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The Role of Productivity in Improving the Environmental Sustainability of Ruminant Production Systems
Abstract
The global livestock industry is charged with providing sufficient animal source foods to supply the global population while improving the environmental sustainability of animal production. Improved productivity within dairy and beef systems has demonstrably reduced resource use and greenhouse gas emissions per unit of food over the past century through the dilution of maintenance effect. Further environmental mitigation effects have been gained through the current use of technologies and practices that enhance milk yield or growth in ruminants; however, the social acceptability of continued intensification and use of productivity-enhancing technologies is subject to debate. As the environmental impact of food production continues to be a significant issue for all stakeholders within the field, further research is needed to ensure that comparisons among foods are made based on both environmental impact and nutritive value to truly assess the sustainability of ruminant products.
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“Grain finishing typically leads to much higher growth rates.”
From Carbon opportunity cost increases carbon footprint advantage of grain-finished beef (2023) · cites this paper as [8]
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“As a result, proportionally less energy is expended on maintenance rather than growth, such that inputs and emissions per unit of beef is lower [8].”
From Carbon opportunity cost increases carbon footprint advantage of grain-finished beef (2023) · cites this paper as [8]
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Georges, M., Charlier, C., & Hayes, B. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-018-0082-2 · Cited by 384
Managing Grazing to Restore Soil Health, Ecosystem Function, and Ecosystem Services
Teague, R., & Kreuter, U. P. (2020) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2020.534187 · Cited by 408
Greenwood, P. L. (2021) · animal · doi:10.1016/j.animal.2021.100295 · Cited by 316
A 100-Year Review: Regulation of nutrient partitioning to support lactation
Baumgard, L. H., Collier, R. J., & Bauman, D. E. (2017) · Journal of Dairy Science · doi:10.3168/jds.2017-13242 · Cited by 229
Self-citationHarnessing the genetics of the modern dairy cow to continue improvements in feed efficiency
VandeHaar, M. J., Armentano, L. E., WEIGEL, K. A., Spurlock, D. M., Tempelman, R. J., & Veerkamp, R. F. (2016) · Journal of Dairy Science · doi:10.3168/jds.2015-10352 · Cited by 215
Metadata
- Authors
- Capper, J. L., & Bauman, D. E.
- Affiliations
- Washington State University (US)
- Cornell University (US)
- Venue
- Annual Review of Animal Biosciences
- Publisher
- Annual Reviews
- Published
- 2013-01-01
- Volume
- 1
- Issue
- 1
- Pages
- 469-489
- ISSN
- 2165-8102 (ISSN-L)
- 2165-8110
- OpenAlex
- W2105559858
- Cited by
- 121
- References
- 112
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 12 · 2023: 11 · 2022: 6 · 2021: 12 · 2020: 11 · 2019: 10 · 2018: 10 · 2017: 6 · 2016: 11 · 2015: 5 · 2014: 9 · 2013: 1
- FWCI
- 0.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Animal Biosciences (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Ecology › Agriculture Sustainability and Environmental Impact
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Sustainable Agricultural Systems Analysis
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Ruminant Nutrition and Digestive Physiology
- Keywords
- ruminant production, environmental sustainability, productivity, dairy production systems, greenhouse gas emissions, resource efficiency, maintenance effects, intensification, animal source foods, environmental impact of food production, milk yield, growth performance
- MeSH terms
- Animals, Animal Husbandry, Conservation of Natural Resources, Environment, Food Supply, Ruminants, Global Health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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