Comparison of methods for prediction of rumen fermentation patterns from diet composition

Author:

Brown V.E.,Agnew R.E.,Kilpatrick D.J.

Abstract

Previous attempts (Offer & Percival, 1998) have been made to develop a prediction system for rumen fermentation patterns from stepwise multiple linear regressions of the chemical constituents of the diet. These authors have also made comparisons between equations derived from diet wet chemistry and those developed from near infrared reflectance spectroscopy (NIRS). However, the potential of NIRS to predict the dynamics of rumen fermentation has not fully been explored using a wide range of forage treatments. Therefore the objective of this experiment was to develop equations from the chemical composition of the diet to predict rumen fermentation patterns and compare these with equations developed from undried and dried NIRS scans of the diets.

Publisher

Cambridge University Press (CUP)

Subject

General Medicine

Reference3 articles.

1. Populations Structuring of Near Infrared Spectra and Modified Partial Least Squares Regression

2. The relationship between dietary chemical characteristics and the rumen fermentation patterns observed in vivo for a range of forages fed to beef steers;Brown;Animal Science,2000

3. The prediction of rumen fermentation characteristics in sheep given grass silage diets

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