Felipe Sabadin

This study demonstrates that genomic selection can predict glycosidic nitrile content in winter barley during the same growing season, enabling earlier breeding decisions.

This study uses multi-spectral imaging to estimate genetic parameters of biomass accumulation and model growth curve stability in alfalfa across different irrigation treatments and cultivars.

This study compares DNA array and Genotyping-by-Sequencing (GBS) for genomic prediction of soybean oil composition traits using BayesB and BRR models.

The paper introduces CV-α, a validation method for genomic prediction that improves precision and enables statistical tests by reducing residual dependence compared to traditional methods.

This study shows that reducing genotyping marker density in cross-pollinated crops decreases predictive accuracy over generations, suggesting that higher marker density is better for long-term breeding.