Estimate of the density of Eucalyptus grandis W. Hill ex Maiden using near infrared spectroscopy

CERNE

Lopes, Merielen de Carvalho²  Matos, Jorge Luis Monteiro de⁴  Hein, Paulo Ricardo Gherardi⁵  Haselein, Clóvis Roberto³  Rosso, Silviana¹  Muniz, Graciela Ines Bolzon de⁴ 

[1] Universidade Federal do Pampa, São Gabriel, Brazil$$;Universidade Federal de Pelotas, Pelotas, Brazil$$;Universidade Federal de Santa Maria, Santa Maria, Brazil$$;Universidade Federal do Paraná, Curitiba, Brazil$$;Universidade Federal de Minas Gerais, Montes Claros, Brazil$$

关键词: Bulk density;    Eucalyptus;    hardwood;    NIRS.;   

DOI  :  10.1590/S0104-77602013000400015

来源: Universidade Federal de Lavras-UFLA

【 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】

Unknown