Alencar Xavier

The paper reports on a competition to predict maize yield using genetic and environmental data, showing that diverse modeling approaches can achieve good results.

This study improves SNP association analysis for Alzheimer's disease using enhanced preprocessing and mixed linear models, identifying SNPs in known AD-associated regions without benefit from demographic data.

This study identifies quantitative trait loci for soybean yield components and evaluates genomic prediction accuracy across families and environments.