Development and validation of a standard area diagram set to assess powdery mildew severity on watermelon leaves

Detalhes bibliográficos
Autor(a) principal: Nascimento,Francinete Alves
Data de Publicação: 2020
Outros Autores: Duarte,Henrique da Silva Silveira, Souza,Flávio França, Ishikawa,Francine Hiromi, Capucho,Alexandre Sandri
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020001000153
Resumo: ABSTRACT: The development and validation of a standard area diagram set (SADs) was proposed in this study to assess the severity of powdery mildew (Podosphaera xanthii) in watermelon (Citrullus lanatus) leaves. The SADs proposed has twelve levels of severity, varying from 0.07 to 100%. The SADs were validated by 16 raters who had no previous experience in evaluating plant disease severity. Initially, the estimation of severity was performed without the use of the SADs in leaves with different levels of severity. In a second moment, the same raters estimated the disease severity using the SADs proposed. By Lin’s concordance correlation analysis, there was an improvement in precision (coefficient of correlation, r = 0.878 and r = 0.959, without and with SADs, respectively) and accuracy (bias correction factor, Cb = 0.830 and 0.982, without and with SADs, respectively) using SADs when compared to the non-use of SADs. The agreement (Lin’s concordance correlation coefficient, ρc = 0.734 and 0.952 without and with SADs, respectively) also improved using SADs. Severity estimates inter-rater were more reliable when using SADs (coefficient of determination, R2 = 0.681 without and R2 = 0.864 with SADs; Intra-class correlation coefficient, ρ = 0.759 and ρ = 0.928, without and with SADs, respectively). Therefore, SADs improved precision, accuracy and reliability of powdery mildew severity on watermelon leaves.
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spelling Development and validation of a standard area diagram set to assess powdery mildew severity on watermelon leavesdisease assessmentseverityPodosphaera xanthiiCitrullus lanatusABSTRACT: The development and validation of a standard area diagram set (SADs) was proposed in this study to assess the severity of powdery mildew (Podosphaera xanthii) in watermelon (Citrullus lanatus) leaves. The SADs proposed has twelve levels of severity, varying from 0.07 to 100%. The SADs were validated by 16 raters who had no previous experience in evaluating plant disease severity. Initially, the estimation of severity was performed without the use of the SADs in leaves with different levels of severity. In a second moment, the same raters estimated the disease severity using the SADs proposed. By Lin’s concordance correlation analysis, there was an improvement in precision (coefficient of correlation, r = 0.878 and r = 0.959, without and with SADs, respectively) and accuracy (bias correction factor, Cb = 0.830 and 0.982, without and with SADs, respectively) using SADs when compared to the non-use of SADs. The agreement (Lin’s concordance correlation coefficient, ρc = 0.734 and 0.952 without and with SADs, respectively) also improved using SADs. Severity estimates inter-rater were more reliable when using SADs (coefficient of determination, R2 = 0.681 without and R2 = 0.864 with SADs; Intra-class correlation coefficient, ρ = 0.759 and ρ = 0.928, without and with SADs, respectively). Therefore, SADs improved precision, accuracy and reliability of powdery mildew severity on watermelon leaves.Universidade Federal de Santa Maria2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020001000153Ciência Rural v.50 n.10 2020reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20200281info:eu-repo/semantics/openAccessNascimento,Francinete AlvesDuarte,Henrique da Silva SilveiraSouza,Flávio FrançaIshikawa,Francine HiromiCapucho,Alexandre Sandrieng2020-09-09T00:00:00ZRevista
dc.title.none.fl_str_mv Development and validation of a standard area diagram set to assess powdery mildew severity on watermelon leaves
title Development and validation of a standard area diagram set to assess powdery mildew severity on watermelon leaves
spellingShingle Development and validation of a standard area diagram set to assess powdery mildew severity on watermelon leaves
Nascimento,Francinete Alves
disease assessment
severity
Podosphaera xanthii
Citrullus lanatus
title_short Development and validation of a standard area diagram set to assess powdery mildew severity on watermelon leaves
title_full Development and validation of a standard area diagram set to assess powdery mildew severity on watermelon leaves
title_fullStr Development and validation of a standard area diagram set to assess powdery mildew severity on watermelon leaves
title_full_unstemmed Development and validation of a standard area diagram set to assess powdery mildew severity on watermelon leaves
title_sort Development and validation of a standard area diagram set to assess powdery mildew severity on watermelon leaves
author Nascimento,Francinete Alves
author_facet Nascimento,Francinete Alves
Duarte,Henrique da Silva Silveira
Souza,Flávio França
Ishikawa,Francine Hiromi
Capucho,Alexandre Sandri
author_role author
author2 Duarte,Henrique da Silva Silveira
Souza,Flávio França
Ishikawa,Francine Hiromi
Capucho,Alexandre Sandri
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Nascimento,Francinete Alves
Duarte,Henrique da Silva Silveira
Souza,Flávio França
Ishikawa,Francine Hiromi
Capucho,Alexandre Sandri
dc.subject.por.fl_str_mv disease assessment
severity
Podosphaera xanthii
Citrullus lanatus
topic disease assessment
severity
Podosphaera xanthii
Citrullus lanatus
description ABSTRACT: The development and validation of a standard area diagram set (SADs) was proposed in this study to assess the severity of powdery mildew (Podosphaera xanthii) in watermelon (Citrullus lanatus) leaves. The SADs proposed has twelve levels of severity, varying from 0.07 to 100%. The SADs were validated by 16 raters who had no previous experience in evaluating plant disease severity. Initially, the estimation of severity was performed without the use of the SADs in leaves with different levels of severity. In a second moment, the same raters estimated the disease severity using the SADs proposed. By Lin’s concordance correlation analysis, there was an improvement in precision (coefficient of correlation, r = 0.878 and r = 0.959, without and with SADs, respectively) and accuracy (bias correction factor, Cb = 0.830 and 0.982, without and with SADs, respectively) using SADs when compared to the non-use of SADs. The agreement (Lin’s concordance correlation coefficient, ρc = 0.734 and 0.952 without and with SADs, respectively) also improved using SADs. Severity estimates inter-rater were more reliable when using SADs (coefficient of determination, R2 = 0.681 without and R2 = 0.864 with SADs; Intra-class correlation coefficient, ρ = 0.759 and ρ = 0.928, without and with SADs, respectively). Therefore, SADs improved precision, accuracy and reliability of powdery mildew severity on watermelon leaves.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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=S0103-84782020001000153
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020001000153
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20200281
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 Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.50 n.10 2020
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
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repository.mail.fl_str_mv
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