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The potential of milk fatty acids as biomarkers for methane emissions in dairy cows: a quantitative multi-study survey of literature data

Joaquin Castro Montoya, S De Campeneere, Bernard De Baets UGent and Veerle Fievez UGent (2016) JOURNAL OF AGRICULTURAL SCIENCE. 154(3). p.515-531
abstract
Relationships between milk fatty acids (MFA) and methane (CH4) emissions from dairy cattle were explored. Data from a total of 12 studies including 39 treatments were gathered in the database. Methane was expressed as daily emissions (g/d), relative to dry matter intake (g/kg), milk production (g/kg milk) and body weight (g/kg). The univariate correlations between MFA and CH4 were based on absolute means and on relative changes of each treatment compared with its corresponding control. Saturated fatty acids, odd- and branched-chain FA and long-chain poly-unsaturated FA were positively related to CH4, while cis- and trans-isomers of mono-unsaturated FA were negatively related to CH4. However, most of the coefficients of determination (R-2) of these univariate regressions ranged from 0.2 to 0.7, indicating that individual MFA only explain a limited part of the variation in CH4. Significant relationships between MFA and CH4 varied depending on the unit in which emissions were expressed. Similarly, some MFA seemed more suited to predict relative changes in CH4 emissions rather than absolute amounts. The present findings contribute to the exploration of the potential of MFA as biomarkers for CH4 emissions from dairy cattle, although differences between studies in the detail of MFA analysis and hence the number of MFA reported in the current study, complicates this kind of literature survey.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (review)
publication status
published
subject
keyword
COCONUT OIL, LACTATING COWS, RUMINAL FERMENTATION, CATTLE, DIET, OUTPUT, PERFORMANCE
journal title
JOURNAL OF AGRICULTURAL SCIENCE
J. Agric. Sci.
volume
154
issue
3
pages
515 - 531
Web of Science type
Article
Web of Science id
000371707100010
JCR category
AGRICULTURE, MULTIDISCIPLINARY
JCR impact factor
1.291 (2016)
JCR rank
14/56 (2016)
JCR quartile
1 (2016)
ISSN
0021-8596
DOI
10.1017/S0021859615001215
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
7175016
handle
http://hdl.handle.net/1854/LU-7175016
date created
2016-04-05 10:47:58
date last changed
2016-12-19 15:45:38
@article{7175016,
  abstract     = {Relationships between milk fatty acids (MFA) and methane (CH4) emissions from dairy cattle were explored. Data from a total of 12 studies including 39 treatments were gathered in the database. Methane was expressed as daily emissions (g/d), relative to dry matter intake (g/kg), milk production (g/kg milk) and body weight (g/kg). The univariate correlations between MFA and CH4 were based on absolute means and on relative changes of each treatment compared with its corresponding control. Saturated fatty acids, odd- and branched-chain FA and long-chain poly-unsaturated FA were positively related to CH4, while cis- and trans-isomers of mono-unsaturated FA were negatively related to CH4. However, most of the coefficients of determination (R-2) of these univariate regressions ranged from 0.2 to 0.7, indicating that individual MFA only explain a limited part of the variation in CH4. Significant relationships between MFA and CH4 varied depending on the unit in which emissions were expressed. Similarly, some MFA seemed more suited to predict relative changes in CH4 emissions rather than absolute amounts. The present findings contribute to the exploration of the potential of MFA as biomarkers for CH4 emissions from dairy cattle, although differences between studies in the detail of MFA analysis and hence the number of MFA reported in the current study, complicates this kind of literature survey.},
  author       = {Castro Montoya, Joaquin and De Campeneere, S and De Baets, Bernard and Fievez, Veerle},
  issn         = {0021-8596},
  journal      = {JOURNAL OF AGRICULTURAL SCIENCE},
  keyword      = {COCONUT OIL,LACTATING COWS,RUMINAL FERMENTATION,CATTLE,DIET,OUTPUT,PERFORMANCE},
  language     = {eng},
  number       = {3},
  pages        = {515--531},
  title        = {The potential of milk fatty acids as biomarkers for methane emissions in dairy cows: a quantitative multi-study survey of literature data},
  url          = {http://dx.doi.org/10.1017/S0021859615001215},
  volume       = {154},
  year         = {2016},
}

Chicago
Castro Montoya, Joaquin, S De Campeneere, Bernard De Baets, and Veerle Fievez. 2016. “The Potential of Milk Fatty Acids as Biomarkers for Methane Emissions in Dairy Cows: a Quantitative Multi-study Survey of Literature Data.” Journal of Agricultural Science 154 (3): 515–531.
APA
Castro Montoya, J., De Campeneere, S., De Baets, B., & Fievez, V. (2016). The potential of milk fatty acids as biomarkers for methane emissions in dairy cows: a quantitative multi-study survey of literature data. JOURNAL OF AGRICULTURAL SCIENCE, 154(3), 515–531.
Vancouver
1.
Castro Montoya J, De Campeneere S, De Baets B, Fievez V. The potential of milk fatty acids as biomarkers for methane emissions in dairy cows: a quantitative multi-study survey of literature data. JOURNAL OF AGRICULTURAL SCIENCE. 2016;154(3):515–31.
MLA
Castro Montoya, Joaquin, S De Campeneere, Bernard De Baets, et al. “The Potential of Milk Fatty Acids as Biomarkers for Methane Emissions in Dairy Cows: a Quantitative Multi-study Survey of Literature Data.” JOURNAL OF AGRICULTURAL SCIENCE 154.3 (2016): 515–531. Print.