Accelerating wheat breeding for end-use quality through association mapping and multivariate genomic prediction

Shichen Zhang-Biehn, Allan Fritz, Guorong Zhang, Byron Evers, Rebecca Regan & Jesse Poland
In hard winter wheat breeding, the evaluation of end-use quality is expensive and time-consuming, being relegated to the final stages of the breeding program after selection for many traits including disease resistance, agronomic performance and grain yield. In this study, our objectives were to identify genetic variants underlying baking quality traits through genome-wide association mapping (GWAS) and develop improved genomic selection (GS) models for the quality traits in hard winter wheat. Advanced breeding lines (n=462)...
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