Multivariate analysis applied to evaluation of Eucalyptus clones for bioenergy production

Detalhes bibliográficos
Autor(a) principal: Couto, Allan Motta
Data de Publicação: 2016
Outros Autores: Protásio, Thiago de Paula, Trugilho, Paulo Fernando, Neves, Thiago Andrade, Sá, Vânia Aparecida de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://www.cerne.ufla.br/site/index.php/CERNE/article/view/932
http://repositorio.ufla.br/jspui/handle/1/14487
Resumo: This research aimed to select Eucalyptus clones for bioenergy production by using of two multivariate techniques, principal component analysis and cluster analysis. The analysis evaluated 25 clones of Eucalyptus at age 54 months. Determinations included the concentrations of elemental components (C, H and O), lignin, total extractives and ash, as well as basic density, higher heating value and energy density. Both multivariate methods being used to evaluate and select clones of Eucalyptus for bioenergy production proved effective, there being similarities between the biomass groups formed by them. The cluster analysis revealed five distinct groupings, out of which cluster one, formed by clone U060, was found to have greater potential as a source of energy. Clones G084, G122, G023 and U108 had poorer energy performance.
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spelling Multivariate analysis applied to evaluation of Eucalyptus clones for bioenergy productionAnálise multivariada aplicada à avaliação de clones de Eucalyptus para a produção de bioenergiaRenewable energyWood qualityGenetic selectionBiomassEnergia renovávelBiomassaSeleção genéticaQualidade da madeiraThis research aimed to select Eucalyptus clones for bioenergy production by using of two multivariate techniques, principal component analysis and cluster analysis. The analysis evaluated 25 clones of Eucalyptus at age 54 months. Determinations included the concentrations of elemental components (C, H and O), lignin, total extractives and ash, as well as basic density, higher heating value and energy density. Both multivariate methods being used to evaluate and select clones of Eucalyptus for bioenergy production proved effective, there being similarities between the biomass groups formed by them. The cluster analysis revealed five distinct groupings, out of which cluster one, formed by clone U060, was found to have greater potential as a source of energy. Clones G084, G122, G023 and U108 had poorer energy performance.Neste trabalho, objetivou-se selecionar clones de Eucalyptus com finalidades energéticas, utilizando as técnicas multivariadas de componentes principais e de agrupamento. Foram avaliados 25 clones de Eucalyptus aos 54 meses de idade. Foram determinados os teores dos componentes elementares (C, H e O), de lignina, extrativos totais e cinzas, a densidade básica, o poder calorífico superior e a densidade energética. As duas técnicas multivariadas empregadas para a avaliação e seleção dos clones de Eucalyptus para a produção de bioenergia foram eficientes, sendo observadas similaridades entre os grupos de biomassa formados por elas. Pela análise de agrupamento, foram obtidos cinco grupos distintos, sendo que o grupo um, formado pelo clone U060, possui maior potencial como fonte de energia. Os clones G084, G122, G023 e U108 possuem menor desempenho energético.CERNE2016-04-062017-08-01T20:15:05Z2017-08-01T20:15:05Z2017-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://www.cerne.ufla.br/site/index.php/CERNE/article/view/932COUTO, A. M. et al. Multivariate analysis applied to evaluation of Eucalyptus clones for bioenergy production. Cerne, Lavras, v. 19, n. 4, p. 525-533, out./dez. 2013.http://repositorio.ufla.br/jspui/handle/1/14487CERNE; Vol 19 No 4 (2013); 525-533CERNE; Vol 19 No 4 (2013); 525-5332317-63420104-7760reponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttp://www.cerne.ufla.br/site/index.php/CERNE/article/view/932/707Copyright (c) 2016 CERNEhttp://creativecommons.org/licenses/by/4.0/Attribution 4.0 Internationalinfo:eu-repo/semantics/openAccessCouto, Allan MottaProtásio, Thiago de PaulaTrugilho, Paulo FernandoNeves, Thiago AndradeSá, Vânia Aparecida de2021-04-20T17:59:15Zoai:localhost:1/14487Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-04-20T17:59:15Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Multivariate analysis applied to evaluation of Eucalyptus clones for bioenergy production
