Estimation of common bean (Phaseolus vulgaris) leaf area by a non-destructive method

Detalhes bibliográficos
Autor(a) principal: Pohlmann, Valeria
Data de Publicação: 2021
Outros Autores: Lago, Isabel, Lopes, Sidinei José, Martins, Jéssica Taynara da Silva, Rosa, Caren Alessandra da, Caye, Milena, Portalanza, Diego
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41724
Resumo: The aim of this study was to develop mathematical models to estimate the leaf area of common bean (Phaseolus vulgaris) in irrigated and non-irrigated water regimes from linear dimensions. An experiment was carried out in a completely randomized design with a 3×2 factorial arrangement (three cultivars: Triunfo, Garapiá and FC 104; two water regimes: irrigated and non-irrigated) with 25 replicates each. A total of 523 trifoliates were collected throughout the crop cycle. The length (L, cm) and width (W, cm) of the central leaflet of the trifoliate were measured and their product (LW) (cm²) calculated. Then, the leaf area of these trifoliates was determined by digital photography methods using ImageJ® software, and using leaf discs. The number of samples required to estimate the leaf area of a trifoliate was determined to define which method is the most accurate to be used as the real leaf area in generating equations to estimate the leaf area in common bean. The relationship between area by digital photographs and the dimensions of the central leaflet of the trifoliate (L, W and LW) was fitted by linear, quadratic and power models. Subsequently, the predictive capacity of the equations was assessed by the root mean square error (cm2 trifoliate-1), mean absolute error (cm2 trifoliate-1), index of agreement and Pearson's correlation coefficient. Sample size varied between cultivars, water regimes and evaluation methods. It is more appropriate to use the leaf area provided by ImageJ® as real for comparison purposes in generating models to estimate leaf area from linear measurements, in common bean. The general equation LA = 1.092L1.945 can be used in the tested regimes without accuracy losses.
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spelling Estimation of common bean (Phaseolus vulgaris) leaf area by a non-destructive methodEstimativa da área foliar de feijão comum (Phaseolus vulgaris) por método não destrutivoDigital photographsLeaflet lengthMathematical modelPhaseolus vulgaris.Comprimento do folíoloFotos digitaisModelo matemáticoPhaseolus vulgaris.The aim of this study was to develop mathematical models to estimate the leaf area of common bean (Phaseolus vulgaris) in irrigated and non-irrigated water regimes from linear dimensions. An experiment was carried out in a completely randomized design with a 3×2 factorial arrangement (three cultivars: Triunfo, Garapiá and FC 104; two water regimes: irrigated and non-irrigated) with 25 replicates each. A total of 523 trifoliates were collected throughout the crop cycle. The length (L, cm) and width (W, cm) of the central leaflet of the trifoliate were measured and their product (LW) (cm²) calculated. Then, the leaf area of these trifoliates was determined by digital photography methods using ImageJ® software, and using leaf discs. The number of samples required to estimate the leaf area of a trifoliate was determined to define which method is the most accurate to be used as the real leaf area in generating equations to estimate the leaf area in common bean. The relationship between area by digital photographs and the dimensions of the central leaflet of the trifoliate (L, W and LW) was fitted by linear, quadratic and power models. Subsequently, the predictive capacity of the equations was assessed by the root mean square error (cm2 trifoliate-1), mean absolute error (cm2 trifoliate-1), index of agreement and Pearson's correlation coefficient. Sample size varied between cultivars, water regimes and evaluation methods. It is more appropriate to use the leaf area provided by ImageJ® as real for comparison purposes in generating models to estimate leaf area from linear measurements, in common bean. The general equation LA = 1.092L1.945 can be used in the tested regimes without accuracy losses.O objetivo desse trabalho foi determinar modelos matemáticos para estimar a área foliar de feijão comum (Phaseolus vulgaris) em regime hídrico irrigado e não irrigado, a partir de dimensões lineares. Para isso, foi realizado um experimento em delineamento inteiramente casualizado em esquema fatorial 3x2 (três cultivares: Triunfo, Garapiá e FC 104; dois regimes hídricos: irrigado, não irrigado) com 25 repetições cada. Foram coletados 523 trifólios ao longo do ciclo da cultura, mensurando-se o comprimento (C) (cm), largura (L) (cm) e calculado o seu produto (CL) (cm²) do folíolo central do trifólio. Na sequência, a área foliar desses trifólios foi determinada pelos métodos de fotos digitais com auxílio do software ImageJ® e por discos foliares. Foi investigado o número de amostras necessárias para estimar a área foliar de um trifólio, e assim, determinar qual método é o mais preciso para ser usado como área foliar real na obtenção de equações para estimar a área foliar em feijão. A relação entre a área por fotos digitais e as dimensões do folíolo central do trifólio (C, L, CL) foram ajustadas por modelos lineares, quadráticos e de potência e a capacidade preditiva das equações foi avaliada através da raiz quadrada média do erro (cm2 trifólio-1), erro médio absoluto (cm2 trifólio-1), índice de concordância e coeficiente de correlação de Pearson. O tamanho de amostra variou entre as cultivares, regimes hídricos e métodos de avaliação. É mais adequado utilizar a área foliar calculada pelo ImageJ® como real para fins de comparação na determinação de modelos para estimar a área foliar por medidas lineares em feijão. A equação geral AF = 1,092C1,945 pode ser utilizada nos regimes testadas sem perda na precisão.UEL2021-05-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionScientific researchPesquisa científicaapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/4172410.5433/1679-0359.2021v42n4p2163Semina: Ciências Agrárias; Vol. 42 No. 4 (2021); 2163-2180Semina: Ciências Agrárias; v. 42 n. 4 (2021); 2163-21801679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41724/29651Copyright (c) 2021 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessPohlmann, ValeriaLago, IsabelLopes, Sidinei JoséMartins, Jéssica Taynara da SilvaRosa, Caren Alessandra daCaye, MilenaPortalanza, Diego2022-09-30T13:56:42Zoai:ojs.pkp.sfu.ca:article/41724Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-09-30T13:56:42Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Estimation of common bean (Phaseolus vulgaris) leaf area by a non-destructive method
Estimativa da área foliar de feijão comum (Phaseolus vulgaris) por método não destrutivo
title Estimation of common bean (Phaseolus vulgaris) leaf area by a non-destructive method
spellingShingle Estimation of common bean (Phaseolus vulgaris) leaf area by a non-destructive method
Pohlmann, Valeria
Digital photographs
Leaflet length
Mathematical model
Phaseolus vulgaris.
