Guilherme Francio Niederauer

This study evaluates how marker density and minor allele frequency affect genomic selection accuracy in grapevine using machine learning models and conventional methods.

This study performs a GWAS on a diverse grapevine collection to identify genetic determinants of berry size and cluster architecture traits, finding significant SNPs and candidate genes.

The paper identifies molecular signatures associated with russet skin formation in Niagara grapevine by analyzing transcriptomic and histological differences between somatic variants.

The paper analyzes genetic diversity and parentage of Brazilian grapevine hybrids to assess genetic erosion and guide breeding programs.