W. G. da Costa

Non-linear kernel methods for genomic prediction of soybean yield and quality in multi-environment trials

Nonlinear kernels improve the accuracy of genomic prediction while preserving the inferential framework of quantitative genetics. Improving the predictive accuracy of genomic prediction (GP) for complex genetic architectures involving non-additive effects and genotype-by-environment interactions (GEI) requires alternat...