Leaf geometric morphometrics among populations of Dalbergia ecastaphyllum (L.) Taub.
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
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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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|| |
_version_ |
1797069079008247808 |