Estimation of buckwheat leaf area by leaf dimensions
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/41574 |
Resumo: | The objective of this work was to model and identify the best models for estimating the leaf area, determined by digital photos, of buckwheat (Fagopyrum esculentum Moench) of the cultivars IPR91-Baili and IPR92-Altar, as a function of length (L), width (W) or length x width product (LW) of the leaf blade. Ten uniformity trials (blank experiments) were carried out, five with IPR91-Baili cultivar and five with IPR92-Altar cultivar. The trials were performed on five sowing dates. In each trial and cultivar, expanded leaves were collected at random from the lower, middle and upper segments of the plants, totaling 1,815 leaves. In these 1,815 leaves, L and W were measured and the LW of the leaf blade was calculated, which were used as independent variables in the model. The leaf area of each leaf was determined using the digital photo method (Y), which was used as a dependent variable of the model. For each sowing date, cultivar and thirds of the plant, 80% of the leaves (1,452 leaves) were randomly separated for the generation of the models and 20% of the leaves (363 leaves) for the validation of the models of leaf area estimation as a function of linear dimensions. For buckwheat, IPR91-Baili and IPR92-Altar cultivars, the quadratic model (Y = 0.5217 + 0.6581LW + 0.0004LW2, R2 = 0.9590), power model (Y = 0.6809LW1.0037, R2 = 0.9587), linear model (Y = 0.0653 + 0.6892LW, R2 = 0.9587) and linear model without intercept (Y = 0.6907LW, R2 = 0.9587) are indicated for the estimation of leaf area determined by digital photos (Y) based on the LW of the leaf blade (x), and, preferably, the linear model without intercept can be used, due to its greater simplicity. |
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Estimation of buckwheat leaf area by leaf dimensionsEstimação de área foliar de trigo mourisco por dimensões foliaresLeaf area by digital photosFagopyrum esculentum MoenchNon-destructive methodModelingBuckwheat.Leaf area by digital photosFagopyrum esculentum MoenchNon-destructive methodModelingBuckwheat.The objective of this work was to model and identify the best models for estimating the leaf area, determined by digital photos, of buckwheat (Fagopyrum esculentum Moench) of the cultivars IPR91-Baili and IPR92-Altar, as a function of length (L), width (W) or length x width product (LW) of the leaf blade. Ten uniformity trials (blank experiments) were carried out, five with IPR91-Baili cultivar and five with IPR92-Altar cultivar. The trials were performed on five sowing dates. In each trial and cultivar, expanded leaves were collected at random from the lower, middle and upper segments of the plants, totaling 1,815 leaves. In these 1,815 leaves, L and W were measured and the LW of the leaf blade was calculated, which were used as independent variables in the model. The leaf area of each leaf was determined using the digital photo method (Y), which was used as a dependent variable of the model. For each sowing date, cultivar and thirds of the plant, 80% of the leaves (1,452 leaves) were randomly separated for the generation of the models and 20% of the leaves (363 leaves) for the validation of the models of leaf area estimation as a function of linear dimensions. For buckwheat, IPR91-Baili and IPR92-Altar cultivars, the quadratic model (Y = 0.5217 + 0.6581LW + 0.0004LW2, R2 = 0.9590), power model (Y = 0.6809LW1.0037, R2 = 0.9587), linear model (Y = 0.0653 + 0.6892LW, R2 = 0.9587) and linear model without intercept (Y = 0.6907LW, R2 = 0.9587) are indicated for the estimation of leaf area determined by digital photos (Y) based on the LW of the leaf blade (x), and, preferably, the linear model without intercept can be used, due to its greater simplicity.O objetivo deste trabalho foi modelar e identificar os melhores modelos para a estimação da área foliar determinada por fotos digitais, de trigo mourisco (Fagopyrum esculentum Moench) das cultivares IPR91-Baili e IPR92-Altar, em função do comprimento, ou da largura e/ou do produto comprimento vezes largura do limbo foliar. Foram conduzidos dez ensaios de uniformidade (experimentos em branco), sendo cinco com a cultivar IPR91-Baili e cinco com a cultivar IPR92-Altar. Os ensaios foram realizados em cinco datas de semeadura. Em cada ensaio e cultivar foram coletadas, aleatoriamente, folhas expandidas dos terços inferior, médio e superior das plantas, totalizando 1.815 folhas. Nessas 1.815 folhas, foram mensurados o comprimento (C) e a largura (L) e calculado o produto do comprimento vezes a largura (CL) do limbo foliar. Determinou-se a área foliar de cada folha, por meio do método de fotos digitais (Y). Para cada data de semeadura, cultivar e terços da planta foram separadas, aleatoriamente, 80% das folhas (1.452 folhas) para a geração de modelos e 20% das folhas (363 folhas) para a validação dos modelos de estimação da área foliar em função das dimensões lineares. Para o trigo mourisco, cultivares IPR91-Baili e IPR92-Altar, os modelos quadrático (? = 0,5217 + 0,6581x + 0,0004x2, R2 = 