Chris Hudson

Papers

Total Citations

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About

Chris Hudson’s research sits at the critical intersection of dairy science, microbiology, and precision livestock management. His landmark 2020 study, “Quantitative Analysis of Colostrum Bacteriology on British Dairy Farms,” has become a foundational reference in calf health, amassing 22 citations for its stark demonstration that colostrum collection methods dramatically affect bacterial contamination. By analyzing 328 samples from 56 farms, Hudson revealed that milk collected directly from the teat harbored tenfold fewer total bacteria and coliforms than bucket-collected colostrum—a finding with immediate, practical implications for reducing neonatal disease. More recently, Hudson has pushed into predictive analytics, developing models for targeted reproductive management (TRM) in cows milked by automatic systems. His 2024 work tackles the core challenge of TRM: accurately forecasting an individual cow’s reproductive performance to enable group-level fertility strategies. This forward-looking research promises to optimize breeding decisions and reduce intervention costs on modern dairy operations. Hudson’s work is distinguished by its direct farm-level applicability, blending rigorous bacteriology with data-driven management tools to improve both calf survival and herd efficiency.