ReviewFrontiers in veterinary science2026
Managing the rumen hydrogen economy to improve feed efficiency and climate-smart livestock production.
Review in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Enteric methane (CH₄) emissions from ruminant livestock present dual challenges for agricultural sustainability: contributing to greenhouse gas emissions while reducing feed conversion efficiency and animal productivity. Methane is produced by methanogenic archaea utilizing metabolic hydrogen (H₂) generated during ruminal fermentation. This hydrogen economy is central to fermentation efficiency, nutrient utilization, and methane formation. Conventional mitigation strategies have primarily focused on inhibiting methanogenesis; however, these approaches often yield inconsistent results across production systems and lack an integrative framework for systematic application. This narrative review proposes a shift in perspective from methane suppression to the management of H₂ flow within the rumen hydrogen economy and introduces two complementary conceptual frameworks to guide this approach. The genetic-microbiome co-evolution framework conceptualizes the rumen microbiome as a partially heritable trait shaped by host genetic and environmental selection, providing a theoretical basis for selecting low-emission, feed-efficient animals. The conceptual fermentation kinetics framework provides a mechanistic basis for understanding how dietary inputs and microbial interactions influence the distribution of hydrogen among competing metabolic pathways, including methanogenesis and propionate formation. Together, these frameworks establish a systems-level perspective that may inform the development of integrated strategies combining host genetic selection, precision nutrition, and microbial management. While substantial validation remains necessary, this approach provides a conceptual foundation for advancing methane mitigation from descriptive observation toward mechanistic interpretation, with the ultimate goal of supporting climate-smart livestock production systems.
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