Combining datasets for maize root seedling traits increases the power of GWAS and genomic prediction accuracies.

ABSTRACT: The identification of genomic regions associated with root traits and the genomic prediction of untested genotypes can increase the rate of genetic gain in maize breeding programs targeting roots traits. Here, we combined two maize association panels with different genetic backgrounds to identify single nucleotide polymorphisms (SNPs) associated with root traits, and used a genome-wide association study (GWAS) and to assess the potential of genomic prediction for these traits in maize. For this, we evaluated 377 lines from the Ames panel and 302 from the Backcrossed Germplasm Enhancement of Maize (BGEM) panel in a combined panel of 679 lines. The lines were genotyped with 232 460 SNPs, and four root traits were collected from 14-day-old seedlings. We identified 30 SNPs significantly associ

SUBMITTER: Zuffo LT 

PROVIDER: S-EPMC9467658 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature