M. Philip, Griffiths, Andrew G., Moraga, Roger, Flay, Casey, Schmidt, Jana, Tan, Rachel, Barrett, Brent A.
Format: Artigo
Langue:Inglês
Publié: Springer Berlin Heidelberg 2017
Sujets:
Original Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5814531/
https://ncbi.nlm.nih.gov/pubmed/29264625
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00122-017-3030-1
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires