Meta-Analysis of Dietary Interventions for Enteric Methane Mitigation in Ruminants Through Methodological...

This meta-analysis systematically evaluates the efficacy of dietary interventions for mitigating enteric methane production in ruminants through the application of advanced statistical methodologies. A comprehensive dataset comprising 119 peer-reviewed publications (2000-2024) was analyzed using robust variance estimation, multilevel modeling, and network meta-analysis to quantify intervention efficacy and identify moderating factors while properly accounting for within-study dependencies. The results demonstrate a clear efficacy hierarchy of macroalgae (51.0% reduction [95% CI: 37.0-63.0%]), 3-nitrooxypropanol (3-NOP; 30.6% [95% CI: 22.0-45.0%]), nitrate (16.0% [95% CI: 6.0-26.0%]), oils (14.7% [95% CI: 5.0-24.0%]), and phytochemicals (13.5% [95% CI: 4.0-22.0%]). The meta-regression analyses identified significant dose-response relationships for macroalgae (coefficient = -0.212, p < 0.001), 3-NOP (coefficient = -0.002, p < 0.001), nitrate (coefficient = -0.045, p = 0.004), and oils (coefficient = -0.031, p = 0.008), with animal type significantly moderating efficacy across interventions. The temporal trend analysis revealed significant efficacy improvements for macroalgae, nitrate, and phytochemicals (p < 0.05). The examination of intervention combinations identified synergistic effects for tannin + nitrate (ratio = 1.25) and 3-NOP + macroalgae (ratio = 1.12) combinations. The integration of efficacy data with implementation factors demonstrated substantial variation in practical viability, with 3-NOP, oils, and nitrate demonstrating the most favorable implementation profiles despite macroalgae's superior efficacy. This comprehensive synthesis provides a quantitative foundation for developing targeted methane mitigation strategies across diverse ruminant production systems.