Janez Jenko

This study simulates the impact of importing genetic material on small cattle breeding programs, finding that benefits depend on genetic correlation, import extent, and breeding scheme.

This study shows that dairy breeding programs can maximize genetic gain by reallocating resources from phenotyping to genotyping, without increasing overall investment.

This paper improves long-range phasing and haplotype library imputation algorithms to handle large and heterogeneous datasets, achieving high accuracy with reduced computational time.

This paper simulates genomic selection strategies in a small dairy population to evaluate their impact on genetic gain, variation, and sustainability.

This study simulates genome editing and selection strategies to reduce deleterious load in animal breeding, finding that editing multiple recessive variants is more effective than selection against carriers.

The paper identifies three haplotypes with putatively recessive lethal alleles in Irish beef cattle and shows their pleiotropic effects on economically important traits.

This study simulates strategies for using surrogate sire technology to enhance genetic merit in livestock breeding, finding a three-stage approach most effective for maximizing genetic gain.