Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 366504
Title Proportions of rumen volatile fatty acids in relation to milk fatty acid profiles
Author(s) Vlaeminck, B.; Fievez, V.; Dhanoa, M.S.; Vuuren, A.M. van; Dewhurst, R.J.
Source Communications in agricultural and applied biological sciences 68 (2003)3. - ISSN 1379-1176 - p. 325 - 328.
Department(s) Livestock Research
Publication type Refereed Article in a scientific journal
Publication year 2003
Abstract Three experiments were conducted in order to develop and validate principal component (PC) regressions for predicting rumen volatile fatty acid (VFA) proportions, based on a combination of milk odd and branched chain fatty acids (MOBCFA). Grass- or legume silage and concentrate-based diets were fed to rumen fistulated Holstein-Friesian dairy cows. The diets differed in silage type (Expt. 1), amount of protected starch (Expt. 2) or varied in the forage to concentrate ratio (F/C). Each experimental period lasted for 28 days. Rumen fluid and milk samples were collected at regular intervals for the determination of VFA content. It was shown that equations based on OBCFA explained 30-75% of the variation in VFA. Compared to predictions based on MOBCFA, only predictions of propionic (HPR) and butyric (BUT) acids based on milk fatty acids showed higher coefficients of determination. Prediction of BUT was the least accurate, while there were relatively accurate predictions for HPR and acetic acid (HAC). Lower values for mean square prediction error (MSPE) suggest better HAC and HPR predictions by regressions based on MOBCFA than on MFA. These results confirm the potential of MFA, particularly MOBCFA, to predict rumen VFA proportions in dairy cows
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