Diagrammatic scales for the estimation of black node disease severity in common bean

Detalhes bibliográficos
Autor(a) principal: Montero,Yuranis Miranda
Data de Publicação: 2021
Outros Autores: Rivera,Linda Rincón, Gutiérrez,Luz Nayibe Garzón
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021000300152
Resumo: ABSTRACT: The objective of this study was to design two diagrammatic scales for the evaluation of black node disease (Stagonosporopsis hortensis and Boeremia spp.) in common bean (Phaseolus vulgaris L.). The developed scales corresponded to logarithmic intervals (SADL) of seven levels and equal intervals (SADE) of nine levels. These scales were compared to the scale developed by the International Center for Tropical Agriculture (CIAT), which corresponds to a descriptive scale (NoSAD). In the scale validation the accuracy, precision, and concordance of repeatability were determined using Lin’s concordance correlation coefficient, whereas inter-rater reproducibility was determined by the overall concordance correlation coefficient (OCCC). It was observed that with the use of the proposed scales, reproducibility and repeatability were significantly improved for inexperienced raters, and reproducibility was improved in the case of experienced raters. Thus, the designed standard area diagrams with equal and logarithmic intervals are a useful tool for estimating severity under field and experimental conditions as part of the study of this patho-system.
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spelling Diagrammatic scales for the estimation of black node disease severity in common beanBoeremiastandard area diagramsPhaseolus vulgarisphytopathometryABSTRACT: The objective of this study was to design two diagrammatic scales for the evaluation of black node disease (Stagonosporopsis hortensis and Boeremia spp.) in common bean (Phaseolus vulgaris L.). The developed scales corresponded to logarithmic intervals (SADL) of seven levels and equal intervals (SADE) of nine levels. These scales were compared to the scale developed by the International Center for Tropical Agriculture (CIAT), which corresponds to a descriptive scale (NoSAD). In the scale validation the accuracy, precision, and concordance of repeatability were determined using Lin’s concordance correlation coefficient, whereas inter-rater reproducibility was determined by the overall concordance correlation coefficient (OCCC). It was observed that with the use of the proposed scales, reproducibility and repeatability were significantly improved for inexperienced raters, and reproducibility was improved in the case of experienced raters. Thus, the designed standard area diagrams with equal and logarithmic intervals are a useful tool for estimating severity under field and experimental conditions as part of the study of this patho-system.Universidade Federal de Santa Maria2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021000300152Ciência Rural v.51 n.3 2021reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20200347info:eu-repo/semantics/openAccessMontero,Yuranis MirandaRivera,Linda RincónGutiérrez,Luz Nayibe Garzóneng2021-01-27T00:00:00ZRevista
dc.title.none.fl_str_mv Diagrammatic scales for the estimation of black node disease severity in common bean
title Diagrammatic scales for the estimation of black node disease severity in common bean
spellingShingle Diagrammatic scales for the estimation of black node disease severity in common bean
Montero,Yuranis Miranda
Boeremia
standard area diagrams
Phaseolus vulgaris
phytopathometry
title_short Diagrammatic scales for the estimation of black node disease severity in common bean
title_full Diagrammatic scales for the estimation of black node disease severity in common bean
title_fullStr Diagrammatic scales for the estimation of black node disease severity in common bean
title_full_unstemmed Diagrammatic scales for the estimation of black node disease severity in common bean
title_sort Diagrammatic scales for the estimation of black node disease severity in common bean
author Montero,Yuranis Miranda
author_facet Montero,Yuranis Miranda
Rivera,Linda Rincón
Gutiérrez,Luz Nayibe Garzón
author_role author
author2 Rivera,Linda Rincón
Gutiérrez,Luz Nayibe Garzón
author2_role author
author
dc.contributor.author.fl_str_mv Montero,Yuranis Miranda
Rivera,Linda Rincón
Gutiérrez,Luz Nayibe Garzón
dc.subject.por.fl_str_mv Boeremia
standard area diagrams
Phaseolus vulgaris
phytopathometry
topic Boeremia
standard area diagrams
Phaseolus vulgaris
phytopathometry
description ABSTRACT: The objective of this study was to design two diagrammatic scales for the evaluation of black node disease (Stagonosporopsis hortensis and Boeremia spp.) in common bean (Phaseolus vulgaris L.). The developed scales corresponded to logarithmic intervals (SADL) of seven levels and equal intervals (SADE) of nine levels. These scales were compared to the scale developed by the International Center for Tropical Agriculture (CIAT), which corresponds to a descriptive scale (NoSAD). In the scale validation the accuracy, precision, and concordance of repeatability were determined using Lin’s concordance correlation coefficient, whereas inter-rater reproducibility was determined by the overall concordance correlation coefficient (OCCC). It was observed that with the use of the proposed scales, reproducibility and repeatability were significantly improved for inexperienced raters, and reproducibility was improved in the case of experienced raters. Thus, the designed standard area diagrams with equal and logarithmic intervals are a useful tool for estimating severity under field and experimental conditions as part of the study of this patho-system.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
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=S0103-84782021000300152
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021000300152
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20200347
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.51 n.3 2021
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
repository.name.fl_str_mv
repository.mail.fl_str_mv
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