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NIR detection of non-recoverable collapse in sawn boards of Eucalyptus globulus

Citation

Downes, G and Touza, M and Harwood, C and Wentzel-Vietheer, M, NIR detection of non-recoverable collapse in sawn boards of Eucalyptus globulus, European Journal of Wood and Wood Products, 72, (5) pp. 563-570. ISSN 0018-3768 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 Her Majesty the Queen in Right of Australia

DOI: doi:10.1007/s00107-014-0813-9

Abstract

NIR predictions of cellulose content and stiffness (modulus of elasticity, MOE) from spectra collected from the radial longitudinal surface of Eucalyptus globulus wood were found to be reliable indicators of zones of non-recoverable collapse associated with the presence of tension wood. Radial sections from 25 quarter-sawn boards cut from plantation-grown E. globulus trees in Spain were scanned to generate radial profiles of NIR-predicted wood properties at 2 mm increments. These boards manifested a range of non-recoverable collapse features, from no collapse to one or more severe collapse bands. Collapse bands occurred where NIR-predicted cellulose content and MOE exceeded threshold levels of 50 % and 25 GPa, respectively for more than four consecutive millimetres. A non-recoverable collapse indicator provided a clear predictor of non-recoverable collapse. A NRCI value ≥100 for a consecutive interval of at least 4 mm successfully predicted all ten NRC bands with shrinkage ≥10 % of board thickness. The potential applications of this tension wood detection method are discussed.

Item Details

Item Type:Refereed Article
Keywords:cellulose, forestry, infrared devices
Research Division:Agricultural and Veterinary 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
Author:Downes, G (Dr Geoff Downes)
Author:Harwood, C (Mr Christopher Harwood)
ID Code:118116
Year Published:2014
Deposited By:Plant Science
Deposited On:2017-07-04
Last Modified:2017-10-24
Downloads:0

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