Beatriz C. D. Cuyabano

This study evaluates how social interactions affect fish breeding programs through stochastic simulations, showing increased phenotypic variability and altered genetic gains under different selection strategies.

This paper evaluates deep learning's ability to predict genetic values in crossbred populations by capturing heterosis, finding it improves performance when heterosis is present.

The paper investigates how multi-trait selection affects genetic correlations in populations, using theory and a case study on dairy cattle data.

This paper introduces a hybrid DLGBLUP model that integrates deep learning with GBLUP to improve prediction accuracy by capturing nonlinear genetic relationships between traits.