Comparative analysis of mathematical equations to estimate leaf area in coffee trees

Detalhes bibliográficos
Autor(a) principal: Schmildt, Edilson Romais
Data de Publicação: 2014
Outros Autores: do Amaral, José Augusto Teixeira, Schmildt, Omar, Santos, Jeangelis Silva
Tipo de documento: Artigo
Idioma: por
Título da fonte: Coffee Science (Online)
Texto Completo: https://coffeescience.ufla.br/index.php/Coffeescience/article/view/573
Resumo: The measurement of the leaf area is required in many agronomic studies as one of the main parameters to evaluate plant growth. The aim of this work was to select the most appropriate mathematical equation to determine the leaf area of two coffee cultivars Red Catuaí and Catucaí, from their linear leaf dimensions (length, maximum width and length x maximum width), using the equations obtained in this work and the equations cited in the literature. In this work were assessed the models linear, power, circumscribed and exponential that are the most cited in the literature. The results obtained in this study indicate that the simple linear regression and power models equations gives the best estimation of leaf area for the two coffee cultivars ‘Red Catuaí’ and ‘Catucaí’, in the experimental conditions tested.
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spelling Comparative analysis of mathematical equations to estimate leaf area in coffee treesAnálise comparativa de equações para estimativa da área foliar em cafeeirosCoffea arabicaleaf dimensionnon-destructive methoddimensão foliarmétodo não destrutivoThe measurement of the leaf area is required in many agronomic studies as one of the main parameters to evaluate plant growth. The aim of this work was to select the most appropriate mathematical equation to determine the leaf area of two coffee cultivars Red Catuaí and Catucaí, from their linear leaf dimensions (length, maximum width and length x maximum width), using the equations obtained in this work and the equations cited in the literature. In this work were assessed the models linear, power, circumscribed and exponential that are the most cited in the literature. The results obtained in this study indicate that the simple linear regression and power models equations gives the best estimation of leaf area for the two coffee cultivars ‘Red Catuaí’ and ‘Catucaí’, in the experimental conditions tested.A mensuração da área foliar é requerida em vários estudos agronômicos por ser um dos principais parâmetros para avaliar o crescimento das plantas. Objetivou-se, neste trabalho, selecionar as equações que melhor se ajustem à determinação da área foliar dos cultivares de cafeeiro Catuaí Vermelho e Catucaí, a partir das dimensões lineares (comprimento, largura máxima e comprimento x largura máxima) do limbo foliar, utilizando-se as equações obtidas neste trabalho e as citados na literatura. Neste trabalho foram testados os modelos linear, circunscrito, potência e exponencial que são mais citados na literatura para estimativa de área foliar. Os resultados alcançados neste estudo permitem concluir que as equações obtidas pelo modelo de regressão linear simples e o potência são as que melhor expressam a estimativa da área foliar de cafeeiros ‘Catuaí Vermelho’ e‘Catucaí’, nas condições experimentais testadas.Editora UFLA2014-05-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/zipimage/x-ms-bmpimage/x-ms-bmpimage/x-ms-bmphttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/573Coffee Science - ISSN 1984-3909; Vol. 9 No. 2 (2014); 155-167Coffee Science; Vol. 9 Núm. 2 (2014); 155-167Coffee Science; v. 9 n. 2 (2014); 155-1671984-3909reponame:Coffee Science (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/573/pdf_81https://coffeescience.ufla.br/index.php/Coffeescience/article/view/573/1182https://coffeescience.ufla.br/index.php/Coffeescience/article/view/573/1183https://coffeescience.ufla.br/index.php/Coffeescience/article/view/573/1184https://coffeescience.ufla.br/index.php/Coffeescience/article/view/573/1185Copyright (c) 2014 Coffee Science - ISSN 1984-3909https://creativecommons.org/info:eu-repo/semantics/openAccessSchmildt, Edilson Romaisdo Amaral, José Augusto TeixeiraSchmildt, OmarSantos, Jeangelis Silva2014-06-05T22:21:47Zoai:coffeescience.ufla.br:article/573Revistahttps://coffeescience.ufla.br/index.php/CoffeesciencePUBhttps://coffeescience.ufla.br/index.php/Coffeescience/oaicoffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com1984-39091809-6875opendoar:2024-05-21T19:53:45.254212Coffee Science (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Comparative analysis of mathematical equations to estimate leaf area in coffee trees
Análise comparativa de equações para estimativa da área foliar em cafeeiros
title Comparative analysis of mathematical equations to estimate leaf area in coffee trees
spellingShingle Comparative analysis of mathematical equations to estimate leaf area in coffee trees
Schmildt, Edilson Romais
Coffea arabica
leaf dimension
non-destructive method
dimensão foliar
método não destrutivo
title_short Comparative analysis of mathematical equations to estimate leaf area in coffee trees
title_full Comparative analysis of mathematical equations to estimate leaf area in coffee trees
title_fullStr Comparative analysis of mathematical equations to estimate leaf area in coffee trees
title_full_unstemmed Comparative analysis of mathematical equations to estimate leaf area in coffee trees
title_sort Comparative analysis of mathematical equations to estimate leaf area in coffee trees
author Schmildt, Edilson Romais
author_facet Schmildt, Edilson Romais
do Amaral, José Augusto Teixeira
Schmildt, Omar
Santos, Jeangelis Silva
author_role author
author2 do Amaral, José Augusto Teixeira
Schmildt, Omar
Santos, Jeangelis Silva
author2_role author
author
author
dc.contributor.author.fl_str_mv Schmildt, Edilson Romais
do Amaral, José Augusto Teixeira
Schmildt, Omar
Santos, Jeangelis Silva
dc.subject.por.fl_str_mv Coffea arabica
leaf dimension
non-destructive method
dimensão foliar
método não destrutivo
topic Coffea arabica
leaf dimension
non-destructive method
dimensão foliar
método não destrutivo
description The measurement of the leaf area is required in many agronomic studies as one of the main parameters to evaluate plant growth. The aim of this work was to select the most appropriate mathematical equation to determine the leaf area of two coffee cultivars Red Catuaí and Catucaí, from their linear leaf dimensions (length, maximum width and length x maximum width), using the equations obtained in this work and the equations cited in the literature. In this work were assessed the models linear, power, circumscribed and exponential that are the most cited in the literature. The results obtained in this study indicate that the simple linear regression and power models equations gives the best estimation of leaf area for the two coffee cultivars ‘Red Catuaí’ and ‘Catucaí’, in the experimental conditions tested.
publishDate 2014
dc.date.none.fl_str_mv 2014-05-13
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://coffeescience.ufla.br/index.php/Coffeescience/article/view/573
url https://coffeescience.ufla.br/index.php/Coffeescience/article/view/573
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://coffeescience.ufla.br/index.php/Coffeescience/article/view/573/pdf_81
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/573/1182
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/573/1183
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/573/1184
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/573/1185
dc.rights.driver.fl_str_mv Copyright (c) 2014 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2014 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/zip
image/x-ms-bmp
image/x-ms-bmp
image/x-ms-bmp
dc.publisher.none.fl_str_mv Editora UFLA
publisher.none.fl_str_mv Editora UFLA
dc.source.none.fl_str_mv Coffee Science - ISSN 1984-3909; Vol. 9 No. 2 (2014); 155-167
Coffee Science; Vol. 9 Núm. 2 (2014); 155-167
Coffee Science; v. 9 n. 2 (2014); 155-167
1984-3909
reponame:Coffee Science (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Coffee Science (Online)
collection Coffee Science (Online)
repository.name.fl_str_mv Coffee Science (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv coffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com
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