Statistical parameters to estimate the leaf area of native forest seedlings of genus Tabebuia and Handroanthus

Detalhes bibliográficos
Autor(a) principal: Monteiro, Emanoeli Borges
Data de Publicação: 2017
Outros Autores: Silva, Andréa Carvalho da, Souza, Adilson Pacheco de, Silva, Cátia Cardoso da, Kazama, Verônica Satomi, Tanaka, Adriana Aki
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/33977
Resumo: Leaf area (LA) is an important parameter for physiological and phytotechnical studies and its measurement in a fast, accurate, and inexpensive way is essential and desirable. In this context, mathematical modeling is used as a tool to estimate leaf area from its relation with biometrical parameters and biomass. This study aimed to generate, validate, and determine the best mathematical estimation models of leaf area using the linear variables length (with and without petiole) and width of leaves and leaflets, in addition to dry mass of the native species Tabebuia roseoalba, Tabebuia impetiginosa and Handroanthus chrysotrichus collected in Sinop, Mato Grosso State (Brazil), between January and March 2014. The model assessment was performed by the method of weighted values of statistical indicators. The models based on linear measurements as independent variable that provided best performance of LA estimation for T. impetiginosa and T. roseoalba use the average leaflet width (Wla) measurements: LA=10.919×Wla1.854 and LA=6.196×Wla1.684, respectively. For H. chrysotrichus, the model was based on the length and width of leaves (L and W): LA=(0.383×L×W)+16.586. The best models of leaf area estimation considering dry mass (DM) were LA=119.510×DM−32.044×DM2 for H. chrysotrichus, LA=143.610×DM−6.383×DM2 for T. impetiginosa, and LA=90.623×DM for T. roseoalba.
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spelling Statistical parameters to estimate the leaf area of native forest seedlings of genus Tabebuia and Handroanthus Parâmetros estatísticos para estimar a área foliar de mudas de espécies nativas dos gêneros Tabebuia e Handroanthus Regression analisysBiometricsFoliar measurementsStatistical indicatorAgricultural SciencesLeaf area (LA) is an important parameter for physiological and phytotechnical studies and its measurement in a fast, accurate, and inexpensive way is essential and desirable. In this context, mathematical modeling is used as a tool to estimate leaf area from its relation with biometrical parameters and biomass. This study aimed to generate, validate, and determine the best mathematical estimation models of leaf area using the linear variables length (with and without petiole) and width of leaves and leaflets, in addition to dry mass of the native species Tabebuia roseoalba, Tabebuia impetiginosa and Handroanthus chrysotrichus collected in Sinop, Mato Grosso State (Brazil), between January and March 2014. The model assessment was performed by the method of weighted values of statistical indicators. The models based on linear measurements as independent variable that provided best performance of LA estimation for T. impetiginosa and T. roseoalba use the average leaflet width (Wla) measurements: LA=10.919×Wla1.854 and LA=6.196×Wla1.684, respectively. For H. chrysotrichus, the model was based on the length and width of leaves (L and W): LA=(0.383×L×W)+16.586. The best models of leaf area estimation considering dry mass (DM) were LA=119.510×DM−32.044×DM2 for H. chrysotrichus, LA=143.610×DM−6.383×DM2 for T. impetiginosa, and LA=90.623×DM for T. roseoalba.A área foliar (AF) é um importante parâmetro para estudos fisiológicos e fitotécnicos, e sua obtenção de forma rápida, precisa e com baixos custos é essencial e desejável. Neste contexto, a modelagem matemática é empregada como ferramenta para estimar a AF a partir de sua relação com parâmetros biométricos e biomassa. Este estudo objetivou gerar, validar e determinar os melhores modelos de estimativa matemática de AF utilizando as variáveis lineares comprimento (com e sem pecíolo) e largura das folhas e folíolos; e a partir de massa seca das espécies nativas Tabebuia roseoalba, Tabebuia impetiginosa e Handroanthus chrysotrichus coletadas em Sinop, Mato Grosso (Brasil) entre janeiro e março de 2014. A avaliação dos modelos foi realizada pelo método dos valores ponderados das estimativas estatísticas. Os modelos baseados em medidas lineares como variáveis independentes que proporcionaram melhor desempenho na estimativa da AF para T. impetiginosa e T. roseoalba empregam a média da largura dos folíolos (Lfm): AF=10.919×(Lfm1.854) e AF=6.196×(Lfm1.684), respectivamente. Para H. chrysotrichus o modelo baseia-se no comprimento e largura das folhas (C e L): AF=(0.383×C×L)+16.586. Os melhores modelos de estimativa de área foliar considerando massa seca (MS) foram AF=119.510×MS−32.044×MS² para