Development of a Model for Genomic Prediction of Multiple Traits in Common Bean Germplasm, Based on Population Structure.

ABSTRACT: Due to insufficient identification and in-depth investigation of existing common bean germplasm resources, it is difficult for breeders to utilize these valuable genetic resources. This situation limits the breeding and industrial development of the common bean (Phaseolus vulgaris L.) in China. Genomic prediction (GP) is a breeding method that uses whole-genome molecular markers to calculate the genomic estimated breeding value (GEBV) of candidate materials and select breeding materials. This study aimed to use genomic prediction to evaluate 15 traits in a collection of 628 common bean lines (including 484 landraces and 144 breeding lines) to determine a common bean GP model. The GP model constructed by landraces showed a moderate to high predictive ability (ranging from 0.59-0.88).

SUBMITTER: Shao J 

PROVIDER: S-EPMC9144439 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature