Simone Bühlmann-Schütz

This study evaluates genomic and phenomic prediction methods for apple breeding, showing that expanding training sets improves predictive ability but leave-one-family-out validation reduces it, while phenomic data are less effective.

This study identifies SNPs associated with apple fruit shape, size, and skin color using digital phenotyping and genome-wide association analysis.