Jul 2026
Genomic prediction in small simulated populations using linear and nonlinear models
It is suggested that linear and nonlinear models have complementary roles in genomic prediction, with linear models being more suitable for ranking individuals and nonlinear models contributing to reduced prediction error in the simulated scenarios evaluated.
D. Silva, Gian Carlo Ianoni Seidel, João Pedro Inoe Araújo et al.
· Peer Review · 0 citations