Predicting the morphological characteristics and basic density of Eucalyptus wood using the NIRS technique

Detalhes bibliográficos
Autor(a) principal: Viana, Lívia Cássia
Data de Publicação: 2015
Outros Autores: Trugilho, Paulo Fernando, Hein, Paulo Ricardo Gherardi, Lima, José Tarcísio, Silva, José Reinaldo Moreira da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/14825
Resumo: 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.
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spelling Predicting the morphological characteristics and basic density of Eucalyptus wood using the NIRS techniquePredição das características morfológicas e da densidade básica da madeira de Eucalyptus pela técnica NIRSNear infrared spectroscopyTimberSpecific gravityAnatomical elementsHardwoodThis 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.Neste trabalho, objetivou-se aplicar a técnica da espectroscopia no infravermelho próximo (NIRS) para rápida predição da densidade básica e das características morfológicas das fibras da madeira em clones de Eucalyptus. Foram utilizados seis clones de Eucalyptus, com idade de três anos, provenientes de plantios localizados nas regionais de Cocais, Guanhães, Rio Doce e Santa Bárbara, no Estado de Minas Gerais. As características morfológicas das fibras e a densidade básica da madeira foram determinadas por método convencional e correlacionadas com os espectros no infravermelho próximo por meio da regressão dos mínimos quadrados parciais (PLS regression). As melhores correlações nas calibrações foram obtidas para prever a densidade básica da madeira, com valores de coeficientes de correlação na validação cruzada (Rcv) de 0,95 e relação de desempenho do desvio (RPD) de 3,4 para o clone 57. O comprimento das fibras pode ser predito por modelos com Rcv, entre 0,61 e 0,89 e erro padrão (SECV), variando de 0,037 a 0,079 mm. O modelo para predição da largura das fibras da madeira apresentou os maiores valores de Rcv (0,82) e RPD (1,9) para o clone 1046. Os melhores ajustes para estimar o diâmetro do lume e a espessura da parede das fibras foram obtidos com as informações das amostras do clone 1046. Para alguns clones, a técnica NIRS mostrou-se eficiente para predição das propriedades anatômicas e da densidade básica da madeira dos clones de Eucalyptus.Universidade Federal de Lavras (UFLA)2015-05-192017-08-01T20:17:07Z2017-08-01T20:17:07Z2017-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://repositorio.ufla.br/jspui/handle/1/148252317-63420104-7760reponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAengAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessViana, Lívia CássiaTrugilho, Paulo FernandoHein, Paulo Ricardo GherardiLima, José TarcísioSilva, José Reinaldo Moreira da2021-02-22T03:28:48Zoai:localhost:1/14825Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-02-22T03:28:48Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Predicting the morphological characteristics and basic density of Eucalyptus wood using the NIRS technique
Predição das características morfológicas e da densidade básica da madeira de Eucalyptus pela técnica NIRS
title Predicting the morphological characteristics and basic density of Eucalyptus wood using the NIRS technique
spellingShingle Predicting the morphological characteristics and basic density of Eucalyptus wood using the NIRS technique
Viana, Lívia Cássia
Near infrared spectroscopy
Timber
Specific gravity
Anatomical elements
Hardwood
title_short Predicting the morphological characteristics and basic density of Eucalyptus wood using the NIRS technique
title_full Predicting the morphological characteristics and basic density of Eucalyptus wood using the NIRS technique
title_fullStr Predicting the morphological characteristics and basic density of Eucalyptus wood using the NIRS technique
title_full_unstemmed Predicting the morphological characteristics and basic density of Eucalyptus wood using the NIRS technique
title_sort Predicting the morphological characteristics and basic density of Eucalyptus wood using the NIRS technique
author Viana, Lívia Cássia
author_facet Viana, Lívia Cássia
Trugilho, Paulo Fernando
Hein, Paulo Ricardo Gherardi
Lima, José Tarcísio
Silva, José Reinaldo Moreira da
author_role author
author2 Trugilho, Paulo Fernando
Hein, Paulo Ricardo Gherardi
Lima, José Tarcísio
Silva, José Reinaldo Moreira da
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Viana, Lívia Cássia
Trugilho, Paulo Fernando
Hein, Paulo Ricardo Gherardi
Lima, José Tarcísio
Silva, José Reinaldo Moreira da
dc.subject.por.fl_str_mv Near infrared spectroscopy
Timber
Specific gravity
Anatomical elements
Hardwood
topic Near infrared spectroscopy
Timber
Specific gravity
Anatomical elements
Hardwood
description 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.
publishDate 2015
dc.date.none.fl_str_mv 2015-05-19
2017-08-01T20:17:07Z
2017-08-01T20:17:07Z
2017-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufla.br/jspui/handle/1/14825
url http://repositorio.ufla.br/jspui/handle/1/14825
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Lavras (UFLA)
publisher.none.fl_str_mv Universidade Federal de Lavras (UFLA)
dc.source.none.fl_str_mv 2317-6342
0104-7760
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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