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Use of near infrared reflectance spectroscopy to predict and compare the composition of carcass samples from young steers

Published online by Cambridge University Press:  02 September 2010

R. Sanderson
Affiliation:
Insitute of Grassland and Environmental Research, Plas Gogerddan, Aberystwyth SY23 3EB
S. J. Lister
Affiliation:
Insitute of Grassland and Environmental Research, Plas Gogerddan, Aberystwyth SY23 3EB
M. S. Dhanoa
Affiliation:
Insitute of Grassland and Environmental Research, Plas Gogerddan, Aberystwyth SY23 3EB
R. J. Barnes
Affiliation:
NIRSystems, Perstorp Analytical Ltd, Highfield House, Foundation Park, Roxborough Way, Maidenhead SL6 3UD
C. Thomas
Affiliation:
Scottish Agricultural College, Auchincruive, Ayr KA6 5HW
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Abstract

The aim of the current study was to investigate the effects of level of feeding and level offish-meal supplementation on the carcass composition of young steers and in doing so, to assess the potential for employing near infrared reflectance spectroscopy (NIRS) in such studies. In addition to wet chemical techniques, NIRS was used to examine carcass samples from animals offered silage-based diets at one of four levels of feeding ranging from near maintenance to ad libitum and with one of four levels offish meal (0, 50,100 or 150 g/kg silage dry matter).

Wet chemical data indicated an increase in fat concentration (P < 0·001) and decrease in crude protein concentration (P < 0·05) in the fresh carcass in response to increasing level of feeding but no statistically significant effect of level of fish meal. Ash concentration was not affected significantly by either level of feeding or level of fish-meal supplementation. Ground, freeze-dried samples were scanned in the wavelength range 1100 to 2498 nm. Calibration equations for ash, fat and crude protein concentration (g/kg carcass) were derived using a modified partial least-squares regression technique. Equations were found to be superior for fat compared with those for crude protein and ash. Standard errors of calibration (g/kg carcass) and multiple correlation coefficients of 6·96 and 0·42, 6·61 and 0·95 and 4·36 and 0·61 were obtained for ash, fat and crude protein respectively with corresponding standard errors of cross validation of 7·71, 7·82 and 4·96 g/kg carcass respectively. Qualitative analysis of spectral information using multivariate techniques and difference spectra clearly showed differences in carcass composition resulting from the different levels of feeding and less so the different levels offish-meal supplementation.

It is shown, that NIRS can be used both quantitatively and qualitatively to study the effects of nutrition on carcass composition.

Type
Research Article
Copyright
Copyright © British Society of Animal Science 1997

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