Multivariate analysis for the selection of eucalyptus clones destined for charcoal production
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/13580 |
Resumo: | The objective of this work was to evaluate the wood quality of Eucalyptus spp. clones for the production of charcoal, to study the correlations between wood and charcoal properties, and to identify clones with the greatest potential for energy use. Data of clones from 18 settlements, in the Cerrado region of the state of Minas Gerais, Brazil, were subjected to the multivariate analysis of the canonical correlation analysis; principal component analysis; and cluster analysis. Charcoal properties are strongly correlated with the wood ones, mainly charcoal bulk density and gravimetric yield. Older materials with higher wood density have a higher quality for energy use. Principal component analysis is efficient to rank the materials as for wood quality, and the clustering method is able to successfully stratify clones by their wood quality. |
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Multivariate analysis for the selection of eucalyptus clones destined for charcoal productionAnálise multivariada para seleção de clones de eucalipto destinados à produção de carvão vegetalEucalyptus; principal components; multivariate statistics; energy forests; wood technological properties; charcoal yieldEucalyptus; componentes principais; estatística multivariada; florestas energéticas; propriedades tecnológicas da madeira; rendimento em carvãoThe objective of this work was to evaluate the wood quality of Eucalyptus spp. clones for the production of charcoal, to study the correlations between wood and charcoal properties, and to identify clones with the greatest potential for energy use. Data of clones from 18 settlements, in the Cerrado region of the state of Minas Gerais, Brazil, were subjected to the multivariate analysis of the canonical correlation analysis; principal component analysis; and cluster analysis. Charcoal properties are strongly correlated with the wood ones, mainly charcoal bulk density and gravimetric yield. Older materials with higher wood density have a higher quality for energy use. Principal component analysis is efficient to rank the materials as for wood quality, and the clustering method is able to successfully stratify clones by their wood quality.O objetivo deste trabalho foi avaliar a qualidade da madeira de clones de Eucalyptus spp. destinados à produção de carvão vegetal, estudar correlações entre propriedades da madeira e do carvão e identificar os clones com maior potencial para uso energético. Os dados de clones de 18 povoamentos, no Cerrado mineiro, foram submetidos às análises multivariada de correlação canônica; de componentes principais; e de agrupamento. As propriedades do carvão vegetal são fortemente correlacionadas às da madeira, principalmente a densidade aparente do carvão vegetal e o rendimento gravimétrico. Os materiais mais velhos e de maior densidade básica da madeira apresentam maior qualidade para uso energético. A análise de componentes principais é eficiente para ranquear os materiais quanto à qualidade da madeira, e o método de agrupamento é capaz de estratificar com sucesso os clones pela qualidade da madeira.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCastro, Ana Flávia Neves MendesCastro, Renato Vinícius OliveiraCarneiro, Angélica de Cássia OliveiraLima, João Eustáquio deSantos, Rosimeire Cavalcante dosPereira, Bárbara Luísa CorradiAlves, Isabel Cristina Nogueira2013-09-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/13580Pesquisa Agropecuaria Brasileira; v.48, n.6, jun. 2013; 627-635Pesquisa Agropecuária Brasileira; v.48, n.6, jun. 2013; 627-6351678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/13580/12154https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/13580/9175info:eu-repo/semantics/openAccess2013-09-05T19:39:28Zoai:ojs.seer.sct.embrapa.br:article/13580Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2013-09-05T19:39:28Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Multivariate analysis for the selection of eucalyptus clones destined for charcoal production Análise multivariada para seleção de clones de eucalipto destinados à produção de carvão vegetal |
title |
Multivariate analysis for the selection of eucalyptus clones destined for charcoal production |
spellingShingle |
Multivariate analysis for the selection of eucalyptus clones destined for charcoal production Castro, Ana Flávia Neves Mendes Eucalyptus; principal components; multivariate statistics; energy forests; wood technological properties; charcoal yield Eucalyptus; componentes principais; estatística multivariada; florestas energéticas; propriedades tecnológicas da madeira; rendimento em carvão |
title_short |
Multivariate analysis for the selection of eucalyptus clones destined for charcoal production |
title_full |
Multivariate analysis for the selection of eucalyptus clones destined for charcoal production |
title_fullStr |
Multivariate analysis for the selection of eucalyptus clones destined for charcoal production |
title_full_unstemmed |
Multivariate analysis for the selection of eucalyptus clones destined for charcoal production |
title_sort |
Multivariate analysis for the selection of eucalyptus clones destined for charcoal production |
author |
Castro, Ana Flávia Neves Mendes |
author_facet |
Castro, Ana Flávia Neves Mendes Castro, Renato Vinícius Oliveira Carneiro, Angélica de Cássia Oliveira Lima, João Eustáquio de Santos, Rosimeire Cavalcante dos Pereira, Bárbara Luísa Corradi Alves, Isabel Cristina Nogueira |
author_role |
author |
author2 |
Castro, Renato Vinícius Oliveira Carneiro, Angélica de Cássia Oliveira Lima, João Eustáquio de Santos, Rosimeire Cavalcante dos Pereira, Bárbara Luísa Corradi Alves, Isabel Cristina Nogueira |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Castro, Ana Flávia Neves Mendes Castro, Renato Vinícius Oliveira Carneiro, Angélica de Cássia Oliveira Lima, João Eustáquio de Santos, Rosimeire Cavalcante dos Pereira, Bárbara Luísa Corradi Alves, Isabel Cristina Nogueira |
dc.subject.por.fl_str_mv |
Eucalyptus; principal components; multivariate statistics; energy forests; wood technological properties; charcoal yield Eucalyptus; componentes principais; estatística multivariada; florestas energéticas; propriedades tecnológicas da madeira; rendimento em carvão |
topic |
Eucalyptus; principal components; multivariate statistics; energy forests; wood technological properties; charcoal yield Eucalyptus; componentes principais; estatística multivariada; florestas energéticas; propriedades tecnológicas da madeira; rendimento em carvão |
description |
The objective of this work was to evaluate the wood quality of Eucalyptus spp. clones for the production of charcoal, to study the correlations between wood and charcoal properties, and to identify clones with the greatest potential for energy use. Data of clones from 18 settlements, in the Cerrado region of the state of Minas Gerais, Brazil, were subjected to the multivariate analysis of the canonical correlation analysis; principal component analysis; and cluster analysis. Charcoal properties are strongly correlated with the wood ones, mainly charcoal bulk density and gravimetric yield. Older materials with higher wood density have a higher quality for energy use. Principal component analysis is efficient to rank the materials as for wood quality, and the clustering method is able to successfully stratify clones by their wood quality. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-09-05 |
dc.type.none.fl_str_mv |
|
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://seer.sct.embrapa.br/index.php/pab/article/view/13580 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/13580 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/13580/12154 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/13580/9175 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.48, n.6, jun. 2013; 627-635 Pesquisa Agropecuária Brasileira; v.48, n.6, jun. 2013; 627-635 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416670387109888 |