Estimation of common bean (Phaseolus vulgaris) leaf area by a non-destructive method
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
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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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 |
_version_ |
1799306084706418688 |