Fabyano Fonseca e Silva

This study investigates whether using the APY algorithm with truncated pedigree and phenotypes reduces computational costs in ssGREML for variance component estimation, finding that it slightly decreases ordering and symbolic factorization time without affecting estimates.

The paper analyzes linkage disequilibrium and haplotype block patterns in maize populations to understand LD decay and its implications for association studies and genomic selection.

The paper evaluates genomic prediction efficiency for untested single crosses using simulated data, finding high accuracy and coincidence across varying heritability and genetic models.

The paper evaluates GWAS efficiency in different plant populations, finding that inbred lines panels offer the best QTL detection power and precision, especially for low and intermediate heritability traits.