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Use of near infrared spectroscopy and multivariate analysis to predict the wood density of Douglas-fir from chain saw chips

Citation

Acuna, MA and Murphy, G, Use of near infrared spectroscopy and multivariate analysis to predict the wood density of Douglas-fir from chain saw chips, Forest Products Journal, 56, (11/12) pp. 67-72. ISSN 0015-7473 (2006) [Refereed Article]

Abstract

In many parts of the world, log markets are becoming increasingly competitive and complex. Wood properties, such as stiffness, density, spiral grain, and extractives content, are now being considered by log buyers. Real-time assessment of these properties will be a challenge for log supply managers. The utility of near infrared (NIR) technology for predicting wood density in Douglas-fir stems was examined. Wood disks were collected from 17 sites around Oregon. Each disk was cut with a chain saw, of similar gauge to that used on mechanized harvesters/processors, to provide saw chips. NIR spectra were then obtained for the chip samples. Multivariate techniques were used to correlate wood properties with the NIR spectra. Preliminary research results showed that NIR could be used to predict density. Coefficients of determination ranged between 0.89 and 0.95 for calibration models and between 0.56 and 0.85 for validation models. These results indicate that NIR technology could be used by mechanized harvesting equipment for log segregation based on wood density. © Forest Products Society 2006.

Item Details

Item Type:Refereed Article
Research Division:Agricultural and Veterinary Sciences
Research Group:Forestry Sciences
Research Field:Forestry Sciences not elsewhere classified
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Softwood Plantations
Author:Acuna, MA (Mr Mauricio Acuna)
ID Code:46864
Year Published:2006
Web of Science® Times Cited:15
Deposited By:Architecture
Deposited On:2007-09-05
Last Modified:2010-03-18
Downloads:0

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