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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
19/07/2010 |
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Data da última atualização: |
22/03/2011 |
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Autoria: |
VIANA, L. C.; TRUGILHO, P. F.; HEIN, P. R. G.; LIMA, J. T.; SILVA, J. R. M. da. |
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Afiliação: |
Lívia Cássia Viana; Paulo Fernando Trugilho; Paulo Ricardo Gherardi Hein; José Tarcísio Lima; José Reinaldo Moreira da Silva. |
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Título: |
Predicting the morphological characteristics and basic density of Eucalyptus wood using the NIRS technique. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
Cerne, Lavras. v. 15, n.4, p. 421-429, out./dez. 2009. |
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Idioma: |
Inglês |
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Conteúdo: |
This research aimed to apply the near infrared spectroscopy technique (NIRS) for fast prediction of basic density and
morphological characteristics of wood fibers in Eucalyptus clones. Six Eucalyptus clones aged three years were used, obtained from
plantations in Cocais, Guanhães, Rio Doce and Santa Bárbara, in Minas Gerais state. The morphological characteristics of the fibers
and basic density of the wood were determined by conventional methods and correlated with near infrared spectra using partial least
square regression (PLS regression). Best calibration correlations were obtained in basic density prediction, with values 0.95 for
correlation coefficient of cross validation (Rcv) and 3.4 for ratio performance deviation (RPD), in clone 57. Fiber length can be
predicted by models with Rcv ranging from 0.61 to 0.89 and standard error (SECV) ranging from 0.037 to 0.079 mm. The prediction
model for wood fiber width presented higher Rcv (0.82) and RPD (1.9) values in clone 1046. Best fits to estimate lumen diameter and
fiber wall thickness were obtained with information from clone 1046. In some clones, the NIRS technique proved efficient to predict
the anatomical properties and basic density of wood in Eucalyptus clones. |
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Palavras-Chave: |
Anatomical element; Near infrared spectroscopy; Timber. |
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Thesaurus Nal: |
hardwood; specific gravity. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01910naa a2200229 a 4500
001 1858054
005 2011-03-22
008 2009 bl uuuu u00u1 u #d
100 1 $aVIANA, L. C.
245 $aPredicting the morphological characteristics and basic density of Eucalyptus wood using the NIRS technique.
260 $c2009
520 $aThis research aimed to apply the near infrared spectroscopy technique (NIRS) for fast prediction of basic density and morphological characteristics of wood fibers in Eucalyptus clones. Six Eucalyptus clones aged three years were used, obtained from plantations in Cocais, Guanhães, Rio Doce and Santa Bárbara, in Minas Gerais state. The morphological characteristics of the fibers and basic density of the wood were determined by conventional methods and correlated with near infrared spectra using partial least square regression (PLS regression). Best calibration correlations were obtained in basic density prediction, with values 0.95 for correlation coefficient of cross validation (Rcv) and 3.4 for ratio performance deviation (RPD), in clone 57. Fiber length can be predicted by models with Rcv ranging from 0.61 to 0.89 and standard error (SECV) ranging from 0.037 to 0.079 mm. The prediction model for wood fiber width presented higher Rcv (0.82) and RPD (1.9) values in clone 1046. Best fits to estimate lumen diameter and fiber wall thickness were obtained with information from clone 1046. In some clones, the NIRS technique proved efficient to predict the anatomical properties and basic density of wood in Eucalyptus clones.
650 $ahardwood
650 $aspecific gravity
653 $aAnatomical element
653 $aNear infrared spectroscopy
653 $aTimber
700 1 $aTRUGILHO, P. F.
700 1 $aHEIN, P. R. G.
700 1 $aLIMA, J. T.
700 1 $aSILVA, J. R. M. da
773 $tCerne, Lavras.$gv. 15, n.4, p. 421-429, out./dez. 2009.
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Registro original: |
Embrapa Florestas (CNPF) |
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