Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/1519-6984.17012 http://hdl.handle.net/11449/114356 |
Resumo: | We developed linear equations to predict the leaf area (LA) of the species Styrax pohlii and Styrax ferrugineus using the width (W) and length (L) leaf dimensions. For both species the linear regression (Y=α+bX) using LA as a dependent variable vs. W × L as an independent variable was more efficient than linear regressions using L, W, L2 and W2 as independent variables. Therefore, the LA of S. pohlii can be estimated with the equation LA=0.582+0.683WL, while the LA of S. ferrugineus follows the equation LA=−0.666+0.704WL. |
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Repositório Institucional da UNESP |
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Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineusEquações lineares para estimativa de área foliar de Styrax pohlii e Styrax ferrugineusCerradoStyracaceaevalidaçãoregressãomodelos linearesBrazilian savannaStyracaceaevalidationregression analysislinear modelsWe developed linear equations to predict the leaf area (LA) of the species Styrax pohlii and Styrax ferrugineus using the width (W) and length (L) leaf dimensions. For both species the linear regression (Y=α+bX) using LA as a dependent variable vs. W × L as an independent variable was more efficient than linear regressions using L, W, L2 and W2 as independent variables. Therefore, the LA of S. pohlii can be estimated with the equation LA=0.582+0.683WL, while the LA of S. ferrugineus follows the equation LA=−0.666+0.704WL.Foram determinadas equações lineares para estimar a área foliar (AF) de Styrax pohlii e Styrax ferrugineus utilizando dimensões do limbo foliar (C – comprimento, L – largura). O modelo linear (Y=α+bX), utilizando AF vs. C × L, foi mais eficiente que os modelos lineares utilizando C, L, C2 e L2 como variáveis independentes na determinação da área foliar de S. pohlii e S. ferrugineus. Assim, a AF de S. pohlii pode ser estimada pelo modelo AF=0,582+0,683CL e a AF de S. ferrugineus pode ser estimada pelo modelo AF=−0,666+0,704CL.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Universidade Estadual Paulista Departamento de BotânicaUniv Estadual Paulista Instituto de Biociências Departamento de BotânicaUniversidade Estadual Paulista Departamento de BotânicaUniv Estadual Paulista Instituto de Biociências Departamento de BotânicaInstituto Internacional de EcologiaUniversidade Estadual Paulista (Unesp)Souza, McHabermann, G2015-02-02T12:39:28Z2015-02-02T12:39:28Z2014-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article222-225application/pdfhttp://dx.doi.org/10.1590/1519-6984.17012Brazilian Journal of Biology. Instituto Internacional de Ecologia, v. 74, n. 1, p. 222-225, 2014.1519-6984http://hdl.handle.net/11449/11435610.1590/1519-6984.17012S1519-69842014000100028S1519-69842014000100028.pdf9831073276253765SciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBrazilian Journal of Biology0.7840,523info:eu-repo/semantics/openAccess2024-01-21T06:24:59Zoai:repositorio.unesp.br:11449/114356Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:36:06.881318Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus Equações lineares para estimativa de área foliar de Styrax pohlii e Styrax ferrugineus |
title |
Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus |
spellingShingle |
Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus Souza, Mc Cerrado Styracaceae validação regressão modelos lineares Brazilian savanna Styracaceae validation regression analysis linear models |
title_short |
Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus |
title_full |
Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus |
title_fullStr |
Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus |
title_full_unstemmed |
Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus |
title_sort |
Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus |
author |
Souza, Mc |
author_facet |
Souza, Mc Habermann, G |
author_role |
author |
author2 |
Habermann, G |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Souza, Mc Habermann, G |
dc.subject.por.fl_str_mv |
Cerrado Styracaceae validação regressão modelos lineares Brazilian savanna Styracaceae validation regression analysis linear models |
topic |
Cerrado Styracaceae validação regressão modelos lineares Brazilian savanna Styracaceae validation regression analysis linear models |
description |
We developed linear equations to predict the leaf area (LA) of the species Styrax pohlii and Styrax ferrugineus using the width (W) and length (L) leaf dimensions. For both species the linear regression (Y=α+bX) using LA as a dependent variable vs. W × L as an independent variable was more efficient than linear regressions using L, W, L2 and W2 as independent variables. Therefore, the LA of S. pohlii can be estimated with the equation LA=0.582+0.683WL, while the LA of S. ferrugineus follows the equation LA=−0.666+0.704WL. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-02-01 2015-02-02T12:39:28Z 2015-02-02T12:39:28Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/1519-6984.17012 Brazilian Journal of Biology. Instituto Internacional de Ecologia, v. 74, n. 1, p. 222-225, 2014. 1519-6984 http://hdl.handle.net/11449/114356 10.1590/1519-6984.17012 S1519-69842014000100028 S1519-69842014000100028.pdf 9831073276253765 |
url |
http://dx.doi.org/10.1590/1519-6984.17012 http://hdl.handle.net/11449/114356 |
identifier_str_mv |
Brazilian Journal of Biology. Instituto Internacional de Ecologia, v. 74, n. 1, p. 222-225, 2014. 1519-6984 10.1590/1519-6984.17012 S1519-69842014000100028 S1519-69842014000100028.pdf 9831073276253765 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Brazilian Journal of Biology 0.784 0,523 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
222-225 application/pdf |
dc.publisher.none.fl_str_mv |
Instituto Internacional de Ecologia |
publisher.none.fl_str_mv |
Instituto Internacional de Ecologia |
dc.source.none.fl_str_mv |
SciELO reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129535372165120 |