H. chrysotrichus, AF=143.610×MS−6,383×MS² para T. impetiginosa e AF=90.623×MS para T. roseoalba.EDUFU2017-07-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3397710.14393/BJ-v33n4a2017-33977Bioscience Journal ; Vol. 33 No. 4 (2017): July/Aug.; 956-967Bioscience Journal ; v. 33 n. 4 (2017): July/Aug.; 956-9671981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/33977/20663Brazil; ContemporaryCopyright (c) 2017 Emanoeli Borges Monteiro, Andréa Carvalho da Silva, Adilson Pacheco de Souza, Cátia Cardoso da Silva, Verônica Satomi Kazama, Adriana Aki Tanakahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMonteiro, Emanoeli BorgesSilva, Andréa Carvalho daSouza, Adilson Pacheco deSilva, Cátia Cardoso daKazama, Verônica SatomiTanaka, Adriana Aki2022-02-14T01:22:31Zoai:ojs.www.seer.ufu.br:article/33977Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-14T01:22:31Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Statistical parameters to estimate the leaf area of native forest seedlings of genus Tabebuia and Handroanthus
Parâmetros estatísticos para estimar a área foliar de mudas de espécies nativas dos gêneros Tabebuia e Handroanthus
title Statistical parameters to estimate the leaf area of native forest seedlings of genus Tabebuia and Handroanthus
spellingShingle Statistical parameters to estimate the leaf area of native forest seedlings of genus Tabebuia and Handroanthus
Monteiro, Emanoeli Borges
Regression analisys
Biometrics
Foliar measurements
Statistical indicator
Agricultural Sciences
title_short Statistical parameters to estimate the leaf area of native forest seedlings of genus Tabebuia and Handroanthus
title_full Statistical parameters to estimate the leaf area of native forest seedlings of genus Tabebuia and Handroanthus
title_fullStr Statistical parameters to estimate the leaf area of native forest seedlings of genus Tabebuia and Handroanthus
title_full_unstemmed Statistical parameters to estimate the leaf area of native forest seedlings of genus Tabebuia and Handroanthus
title_sort Statistical parameters to estimate the leaf area of native forest seedlings of genus Tabebuia and Handroanthus
author Monteiro, Emanoeli Borges
author_facet Monteiro, Emanoeli Borges
Silva, Andréa Carvalho da
Souza, Adilson Pacheco de
Silva, Cátia Cardoso da
Kazama, Verônica Satomi
Tanaka, Adriana Aki
author_role author
author2 Silva, Andréa Carvalho da
Souza, Adilson Pacheco de
Silva, Cátia Cardoso da
Kazama, Verônica Satomi
Tanaka, Adriana Aki
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Monteiro, Emanoeli Borges
Silva, Andréa Carvalho da
Souza, Adilson Pacheco de
Silva, Cátia Cardoso da
Kazama, Verônica Satomi
Tanaka, Adriana Aki
dc.subject.por.fl_str_mv Regression analisys
Biometrics
Foliar measurements
Statistical indicator
Agricultural Sciences
topic Regression analisys
Biometrics
Foliar measurements
Statistical indicator
Agricultural Sciences
description Leaf area (LA) is an important parameter for physiological and phytotechnical studies and its measurement in a fast, accurate, and inexpensive way is essential and desirable. In this context, mathematical modeling is used as a tool to estimate leaf area from its relation with biometrical parameters and biomass. This study aimed to generate, validate, and determine the best mathematical estimation models of leaf area using the linear variables length (with and without petiole) and width of leaves and leaflets, in addition to dry mass of the native species Tabebuia roseoalba, Tabebuia impetiginosa and Handroanthus chrysotrichus collected in Sinop, Mato Grosso State (Brazil), between January and March 2014. The model assessment was performed by the method of weighted values of statistical indicators. The models based on linear measurements as independent variable that provided best performance of LA estimation for T. impetiginosa and T. roseoalba use the average leaflet width (Wla) measurements: LA=10.919×Wla1.854 and LA=6.196×Wla1.684, respectively. For H. chrysotrichus, the model was based on the length and width of leaves (L and W): LA=(0.383×L×W)+16.586. The best models of leaf area estimation considering dry mass (DM) were LA=119.510×DM−32.044×DM2 for H. chrysotrichus, LA=143.610×DM−6.383×DM2 for T. impetiginosa, and LA=90.623×DM for T. roseoalba.
publishDate 2017
dc.date.none.fl_str_mv 2017-07-25
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/33977
10.14393/BJ-v33n4a2017-33977
url https://seer.ufu.br/index.php/biosciencejournal/article/view/33977
identifier_str_mv 10.14393/BJ-v33n4a2017-33977
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/33977/20663
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. 33 No. 4 (2017): July/Aug.; 956-967
Bioscience Journal ; v. 33 n. 4 (2017): July/Aug.; 956-967
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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