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Relationship between in vitro gas production and near infrared reflectance spectra of gliricidia provenances

Published online by Cambridge University Press:  05 November 2021

S.J. Lister
Affiliation:
Institute of Grassland and Environmental Research, Plas Gogerddan, Aberystwyth, Dyfed SY23 3EB
M.S. Dhanoa
Affiliation:
Institute of Grassland and Environmental Research, Plas Gogerddan, Aberystwyth, Dyfed SY23 3EB
J.L. Stewart
Affiliation:
Oxford Forestry Institute, Department of Plant Sciences, University of Oxford, Oxford 0X1 3RB
M. Gill
Affiliation:
Natural Resources Institute, Central Avenue, Chatham Maritime, Kent ME4 4TB
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Extract

The chemical composition of tropical forages is generally more complex than that of temperate forages, yet the need for simple methods to predict nutritive value is greater. Near Infrared Reflectance (NIR) spectra could provide a possible solution. NIR has been used to predict both in vitro and in vivo digestibility (Murray, 1993). Direct calibration with in vivo parameters is ideal, but factors such as different types of forages, animals and management conditions have to be taken into consideration. The gas production technique, which may be considered as an in vitro counterpart of the dacron bag technique, provides information relating to the fermentable fractions and kinetics of a forage and these parameters can be related to the NIR spectra. The aim of this study was to investigate the relationship between NIR spectra and cumulative gas production and derived parameters in tree leaves.

Type
Techniques
Copyright
Copyright © The British Society of Animal Science 1996

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References

Chang, W.C. 1983. On using principal components before separating a mixture of 2 multivariate normal distributions. Applied Statistics 32: 267275.10.2307/2347949CrossRefGoogle Scholar
France, J., Dhanoa, M.S., Theodorou, M.K., Lister, S.J., Davies, D.R. and Isac, D. 1993. A model to interpret gas accumulation profiles associated with in vitro degradation of ruminant feeds. Journal of Theoretical Biology 13: 99111.10.1006/jtbi.1993.1109CrossRefGoogle Scholar
Lister, S.J. 1995. Determination of silage composition using near infrared reflectance spectroscopy. PhD thesis, Reading University.Google Scholar
Murray, I. 1993. Forage Analysis by Near-Infrared Spectroscopy. In: Sward Measurement Handbook (second edition) (ed. Davies, A., Baker, R.D., Grant, S.A. and Laidlaw, A.S.) pp. 285312.Google Scholar
Theodorou, M.K., Williams, B.A., Dhanoa, M.S., McAllan, A.B. and France, J. 1994. A simple gas production method using a pressure transducer to determine the fermentation kinetics of ruminant feeds. Animal Feed Science and Technology 48: 185197.10.1016/0377-8401(94)90171-6CrossRefGoogle Scholar