Leaf geometric morphometrics among populations of Dalbergia ecastaphyllum (L.) Taub.

Detalhes bibliográficos
Autor(a) principal: Morais, Daniel Vieira de
Data de Publicação: 2019
Outros Autores: Nunes, Lorena Andrade, Mata, Vandira Pereira da, Costa, Maria Angélica Pereira de Carvalho, Sodré, Geni da Silva, Carvalho, Carlos Alfredo Lopes de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/39814
Resumo: Leaves are plant structures that express important traits of the environment where they live. Leaf description has allowed identification of plant species as well as investigation of abiotic factors effects on their development, such as gases, light, temperature, and herbivory. This study described populations of Dalbergia ecastaphyllum through leaf geometric morphometrics in Brazil. We evaluated 200 leaves from four populations. The principal component analysis (PCA) showed that the first four principal components were responsible for 97.81% of variation. The non-parametric multivariate analysis of variance (NPMANOVA) indicated significant difference between samples (p = 0.0001). The Mentel test showed no correlation between geographical distances and shape. The canonical variate analysis (CVA) indicated that the first two variables were responsible for 96.77 % of total variation, while the cross-validation test showed an average of 83.33%. D. ecastaphyllum leaves are elliptical and ovate.
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spelling Leaf geometric morphometrics among populations of Dalbergia ecastaphyllum (L.) Taub.Morfometria geométrica foliar entre populações de Dalbergia ecastaphyllum (L.) Taub. do BrasilShapeMorphometric variationFabaceaeAgricultural Sciences Leaves are plant structures that express important traits of the environment where they live. Leaf description has allowed identification of plant species as well as investigation of abiotic factors effects on their development, such as gases, light, temperature, and herbivory. This study described populations of Dalbergia ecastaphyllum through leaf geometric morphometrics in Brazil. We evaluated 200 leaves from four populations. The principal component analysis (PCA) showed that the first four principal components were responsible for 97.81% of variation. The non-parametric multivariate analysis of variance (NPMANOVA) indicated significant difference between samples (p = 0.0001). The Mentel test showed no correlation between geographical distances and shape. The canonical variate analysis (CVA) indicated that the first two variables were responsible for 96.77 % of total variation, while the cross-validation test showed an average of 83.33%. D. ecastaphyllum leaves are elliptical and ovate.As folhas são estruturas presentes nas plantas que expressam importantes características de acordo com o ambiente no qual estão inseridas. Ao longo dos anos, a sua caracterização tem permitido identificar espécies vegetais e correlacionar o efeito de fatores abióticos como gases, luz, temperatura e herbivoria sob o seu desenvolvimento. O presente estudo teve como descrever populações de Dalbergia ecastaphyllum do Brasil utilizando a morfometria geométrica foliar. Foram avaliadas 200 folhas de quatro populações desta espécie. Análise de componentes principais (ACP) mostrou que os quatro primeiros componentes principais explicaram 97,81% da variação. A Análise de variância multivariada com teste não-paramétrico (NPMANOVA) indicou não haver diferença entres as amostras (p= 0,0001). Os resultados do teste de Mentel mostraram que não houve correlação das distâncias geográficas com a forma. Na análise de variação canônica, as duas primeiras variáveis responderam por 96,77 % da variação total, enquanto uma média de 83,33% foi encontrada pelo teste de validação cruzada. As folhas de D. ecastaphullym são elípticas e ovadas.EDUFU2019-12-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3981410.14393/BJ-v35n6a2019-39814Bioscience Journal ; Vol. 35 No. 6 (2019): Nov./Dec.; 1789-1798Bioscience Journal ; v. 35 n. 6 (2019): Nov./Dec.; 1789-17981981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/39814/27458Brazil; ContemporaryCopyright (c) 2019 Daniel Vieira de Morais, Lorena Andrade Nunes, Vandira Pereira da Mata, Maria Angélica Pereira de Carvalho Costa, Geni da Silva Sodré, Carlos Alfredo Lopes de Carvalhohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMorais, Daniel Vieira deNunes, Lorena AndradeMata, Vandira Pereira daCosta, Maria Angélica Pereira de CarvalhoSodré, Geni da SilvaCarvalho, Carlos Alfredo Lopes de2022-01-24T00:34:48Zoai:ojs.www.seer.ufu.br:article/39814Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-01-24T00:34:48Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Leaf geometric morphometrics among populations of Dalbergia ecastaphyllum (L.) Taub.
Morfometria geométrica foliar entre populações de Dalbergia ecastaphyllum (L.) Taub. do Brasil
title Leaf geometric morphometrics among populations of Dalbergia ecastaphyllum (L.) Taub.
spellingShingle Leaf geometric morphometrics among populations of Dalbergia ecastaphyllum (L.) Taub.
Morais, Daniel Vieira de
Shape
Morphometric variation
Fabaceae
Agricultural Sciences
title_short Leaf geometric morphometrics among populations of Dalbergia ecastaphyllum (L.) Taub.
title_full Leaf geometric morphometrics among populations of Dalbergia ecastaphyllum (L.) Taub.
title_fullStr Leaf geometric morphometrics among populations of Dalbergia ecastaphyllum (L.) Taub.
title_full_unstemmed Leaf geometric morphometrics among populations of Dalbergia ecastaphyllum (L.) Taub.
title_sort Leaf geometric morphometrics among populations of Dalbergia ecastaphyllum (L.) Taub.
author Morais, Daniel Vieira de
author_facet Morais, Daniel Vieira de
Nunes, Lorena Andrade
Mata, Vandira Pereira da
Costa, Maria Angélica Pereira de Carvalho
Sodré, Geni da Silva
Carvalho, Carlos Alfredo Lopes de
author_role author
author2 Nunes, Lorena Andrade
Mata, Vandira Pereira da
Costa, Maria Angélica Pereira de Carvalho
Sodré, Geni da Silva
Carvalho, Carlos Alfredo Lopes de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Morais, Daniel Vieira de
Nunes, Lorena Andrade
Mata, Vandira Pereira da
Costa, Maria Angélica Pereira de Carvalho
Sodré, Geni da Silva
Carvalho, Carlos Alfredo Lopes de
dc.subject.por.fl_str_mv Shape
Morphometric variation
Fabaceae
Agricultural Sciences
topic Shape
Morphometric variation
Fabaceae
Agricultural Sciences
description Leaves are plant structures that express important traits of the environment where they live. Leaf description has allowed identification of plant species as well as investigation of abiotic factors effects on their development, such as gases, light, temperature, and herbivory. This study described populations of Dalbergia ecastaphyllum through leaf geometric morphometrics in Brazil. We evaluated 200 leaves from four populations. The principal component analysis (PCA) showed that the first four principal components were responsible for 97.81% of variation. The non-parametric multivariate analysis of variance (NPMANOVA) indicated significant difference between samples (p = 0.0001). The Mentel test showed no correlation between geographical distances and shape. The canonical variate analysis (CVA) indicated that the first two variables were responsible for 96.77 % of total variation, while the cross-validation test showed an average of 83.33%. D. ecastaphyllum leaves are elliptical and ovate.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-02
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.ufu.br/index.php/biosciencejournal/article/view/39814
10.14393/BJ-v35n6a2019-39814
url https://seer.ufu.br/index.php/biosciencejournal/article/view/39814
identifier_str_mv 10.14393/BJ-v35n6a2019-39814
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/39814/27458
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 35 No. 6 (2019): Nov./Dec.; 1789-1798
Bioscience Journal ; v. 35 n. 6 (2019): Nov./Dec.; 1789-1798
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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