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Standardizing near infrared reflectance spectra by detrending against a water spectrum, for calibrating the voluntary intake of barley straw by sheep

  • A. V. Goodchild (a1) and F. J. El Haramein (a1)

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The moisture content of samples affects the accuracy of predictions made using near infrared reflectance spectroscopy (NIRS). One way to prevent the problem is to develop a repeatability file, which summarizes variation in the spectra of a single sample resulting from variation in conditions at the time of scanning (Murray, 1993). Another method is to re-read the spectra of all samples on a second occasion when their moisture content has been deliberately altered (Murray, 1993). The present study, using straws with known voluntary intakes, compares these methods with a simple technique that compensates the spectra for moisture content before NIRS calibration (or prediction) begins.

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Barnes, R. J., Dhanoa, M. S. and Lister, S. J. 1989. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Applied Spectroscopy 43: 772777.
Murray, I. 1993. Forage analysis by near infra-red spectroscopy. In Sward measurement handbook (ed. Davies, A., Baker, R. D., Grant, S. A. and Laidlaw, A. S.), pp. 285312. British Grassland Society, Reading, UK.
NIRSystems, Inc. 1992. NSAS, near infrared spectral analysis software.Perstorp Analytical, Silver Spring, MD, USA.

Standardizing near infrared reflectance spectra by detrending against a water spectrum, for calibrating the voluntary intake of barley straw by sheep

  • A. V. Goodchild (a1) and F. J. El Haramein (a1)

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