Comparative analysis of mathematical equations to estimate leaf area in coffee trees
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , |
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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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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1799874919638499328 |