Accuracy of genomic selection for grain yield and agronomic traits in soft red winter wheat

Abstract Background Genomic selection has the potential to increase genetic gains by using molecular markers as predictors of breeding values of individuals. This study evaluated the accuracy of predictions for grain yield, heading date, plant height, and yield components in soft red winter wheat un...

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主要な著者:	Dennis N. Lozada, R. Esten Mason, Jose Martin Sarinelli, Gina Brown-Guedira
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2019-11-01
シリーズ:	BMC Genetics
主題:	Agronomic traits Genomic selection Grain yield Ridge regression best linear unbiased prediction Soft red winter wheat Yield components
オンライン･アクセス:	http://link.springer.com/article/10.1186/s12863-019-0785-1
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