Using milk Fourier-transform infrared spectra and gas chromatography-based milk fatty acid profiles to predict methane emission of dairy cows

S. van Gastelen, H. Mollenhorst, E.C. Antunes Fernandes, K.A. Hettinga, G.G. van Burgsteden, J. Dijkstra, J.L.W. Rademaker

Research output: Contribution to conferenceOtherAcademic

Abstract

We compared the prediction potential of gas chromatography-based milk fatty acids (MFA) and milk Fourier-transform infrared spectroscopy (FTIR) for methane (CH4) emissions of dairy cows. Data from 9 experiments with lactating Holstein-Friesian cows with a total of 30 dietary treatments and 218 observations were used. Methane emissions were measured in climate respiration chambers. Multivariate MFA-based and FTIR-based CH4 prediction models were developed and, subsequently, evaluated with the concordance correlation coefficient (CCC) analysis. The MFA-based CH4 prediction models estimated CH4 production (g/d), yield (g/kg dry matter intake), and intensity (g/kg fat- and protein-corrected milk) with a CCC of 0.72, 0.59, and 0.77, respectively. The FTIR-based CH4 prediction models estimated CH4 production, yield, and intensity with a CCC of 0.52, 0.40, and 0.72, respectively. These results indicate that for all CH4 emission units, but particularly for CH4 production and yield, the MFA-based prediction models described a greater part of the observed variation in CH4 emission than FTIR-based prediction models.
Original languageEnglish
Publication statusPublished - 11 Oct 2017
EventMethagene final meeting - Caserta, Italy
Duration: 11 Oct 201713 Oct 2017

Conference

ConferenceMethagene final meeting
CountryItaly
CityCaserta
Period11/10/1713/10/17

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