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Aspects of rumen microbiology central to mechanistic modelling of methane production in cattle
Open accessAbstract
SUMMARY Methane, in addition to being a significant source of energy loss to the animal that can range from 0·02 to 0·12 of gross energy intake, is one of the major greenhouse gases being targeted for reduction by the Kyoto protocol. Thus, one of the focuses of recent research in animal science has been to develop or improve existing methane prediction models in order to increase overall understanding of the system and to evaluate mitigation strategies for methane reduction. Several dynamic mechanistic models of rumen function have been developed which contain hydrogen gas balance sub-models from which methane production can be predicted. These models predict methane production with varying levels of success and in many cases could benefit from further development. Central to methane prediction is accurate volatile fatty acid prediction, representation of the competition for substrate usage within the rumen, as well as descriptions of protozoal dynamics and pH. Most methane models could also largely benefit from an expanded description of lipid metabolism and hindgut fermentation. The purpose of the current review is to identify key aspects of rumen microbiology that could be incorporated into, or have improved representation within, a model of ruminant digestion and environmental emissions.
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Dougherty, J., Kebreab, E., Evered, M., Little, B., Ingham, A. B., Hegarty, R. S., Pacheco, D., & McPhee, M. J. (2017) · The Journal of Agricultural Science · doi:10.1017/s0021859617000429 · Cited by 7
“Exit rates help determine CH4 production rates, as degradation and fermentation increase with slower passage rates until maximum degradation is reached (Ehle et al. 1982; Ellis et al. 2008).”
BackgroundAboagye, I. A., Baron, V. S., Oba, M., Guyader, J., & Beauchemin, K. A. (2019) · Canadian Journal of Animal Science · doi:10.1139/cjas-2018-0188 · Cited by 8
“Diets with higher starch concentration favour propionate production at the expense of acetate (Ellis et al. 2008), which accounts for the decreased acetate proportion and increased propionate proportion observed for central hybrids harvested after frost.”
BackgroundMitigation of Greenhouse Gas Emissions from U.S. Beef and Dairy Production Systems
Place, S. E., Stackhouse-Lawson, K. R., Wang, Q., & Mitloehner, F. M. (2011) · ACS symposium series · doi:10.1021/bk-2011-1072.ch023 · Cited by 7
Low Emission Feed : using feed additives to decrease methane production in dairy cows
Klop, G. (2016) · doi:10.18174/387944 · Cited by 7
Zhou, X., Fu, S., Li, G., Yao, Z., Du, X., Zhang, Y., & Gao, T. (2024) · Frontiers in Veterinary Science · doi:10.3389/fvets.2024.1479535 · Cited by 6
Lopreiato, V., Ferronato, G., Amato, A., Cavallo, C., Trevisi, E., Llobat, L., Chiofalo, V., & Liotta, L. (2024) · Italian Journal of Animal Science · doi:10.1080/1828051x.2024.2445165 · Cited by 6
“For this reason, the incorporation of enriched OC in beef cattle diets could be further explored as a strategy to reduce methane emissions (Ellis et al. 2008).”
UTILIZAÇÃO DE TANINOS COMO ADITIVO NUTRICIONAL NA DIETA DE RUMINANTES
Vieira, L. V., Schmidt, A. P., Barbosa, A. A., Feijó, J. D. O., Brauner, C. C., Rabassa, V. R., Corrêa, M. N., Schmitt, E., & Pino, F. A. B. D. (2020) · Arquivos de Ciências Veterinárias e Zoologia da UNIPAR · doi:10.25110/arqvet.v23i1cont.2020.8040 · Cited by 9
Milk Fatty Acids as Potential Biomarkers of Enteric Methane Emissions in Dairy Cattle: A Review
Youngmark, E. C., & Kraft, J. (2025) · Animals · doi:10.3390/ani15152212 · Cited by 7
“In cattle, roughly 87% of enteric CH 4 is produced in the rumen, with the remaining 13% produced during hindgut fermentation, primarily in the large intestine [17].”
