Marcos Deon Vilela de Resende

This study evaluates methods for genomic prediction using categorical data in breeding programs, finding that mixed models and Bayesian approaches perform well despite normality violations.

This study estimates the optimal number of harvests for genetic selection of Theobroma grandiflorum progenies and identifies the most promising ones based on productivity, stability, and adaptability.