PREDICTING THE MORPHOLOGICAL CHARACTERISTICS AND BASIC DENSITY OF Eucalyptus WOOD USING THE NIRS TECHNIQUE
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| Format: | Artículo científico |
| Sprache: | en |
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Universidade Federal de Lavras
2009
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| author | Lívia Cássia Viana |
| author_facet | Lívia Cássia Viana |
| contents | PREDICTING THE MORPHOLOGICAL CHARACTERISTICS AND BASIC DENSITY OF Eucalyptus WOOD USING THE NIRS TECHNIQUE Lívia Cássia Viana Paulo Fernando Trugilho Paulo Ricardo Gherardi Hein José Tarcísio Lima José Reinaldo Moreira da Silva Agrociencias timber hardwood specific gravity anatomical elements Near infrared spectroscopy 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. 2009 artículo científico 0104-7760 https://www.redalyc.org/articulo.oa?id=74413024006 en http://www.redalyc.org/revista.oa?id=744 CERNE application/pdf Universidade Federal de Lavras CERNE (Brasil) Num.4 Vol.15 |
| format | Artículo científico |
| id | redalyc_74413024006 |
| institution | Redalyc |
| language | en |
| publishDate | 2009 |
| publisher | Universidade Federal de Lavras |
| spellingShingle | PREDICTING THE MORPHOLOGICAL CHARACTERISTICS AND BASIC DENSITY OF Eucalyptus WOOD USING THE NIRS TECHNIQUE Lívia Cássia Viana Agrociencias timber hardwood specific gravity anatomical elements Near infrared spectroscopy PREDICTING THE MORPHOLOGICAL CHARACTERISTICS AND BASIC DENSITY OF Eucalyptus WOOD USING THE NIRS TECHNIQUE Lívia Cássia Viana Paulo Fernando Trugilho Paulo Ricardo Gherardi Hein José Tarcísio Lima José Reinaldo Moreira da Silva Agrociencias timber hardwood specific gravity anatomical elements Near infrared spectroscopy 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. 2009 artículo científico 0104-7760 https://www.redalyc.org/articulo.oa?id=74413024006 en http://www.redalyc.org/revista.oa?id=744 CERNE application/pdf Universidade Federal de Lavras CERNE (Brasil) Num.4 Vol.15 |
| title | PREDICTING THE MORPHOLOGICAL CHARACTERISTICS AND BASIC DENSITY OF Eucalyptus WOOD USING THE NIRS TECHNIQUE |
| topic | Agrociencias timber hardwood specific gravity anatomical elements Near infrared spectroscopy |
| url | https://www.redalyc.org/articulo.oa?id=74413024006 |