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The use of near infrared reflectance spectroscopy (NIRS) to predict the nutritive value of standard commercial diets for post-weaned pigs

Published online by Cambridge University Press:  22 November 2017

M E E McCann ,
R Park ,
M J Hutchinson ,
B Owens  and
V E Beattie
M E E McCann*
Affiliation:
Agri-Food and Biosciences Institute, Hillsborough, United Kingdom Queen’s University Belfast, Belfast, United Kingdom
R Park
Affiliation:
Agri-Food and Biosciences Institute, Hillsborough, United Kingdom
M J Hutchinson
Affiliation:
Queen’s University Belfast, Belfast, United Kingdom
B Owens
Affiliation:
Devenish Nutrition Ltd., Belfast, United Kingdom
V E Beattie
Affiliation:
Devenish Nutrition Ltd., Belfast, United Kingdom
*
Email: Elizabeth.McCann@afbini.gov.uk
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Extract

In order to assess the nutritive value of pig diets, performance and digestibility trials must be conducted as there is no accurate alternative to predict nutritive value. However, the use of near infrared reflectance spectroscopy (NIRS) to predict performance from feed ingredients has been shown to have potential. Owens et al (2007) investigated the use of NIRS to predict the performance of broilers offered wheat-based diets, through scanning of whole wheat, and observed that NIRS accurately predicted liveweight gain and gain:feed. The aim of this study was to investigate if NIRS could be used to predict the performance of pigs, through scanning of the complete diet.

Type
Theatre Presentations
Information
Proceedings of the British Society of Animal Science , Volume 2009 , April 2009 , pp. 108
Copyright
Copyright © The British Society of Animal Science 2009

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References

Owens, B., McCann, M.E.E., McCracken, K.J. and Park, R (2007). Prediction of wheat chemical and physical characteristics and nutritive value by NIRS. British Poultry Science (In Press).Google Scholar