Sydney P. Berry

This study evaluates genomic prediction models for maize hybrids using GBLUP-based multi-kernel models to estimate genetic variance components and predict hybrid performance.

This study identifies compositional and morphological traits of maize kernels that predict pericarp retention during nixtamalization using stain-based scoring and correlation analysis.

This study shows nixtamalization moisture content can be selected early in maize breeding using genomic prediction and NIR spectroscopy, with no significant correlation to yield.