Diagrammatic scales for the estimation of black node disease severity in common bean
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
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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Ciência rural (Online) |
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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 |
|
_version_ |
1749140555637456896 |