Markus Neuditschko

This study analyzes 1442 European honey bee colonies to identify factors driving microbiome variation, finding that season, year, location, and Varroa destructor load significantly influence microbiome composition.

The paper identifies high heterozygous call rates in purebred horses using the Axiom Equine 670K SNP array and shows that genotype concordance improves with quality filtering and batch effect correction.

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 performs genome-wide association analysis on honey bee colonies to identify genetic markers linked to Varroa destructor resistance, revealing a polygenic architecture and supporting genomic selection strategies.