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Prediction of chemical parameters of whole crop wheat and maize silages by near infrared reflectance spectroscopy (NIRS)

Published online by Cambridge University Press:  20 November 2017

R.S. Park  and
R.E. Agnew
R.S. Park*
Affiliation:
Agricultural Research Institute of Northern Ireland, Hillsborough, Co. Down BT26 6DR, U.K.and Department of Agriculture and Rural Development for Northern Ireland
R.E. Agnew
Affiliation:
The Queen’s University of Belfast, School of Agriculture and Food Science, Newforge Lane, Belfast BT9 5PX
*
E-mail., rae.park@dardni.gov.uk
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Extract

Whole crop wheat and maize silages are becoming more widely used as additional winter forage for ruminant animals Whole crop wheat and maize forage can be produced with greater nitrogen efficiency than grass swards (Aarts et al., 1992) and it has been shown that forage maize inclusion in grass silage based diets has resulted in increased DM intake, milk yield and milk protein content (Keady et al., 2002). Consequently a robust, cost-effective method to accurately characterise the feeding value of these forages is required. Previous research at this Institute (Park et al., 1998) has shown that NIRS can be used successfully to estimate the chemical and biological parameters of grass silage. The objective of this study was to examine the potential of NIRS to predict the chemical composition of whole crop wheat and maize silages.

Type
Poster Presentations
Information
Proceedings of the British Society of Animal Science , Volume 2004 , 2004 , pp. 246
Copyright
Copyright © The British Society of Animal Science 2004

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References

Aarts, H.F.M., Biewinga, E.E. and van Keulen, H. 1992. Dairy farming systems based on efficient nutrient management Netherlands Journal of Agricultural Science, 40: 285–299.CrossRefGoogle Scholar
Keady, T.W.J., Mayne, C.S. and Kilpatrick, D.J. 2002. Proceedings of the British Society of Animal Science, p. 16.Google Scholar
Keppler, D. and Decker, K. 1974. In: Methods of Enzymatic Analysis. (Eds. Bergmeyer, H.U.) 2nd edition. Vol. 3. pp. 1127–1131.Google Scholar
Park, R.S., Agnew, R.E., Gordon, F.G. and Steen, R.W.J. 1998. The use of near infrared spectroscopy (NIRS) on undried samples of grass silage to predict chemical composition and digestibility parameters. Animal Feed Science and Technology, 72: 155–167.CrossRefGoogle Scholar