Resource allocation optimization with multi-trait genomic prediction for bread wheat (Triticum aestivum L.) baking quality. [Original article].

KEY MESSAGE: Multi-trait genomic prediction models are useful to allocate available resources in breeding programs by targeted phenotyping of correlated traits when predicting expensive and labor-intensive quality parameters. ABSTRACT: Multi-trait genomic prediction models can be used to predict lab...

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Bibliographic Details

Main Author:	LADO, B. (author)
Other Authors:	VÁZQUEZ, D. (author), QUINCKE, M. (author), SILVA, P. (author), AGUILAR, I. (author), GUTIÉRREZ, L. (author)
Format:	article
Language:	English
Published:	2018
Subjects:	ABILITY TESTING FORECASTING PLANTS (BOTANY) SOFTWARE TESTING QUALITY CONTROL GENOMIC PREDICTIONS PLANT BREEDING PROGRAMS PLATAFORMA AGROALIMENTOS GENES
Online Access:	https://ainfo.inia.uy/consulta/busca?b=pc&id=59141&biblioteca=vazio&busca=59141&qFacets=59141
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