Mitigating methane in dairy cattle: Integrated strategies and the evolving role of precision livestock farming

Abstract

Modern dairy farming faces the dual challenge of meeting global food demands while mitigating its environmental impact, particularly greenhouse gas (GHG) emissions, such as methane (CH4), a potent contributor to climate change. This review explores the role of Precision Livestock Farming (PLF) technologies in monitoring and reducing CH4 emissions from dairy cattle. We evaluate state-of-the-art methods, including direct monitoring (e.g. respiratory chambers, GreenFeed systems) and indirect approaches (e.g. infrared milk spectroscopy, AI-driven analytics), alongside mitigation strategies such as nutritional optimisation, genetic selection, and ruminal additives. PLF emerges as a transformative tool, integrating real-time data on animal health, feed efficiency, and environmental conditions to optimise management practices and reduce emissions per unit of milk produced. By synthesising current research, we highlight the potential of PLF to reconcile productivity with sustainability, offering scalable solutions for the dairy sector. Critical gaps in real-time CH4 monitoring and farm-level implementation are identified, underscoring the need for further innovation. This review provides a roadmap for aligning dairy production with global climate goals while ensuring food security for the growing population.