Bionote
Leonardo Oliveira Silva da Costa holds a degree in Forest Engineering from the Federal University of Goiás (UFG) and a master’s degree in Genetics and Plant Breeding from the Federal University of Lavras (UFLA). He is a Ph.D. student in the Graduate Program in Genetics and Plant Breeding at UFLA. His research focuses on modeling genotype-by-environment (G×E) interactions by integrating environmental covariates and genomic data to enhance breeding strategies in Eucalyptus.
Presentation Abstract
Eucalyptus urophylla S.T. Blake is one of Brazil’s most planted tree species. This study used climate data information from public databases to model genotype-by-environment (G×E) interactions across 18 trials in eight states, involving 107 open-pollinated families. Predictive models combining genotypic and environmental effects were evaluated. The most accurate model (G + W + G×W) enabled productivity mapping at a 0.5º (55km x 55km) resolution. Thematic maps revealed distinct family responses across environments, supporting more precise, site-specific recommendations and demonstrating the value of environmental covariates in capturing G×E interactions and improving the precision of site-specific family selection in Eucalyptus breeding programs.
Co-Researcher (Supervisors): Evandro Novaes, Paulo Henrique Müller da Silva, Alexander Lipka