Ration Balancing: A Practical Approach for Reducing Methanogenesis in Tropical Feeding Systems
Garg, M. R., & Sherasia, P. L. (2015) · Springer eBooks · doi:10.1007/978-81-322-2265-1_18 · Cited by 6
Muñoz‐Tamayo, R., Ruiz, B., Blavy, P., Giger‐Reverdin, S., Sauvant, D., Williams, S. R. O., & Moate, P. J. (2022) · Animal - Open Space · doi:10.1016/j.anopes.2021.100003 · Cited by 8
“Examples of opportunities for improvements in rumen models include a better representation of ruminal microbial metabolism (Ellis et al., 2008; Muñoz-Tamayo et al., 2016; Huws et al., 2018), the incorporation of thermodynamic drivers of fermentation (Janssen, 2010; van Lingen et al., 2019), and the…”
BackgroundPrediction of methane production in beef cattle within a mechanistic digestion model
Ellis, J. L., Dijkstra, J., Kebreab, E., Archibeque, S. L., France, J., & Bannink, A. (2011) · Wageningen Academic Publishers eBooks · doi:10.3920/978-90-8686-712-7_20 · Cited by 6
Low emission feed : opportunities to mitigate enteric methane production of dairy cows
Hatew, B. (2015) · doi:10.18174/357155 · Cited by 6
“4 ATP that is subsequently utilized for their maintenance and growth (Ellis et al., 2008).”
BackgroundReiche, A.-M., Tretola, M., Eggerschwiler, L., Pinotti, L., & Dohme‐Meier, F. (2025) · animal · doi:10.1016/j.animal.2025.101477 · Cited by 5
Cottle, D., & Eckard, R. (2014) · Animal Production Science · doi:10.1071/an14464 · Cited by 5
Stoichiometric models for prediction of enteric methane production
de Oliveira, T. S., Fernandes, A. M., Processi, E. F., Baffa, D. F., & Camilo, M. G. (2022) · Bioscience Journal · doi:10.14393/bj-v38n0a2022-53647 · Cited by 5
Rumen microbial genomics: from cells to genes (and back to cells)
Popova, M., Fakih, I., Forano, É., Siegel, A., Muñoz‐Tamayo, R., & Morgavi, D. (2022) · CABI Reviews · doi:10.1079/cabireviews202217025 · Cited by 6
“, VFA absorption) [78], on rumen microbiota representation [79, 80], and the incorporation of thermodynamic, 252 regulation and inhibition factors [81-85].”
BackgroundWatt, L. J., Clark, C., Albornoz, R. I., Krebs, G. L., Petzel, C. E., & Utsumi, S. A. (2021) · Livestock Science · doi:10.1016/j.livsci.2021.104420 · Cited by 5
Influence of Acacia Mearnsii Fodder on Rumen Digestion and Mitigation of Greenhouse Gas Production
Vargas-Ortiz, L. M., Yucailla, V. C. A., Barros-Rodríguez, M. A., Orozco, R. L., Macías-Rodríguez, E., Contreras-Barros, K., & Guishca-Cunuhay, C. (2022) · Animals · doi:10.3390/ani12172250 · Cited by 5
“Methane (CH4), carbon dioxide (CO2), and nitrous oxide (N2O) are the main GHGs generated by anaerobic fermentation in the rumen [5], causing considerable energy losses in the animal, ranging from 2–12% of the consumed energy [6,7], which causes environmental deterioration and decreased animal production [8,9].”
BackgroundNutritional Approaches to Reduce Enteric Methane Emission from Ruminants
Lind, V., Schwarm, A., Mele, M. L., Cappucci, A., Foggi, G., Sızmaz, Ö., Tsiplakou, E., Atzori, A. S., Mullem, J. V., & Peiren, N. (2023) · Smart animal production · doi:10.1007/978-3-031-19730-7_4 · Cited by 7
Carmichael, M. N., Dycus, M. M., Lourenco, J. M., Welch, C. B., Davis, D. B., Krause, T., Rothrock, M. J., Fluharty, F. L., Pringle, T. D., & Callaway, T. R. (2024) · Microorganisms · doi:10.3390/microorganisms12030536 · Cited by 6
Nitrate/nitrite poisoning in dairy cattle from the Midwestern Minas Gerais, Brazil
Gontijo, D. A., Borges, A. A., & Wouters, F. (2017) · Ciência Rural · doi:10.1590/0103-8478cr20170373 · Cited by 5
Vonk, J., van der Sluis, S. M., Bannink, A., van Bruggen, C., Groenestein, C. M., Huijsmans, J. F. M., van der Kolk, J. W. H., Lagerwerf, L. A., Luesink, H. H., Voshaar, S. V. O., et al. (2018) · doi:10.18174/443801 · Cited by 5
“NEMA is also used to estimate emissions of methane (CH4) from enteric fermentation and manure management, particulate matter (PM) from manure management and agricultural soils and carbon dioxide (CO2) from liming.”
BackgroundInfluentialMinogue, C. T., Boland, T. M., Etxeberria, I., Godwin, F., Walsh, N., Markiewicz‐Kęszycka, M., Mirzapour‐Kouhdasht, A., García‐Vaquero, M., Dineen, M., & McKay, Z. C. (2025) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2025.116500 · Cited by 4
Gouveia, J. J. D. S., Bethancourt-Garcia, J. A., Lino, R. A. A., de Souza, J. M. C., de Moraes, E. H. B. K., Silva, L. F. C. E., Tomich, T. R., & Batista, E. D. (2024) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2024.115930 · Cited by 4
Minviel, J., Benoît, M., & Latruffe, L. (2024) · Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · doi:10.1111/cjag.12384 · Cited by 4
Woodmartin, S., McGovern, F., Smith, P. E., Boland, T. M., McGrane, L., Monaghan, A., Dunne, E., & Creighton, P. (2025) · Journal of Animal Science · doi:10.1093/jas/skaf139 · Cited by 4
“Although the difference was slight, this may be attributed to the reduced concentration of structural carbohydrates in chicory and white clover, associated with faster substrate degradation and a more rapid ruminal passage rate (Ellis et al., 2008; Minneé et al., 2017; Niderkorn et al., 2017).”
The Role of Feed Additives in Enhancing Ruminant Performance and Sustainability
Serbester, U. (2025) · Veterinary medicine and science · doi:10.5772/intechopen.1010868 · Cited by 4
Guadagnin, A. R., Matiello, J. P., Ribeiro, R. S., Pereira, L. G. R., Machado, F. S., Tomich, T. R., Campos, M. M., Heisler, G., & Fischer, V. (2023) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2023.103628 · Cited by 4
Feasible Strategies for Enteric Methane Mitigation from Dairy Animals
Tyagi, N., Mishra, D. B., Vinay, V. V., & Kumar, S. (2022) · Soil biology · doi:10.1007/978-3-030-97291-2_19 · Cited by 4
Metadata
- Authors
- ELLIS, J. L., DIJKSTRA, J., KEBREAB, E., BANNINK, A., ODONGO, N. E., McBRIDE, B. W., & FRANCE, J.
- Affiliations
- University of Guelph (CA)
- Wageningen University & Research (NL)
- University of Manitoba (CA)
- Agriculture and Agri-Food Canada (CA)
- Corresponding author
- ELLIS, J. L.
- Venue
- The Journal of Agricultural Science
- Publisher
- Cambridge University Press (CUP)
- Published
- 2008-03-26
- Volume
- 146
- Issue
- 2
- Pages
- 213-233
- ISSN
- 0021-8596 (ISSN-L)
- 1469-5146
- OpenAlex
- W2162352287
- Cited by
- 274
- References
- 153
- Citations by year
- 2026: 19 · 2025: 17 · 2024: 22 · 2023: 12 · 2022: 12 · 2021: 22 · 2020: 7 · 2019: 10 · 2018: 15 · 2017: 13 · 2016: 24 · 2015: 16 · 2014: 24 · 2013: 11 · 2012: 13
- FWCI
- 21.69
- Type
- journal article
- Language
- en
- Open access
- green
- research.wur.nl
- Locations
- The Journal of Agricultural Science (publishedVersion)
- Socio-Environmental Systems Modeling (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Ruminant Nutrition and Digestive Physiology
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Anaerobic Digestion and Biogas Production
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Nutrition and Physiology
- Keywords
- rumen microbiology, methane production, cattle, mechanistic modeling, rumen fermentation, volatile fatty acids, protozoa, rumen pH, lipid metabolism, hindgut fermentation, greenhouse gas emissions reduction, ruminant digestion
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