The DOI matches its Crossref record; 225 of the 225 references it cites were found in a registry or an index.
Invited review: Enteric methane in dairy cattle production: Quantifying the opportunities and impact of reducing emissions
Open accessAbstract
Many opportunities exist to reduce enteric methane (CH4) and other greenhouse gas (GHG) emissions per unit of product from ruminant livestock. Research over the past century in genetics, animal health, microbiology, nutrition, and physiology has led to improvements in dairy production where intensively managed farms have GHG emissions as low as 1 kg of CO2 equivalents (CO2e)/kg of energy-corrected milk (ECM), compared with >7 kg of CO2 e/kg of ECM in extensive systems. The objectives of this review are to evaluate options that have been demonstrated to mitigate enteric CH4 emissions per unit of ECM (CH4/ECM) from dairy cattle on a quantitative basis and in a sustained manner and to integrate approaches in genetics, feeding and nutrition, physiology, and health to emphasize why herd productivity, not individual animal productivity, is important to environmental sustainability. A nutrition model based on carbohydrate digestion was used to evaluate the effect of feeding and nutrition strategies on CH4/ECM, and a meta-analysis was conducted to quantify the effects of lipid supplementation on CH4/ECM. A second model combining herd structure dynamics and production level was used to estimate the effect of genetic and management strategies that increase milk yield and reduce culling on CH4/ECM. Some of these approaches discussed require further research, but many could be implemented now. Past efforts in CH4 mitigation have largely focused on identifying and evaluating CH4 mitigation approaches based on nutrition, feeding, and modifications of rumen function. Nutrition and feeding approaches may be able to reduce CH4/ECM by 2.5 to 15%, whereas rumen modifiers have had very little success in terms of sustained CH4 reductions without compromising milk production. More significant reductions of 15 to 30% CH4/ECM can be achieved by combinations of genetic and management approaches, including improvements in heat abatement, disease and fertility management, performance-enhancing technologies, and facility design to increase feed efficiency and life-time productivity of individual animals and herds. Many of the approaches discussed are only partially additive, and all approaches to reducing enteric CH4 emissions should consider the economic impacts on farm profitability and the relationships between enteric CH4 and other GHG.
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“Animal breeding techniques are to genetically select highly productive animals with less GHG emission intensity,134 thereby reducing the number of animals required to produce the same amount of food.”
From Technologies and perspectives for achieving carbon neutrality (2021) · cites this paper as [134]
Citations
Cites
Hungate, R. E. (2013) · Elsevier eBooks · doi:10.1016/c2013-0-12555-x · Cited by 3,060
Johnson, K. A., & Johnson, D. E. (1995) · Journal of Animal Science · doi:10.2527/1995.7382483x · Cited by 2,714 · cited 5×
“Very low CH4 emissions (2–3% GEI) are reported from cattle fed low- (10–30%) forage diets, such as beef finishing rations (Johnson and Johnson, 1995).”
BackgroundInfluential(2013) · Cited by 2,540
Economic Losses from Heat Stress by US Livestock Industries
St-Pierre, N. R., Cobanov, B., & Schnitkey, G. (2003) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(03)74040-5 · Cited by 1,755
FAO (Food and Agriculture Organization of the United Nations)
Greppi, E. (1981) · Institutional Research Information System University of Turin (University of Turin) · Cited by 1,692
Effects of Diet on Short-Term Regulation of Feed Intake by Lactating Dairy Cattle
Allen, M. S. (2000) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(00)75030-2 · Cited by 1,550
Reproductive Loss in High-Producing Dairy Cattle: Where Will It End?
