Yellow Sigatoka monitoring methods in the subtropical climate of Southern Brazil

Detalhes bibliográficos
Autor(a) principal: Peruch, Luiz Augusto Martins
Data de Publicação: 2022
Outros Autores: Sonego, Márcio, Bonfim Junior, Mauro Ferreira, Sangaleti, Tarinks
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Agropecuária Catarinense (Online)
Texto Completo: https://publicacoes.epagri.sc.gov.br/rac/article/view/1520
Resumo:  The adoption of monitoring systems to control the Sigatoka disease complex represents one of the most significant advances in banana production worldwide. In this paper four methodologies for evaluating Yellow Sigatoka (Biological Pre Warning - BPW, Stage of Evolution - SE, Infection Index - II, and Youngest Leaf Spotted - YLS) were compared under experimental conditions, and two methods were selected for commercial orchards in subtropical conditions. These monitoring systems weresubmitted to correlation (P<0.05 error) and statistic descriptive analysis. The disease monitoring systems presented different values depending on the methodology in the experimental phase. The highest absolute values were verified in the BPW (8450points), followed by SE (3213 points), II (36.3%), and YLS (9.7). The YLS presented a strong negative correlation with BPW (-80.7%), while the BPW and SE had a weak correlation (37%). In the commercial orchads BPW and YLS were compared, but the low frequency of the variable YLS limited its application for Sigatoka evaluation. After comparing the two systems in commercial orchards, we found that BPW should continue being the standard disease monitoring method on the coast of the state of Santa Catarina.
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spelling Yellow Sigatoka monitoring methods in the subtropical climate of Southern Brazil Métodos de monitoramento da sigatoka amarela da bananeira nas condições de clima subtropical no Sul do BrasilMycosphaerellaBioclimatic pre warningYoungest leaf spottedSeverityMycosphaerellaPré-aviso bioclimáticoPrimeira Folha Manchadaseveridade The adoption of monitoring systems to control the Sigatoka disease complex represents one of the most significant advances in banana production worldwide. In this paper four methodologies for evaluating Yellow Sigatoka (Biological Pre Warning - BPW, Stage of Evolution - SE, Infection Index - II, and Youngest Leaf Spotted - YLS) were compared under experimental conditions, and two methods were selected for commercial orchards in subtropical conditions. These monitoring systems weresubmitted to correlation (P<0.05 error) and statistic descriptive analysis. The disease monitoring systems presented different values depending on the methodology in the experimental phase. The highest absolute values were verified in the BPW (8450points), followed by SE (3213 points), II (36.3%), and YLS (9.7). The YLS presented a strong negative correlation with BPW (-80.7%), while the BPW and SE had a weak correlation (37%). In the commercial orchads BPW and YLS were compared, but the low frequency of the variable YLS limited its application for Sigatoka evaluation. After comparing the two systems in commercial orchards, we found that BPW should continue being the standard disease monitoring method on the coast of the state of Santa Catarina. A adoção de sistemas de monitoramento para o controle do complexo de manchas de sigatoka representa um dos avanços mais significativos na produção de banana no mundo. Neste trabalho foram comparadas quatro metodologias deavaliação da sigatoka-amarela (Pré-aviso Biológico - PAB, Estágio de Evolução - EE, Índice de Infecção - II e Primeira folha Manchada - PFM), em regime experimental no período de 2012-2014 e duas metodologias foram selecionadas para ensaios comerciais no período de 2016-2018 em condições subtropicais. Esses sistemas de monitoramento foram submetidos à correlação (P<0,05) e análise estatística descritiva. Os sistemas de monitoramento de doenças na fase experimental apresentaram valores diferentes dependendo da metodologia. Os maiores valores foram observados no PAB (8450 pontos), seguido de EE (3213 pontos), II (36,3%) e PFM (9,7). O PFM apresentou forte correlação negativa com o PAB (-80,7%), enquanto o PAB e EE tiveram uma correlação fraca (37%). Nos ensaios comerciais, a baixa frequência da variável PFM detectada nas plantas limitou sua aplicação para avaliação da sigatoka. Ao comparar os dois sistemas em pomares comerciais, verificou-se que a PAB deve continuar sendo o método padrão de monitoramento do mal-de-sigatoka no litoral catarinense.Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri2022-12-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://publicacoes.epagri.sc.gov.br/rac/article/view/152010.52945/rac.v35i3.1520Agropecuária Catarinense Journal; Vol. 35 No. 3 (2022); 26-29Agropecuária Catarinense; v. 35 n. 3 (2022); 26-292525-60760103-0779reponame:Agropecuária Catarinense (Online)instname:Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)instacron:EPAGRIenghttps://publicacoes.epagri.sc.gov.br/rac/article/view/1520/1452Copyright (c) 2022 Luiz Augusto Martins Peruch, Tarinks Sangaleti, Márcio Sonego, Mauro Ferreira Bonfim Juniorhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPeruch, Luiz Augusto MartinsSonego, MárcioBonfim Junior, Mauro FerreiraSangaleti, Tarinks2022-12-26T14:31:16Zoai:ojs.publicacoes.epagri.sc.gov.br:article/1520Revistahttps://publicacoes.epagri.sc.gov.br/RAC/indexPUBhttps://publicacoes.epagri.sc.gov.br/index.php/RAC/oaieditoriarac@epagri.sc.gov.br || lamperuch@epagri.sc.gov.br2525-60760103-0779opendoar:2022-12-26T14:31:16Agropecuária Catarinense (Online) - Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)false
