Ridge regression and deep learning models for genome-wide selection of complex traits in New Mexican Chile peppers
Dennis N. Lozada,
Karansher Singh Sandhu,
Madhav Bhatta
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.
Results
Accuracy of prediction differed across different models under ten-fold cross-val… Show more
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