The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Nutritional management for enteric methane abatement: a review
Abstract
A variety of nutritional management strategies that reduce enteric methane (CH4) production are discussed. Strategies such as increasing the level of grain in the diet, inclusion of lipids and supplementation with ionophores (>24 ppm) are most likely to be implemented by farmers because there is a high probability that they reduce CH4 emissions in addition to improving production efficiency. Improved pasture management, replacing grass silage with maize silage and using legumes hold some promise for CH4 mitigation but as yet their impact is not sufficiently documented. Several new strategies including dietary supplementation with saponins and tannins, selection of yeast cultures and use of fibre-digesting enzymes may mitigate CH4, but these still require extensive research. Most of the studies on reductions in CH4 from ruminants due to diet management are short-term and focussed only on changes in enteric emissions. Future research must examine long-term sustainability of reductions in CH4 production and impacts on the entire farm greenhouse gas budget.
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Citations
Cites
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Prediction of the amount of methane produced by ruminants
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Mitigation strategies to reduce enteric methane emissions from dairy cows: Update review
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Antimicrobial properties of plant secondary metabolites
Wallace, R. J. (2004) · Proceedings of the Nutrition Society · doi:10.1079/pns2004393 · Cited by 491
McGinn, S. M., Beauchemin, K. A., Coates, T., & Colombatto, D. (2004) · Journal of Animal Science · doi:10.2527/2004.82113346x · Cited by 476
Self-citationCarulla, J. E., Kreuzer, M., Machmüller, A., & Hess, H. D. (2005) · Australian Journal of Agricultural Research · doi:10.1071/ar05022 · Cited by 447
Self-citationUse of condensed tannin extract from quebracho trees to reduce methane emissions from cattle1
Beauchemin, K. A., McGinn, S. M., Martinez, T. F., & McAllister, T. A. (2007) · Journal of Animal Science · doi:10.2527/jas.2006-686 · Cited by 413
Self-citationMethane Production in Dairy Cows
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Use of exogenous fibrolytic enzymes to improve feed utilization by ruminants
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Cited by
Knapp, J. R., Laur, G. L., Vadas, P. A., Weiss, W. P., & Tricarico, J. M. (2014) · Journal of Dairy Science · doi:10.3168/jds.2013-7234 · Cited by 1,002
Manipulation of rumen fermentation and methane production with plant secondary metabolites
Bodas, R., Prieto, N., García-González, R., Andrés, S., Giráldez, F. J., & López, S. (2012) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2012.07.010 · Cited by 437
Patra, A. K., & Yu, Z. (2012) · Applied and Environmental Microbiology · doi:10.1128/aem.00309-12 · Cited by 416
Beauchemin, K. A., Henry Janzen, H., Little, S. M., McAllister, T. A., & McGinn, S. M. (2010) · Agricultural Systems · doi:10.1016/j.agsy.2010.03.008 · Cited by 397
Self-citationThe ruminal microbiome associated with methane emissions from ruminant livestock
Tapio, I., Snelling, T. J., Strozzi, F., & Wallace, R. J. (2017) · Journal of Animal Science and Biotechnology · doi:10.1186/s40104-017-0141-0 · Cited by 391
Metadata
- Authors
- Beauchemin, K. A., Kreuzer, M., O'Mara, F., & McAllister, T. A.
- Venue
- Australian Journal of Experimental Agriculture
- Publisher
- CSIRO Publishing
- Published
- 2008
- Volume
- 48
- Issue
- 2
- Pages
- 21
- ISSN
- 0816-1089 (ISSN-L)
- OpenAlex
- W2171137093
- Cited by
- 1,162
- References
- 52
- FWCI
- 71.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- Beauchemin, K. A., Kreuzer, M., O'Mara, F., & McAllister, T. A. (2008). Nutritional management for enteric methane abatement: a review. Australian Journal of Experimental Agriculture. https://doi.org/10.1071/ea07199
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
