Multi-trait genomic prediction improves selection accuracy for enhancing seed mineral concentrations in pea (Pisum sativum L.)
Sikiru Adeniyi Atanda, Jenna Steffes, Yang Lan, Md Abdullah Al Bari, Jeong Hwa Kim, Mario Morales, Josephine Johnson, Rica Amor Saludares, Hannah Worral, Lisa M. Piche, Andrew A. Ross, Michael A. Grusak, Clarice J. Coyne, Rebecca J. McGee, Jiajia Rao, Nonoy B. Bandillo
This study shows that multi-trait genomic selection with sparse phenotyping improves prediction accuracy for seed mineral concentrations in pea compared to univariate genomic selection.
bioRxiv · Apr 11, 2022 · PreprintGenetics