↓ Skip to main content

Invited review: Enteric methane in dairy cattle production: Quantifying the opportunities and impact of reducing emissions

Overview of attention for article published in Journal of Dairy Science, April 2014
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
blogs
3 blogs
policy
6 policy sources
twitter
11 X users
patent
1 patent

Citations

dimensions_citation
629 Dimensions

Readers on

mendeley
1190 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Invited review: Enteric methane in dairy cattle production: Quantifying the opportunities and impact of reducing emissions
Published in
Journal of Dairy Science, April 2014
DOI 10.3168/jds.2013-7234
Pubmed ID
Authors

J.R. Knapp, G.L. Laur, P.A. Vadas, W.P. Weiss, J.M. Tricarico

Abstract

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 1kg 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 <1%
United Kingdom 3 <1%
United States 2 <1%
Finland 2 <1%
Germany 1 <1%
Pakistan 1 <1%
Australia 1 <1%
Austria 1 <1%
Netherlands 1 <1%
Other 4 <1%
Unknown 1170 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 206 17%
Researcher 162 14%
Student > Ph. D. Student 160 13%
Student > Bachelor 104 9%
Student > Doctoral Student 79 7%
Other 178 15%
Unknown 301 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 472 40%
Environmental Science 86 7%
Veterinary Science and Veterinary Medicine 76 6%
Engineering 42 4%
Biochemistry, Genetics and Molecular Biology 27 2%
Other 140 12%
Unknown 347 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 65. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 August 2023.
All research outputs
#653,523
of 25,371,288 outputs
Outputs from Journal of Dairy Science
#74
of 11,136 outputs
Outputs of similar age
#5,862
of 241,050 outputs
Outputs of similar age from Journal of Dairy Science
#1
of 77 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,136 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 241,050 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.