Allometric models to estimate peanuts leaflets area by non-destructive method

Detalhes bibliográficos
Autor(a) principal: Ribeiro,João Everthon da Silva
Data de Publicação: 2022
Outros Autores: Coêlho,Ester dos Santos, Oliveira,Pablo Henrique de Almeida, Lopes,Welder de Araújo Rangel, Silva,Elania Freire da, Oliveira,Anna Kézia Soares de, Silveira,Lindomar Maria da, Silva,Daniel Valadão, Barros Júnior,Aurélio Paes, Dias,Thiago Jardelino
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052022000100243
Resumo: ABSTRACT The determination of leaf area is fundamental for studies related to plant growth and physiology. Thus, non-destructive methods allow an accurate estimate of the leaf area through linear dimensions of the leaves. The research objective was to construct allometric equations to estimate the leaflet area of peanut cultivars. Then, 2,605 leaflets were collected from six peanut cultivars (IAC Caiapó, IAC 8112, Runner IAC 886, BRS Havana, BRS 151 L7, and IAC Tatuí), with more than 400 leaflets sampled for each cultivar. We measured the length, width, product between length and width, and leaflet area. Linear and non-linear models (linear, linear without intercept, power, and exponential) were built, and the best equation was chosen using the statistical criteria: highest coefficient of determination (R2), Pearson’s linear correlation coefficient (r), Willmott’s agreement index (d), lowest Akaike information criterion (AIC), and root mean square of the error (RMSE). It was found that the models that used the product between length and width were the most suitable for estimating the leaflet area of peanut cultivars. Given the little intraspecific morphological variability, it was possible to group the cultivars, and model y ^ = 0.875 * LW0.929 was indicated to estimate the peanut leaflet area accurately, regardless of the cultivar.
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spelling Allometric models to estimate peanuts leaflets area by non-destructive methodArachis hypogaea L.biometryleaf morphotypesnonlinear modelsABSTRACT The determination of leaf area is fundamental for studies related to plant growth and physiology. Thus, non-destructive methods allow an accurate estimate of the leaf area through linear dimensions of the leaves. The research objective was to construct allometric equations to estimate the leaflet area of peanut cultivars. Then, 2,605 leaflets were collected from six peanut cultivars (IAC Caiapó, IAC 8112, Runner IAC 886, BRS Havana, BRS 151 L7, and IAC Tatuí), with more than 400 leaflets sampled for each cultivar. We measured the length, width, product between length and width, and leaflet area. Linear and non-linear models (linear, linear without intercept, power, and exponential) were built, and the best equation was chosen using the statistical criteria: highest coefficient of determination (R2), Pearson’s linear correlation coefficient (r), Willmott’s agreement index (d), lowest Akaike information criterion (AIC), and root mean square of the error (RMSE). It was found that the models that used the product between length and width were the most suitable for estimating the leaflet area of peanut cultivars. Given the little intraspecific morphological variability, it was possible to group the cultivars, and model y ^ = 0.875 * LW0.929 was indicated to estimate the peanut leaflet area accurately, regardless of the cultivar.Instituto Agronômico de Campinas2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052022000100243Bragantia v.81 2022reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.20220121info:eu-repo/semantics/openAccessRibeiro,João Everthon da SilvaCoêlho,Ester dos SantosOliveira,Pablo Henrique de AlmeidaLopes,Welder de Araújo RangelSilva,Elania Freire daOliveira,Anna Kézia Soares deSilveira,Lindomar Maria daSilva,Daniel ValadãoBarros Júnior,Aurélio PaesDias,Thiago Jardelinoeng2022-12-05T00:00:00Zoai:scielo:S0006-87052022000100243Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2022-12-05T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Allometric models to estimate peanuts leaflets area by non-destructive method
title Allometric models to estimate peanuts leaflets area by non-destructive method
spellingShingle Allometric models to estimate peanuts leaflets area by non-destructive method
Ribeiro,João Everthon da Silva
Arachis hypogaea L.
biometry
leaf morphotypes
nonlinear models
title_short Allometric models to estimate peanuts leaflets area by non-destructive method
title_full Allometric models to estimate peanuts leaflets area by non-destructive method
title_fullStr Allometric models to estimate peanuts leaflets area by non-destructive method
title_full_unstemmed Allometric models to estimate peanuts leaflets area by non-destructive method
title_sort Allometric models to estimate peanuts leaflets area by non-destructive method
author Ribeiro,João Everthon da Silva
author_facet Ribeiro,João Everthon da Silva
Coêlho,Ester dos Santos
Oliveira,Pablo Henrique de Almeida
Lopes,Welder de Araújo Rangel
Silva,Elania Freire da
Oliveira,Anna Kézia Soares de
Silveira,Lindomar Maria da
Silva,Daniel Valadão
Barros Júnior,Aurélio Paes
Dias,Thiago Jardelino
author_role author
author2 Coêlho,Ester dos Santos
Oliveira,Pablo Henrique de Almeida
Lopes,Welder de Araújo Rangel
Silva,Elania Freire da
Oliveira,Anna Kézia Soares de
Silveira,Lindomar Maria da
Silva,Daniel Valadão
Barros Júnior,Aurélio Paes
Dias,Thiago Jardelino
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ribeiro,João Everthon da Silva
Coêlho,Ester dos Santos
Oliveira,Pablo Henrique de Almeida
Lopes,Welder de Araújo Rangel
Silva,Elania Freire da
Oliveira,Anna Kézia Soares de
Silveira,Lindomar Maria da
Silva,Daniel Valadão
Barros Júnior,Aurélio Paes
Dias,Thiago Jardelino
dc.subject.por.fl_str_mv Arachis hypogaea L.
biometry
leaf morphotypes
nonlinear models
topic Arachis hypogaea L.
biometry
leaf morphotypes
nonlinear models
description ABSTRACT The determination of leaf area is fundamental for studies related to plant growth and physiology. Thus, non-destructive methods allow an accurate estimate of the leaf area through linear dimensions of the leaves. The research objective was to construct allometric equations to estimate the leaflet area of peanut cultivars. Then, 2,605 leaflets were collected from six peanut cultivars (IAC Caiapó, IAC 8112, Runner IAC 886, BRS Havana, BRS 151 L7, and IAC Tatuí), with more than 400 leaflets sampled for each cultivar. We measured the length, width, product between length and width, and leaflet area. Linear and non-linear models (linear, linear without intercept, power, and exponential) were built, and the best equation was chosen using the statistical criteria: highest coefficient of determination (R2), Pearson’s linear correlation coefficient (r), Willmott’s agreement index (d), lowest Akaike information criterion (AIC), and root mean square of the error (RMSE). It was found that the models that used the product between length and width were the most suitable for estimating the leaflet area of peanut cultivars. Given the little intraspecific morphological variability, it was possible to group the cultivars, and model y ^ = 0.875 * LW0.929 was indicated to estimate the peanut leaflet area accurately, regardless of the cultivar.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052022000100243
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052022000100243
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4499.20220121
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto Agronômico de Campinas
publisher.none.fl_str_mv Instituto Agronômico de Campinas
dc.source.none.fl_str_mv Bragantia v.81 2022
reponame:Bragantia
instname:Instituto Agronômico de Campinas (IAC)
instacron:IAC
instname_str Instituto Agronômico de Campinas (IAC)
instacron_str IAC
institution IAC
reponame_str Bragantia
collection Bragantia
repository.name.fl_str_mv Bragantia - Instituto Agronômico de Campinas (IAC)
repository.mail.fl_str_mv bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br
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