Lucy, M. C. (2001) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(01)70158-0 · Cited by 1,492
Heat stress in lactating dairy cows: a review
Kadzere, C. T., Murphy, M. R., Silanikove, N., & Maltz, E. (2002) · Livestock Production Science · doi:10.1016/s0301-6226(01)00330-x · Cited by 1,486
Methane production by ruminants: its contribution to global warming
Moss, A. R., Jouany, J.-P., & Newbold, J. (2000) · Annales de Zootechnie · doi:10.1051/animres:2000119 · Cited by 1,414
Metabolic, Phylogenetic, and Ecological Diversity of the Methanogenic Archaea
Liu, Y., & Whitman, W. B. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1419.019 · Cited by 1,346
Research works printed but not linked: 4
- Baldwin, 1983, Rumen metabolism, J. Anim. Sci., 57, 461
- Burhans, 2003, Factors associated with transition cow ketosis incidence in selected New England herds, J. Dairy Sci., 86, 247
- Machmüller, A., M. Tavendale, J. Lee, H. Clark, and L. Meagher. 2007. Review of inhibitors of methane production. Chapter 2 in Rumen Ecology, Pastoral Greenhouse Gas Research Consortium 2002–2007 Review, New Zealand. Accessed June 27, 2013. http://www.pggrc.co.nz/Portals/0/annual%20reports/PGgRc_5yearfull%20chapter%202.pdf
- Utsumi, 2011, Whole herd enteric methane emission estimates in three contrasting dairy systems, J. Dairy Sci., 94, 607
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Technologies and perspectives for achieving carbon neutrality
Wang, F., Harindintwali, J. D., Yuan, Z., Wang, M., Wang, F., Li, S., Yin, Z., Huang, L., Fu, Y., Li, L., et al. (2021) · The Innovation · doi:10.1016/j.xinn.2021.100180 · Cited by 1,330
Cultivation and sequencing of rumen microbiome members from the Hungate1000 Collection
Hungate1000 project collaborators, Seshadri, R., Leahy, S. C., Attwood, G. T., Teh, K. H., Lambie, S. C., Cookson, A. L., Eloe-Fadrosh, E. A., Pavlopoulos, G. A., Hadjithomas, M., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4110 · Cited by 624
Hristov, A. N., Oh, J., Giallongo, F., Frederick, T. W., Harper, M. T., Weeks, H. L., Branco, A. F., Moate, P. J., Deighton, M. H., Williams, S. R. O., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1504124112 · Cited by 496
The 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
Roehe, R., Dewhurst, R. J., Duthie, C.-A., Rooke, J. A., McKain, N., Ross, D. W., Hyslop, J. J., Waterhouse, A., Freeman, T. C., Watson, M., et al. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1005846 · Cited by 359
Metadata
- Authors
- Knapp, J. R., Laur, G. L., Vadas, P. A., Weiss, W. P., & Tricarico, J. M.
- Affiliations
- Agricultural Research Service (US)
- The Ohio State University (US)
- Venue
- Journal of Dairy Science
- Publisher
- American Dairy Science Association
- Published
- 2014-06
- Volume
- 97
- Issue
- 6
- Pages
- 3231-3261
- ISSN
- 0022-0302 (ISSN-L)
- OpenAlex
- W2039764894
- Cited by
- 1,002
- References
- 225
- Citations by year
- 2026: 76 · 2025: 102 · 2024: 120 · 2023: 93 · 2022: 111 · 2021: 96 · 2020: 84 · 2019: 70 · 2018: 90 · 2017: 62 · 2016: 59 · 2015: 30 · 2014: 9
- FWCI
- 9.68
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Dairy Science (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- Innovation Center for US Dairy
- Topics
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Ruminant Nutrition and Digestive Physiology
- Physical Sciences › Environmental Science › Ecology › Agriculture Sustainability and Environmental Impact
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Sustainable Agricultural Systems Analysis
- Keywords
- enteric methane, dairy cattle, greenhouse gas emissions, methane mitigation, energy-corrected milk, lipid supplementation, carbohydrate digestion, rumen modifiers, herd productivity, genetic improvement, culling, feed efficiency, farm profitability, environmental sustainability
- MeSH terms
- Air Pollutants, Air Pollution, Animals, Animal Feed, Cattle, Dairying, Dietary Carbohydrates, Digestion, Eating, Environment, Female, Fertility, Intestinal Mucosa, Methane, Milk, Ruminants, Livestock
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