Mean and variance heterogeneity loci impact kernel compositional traits in maize.

ABSTRACT: Maize (Zea mays) kernel composition is critical for food, feed, and industrial applications. Improving traits such as starch, protein, oil, fiber, and ash requires understanding their genetic basis. We conducted genome-wide association studies (GWAS) and variance genome-wide association studies (vGWAS) analyses using 954 inbred lines from the USDA-ARS North Central Regional Plant Introduction Station collection to identify loci influencing both trait means and variability. We detected 10 significant single nucleotide polymorphisms (SNPs) associated with five kernel traits, some of which colocalized with known genes such as waxy1 and gras7. vGWAS uncovered additional loci not detected by standard GWAS, highlighting its value as a complementary tool. Genomic selection models, including ridge

SUBMITTER: Ismail YMA 

PROVIDER: S-EPMC12511846 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature