A dynamic mechanistic model of lactic acid metabolism in the rumen
Open accessAbstract
Current feed evaluation systems for ruminants are too imprecise to describe diets in terms of their acidosis risk. The dynamic mechanistic model described herein arises from the integration of a lactic acid (La) metabolism module into an extant model of whole-rumen function. The model was evaluated using published data from cows and sheep fed a range of diets or infused with various doses of La. The model performed well in simulating peak rumen La concentrations (coefficient of determination = 0.96; root mean square prediction error = 16.96% of observed mean), although frequency of sampling for the published data prevented a comprehensive comparison of prediction of time to peak La accumulation. The model showed a tendency for increased La accumulation following feeding of diets rich in nonstructural carbohydrates, although less-soluble starch sources such as corn tended to limit rumen La concentration. Simulated La absorption from the rumen remained low throughout the feeding cycle. The competition between bacteria and protozoa for rumen La suggests a variable contribution of protozoa to total La utilization. However, the model was unable to simulate the effects of defaunation on rumen La metabolism, indicating a need for a more detailed description of protozoal metabolism. The model could form the basis of a feed evaluation system with regard to rumen La metabolism.
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The development of rumen models has been deployed mainly via consolidation of four model structures (Molly, Karoline, Cornell, and Dijkstra) that have been improved over the years to enhance understanding of rumen function.
“The development of rumen models has been deployed mainly via the consolidation of four model structures (Molly, Karoline, Cornell, and Dijkstra models) that have been improved over the years to enhance the understanding of rumen function (Mills et al., 2014; Huhtanen et al., 2015; Van Amburgh et al., 2015; Gregorini et al., 2016).”
From Addressing global ruminant agricultural challenges through understanding the rumen microbiome: past, present, and future (2018) · cites this paper as Mills et al., 2014
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- Authors
- Mills, J. A. N., Crompton, L. A., Ellis, J. L., Dijkstra, J., Bannink, A., Hook, S., Benchaar, C., & France, J.
- Affiliations
- University of Reading (GB)
- University of Guelph (CA)
- Wageningen University & Research (NL)
- Agriculture and Agri-Food Canada (CA)
- Corresponding author
- Ellis, J.L.
- Venue
- Journal of Dairy Science
- Publisher
- American Dairy Science Association
- Published
- 2014-04
- Volume
- 97
- Issue
- 4
- Pages
- 2398-2414
- ISSN
- 0022-0302 (ISSN-L)
- OpenAlex
- W2011606045
- Cited by
- 17
- References
- 84
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 2 · 2022: 2 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 3 · 2014: 1
- FWCI
- 3.32
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Dairy Science (publishedVersion)
- PubMed (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Department for Environment, Food and Rural Affairs (LS3656)
- European Union (FP7-266018 and FP7-211606)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Ruminant Nutrition and Digestive Physiology
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Nutrition and Physiology
- Physical Sciences › Engineering › Building and Construction › Anaerobic Digestion and Biogas Production
- Keywords
- lactate metabolism, rumen, rumen acidosis, non-structural carbohydrates, starch solubility, rumen protozoa, rumen bacteria, defaunation, feed analysis, dairy cattle, sheep
- MeSH terms
- Animals, Animal Feed, Cattle, Diet, Dietary Carbohydrates, Models, Biological, Rumen, Sensitivity and Specificity, Sheep, Lactic Acid
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