Hostname: page-component-745bb68f8f-5r2nc Total loading time: 0 Render date: 2025-02-06T04:55:22.651Z Has data issue: false hasContentIssue false
  • English
  • Français

Broad-based calibrations of in vitro gas production of forages by near-infrared reflectance spectroscopy

Published online by Cambridge University Press:  27 February 2018

M. Herrero  and
N. S. Jessop
M. Herrero
Affiliation:
Institute of Ecology and Resource Management, University of Edinburgh, Edinburgh EH9 3JG
N. S. Jessop
Affiliation:
Institute of Ecology and Resource Management, University of Edinburgh, Edinburgh EH9 3JG
Get access

Extract

There is increasing demand to obtain fast and accurate dynamic nutritional information from forages. Near-infrared reflectance spectroscopy (NIRS) offers the possibility for obtaining such information for a range of nutritional constituents of foods. Herrero et al. (1996 and 1997) calibrated in vitro gas production measurements of a single grass species by NIRS. There would be greater practical benefit if the gas production predictions could be obtained using calibrations derived from a wide range of plant species, since a single equation could be used for all forages. The objective of this study was to investigate if in vitro gas production measurements of a broad based sample population could be calibrated by NIRS.

Type
Posters
Information
BSAP Occasional Publication , Volume 22: In vitro techniques for measuring nutrient supply to ruminants , 1998 , pp. 234 - 237
Copyright
Copyright © British Society of Animal Science 1998

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

France, J., Dhanoa, M. S., Theodorou, M. K., Lister, S. J., Davies, D. R. and Isaac, D. 1993. A model to interpret gas accumulation profiles associated with in vitro degradation of ruminant feeds. Journal of Theoretical Biology 163: 99–111.CrossRefGoogle Scholar
Herrero, M. and Jessop, N. S. 1996. Relationship between in vitro gas production and neutral-detergent fibre disappearance in three tropical forages. Animal Science 62: 682 (abstr.).Google Scholar
Herrero, M. and Jessop, N. S. 1997. In vitro gas production of tropical pasture legumes. Proceedings of the XVIII international grassland congress, Winnipeg, Manitoba and Saskatoon, Saskatchewan, Canada, vol. 2, section 17, pp. 63–64.Google Scholar
Herrero, M., Murray, I., Fawcett, R. H. and Dent, J. B. 1996. Prediction of the in vitro gas production and nutritive value of kikuyu grass by near-infrared reflectance spectroscopy. Animal Feed Science and Technology 60: 51–67.CrossRefGoogle Scholar
Herrero, M., Jessop, N. S., Fawcett, R. H., Murray, I. and Dent, J. B. 1997. Prediction of the in vitro gas production dynamics of kikuyu grass by near infrared reflectances spectroscopy using spectrally-structured sample populations. Animal Feed Science and Technology 69: 281–287.Google Scholar
Jessop, N. S. and Herrero, M. 1996. Influence of soluble components on parameter estimation using the in vitro gas production technique. Animal Science 62: 626–627 (abstr.).Google Scholar
Illius, A. W. and Gordon, I. J. 1991. Prediction of intake and digestion in ruminants by a model of rumen kinetics integrating animal size and plant characteristics. Journal of Agricultural Science, Cambridge 116: 145–157.CrossRefGoogle Scholar
Lister, S. J., Dhanoa, M. S., Stewart, J. L., Gill, M. 1996. Relationship between in vitro gas production and near infra-red reflectance spectra of Gliricidia provenances. Animal Science 62: 684 (abstr.).Google Scholar
Murray, I., 1993. Forage analysis by near infra-red reflectance spectroscopy. In Sward measurement handbook (ed. Davies, A., Baker, R. D., Grant, S. A. and Laidlaw, A. S.), pp. 285–312. British Grassland Society.Google Scholar
Pell, A. and Schofield, P. 1993. Computarized monitoring of gas production to measure forage digestion in vitro. Journal of Dairy Science 76: 1063–1073.Google Scholar
Shenk, J. S. and Westerhaus, M. O. 1991. Population definition, sample selection, and calibration procedures for near infra-red reflectance spectroscopy. Crop Science 31: 469–474.Google Scholar
Shenk, J. S. and Westerhaus, M. O. 1994. The application of near infra-red reflectance spectroscopy (NIRS) to forage analysis. In Forage quality, evaluation and utilization (ed. Fahey, G. C., Collins, M., Mertens, D. R. and Moser, L. E.), pp. 406–449. Crop Science Society of America. Lincoln, Nebraska.Google Scholar