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Prediction of non-recoverable collapse in Eucalyptus globulus from near infrared scanning of radial wood samples


Wentzel-Vietheer, M and Washusen, R and Downes, GM and Harwood, C and Ebdon, N and Ozarska, Barbara and Baker, TG, Prediction of non-recoverable collapse in Eucalyptus globulus from near infrared scanning of radial wood samples, Holz Als Roh- Und Werkstoff: European Journal of Wood and Wood Industries, 71, (6) pp. 755-768. ISSN 0018-3768 (2013) [Professional, Non Refereed Article]

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DOI: doi:10.1007/s00107-013-0735-y


Near infrared (NIR) spectroscopy calibrations was used to predict radial profiles of cellulose content, wood density, cellulose microfibril angle (MFA) and modulus of elasticity (MOE) in 20-year-old plantation Eucalyptus globulus to identify non-recoverable collapse zones associated with tension wood. Radial (cambium-to-pith) wood cores were extracted at a height of 1.0m from trees selected to represent a range of silvicultural treatments. NIR spectra were measured at 1 mm intervals along the radial-longitudinal face of each core after drying to 12% equilibrium moisture content (EMC) at 40C. Tangential shrinkage was measured at eight points along each core, following steam reconditioning and re-drying to 12% EMC. Additional cores from 20 of the sample trees were collected. Radial profiles of density, MFA and MOE were obtained for wood strips prepared from these cores, using the SilviScan 3 wood assessment system. Trait profiles were matched to radial NIR scans of these cores, enabling the development of NIR calibrations using partial least squares (PLS) regression. These, and an existing NIR calibration for cellulose content, were used to predict the radial profiles of the four wood properties for the first set of cores. Predicted wood properties were then related to actual tangential shrinkage measurements and the occurrence of visible bands of non-recoverable collapse. A regression model was developed to reliably predict regions of non-recoverable collapse from NIR-predicted cellulose content and MOE. Micrography of stained wood sections indicated that the collapse was caused by the presence of tension wood.

Item Details

Item Type:Professional, Non Refereed Article
Keywords:non-recoverable collapse, Eucalyptus globulus, infrared scanning, prediction
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Forestry sciences
Research Field:Forestry product quality assessment
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Hardwood plantations
UTAS Author:Downes, GM (Dr Geoff Downes)
UTAS Author:Ozarska, Barbara (Dr Barbara Ozarska)
ID Code:116642
Year Published:2013
Web of Science® Times Cited:13
Deposited By:Plant Science
Deposited On:2017-05-15
Last Modified:2017-05-16

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