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Por favor, utilize esse identificador para citar este item ou usar como link: http://repositorio.ufla.br/jspui/handle/1/14825

Título: PREDICTING THE MORPHOLOGICAL CHARACTERISTICS AND BASIC DENSITY OF Eucalyptus WOOD USING THE NIRS TECHNIQUE
Autor(es): Viana, Lívia Cássia
Trugilho, Paulo Fernando
Hein, Paulo Ricardo Gherardi
Lima, José Tarcísio
Silva, José Reinaldo Moreira da
Assunto: NIRS, wood, basic density, anatomical elements, Eucalyptus
Publicador: CERNE
CERNE
Publicação: 19-Mai-2015
Outras Identificações: http://www.cerne.ufla.br/site/index.php/CERNE/article/view/176
Informações adicionais: This work 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.
Idioma: por
Aparece nas coleções: CERNE

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