Search from over 60,000 research works

Advanced Search

Feed additives for methane mitigation: recommendations for testing enteric methane-mitigating feed additives in ruminant studies

[thumbnail of Hristov et al. 2025_JDS.pdf]
Preview
Hristov et al. 2025_JDS.pdf - Published Version (1MB) | Preview
Available under license: Creative Commons Attribution
[thumbnail of Hristov et al.-Manuscript.R2-Aug'24 (Centaur).docx]
Restricted to Repository staff only
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Hristov, A. N., Bannink, A., Battelli, M., Belanche, A., Cajarville Sanz, M.C., Fernandez-Turren, G., Garcia, F., Jonker, A., Kenny, D. A., Lind, V., Meale, S. J., Zilio, D. M., Munoz, C., Pacheco, D., Peiren, N., Ramin, M., Rapetti, L., Schwarm, A., Stergiadis, S. orcid id iconORCID: https://orcid.org/0000-0002-7293-182X, Theodoridou, K., Ungerfeld, E. M., van Gastelen, S., Yanez-Ruiz, D. R., Waters, S. M. and Lund, P. (2025) Feed additives for methane mitigation: recommendations for testing enteric methane-mitigating feed additives in ruminant studies. Journal of Dairy Science, 108 (1). pp. 322-355. ISSN 0022-0302 doi: 10.3168/jds.2024-25050

Abstract/Summary

There is a need for rigorous and scientifically-based testing standards for existing and new enteric methane mitigation technologies, including antimethanogenic feed additives (AMFA). The current review provides guidelines for conducting and analyzing data from experiments with ruminants intended to test the antimethanogenic and production effects of feed additives. Recommendations include study design and statistical analysis of the data, dietary effects, associative effect of AMFA with other mitigation strategies, appropriate methods for measuring methane emissions, production and physiological responses to AMFA, and their effects on animal health and product quality. Animal experiments should be planned based on clear hypotheses, and experimental designs must be chosen to best answer the scientific questions asked, with pre-experimental power analysis and robust post-experimental statistical analyses being important requisites. Long-term studies for evaluating AMFA are currently lacking and are highly needed. Experimental conditions should be representative of the production system of interest, so results and conclusions are applicable and practical. Methane-mitigating effects of AMFA may be combined with other mitigation strategies to explore additivity and synergism, as well as trade-offs, including relevant manure emissions, and these need to be studied in appropriately designed experiments. Methane emissions can be successfully measured, and efficacy of AMFA determined, using respiration chambers, the sulfur hexafluoride method, and the GreenFeed system. Other techniques, such as hood and face masks, can also be used in short-term studies, ensuring they do not significantly affect feed intake, feeding behavior, and animal production. For the success of an AMFA, it is critically important that representative animal production data are collected, analyzed, and reported. In addition, evaluating the effects of AMFA on nutrient digestibility, animal physiology, animal health and reproduction, product quality, and how AMFA interact with nutrient composition of the diet is necessary and should be conducted at various stages of the evaluation process. The authors emphasize that enteric methane mitigation claims should not be made until the efficacy of AMFA is confirmed in animal studies designed and conducted considering the guidelines provided herein.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/117913
Item Type Article
Refereed Yes
Divisions Life Sciences > School of Agriculture, Policy and Development > Department of Animal Sciences
Publisher American Dairy Science Association
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar