Harnessing multivariate, penalized regression methods for genomic prediction and QTL detection of drought-related traits in grapevine

Viticulture has to cope with climate change and to decrease pesticide inputs, while maintaining yield and wine quality. Breeding is a key lever to meet this challenge, and genomic prediction a promising tool to accelerate breeding programs. Multivariate methods are potentially more accurate than uni...

Descripción completa

Detalles Bibliográficos
Autores principales: Brault, Charlotte, Doligez, Agnès, Cunff, Le, Coupel-Ledru, Aude, Simonneau, Thierry, Chiquet, Julien, This, Patrice, Flutre, Timothée
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496232/
https://www.ncbi.nlm.nih.gov/pubmed/34544146
http://dx.doi.org/10.1093/g3journal/jkab248

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496232/
https://www.ncbi.nlm.nih.gov/pubmed/34544146
http://dx.doi.org/10.1093/g3journal/jkab248

Ejemplares similares