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The use of near infra-red reflectance spectroscopy (NIRS) to predict voluntary intake of grass silage by lambs and dairy cows

Published online by Cambridge University Press:  05 November 2021

D S Percival ,
N W Offer  and
C Thomas
D S Percival
Affiliation:
Grassland & Ruminant Science Dept., SAC Auchincruive, Ayr KA6 5HW, Scotland
N W Offer
Affiliation:
Grassland & Ruminant Science Dept., SAC Auchincruive, Ayr KA6 5HW, Scotland
C Thomas
Affiliation:
Grassland & Ruminant Science Dept., SAC Auchincruive, Ayr KA6 5HW, Scotland
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Extract

The greatest error in formulating rations is due to the inaccuracy of prediction of silage dry matter intake (SDMI). Until recently, predictions have been based on die method of Lewis (1981) which predicts intake from traditional silage analysis :- dry matter (DM), crude protein (CP), digestible organic matter in the dry matter (DOMD) and ammonia N. Recently, the incorporation of new feed characterisation data, obtained from electrometric titration (ET), has unproved predictions (Offer et al., 199S). A 4 year study has yielded data to evaluate alternative methods for the prediction of SDMI using traditional, ET and HPLC data and spectral information obtained by near infra-red reflectance spectroscopy (NIRS) of fresh and dried samples.

Type
Techniques
Information
Proceedings of the British Society of Animal Science , Volume 1996 , March 1996 , pp. 215
Copyright
Copyright © The British Society of Animal Science 1996

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References

Lewis, M. (1981). Equations for predicting silage intake by beef and dairy cattle. Proceedings of the Sixth Silage Conference, Edinburgh, pp. 35–36.Google Scholar
Offer, N. W., Thomas, C. and Dewhurst, R. J. (1995). Validation of advisory models for the prediction of voluntary intake of grass silage by lambs and dairy cows. Animal Science 60:515a.Google Scholar