Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Near Infrared Spectroscopy
  • Vol. 2,
  • Issue 1,
  • pp. 33-41
  • (1994)

Analysis of Feed Barley by near Infrared Reflectance Technology

Not Accessible

Your library or personal account may give you access

Abstract

Rapid methods for predicting feed barley quality with near infrared (NIR) reflectance spectroscopy were investigated. Reference tests for true metabolisable energy (TME), in vitro digestibility, neutral-detergent fibre, protein and kernel plumpness in feed barley is time-consuming. Near infrared technology can save considerable time by testing all of the above simultaneously, but accurate calibration of the equipment is essential. Calibration requires accurate results from chemical or physical tests and wide variance in reference data. Our calibration data sets were selected from over 800 feed barley (hulless, two- and six-rowed) samples that were grown at various locations across the Canadian Prairies in 1990 or 1991. Calibrations for a NIRSystems 6500 scanning spectrophotometer, using both whole and ground kernels, were calculated using one of three basic mathematical treatments: log (1/R) or the first or second derivative thereof. Partial Least Squares regression was applied to the best mathematical treatment and further calibrations were generated where applicable. We found correlations of 0.95 (TME), 0.98 (in vitro digestibility), 0.90 (NDF), 0.97 (protein) and 0.91 (kernel plumpness). Standard errors of prediction were 0.21, 0.97, 0.65, 0.31 and 11.5, respectively.

© 1994 NIR Publications

PDF Article
More Like This
Near Infrared Reflectance of Colored Fruits

Peter J. H. Sharpe and H. N. Barber
Appl. Opt. 11(12) 2902-2906 (1972)

Assessing frost damage in barley using terahertz imaging

Wendy S. L. Lee, Ariel Ferrante, Withawat Withayachumnankul, and Jason A. Able
Opt. Express 28(21) 30644-30655 (2020)

Multispectral system for reflectance reconstruction in the near-infrared region

Meritxell Vilaseca, Jaume Pujol, Montserrat Arjona, and Marta de Lasarte
Appl. Opt. 45(18) 4241-4253 (2006)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.