MULTIVARIATE ANALYSIS APPLIED TO EVALUATION OF Eucalyptus CLONES FOR BIOENERGY PRODUCTION
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cerne (Online) |
Texto Completo: | https://cerne.ufla.br/site/index.php/CERNE/article/view/932 |
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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MULTIVARIATE ANALYSIS APPLIED TO EVALUATION OF Eucalyptus CLONES FOR BIOENERGY PRODUCTIONRenewable energybiomassgenetic selectionwood quality.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.CERNECERNE2016-04-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/932CERNE; Vol. 19 No. 4 (2013); 525-533CERNE; v. 19 n. 4 (2013); 525-5332317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/932/707Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessCouto, Allan MottaProtásio, Thiago de PaulaTrugilho, Paulo FernandoNeves, Thiago AndradeSá, Vânia Aparecida de2016-04-06T13:20:59Zoai:cerne.ufla.br:article/932Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:12.724620Cerne (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
MULTIVARIATE ANALYSIS APPLIED TO EVALUATION OF Eucalyptus CLONES FOR BIOENERGY PRODUCTION |
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 biomass genetic selection wood quality. |
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 biomass genetic selection wood quality. |
topic |
Renewable energy biomass genetic selection wood quality. |
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 |
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 |
https://cerne.ufla.br/site/index.php/CERNE/article/view/932 |
url |
https://cerne.ufla.br/site/index.php/CERNE/article/view/932 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/932/707 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 CERNE info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 CERNE |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
CERNE CERNE |
publisher.none.fl_str_mv |
CERNE CERNE |
dc.source.none.fl_str_mv |
CERNE; Vol. 19 No. 4 (2013); 525-533 CERNE; v. 19 n. 4 (2013); 525-533 2317-6342 0104-7760 reponame:Cerne (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Cerne (Online) |
collection |
Cerne (Online) |
repository.name.fl_str_mv |
Cerne (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
cerne@dcf.ufla.br||cerne@dcf.ufla.br |
_version_ |
1799874942011965440 |