Marcus G. Doherr

Papers

Total Citations

H-Index

About

Marcus G. Doherr is a leading veterinary epidemiologist whose research centers on udder health, dairy herd management, and the application of diagnostic technologies to improve animal welfare and food safety. His major contributions lie in critically evaluating the performance of automated systems and developing innovative tools for disease detection. In a pivotal 2022 cross-sectional study, Doherr assessed the sensitivity and specificity of clinical mastitis detection by automatic milking systems in Bavarian dairy herds, providing essential, evidence-based benchmarks for the reliability of these widely used technologies. This work, which has garnered 23 citations, directly informs best practices for on-farm milk quality control. He is also the driving force behind the "ZellDiX" approach, a novel method that leverages routine Dairy Herd Improvement (DHI) somatic cell count data and cell differentiation to create a more nuanced assessment of udder health. By moving beyond simple cell counts to compute six distinct udder health scores, Doherr has given farmers and veterinarians a powerful, data-driven tool for proactive herd management, cementing his reputation as a key innovator in the field of veterinary epidemiology and dairy science.