Literature DB >> 9621236

Proportions of volatile fatty acids in relation to the chemical composition of feeds based on grass silage.

N C Friggens1, J D Oldham, R J Dewhurst, G Horgan.   

Abstract

This experiment was designed to quantify the relationships between feed chemistry and the proportions of rumen volatile fatty acids (VFA) across a wide range of feedstuffs. In an experiment using 11 rumencannulated sheep, 16 test feeds were fed at three different inclusion rates in rations that were based on grass silage. The 17 periods of the experiment were each 14 d long. Eight rumen samples were taken every 24 h on d 13 and 14 of each period from which the mean daily proportions of VFA were derived. The effects of an increase in the proportion of test feed in the total feed on proportions of VFA were significant. The observed proportions of VFA were related to the chemical composition of the total feed by principal component regression. The inclusion of the amount of feed offered and the ratio of test feed to total feed in these regressions did not improve their precision; these terms were not significant. The significant terms in the regressions were crude protein, starch, sugar, and cellulose (calculated by difference). The R2 values achieved for the regressions between acetate, propionate, and butyrate (molar proportions) and feed composition were 77.5, 68.0, and 87.3%, respectively. These regressions provided an apparently robust basis for predicting molar proportions of VFA from feed chemistry in feeds based on grass silage.

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Year:  1998        PMID: 9621236     DOI: 10.3168/jds.S0022-0302(98)75696-6

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  4 in total

1.  Predicting in vitro rumen VFA production using CNCPS carbohydrate fractions with multiple linear models and artificial neural networks.

Authors:  Ruilan Dong; Guangyong Zhao
Journal:  PLoS One       Date:  2014-12-31       Impact factor: 3.240

2.  The rumen microbiome as a reservoir of antimicrobial resistance and pathogenicity genes is directly affected by diet in beef cattle.

Authors:  Marc D Auffret; Richard J Dewhurst; Carol-Anne Duthie; John A Rooke; R John Wallace; Tom C Freeman; Robert Stewart; Mick Watson; Rainer Roehe
Journal:  Microbiome       Date:  2017-12-11       Impact factor: 14.650

3.  The Contribution of Mathematical Modeling to Understanding Dynamic Aspects of Rumen Metabolism.

Authors:  André Bannink; Henk J van Lingen; Jennifer L Ellis; James France; Jan Dijkstra
Journal:  Front Microbiol       Date:  2016-11-23       Impact factor: 5.640

4.  Comparative methane estimation from cattle based on total CO2 production using different techniques.

Authors:  Md N Haque; Hanne H Hansen; Ida M L D Storm; Jørgen Madsen
Journal:  Anim Nutr       Date:  2017-04-12
  4 in total

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