Mila Leonie Tost

This study identifies SNP markers associated with environmental variables in European beech populations along an altitudinal gradient, highlighting potential genes involved in local adaptation to temperature and precipitation.

The paper conducts a GWAS in European beech to identify genetic markers associated with drought stress traits, finding significant SNPs linked to stomatal density and water use efficiency.

The paper uses stochastic simulations to optimize a maize breeding scheme by balancing genetic gains and diversity through additional phenotyping and external genetic material.

This study uses replicated divergent selection in maize to identify plant-height associated SNPs by applying a false discovery rate method to detect selection signals.

Ghat identifies selection on polygenic traits by analyzing allele frequency changes and effect sizes, demonstrating its power on wheat traits and simulated populations.