Estimation ofPinus radiata D. Don clear wood properties by near-infrared spectroscopy
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The use of calibrated near-infrared (NIR) spectroscopy for predicting of a range of solid wood properties is described. The methods developed are applicable to large-scale nondestructive forest resource assessment and to tree breeding and silviculture programs. A series ofPinus radiata D. Don (radiata pine) samples were characterized in terms of density, longitudinal modulus of elasticity (EL), and microfibril angle (MFA). NIR spectra were obtained from the radial/longitudinal face of each sample and used to generate calibrations for the measured physical properties. The relations between laboratory-determined data and NIR fitted data were good in all cases, with coefficients of determination (R2) ranging from 0.68 for 100/MFA to 0.94 for densitystrip. A good relation (R2 = 0.83) was also obtained forEL estimated using data collected by SilviScan-2. The finding suggests that an NIR instrument could be calibrated to estimate theEL of increment cores based on SilviScan data. In view of the rapidly expanding range of applications for this technique, it is concluded that appropriately calibrated NIR spectroscopy could form the basis of a testing instrument capable of predicting a range of properties from a single spectrum obtained from the product or from the raw material.
Key wordsNear-infrared spectroscopy Pinus radiata D. Don Solid wood properties
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- 2.Evans R (1997) Rapid scanning of microfibril angle in increment cores by x-ray diffractometry. In: Butterfield BG (ed) Microfibril angle in wood. University of Canterbury. Christchurch, pp 116–139Google Scholar
- 3.Evans R (1999) A variance approach to the x-ray diffractometric estimation of microfibril angle in wood. Appita J 52:283–289, 294Google Scholar
- 4.Evans R, Ilic J (2001) Rapid prediction of wood stiffness from microfibril angle and density. For Prod J 51(3):53–57Google Scholar
- 7.Evans R, Ilic J, Matheson AC (2000) Rapid estimation of solid wood stiffness using SilviScan. In: Schimleck LR. Blakemore PA (eds) Proceedings of the 26th forest products research conference. CSIRO Forestry and Forest Products, Clayton, pp 49–50Google Scholar
- 8.Shenk JS, Workman JJ Jr, Westerhaus MO (1992) Application of NIR spectroscopy to agricultural products. In: Burns DA, Ciurczak EW (eds) Handbook of near-infrared analysis. Marcel Dekker, New York, pp 385–386Google Scholar
- 9.Esbensen K, Schönkopf S, Midtgaard T (1994) Multivariate analysis in practice. Camo AS, TrondheimGoogle Scholar
- 10.Anonymous (1990) Manual for NIR spectral analysis software. NIRSystems, Silver Spring, MD, USAGoogle Scholar
- 11.Miller CE (1989) Analysis of synthetic polymers by near-infrared spectroscopy. PhD thesis, University of Washington, pp 55–56Google Scholar
- 12.Workman JJ Jr (1992) NIR spectroscopy calibration basics. In: Burns DA, Ciurczak EW (eds) Handbook of near-infrared analysis. Marcel Dekker, New York, pp 274–276Google Scholar