Abstract

Thirteen wood parameters were predicted using near infrared (NIR) spectra in the range 780-2380 nm modelled by biorthogonal partial least squares regression. The analysis of parameters and NIR measurements was done on clearwood samples from the base and midstem of Scots pine (Pinus sylvestris L.) from trees at two sites. Calibrations based on the measured parameters at seven growth rings (cambial age ranging between 6 and 42 years) could be divided into three groups: (i) the best accuracy was found for longitudinal modulus of elasticity (r > 0.9) followed by bending, compression, and cell length (0.8 < r < 0.9); (ii) microfibril angle, longitudinal hardness, proportion of latewood, and creep with correlations in the range of 0.7-0.8; and (iii) tangential hardness, cell diameter, and cell wall thickness with 0.4 < r < 0.7. It was also shown that juvenile (cambial age £20 years) and mature wood can be classified using NIR techniques.

Published in

Canadian Journal of Forest Research
2008, Volume: 38, number: 7, pages: 2052-2062
Publisher: NATL RESEARCH COUNCIL CANADA-N R C RESEARCH PRESS

SLU Authors

• Lestander, Torbjörn

  • Department of Forest Biomaterials and Technology, Swedish University of Agricultural Sciences
    

• Hoffman, Daniel

  • Unit for Field-based Forest Research, Swedish University of Agricultural Sciences
    

• Bergsten, Urban

  • Department of Forest Ecology and Management, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Forest Science


Publication identifier

DOI: https://doi.org/10.1139/X08-047

Permanent link to this page (URI)

https://res.slu.se/id/publ/40866