A meta-analysis of 3-nitrooxypropanol effects on methane production and yield in beef cattle

Beef cattle are a major source of enteric methane (CH<sub>4</sub>) emissions, a potent greenhouse gas. The feed additive 3-nitrooxypropanol (3-NOP) has been shown to reduce CH<sub>4</sub> emissions by inhibiting methyl-coenzyme M reductase, an enzyme critical to methanogenesis in archaea. This study aimed to quantify the effects of 3-NOP on CH<sub>4</sub> production (g/d) and yield (g/kg DM intake; DMI) in beef cattle and to evaluate how diet composition influences the mitigation response. A systematic literature review identified 17 eligible in vivo studies (16 peer-reviewed and 1 preprint), yielding 45 treatment means. Treatment effects were expressed as absolute and relative mean differences versus control groups. Predictor variables included 3-NOP dose, 3-NOP dose<sup>2</sup>, DMI, dietary concentration of NDF, CP, starch, fat, and OM, roughage proportion, BW, and dietary inclusion of monensin (yes/no). Four types of models were developed, all including the intercept and 3-NOP dose as fixed predictors, differing as follows: (model 1) optional inclusion of 3-NOP dose<sup>2</sup> when P < 0.10; (model 2) model 1 plus pre-inclusion of NDF concentration; (model 3) pre-inclusion of NDF concentration plus additional predictors (pairwise r ≤ 0.5) that significantly improved model accuracy (P < 0.10); and (model 4) additional predictors selected under the same criteria as model 3, without pre-inclusion of NDF concentration. For models 3 and 4, a maximum of five predictors was considered and evaluated using leave-one-out cross-validation. Across studies, the 3-NOP dose ranged from 32 to 338 mg/kg of DM. On average, 3-NOP reduced CH<sub>4</sub> production by 49.9 ± 28.61 g/d (36.2 ± 24.43%) and CH<sub>4</sub> yield by 5.3 ± 3.61 g/kg DMI (33.2 ± 25.54%). The best models were selected based on biological interpretability, statistical significance, and predictive accuracy (as measured by RMSE) and included 3-NOP dose, dietary concentration of NDF and fat, DMI, and BW as significant predictors (fat only for relative mean difference in CH<sub>4</sub> yield and DMI and BW only for absolute CH<sub>4</sub> production). Mitigation efficacy increased with higher DMI and declined with increasing NDF concentration and BW. Absolute reductions of 53.4 g/d and 5.96 g/kg of DMI, and relative reductions of 37.9% in CH<sub>4</sub> production and 35.5% in CH<sub>4</sub> yield were predicted when moderators were at their mean value (3-NOP dose = 134.4 mg/kg of DM; NDF concentration = 32.8% of DM; DMI of 8.6 kg/d; BW = 429 kg; fat concentration = 3.8% of DM). These results support the effectiveness of 3-NOP in mitigating enteric CH<sub>4</sub> emission in beef cattle and provide quantitative models to be used in assessment tools and greenhouse gas inventory methodology.

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animal
Published
2026-01-22
DOI
https://doi.org/10.1016/j.animal.2026.101767
Primary Topic
Ruminant Nutrition and Digestive Physiology
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article

A meta-analysis of 3-nitrooxypropanol effects on methane production and yield in beef cattle

K. A. Beauchemin, A. Bannink, E. Kebreab, E.M. Pressman et al.
animal
Ruminant Nutrition and Digestive Physiology
article

A meta-analysis of 3-nitrooxypropanol effects on methane production and yield in beef cattle

K. A. Beauchemin, A. Bannink, E. Kebreab, E.M. Pressman, J. Dijkstra, M.H. de Oliveira, S. van Gastelen, R. Zihlmann
article en

Abstract

Beef cattle are a major source of enteric methane (CH<sub>4</sub>) emissions, a potent greenhouse gas. The feed additive 3-nitrooxypropanol (3-NOP) has been shown to reduce CH<sub>4</sub> emissions by inhibiting methyl-coenzyme M reductase, an enzyme critical to methanogenesis in archaea. This study aimed to quantify the effects of 3-NOP on CH<sub>4</sub> production (g/d) and yield (g/kg DM intake; DMI) in beef cattle and to evaluate how diet composition influences the mitigation response. A systematic literature review identified 17 eligible in vivo studies (16 peer-reviewed and 1 preprint), yielding 45 treatment means. Treatment effects were expressed as absolute and relative mean differences versus control groups. Predictor variables included 3-NOP dose, 3-NOP dose<sup>2</sup>, DMI, dietary concentration of NDF, CP, starch, fat, and OM, roughage proportion, BW, and dietary inclusion of monensin (yes/no). Four types of models were developed, all including the intercept and 3-NOP dose as fixed predictors, differing as follows: (model 1) optional inclusion of 3-NOP dose<sup>2</sup> when P < 0.10; (model 2) model 1 plus pre-inclusion of NDF concentration; (model 3) pre-inclusion of NDF concentration plus additional predictors (pairwise r ≤ 0.5) that significantly improved model accuracy (P < 0.10); and (model 4) additional predictors selected under the same criteria as model 3, without pre-inclusion of NDF concentration. For models 3 and 4, a maximum of five predictors was considered and evaluated using leave-one-out cross-validation. Across studies, the 3-NOP dose ranged from 32 to 338 mg/kg of DM. On average, 3-NOP reduced CH<sub>4</sub> production by 49.9 ± 28.61 g/d (36.2 ± 24.43%) and CH<sub>4</sub> yield by 5.3 ± 3.61 g/kg DMI (33.2 ± 25.54%). The best models were selected based on biological interpretability, statistical significance, and predictive accuracy (as measured by RMSE) and included 3-NOP dose, dietary concentration of NDF and fat, DMI, and BW as significant predictors (fat only for relative mean difference in CH<sub>4</sub> yield and DMI and BW only for absolute CH<sub>4</sub> production). Mitigation efficacy increased with higher DMI and declined with increasing NDF concentration and BW. Absolute reductions of 53.4 g/d and 5.96 g/kg of DMI, and relative reductions of 37.9% in CH<sub>4</sub> production and 35.5% in CH<sub>4</sub> yield were predicted when moderators were at their mean value (3-NOP dose = 134.4 mg/kg of DM; NDF concentration = 32.8% of DM; DMI of 8.6 kg/d; BW = 429 kg; fat concentration = 3.8% of DM). These results support the effectiveness of 3-NOP in mitigating enteric CH<sub>4</sub> emission in beef cattle and provide quantitative models to be used in assessment tools and greenhouse gas inventory methodology.

animalVol. 20(3)
University of Lethbridge (CA), Agriculture and Agri-Food Canada (CA), Firmenich (Switzerland) (CH), DSM (Switzerland) (CH), University of California, Davis (US), Wageningen University & Research (NL)
Responsible consumption and production
Openalex Percentile: Top 79%
Ruminant Nutrition and Digestive Physiology
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