Multi-trait genomic prediction model increased the predictive ability for agronomic and malting quality traits in barley (Hordeum vulgare L.).

Abstract:Plant breeders regularly evaluate multiple traits across multiple environments, which opens an avenue for using multiple traits in genomic prediction models. We assessed the potential of multi-trait (MT) genomic prediction model through evaluating several strategies of incorporating multipl...

Full description

Bibliographic Details

Main Author:	BHATTA, M. (author)
Other Authors:	GUTIERREZ, L. (author), CAMMAROTA, L. (author), CARDOZO, F. (author), GERMAN, S. (author), GÓMEZ-GUERRERO, B. (author), PARDO, M.F. (author), LANARO, V. (author), SAYAS, M. (author), CASTRO, A.J. (author)
Format:	article
Language:	English
Published:	2020
Subjects:	MULTI-TRAIT MULTI-ENVIRONMENT GENOMIC PREDICTION MALTING QUALITY GRAIN YIELD GRAIN QUALITY SHARED DATA RESOURCES GENPRED
Online Access:	https://ainfo.inia.uy/consulta/busca?b=pc&id=61265&biblioteca=vazio&busca=61265&qFacets=61265
Tags:	Add Tag No Tags, Be the first to tag this record!