Análise multivariada aplicada à avaliação de clones de Eucalyptus para a produção de bioenergia
title Multivariate analysis applied to evaluation of Eucalyptus clones for bioenergy production
spellingShingle Multivariate analysis applied to evaluation of Eucalyptus clones for bioenergy production
Couto, Allan Motta
Renewable energy
Wood quality
Genetic selection
Biomass
Energia renovável
Biomassa
Seleção genética
Qualidade da madeira
title_short Multivariate analysis applied to evaluation of Eucalyptus clones for bioenergy production
title_full Multivariate analysis applied to evaluation of Eucalyptus clones for bioenergy production
title_fullStr Multivariate analysis applied to evaluation of Eucalyptus clones for bioenergy production
title_full_unstemmed Multivariate analysis applied to evaluation of Eucalyptus clones for bioenergy production
title_sort Multivariate analysis applied to evaluation of Eucalyptus clones for bioenergy production
author Couto, Allan Motta
author_facet Couto, Allan Motta
Protásio, Thiago de Paula
Trugilho, Paulo Fernando
Neves, Thiago Andrade
Sá, Vânia Aparecida de
author_role author
author2 Protásio, Thiago de Paula
Trugilho, Paulo Fernando
Neves, Thiago Andrade
Sá, Vânia Aparecida de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Couto, Allan Motta
Protásio, Thiago de Paula
Trugilho, Paulo Fernando
Neves, Thiago Andrade
Sá, Vânia Aparecida de
dc.subject.por.fl_str_mv Renewable energy
Wood quality
Genetic selection
Biomass
Energia renovável
Biomassa
Seleção genética
Qualidade da madeira
topic Renewable energy
Wood quality
Genetic selection
Biomass
Energia renovável
Biomassa
Seleção genética
Qualidade da madeira
description This research aimed to select Eucalyptus clones for bioenergy production by using of two multivariate techniques, principal component analysis and cluster analysis. The analysis evaluated 25 clones of Eucalyptus at age 54 months. Determinations included the concentrations of elemental components (C, H and O), lignin, total extractives and ash, as well as basic density, higher heating value and energy density. Both multivariate methods being used to evaluate and select clones of Eucalyptus for bioenergy production proved effective, there being similarities between the biomass groups formed by them. The cluster analysis revealed five distinct groupings, out of which cluster one, formed by clone U060, was found to have greater potential as a source of energy. Clones G084, G122, G023 and U108 had poorer energy performance.
publishDate 2016
dc.date.none.fl_str_mv 2016-04-06
2017-08-01T20:15:05Z
2017-08-01T20:15:05Z
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://www.cerne.ufla.br/site/index.php/CERNE/article/view/932
COUTO, A. M. et al. Multivariate analysis applied to evaluation of Eucalyptus clones for bioenergy production. Cerne, Lavras, v. 19, n. 4, p. 525-533, out./dez. 2013.
http://repositorio.ufla.br/jspui/handle/1/14487
url http://www.cerne.ufla.br/site/index.php/CERNE/article/view/932
http://repositorio.ufla.br/jspui/handle/1/14487
identifier_str_mv COUTO, A. M. et al. Multivariate analysis applied to evaluation of Eucalyptus clones for bioenergy production. Cerne, Lavras, v. 19, n. 4, p. 525-533, out./dez. 2013.
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.cerne.ufla.br/site/index.php/CERNE/article/view/932/707
dc.rights.driver.fl_str_mv Copyright (c) 2016 CERNE
http://creativecommons.org/licenses/by/4.0/
Attribution 4.0 International
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 CERNE
http://creativecommons.org/licenses/by/4.0/
Attribution 4.0 International
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv CERNE
publisher.none.fl_str_mv CERNE
dc.source.none.fl_str_mv CERNE; Vol 19 No 4 (2013); 525-533
CERNE; Vol 19 No 4 (2013); 525-533
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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