dc.title.none.fl_str_mv Yellow Sigatoka monitoring methods in the subtropical climate of Southern Brazil
Métodos de monitoramento da sigatoka amarela da bananeira nas condições de clima subtropical no Sul do Brasil
title Yellow Sigatoka monitoring methods in the subtropical climate of Southern Brazil
spellingShingle Yellow Sigatoka monitoring methods in the subtropical climate of Southern Brazil
Peruch, Luiz Augusto Martins
Mycosphaerella
Bioclimatic pre warning
Youngest leaf spotted
Severity
Mycosphaerella
Pré-aviso bioclimático
Primeira Folha Manchada
severidade
title_short Yellow Sigatoka monitoring methods in the subtropical climate of Southern Brazil
title_full Yellow Sigatoka monitoring methods in the subtropical climate of Southern Brazil
title_fullStr Yellow Sigatoka monitoring methods in the subtropical climate of Southern Brazil
title_full_unstemmed Yellow Sigatoka monitoring methods in the subtropical climate of Southern Brazil
title_sort Yellow Sigatoka monitoring methods in the subtropical climate of Southern Brazil
author Peruch, Luiz Augusto Martins
author_facet Peruch, Luiz Augusto Martins
Sonego, Márcio
Bonfim Junior, Mauro Ferreira
Sangaleti, Tarinks
author_role author
author2 Sonego, Márcio
Bonfim Junior, Mauro Ferreira
Sangaleti, Tarinks
author2_role author
author
author
dc.contributor.author.fl_str_mv Peruch, Luiz Augusto Martins
Sonego, Márcio
Bonfim Junior, Mauro Ferreira
Sangaleti, Tarinks
dc.subject.por.fl_str_mv Mycosphaerella
Bioclimatic pre warning
Youngest leaf spotted
Severity
Mycosphaerella
Pré-aviso bioclimático
Primeira Folha Manchada
severidade
topic Mycosphaerella
Bioclimatic pre warning
Youngest leaf spotted
Severity
Mycosphaerella
Pré-aviso bioclimático
Primeira Folha Manchada
severidade
description  The adoption of monitoring systems to control the Sigatoka disease complex represents one of the most significant advances in banana production worldwide. In this paper four methodologies for evaluating Yellow Sigatoka (Biological Pre Warning - BPW, Stage of Evolution - SE, Infection Index - II, and Youngest Leaf Spotted - YLS) were compared under experimental conditions, and two methods were selected for commercial orchards in subtropical conditions. These monitoring systems weresubmitted to correlation (P<0.05 error) and statistic descriptive analysis. The disease monitoring systems presented different values depending on the methodology in the experimental phase. The highest absolute values were verified in the BPW (8450points), followed by SE (3213 points), II (36.3%), and YLS (9.7). The YLS presented a strong negative correlation with BPW (-80.7%), while the BPW and SE had a weak correlation (37%). In the commercial orchads BPW and YLS were compared, but the low frequency of the variable YLS limited its application for Sigatoka evaluation. After comparing the two systems in commercial orchards, we found that BPW should continue being the standard disease monitoring method on the coast of the state of Santa Catarina.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-26
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://publicacoes.epagri.sc.gov.br/rac/article/view/1520
10.52945/rac.v35i3.1520
url https://publicacoes.epagri.sc.gov.br/rac/article/view/1520
identifier_str_mv 10.52945/rac.v35i3.1520
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://publicacoes.epagri.sc.gov.br/rac/article/view/1520/1452
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri
publisher.none.fl_str_mv Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri
dc.source.none.fl_str_mv Agropecuária Catarinense Journal; Vol. 35 No. 3 (2022); 26-29
Agropecuária Catarinense; v. 35 n. 3 (2022); 26-29
2525-6076
0103-0779
reponame:Agropecuária Catarinense (Online)
instname:Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)
instacron:EPAGRI
instname_str Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)
instacron_str EPAGRI
institution EPAGRI
reponame_str Agropecuária Catarinense (Online)
collection Agropecuária Catarinense (Online)
repository.name.fl_str_mv Agropecuária Catarinense (Online) - Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)
repository.mail.fl_str_mv editoriarac@epagri.sc.gov.br || lamperuch@epagri.sc.gov.br
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