Genomic prediction for heat and herbicide tolerance in faba bean.

ABSTRACT: Genomic selection (GS) has potential to accelerate the genetic gain in crop plants. This study was undertaken to assess the accuracy and potential of GS in faba bean [Vicia faba (L.)] and to enhance its application in breeding programs. A set of 118 diverse faba bean accessions were phenotyped for key agronomic traits under herbicide and heat stress across 16 environments in Morocco, Lebanon, Sudan, and the United States. These accessions were genotyped, revealing 170 single nucleotide polymorphisms (SNPs) strongly associated with target traits. kompetitive allele-specific PCR (KASP) markers were subsequently designed and validated on 4512 diverse breeding lines. Prediction accuracy (PA) was assessed using the reproducing kernel Hilbert space model, with and without genotype-by-environment

SUBMITTER: Abou Khater L 

PROVIDER: S-EPMC12271658 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature