Letícia Aparecida de Castro Lara

This paper develops the highest-density linkage map for hexaploid Urochloa humidicola, revealing genetic organization, apomixis, and polyploid origins using SNP markers.

This paper develops a joint learning approach to improve genomic prediction in polyploid grasses, achieving over 50% accuracy improvements over traditional methods.

This paper introduces a framework for temporal and genomic analysis of additive genetic variance in breeding programs, showing good concordance between simulated and estimated variances.