Camila Ferreira Azevedo

This study identifies candidate loci for anthracnose resistance in blueberries using genome-wide association analysis and image-based disease scoring.

This study applies genomic prediction for Euterpe edulis to improve breeding programs, finding that single-trait models provide greater selection gains than multi-trait models.

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.