Allometric models to estimate peanuts leaflets area by non-destructive method
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
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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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 |
_version_ |
1754193308465233920 |