Integrating phenomic selection using single-kernel near-infrared spectroscopy and genomic selection for corn breeding improvement.

ABSTRACT:

Key message

Phenomic selection using intact seeds is a promising tool to improve gain and complement genomic selection in corn breeding. Models that combine genomic and phenomic data maximize the predictive ability. Phenomic selection (PS) is a cost-effective method proposed for predicting complex traits and enhancing genetic gain in breeding programs. The statistical procedures are similar to those utilized in genomic selection (GS) models, but molecular markers data are replaced with phenomic data, such as near-infrared spectroscopy (NIRS). However, the use of NIRS applied to PS typically utilized destructive sampling or collected data after the establishment of selection experiments in the field. Here, we explored the application of PS using nondestructive, single-kernel NIRS in

SUBMITTER: Graciano RP 

PROVIDER: S-EPMC11865162 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature