Advancing climate-resilient livestock systems: Next-generation emission mitigation strategies and integrated technological innovations.
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75% confidenceThis MFC study investigates Climate-smart agriculture, Emission reduction technologies, Greenhouse gas mitigation. The research focuses on system optimization and characterization.
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Abstract
Livestock production significantly contributes to global greenhouse gas (GHG) emissions, particularly methane (CH₄), nitrous oxide (N₂O), and carbon dioxide (CO₂), posing challenges to climate change mitigation and environmental sustainability. This review explores advanced, system-wide approaches to reduce emissions from livestock systems while enhancing productivity, resilience, and resource efficiency. It covers short-term mitigation strategies such as dietary interventions-including methane inhibitors, microbial modulators, and natural compounds-that target enteric fermentation. Long-term solutions involve genetic and breeding innovations, such as microbiome-genome interaction analyses, CRISPR-based editing, and low-methane phenotyping, supported by genomic selection and precision phenotyping tools. The review also assesses advanced manure management technologies like anaerobic digesters and nutrient recovery systems, and examines precision livestock farming tools, including real-time sensors, machine learning models, UAVs, and IoT-based monitoring systems. Emerging digital tools, blockchain, augmented reality, and AI-assisted diagnostics are highlighted for enhancing traceability and decision-making. The potential of integrated energy systems, such as microbial fuel cells, hydrogen electrolysis, algae-based bioenergy, and thermal gasification, is discussed alongside traditional renewables, enabling livestock farms to become clean energy hubs. Circularity is emphasized through silvopasture, algal bioremediation, insect bioconversion, and integrated crop-livestock systems. Environmental assessment tools and the socio-political dimensions of technology adoption, including policy, education, and farmer behavior, are also considered. Future research directions, such as atmospheric methane oxidation, 4D-printed feed additives, and quantum modeling, are proposed. Overall, the review calls for a transdisciplinary, integrated approach to transform livestock systems into climate-smart, low-emission food production networks.