Andrea Knauf

Evaluation of genomic and phenomic prediction for application in apple breeding

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.

Genetic architecture and genomic prediction accuracy of apple quantitative traits across environments

This study examines the genetic architecture and genomic prediction accuracy of 30 apple quantitative traits across six European locations, identifying novel associations and demonstrating the impact of genotype by environment interactions.