Ridge regression and deep learning models for genome-wide selection of complex traits in New Mexican Chile peppers

Ridge regression and deep learning models for genome-wide selection of complex traits in New Mexican Chile peppers

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 pe...

Full description

Bibliographic Details
Main Authors: Dennis N. Lozada, Karansher Singh Sandhu, Madhav Bhatta
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Genomic Data
Subjects:
Capsicum spp.
Genomic prediction
Genomic estimated breeding values
Linkage disequilibrium
Machine learning
Plant morphology
Online Access:https://doi.org/10.1186/s12863-023-01179-6

Internet

https://doi.org/10.1186/s12863-023-01179-6

Similar Items