Selective Genotyping and Phenotyping for Optimization of Genomic Prediction Models for Populations with Different Diversity.

ABSTRACT: To overcome the different challenges to food security caused by a growing population and climate change, soybean (Glycine max (L.) Merr.) breeders are creating novel cultivars that have the potential to improve productivity while maintaining environmental sustainability. Genomic selection (GS) is an advanced approach that may accelerate the rate of genetic gain in breeding using genome-wide molecular markers. The accuracy of genomic selection can be affected by trait architecture and heritability, marker density, linkage disequilibrium, statistical models, and training set. The selection of a minimal and optimal marker set with high prediction accuracy can lower genotyping costs, computational time, and multicollinearity. Selective phenotyping could reduce the number of genotypes te

SUBMITTER: Ceran M 

PROVIDER: S-EPMC11013471 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature