Genomic tools are transforming our understanding of wild deer population structure, connectivity, and disease susceptibility, informing more evidence-based management approaches with direct welfare implications.
Genomics improves deer welfare management by enabling more precise, targeted interventions. Understanding population connectivity means culling can be planned to actually reduce local populations rather than being immediately replaced, reducing the total number of animals killed for a given management outcome. Identifying disease susceptibility variants may eventually allow targeted surveillance rather than broad culling in disease outbreak responses. Crucially, genomic data can inform whether management is achieving population-level objectives, replacing anecdotal assessment with measurable evidence. The welfare implications of deer management are significant: culling methods, timing relative to breeding season, and collateral injury to non-target individuals all affect welfare outcomes for the millions of deer managed annually across Europe and North America.