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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/14544

Title: ESTIMATE OF THE DENSITY OF Eucalyptus grandis W. Hill ex Maiden USING NEAR INFRARED SPECTROSCOPY
???metadata.dc.creator???: Rosso, Silviana
Muniz, Graciela Ines Bolzon de
Matos, Jorge Luis Monteiro de
Haselein, Clóvis Roberto
Hein, Paulo Ricardo Gherardi
Lopes, Merielen de Carvalho
Keywords: Bulk density, Eucalyptus, hardwood, NIRS.
Publisher: CERNE
CERNE
???metadata.dc.date???: 6-Apr-2016
Other Identifiers: http://www.cerne.ufla.br/site/index.php/CERNE/article/view/947
Description:  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. 
???metadata.dc.language???: eng
Appears in Collections:CERNE

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