ESTIMATE OF THE DENSITY OF Eucalyptus grandis W. Hill ex Maiden USING NEAR INFRARED SPECTROSCOPY

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Silviana Rosso Graciela Ines Bolzon de Muniz Jorge Luis Monteiro de Matos Clóvis Roberto Haselein Paulo Ricardo Gherardi Hein Merielen de Carvalho Lopes

Abstract

 

This study aimed to analyze use of near infrared spectroscopy (NIRS) to estimate wood density of Eucalyptus grandis. For that, 66 27-year-old trees were logged and central planks were removed from each log. Test pieces 2.5 x 2.5 x 5.0 cm in size were removed from the base of each plank, in the pith-bark direction, and subjected to determination of bulk and basic density at 12% moisture (dry basis), followed by spectral readings in the radial, tangential and transverse directions using a Bruker Tensor 37 infrared spectrophotometer. The calibration to estimate wood density was developed based on the matrix of spectra obtained from the radial face, containing 216 samples. The partial least squares regression to estimate bulk wood density of Eucalyptus grandis provided a coefficient of determination of validation of 0.74 and a ratio performance deviation of 2.29. Statistics relating to the predictive models had adequate magnitudes for estimating wood density from unknown samples, indicating that the above technique has potential for use in replacement of conventional testing. 

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How to Cite
ROSSO, Silviana et al. ESTIMATE OF THE DENSITY OF Eucalyptus grandis W. Hill ex Maiden USING NEAR INFRARED SPECTROSCOPY. CERNE, [S.l.], v. 19, n. 4, p. 647-652, apr. 2016. ISSN 2317-6342. Available at: <http://cerne.ufla.br/site/index.php/CERNE/article/view/947>. Date accessed: 16 sep. 2019.
Keywords
Bulk density, Eucalyptus, hardwood, NIRS.
Section
Article