0,9590), potência (? = 0,6809x1,0037, R2 = 0,9587), linear (? = 0,0653 + 0,6892x, R2 = 0,9587) e linear sem intercepto (? = 0,6907x, R2 = 0,9587), são indicados para a estimação da área foliar determinada por fotos digitais (Y) com base no produto comprimento vezes largura do limbo foliar (x), podendo, preferencialmente, ser utilizado o modelo linear sem intercepto, devido a sua maior simplicidade.UEL2021-04-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa Científicaapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/4157410.5433/1679-0359.2021v42n3Supl1p1529Semina: Ciências Agrárias; Vol. 42 No. 3Supl1 (2021); 1529-1548Semina: Ciências Agrárias; v. 42 n. 3Supl1 (2021); 1529-15481679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41574/29439Copyright (c) 2021 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessCargnelutti Filho, AlbertoPezzini, Rafael VieiraNeu, Ismael Mario MárcioDumke, Gabriel Elias2022-09-30T15:56:50Zoai:ojs.pkp.sfu.ca:article/41574Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-09-30T15:56:50Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false |
dc.title.none.fl_str_mv |
Estimation of buckwheat leaf area by leaf dimensions Estimação de área foliar de trigo mourisco por dimensões foliares |
title |
Estimation of buckwheat leaf area by leaf dimensions |
spellingShingle |
Estimation of buckwheat leaf area by leaf dimensions Cargnelutti Filho, Alberto Leaf area by digital photos Fagopyrum esculentum Moench Non-destructive method Modeling Buckwheat. Leaf area by digital photos Fagopyrum esculentum Moench Non-destructive method Modeling Buckwheat. |
title_short |
Estimation of buckwheat leaf area by leaf dimensions |
title_full |
Estimation of buckwheat leaf area by leaf dimensions |
title_fullStr |
Estimation of buckwheat leaf area by leaf dimensions |
title_full_unstemmed |
Estimation of buckwheat leaf area by leaf dimensions |
title_sort |
Estimation of buckwheat leaf area by leaf dimensions |
author |
Cargnelutti Filho, Alberto |
author_facet |
Cargnelutti Filho, Alberto Pezzini, Rafael Vieira Neu, Ismael Mario Márcio Dumke, Gabriel Elias |
author_role |
author |
author2 |
Pezzini, Rafael Vieira Neu, Ismael Mario Márcio Dumke, Gabriel Elias |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Cargnelutti Filho, Alberto Pezzini, Rafael Vieira Neu, Ismael Mario Márcio Dumke, Gabriel Elias |
dc.subject.por.fl_str_mv |
Leaf area by digital photos Fagopyrum esculentum Moench Non-destructive method Modeling Buckwheat. Leaf area by digital photos Fagopyrum esculentum Moench Non-destructive method Modeling Buckwheat. |
topic |
Leaf area by digital photos Fagopyrum esculentum Moench Non-destructive method Modeling Buckwheat. Leaf area by digital photos Fagopyrum esculentum Moench Non-destructive method Modeling Buckwheat. |
description |
The objective of this work was to model and identify the best models for estimating the leaf area, determined by digital photos, of buckwheat (Fagopyrum esculentum Moench) of the cultivars IPR91-Baili and IPR92-Altar, as a function of length (L), width (W) or length x width product (LW) of the leaf blade. Ten uniformity trials (blank experiments) were carried out, five with IPR91-Baili cultivar and five with IPR92-Altar cultivar. The trials were performed on five sowing dates. In each trial and cultivar, expanded leaves were collected at random from the lower, middle and upper segments of the plants, totaling 1,815 leaves. In these 1,815 leaves, L and W were measured and the LW of the leaf blade was calculated, which were used as independent variables in the model. The leaf area of each leaf was determined using the digital photo method (Y), which was used as a dependent variable of the model. For each sowing date, cultivar and thirds of the plant, 80% of the leaves (1,452 leaves) were randomly separated for the generation of the models and 20% of the leaves (363 leaves) for the validation of the models of leaf area estimation as a function of linear dimensions. For buckwheat, IPR91-Baili and IPR92-Altar cultivars, the quadratic model (Y = 0.5217 + 0.6581LW + 0.0004LW2, R2 = 0.9590), power model (Y = 0.6809LW1.0037, R2 = 0.9587), linear model (Y = 0.0653 + 0.6892LW, R2 = 0.9587) and linear model without intercept (Y = 0.6907LW, R2 = 0.9587) are indicated for the estimation of leaf area determined by digital photos (Y) based on the LW of the leaf blade (x), and, preferably, the linear model without intercept can be used, due to its greater simplicity. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-04-22 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Pesquisa Científica |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41574 10.5433/1679-0359.2021v42n3Supl1p1529 |
url |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41574 |
identifier_str_mv |
10.5433/1679-0359.2021v42n3Supl1p1529 |
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/41574/29439 |
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. 3Supl1 (2021); 1529-1548 Semina: Ciências Agrárias; v. 42 n. 3Supl1 (2021); 1529-1548 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_ |
1799306084662378496 |