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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

Published online by Cambridge University Press:  20 January 2016

J. M. CASTRO-MONTOYA ,
S. DE CAMPENEERE ,
B. DE BAETS  and
V. FIEVEZ
J. M. CASTRO-MONTOYA
Affiliation:
Institute for Agricultural and Fisheries Research, Animal Sciences Unit, Scheldeweg 68, Melle 9090, Belgium Laboratory for Animal Nutrition and Animal Product Quality, Ghent University, Proefhoevestraat 10, Melle 9090, Belgium
S. DE CAMPENEERE
Affiliation:
Institute for Agricultural and Fisheries Research, Animal Sciences Unit, Scheldeweg 68, Melle 9090, Belgium
B. DE BAETS
Affiliation:
KERMIT, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure links 653, Ghent 9000, Belgium
V. FIEVEZ*
Affiliation:
Laboratory for Animal Nutrition and Animal Product Quality, Ghent University, Proefhoevestraat 10, Melle 9090, Belgium
*
*To whom all correspondence should be addressed. Email: veerle.fievez@ugent.be
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Summary

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 (R2) 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.

Type
Animal Review Paper
Information
The Journal of Agricultural Science , Volume 154 , Issue 3 , April 2016 , pp. 515 - 531
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Copyright
Copyright © Cambridge University Press 2016 

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