Ridge regression and deep learning models for genome-wide selection of complex traits in New Mexican Chile peppers.
Journal:
BMC genomic data
PMID:
38110866
Abstract
BACKGROUND: Genomewide prediction estimates the genomic breeding values of selection candidates which can be utilized for population improvement and cultivar development. Ridge regression and deep learning-based selection models were implemented for yield and agronomic traits of 204 chile pepper genotypes evaluated in multi-environment trials in New Mexico, USA.