Comparative evaluation of optimized Bayesian versus improved machine learning methods for genomic selection of milk production traits
This study aimed to enhance the genomic selection (GS) for milk production traits in Holstein cows within a digital breeding framework. We evaluated three optimized Bayesian (BB-opt, BL-D, BRR-G) and three improved machine learning (GB-Ens, RF-S, RKHS) methods using multiple cross-validation strategies (3FCV, 5FCV, 10F...