期刊论文详细信息
CERNE
Estimate of the density of Eucalyptus grandis W. Hill ex Maiden using near infrared spectroscopy
Silviana Rosso2  Graciela Ines Bolzon De Muniz1  Jorge Luis Monteiro De Matos1  Clóvis Roberto Haselein1  Paulo Ricardo Gherardi Hein1  Merielen De Carvalho Lopes1 
[1] ,Universidade Federal do PampaSão Gabriel Rio Grande do Sul ,Brazil
关键词: Bulk density;    Eucalyptus;    hardwood;    NIRS;    Densidade aparente;    Eucalyptus;    folhosas;    NIR;   
DOI  :  10.1590/S0104-77602013000400015
来源: SciELO
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【 摘 要 】

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.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License

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