Genomic predictions of genetic variances and correlations among traits for breeding crosses in soybean.

ABSTRACT: Parental selection is perhaps the most critical decision a breeder makes, establishing the foundation of the entire program for years to come. Cross selection based on predicted mean and genetic variance can be further expanded to multiple-trait improvement by predicting the genetic correlation ( rG ) between pairs of traits. Our objective was to empirically assess the ability to predict the family mean, genetic variance, superior progeny mean and genetic correlation through genomic prediction in a soybean population. Data made available through the Soybean Nested Association Mapping project included phenotypic data on seven traits (days to maturity, lodging, oil, plant height, protein, seed size, and seed yield) for 39 families. Training population composition followed a leave-one-family-

SUBMITTER: Wartha CA 

PROVIDER: S-EPMC11350137 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature