Diagrammatic scale for measuring severity of gray mould in thornless Castilla blackberry (Rubus glaucus Benth)
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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=S0103-84782020001100151 |
Resumo: | ABSTRACT: Gray mould, caused by the fungus Botrytis cinerea Pers., is a disease that largely affects the crops of Rubus glaucus Benth. (Castilla blackberry) in Colombia. In spite of the economic losses that it causes in the production of Castilla blackberry at national level, a standardized method to quantify the disease severity caused by this fungus in the fruits has not yet been reported. In the present work, a diagrammatic scale was prepared to assess gray mould severity in thornless fruits of R. glaucus. The proposed scale showed the levels of 5, 10, 20, 40, 60, 80, and 100%. Photographic images were obtained for each of these levels, which were processed using the ImageJ software. The scale was validated by 13 evaluators who assessed affected fruits with and without the scale. The precision and accuracy of each evaluator was determined by simple linear regression between actual and estimated severity. The evaluators showed better precision, accuracy, and reproducibility in the assessments performed with the scale. The proposed scale is appropriate to estimate the severity of gray mould in R. glaucus fruits. |
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Diagrammatic scale for measuring severity of gray mould in thornless Castilla blackberry (Rubus glaucus Benth)Botrytis cinerea Pers.measuring diseasepathometryRubus glaucus Benth.ABSTRACT: Gray mould, caused by the fungus Botrytis cinerea Pers., is a disease that largely affects the crops of Rubus glaucus Benth. (Castilla blackberry) in Colombia. In spite of the economic losses that it causes in the production of Castilla blackberry at national level, a standardized method to quantify the disease severity caused by this fungus in the fruits has not yet been reported. In the present work, a diagrammatic scale was prepared to assess gray mould severity in thornless fruits of R. glaucus. The proposed scale showed the levels of 5, 10, 20, 40, 60, 80, and 100%. Photographic images were obtained for each of these levels, which were processed using the ImageJ software. The scale was validated by 13 evaluators who assessed affected fruits with and without the scale. The precision and accuracy of each evaluator was determined by simple linear regression between actual and estimated severity. The evaluators showed better precision, accuracy, and reproducibility in the assessments performed with the scale. The proposed scale is appropriate to estimate the severity of gray mould in R. glaucus fruits.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=S0103-84782020001100151Ciência Rural v.50 n.11 2020reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20190859info:eu-repo/semantics/openAccessArias,Sarah MuñozÁlvarez,Gloria Edith GuerreroPatiño,Paula Andrea Gonzálezeng2020-10-05T00:00:00ZRevista |
dc.title.none.fl_str_mv |
Diagrammatic scale for measuring severity of gray mould in thornless Castilla blackberry (Rubus glaucus Benth) |
title |
Diagrammatic scale for measuring severity of gray mould in thornless Castilla blackberry (Rubus glaucus Benth) |
spellingShingle |
Diagrammatic scale for measuring severity of gray mould in thornless Castilla blackberry (Rubus glaucus Benth) Arias,Sarah Muñoz Botrytis cinerea Pers. measuring disease pathometry Rubus glaucus Benth. |
title_short |
Diagrammatic scale for measuring severity of gray mould in thornless Castilla blackberry (Rubus glaucus Benth) |
title_full |
Diagrammatic scale for measuring severity of gray mould in thornless Castilla blackberry (Rubus glaucus Benth) |
title_fullStr |
Diagrammatic scale for measuring severity of gray mould in thornless Castilla blackberry (Rubus glaucus Benth) |
title_full_unstemmed |
Diagrammatic scale for measuring severity of gray mould in thornless Castilla blackberry (Rubus glaucus Benth) |
title_sort |
Diagrammatic scale for measuring severity of gray mould in thornless Castilla blackberry (Rubus glaucus Benth) |
author |
Arias,Sarah Muñoz |
author_facet |
Arias,Sarah Muñoz Álvarez,Gloria Edith Guerrero Patiño,Paula Andrea González |
author_role |
author |
author2 |
Álvarez,Gloria Edith Guerrero Patiño,Paula Andrea González |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Arias,Sarah Muñoz Álvarez,Gloria Edith Guerrero Patiño,Paula Andrea González |
dc.subject.por.fl_str_mv |
Botrytis cinerea Pers. measuring disease pathometry Rubus glaucus Benth. |
topic |
Botrytis cinerea Pers. measuring disease pathometry Rubus glaucus Benth. |
description |
ABSTRACT: Gray mould, caused by the fungus Botrytis cinerea Pers., is a disease that largely affects the crops of Rubus glaucus Benth. (Castilla blackberry) in Colombia. In spite of the economic losses that it causes in the production of Castilla blackberry at national level, a standardized method to quantify the disease severity caused by this fungus in the fruits has not yet been reported. In the present work, a diagrammatic scale was prepared to assess gray mould severity in thornless fruits of R. glaucus. The proposed scale showed the levels of 5, 10, 20, 40, 60, 80, and 100%. Photographic images were obtained for each of these levels, which were processed using the ImageJ software. The scale was validated by 13 evaluators who assessed affected fruits with and without the scale. The precision and accuracy of each evaluator was determined by simple linear regression between actual and estimated severity. The evaluators showed better precision, accuracy, and reproducibility in the assessments performed with the scale. The proposed scale is appropriate to estimate the severity of gray mould in R. glaucus fruits. |
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=S0103-84782020001100151 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020001100151 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-8478cr20190859 |
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.11 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 |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1749140555191812096 |