Comprimento do folíolo
Fotos digitais
Modelo matemático
Phaseolus vulgaris.
title_short Estimation of common bean (Phaseolus vulgaris) leaf area by a non-destructive method
title_full Estimation of common bean (Phaseolus vulgaris) leaf area by a non-destructive method
title_fullStr Estimation of common bean (Phaseolus vulgaris) leaf area by a non-destructive method
title_full_unstemmed Estimation of common bean (Phaseolus vulgaris) leaf area by a non-destructive method
title_sort Estimation of common bean (Phaseolus vulgaris) leaf area by a non-destructive method
author Pohlmann, Valeria
author_facet Pohlmann, Valeria
Lago, Isabel
Lopes, Sidinei José
Martins, Jéssica Taynara da Silva
Rosa, Caren Alessandra da
Caye, Milena
Portalanza, Diego
author_role author
author2 Lago, Isabel
Lopes, Sidinei José
Martins, Jéssica Taynara da Silva
Rosa, Caren Alessandra da
Caye, Milena
Portalanza, Diego
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Pohlmann, Valeria
Lago, Isabel
Lopes, Sidinei José
Martins, Jéssica Taynara da Silva
Rosa, Caren Alessandra da
Caye, Milena
Portalanza, Diego
dc.subject.por.fl_str_mv Digital photographs
Leaflet length
Mathematical model
Phaseolus vulgaris.
Comprimento do folíolo
Fotos digitais
Modelo matemático
Phaseolus vulgaris.
topic Digital photographs
Leaflet length
Mathematical model
Phaseolus vulgaris.
Comprimento do folíolo
Fotos digitais
Modelo matemático
Phaseolus vulgaris.
description The aim of this study was to develop mathematical models to estimate the leaf area of common bean (Phaseolus vulgaris) in irrigated and non-irrigated water regimes from linear dimensions. An experiment was carried out in a completely randomized design with a 3×2 factorial arrangement (three cultivars: Triunfo, Garapiá and FC 104; two water regimes: irrigated and non-irrigated) with 25 replicates each. A total of 523 trifoliates were collected throughout the crop cycle. The length (L, cm) and width (W, cm) of the central leaflet of the trifoliate were measured and their product (LW) (cm²) calculated. Then, the leaf area of these trifoliates was determined by digital photography methods using ImageJ® software, and using leaf discs. The number of samples required to estimate the leaf area of a trifoliate was determined to define which method is the most accurate to be used as the real leaf area in generating equations to estimate the leaf area in common bean. The relationship between area by digital photographs and the dimensions of the central leaflet of the trifoliate (L, W and LW) was fitted by linear, quadratic and power models. Subsequently, the predictive capacity of the equations was assessed by the root mean square error (cm2 trifoliate-1), mean absolute error (cm2 trifoliate-1), index of agreement and Pearson's correlation coefficient. Sample size varied between cultivars, water regimes and evaluation methods. It is more appropriate to use the leaf area provided by ImageJ® as real for comparison purposes in generating models to estimate leaf area from linear measurements, in common bean. The general equation LA = 1.092L1.945 can be used in the tested regimes without accuracy losses.
publishDate 2021
dc.date.none.fl_str_mv 2021-05-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Scientific research
Pesquisa científica
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41724
10.5433/1679-0359.2021v42n4p2163
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41724
identifier_str_mv 10.5433/1679-0359.2021v42n4p2163
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41724/29651
dc.rights.driver.fl_str_mv Copyright (c) 2021 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 42 No. 4 (2021); 2163-2180
Semina: Ciências Agrárias; v. 42 n. 4 (2021); 2163-2180
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
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