Effect of the interaction between fungicide application time and rainfall simulation interval on Asian Soybean Rust control effectiveness

Detalhes bibliográficos
Autor(a) principal: Stefanello, Marlon Tagliapietra
Data de Publicação: 2016
Outros Autores: Balardin, Ricardo Silveiro, Minuzzi, Simone Gripa, Favera, Diego Dalla, Marques, Leandro Nascimento, Pezzini, Daniela Tamara, Ebone, André
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23315
Resumo: Environmental factors affect the performance of fungicides in soybean (Glycine max (L.) Merr.). They also influence the residual activity of the products applied to the leaves. The objective of this study was to assess the control effectiveness of the interaction between fungicide application and rainfall simulation on Asian Soybean Rust (ASR). Two experiments were conducted, one in the greenhouse, in a completely randomized design, and the other in the field, in a randomized block design. Both the experiments had the same factorial arrangement of 6x5, with four replications. Factor A: Five fungicide applications time at 0400 h, 0900 h, 1400 h, 1800 h, 2300 h and, a control with no application; Factor B: four intervals of time between the application of fungicide and rainfall simulation at 0, 30, 60 and 120 min for the experiment in the greenhouse and at 2, 30, 60, 120 min for the experiment in the field. A control was included for both the experiments with no rainfall. The number of days to the appearance of the first pustules was determined, along with severity of ASR, relative chlorophyll index and productivity. It was found that the ASR control effectiveness of fungicide applications in soybean plants in sunlight was less efficient with rainfall simulation. The rainfall simulation had greater negative effect on disease control effectiveness in applications conducted at night under dew conditions. The application conducted at 0900 h showed the greatest disease control effectiveness in both greenhouse and in the field conditions. The 1400 h application showed decreased fungicide control residual and ASR control effectiveness, possibly due to a combination of the low relative humidity and high temperature. Rainfall simulation carried out at 120 min after application still had the ability to affect the ASR control effectiveness.
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spelling Effect of the interaction between fungicide application time and rainfall simulation interval on Asian Soybean Rust control effectivenessEfeito da interação entre horários de aplicação do fungicida e intervalos de simulação de chuva na eficácia de controle da Ferrugem Asiática da SojaChemical controlDew. Glycine max L.Night applicationPhakopsora pachyrhizi.Aplicação noturnaControle químicoGlycine max LOrvalhoPhakopsora pachyrhizi.Environmental factors affect the performance of fungicides in soybean (Glycine max (L.) Merr.). They also influence the residual activity of the products applied to the leaves. The objective of this study was to assess the control effectiveness of the interaction between fungicide application and rainfall simulation on Asian Soybean Rust (ASR). Two experiments were conducted, one in the greenhouse, in a completely randomized design, and the other in the field, in a randomized block design. Both the experiments had the same factorial arrangement of 6x5, with four replications. Factor A: Five fungicide applications time at 0400 h, 0900 h, 1400 h, 1800 h, 2300 h and, a control with no application; Factor B: four intervals of time between the application of fungicide and rainfall simulation at 0, 30, 60 and 120 min for the experiment in the greenhouse and at 2, 30, 60, 120 min for the experiment in the field. A control was included for both the experiments with no rainfall. The number of days to the appearance of the first pustules was determined, along with severity of ASR, relative chlorophyll index and productivity. It was found that the ASR control effectiveness of fungicide applications in soybean plants in sunlight was less efficient with rainfall simulation. The rainfall simulation had greater negative effect on disease control effectiveness in applications conducted at night under dew conditions. The application conducted at 0900 h showed the greatest disease control effectiveness in both greenhouse and in the field conditions. The 1400 h application showed decreased fungicide control residual and ASR control effectiveness, possibly due to a combination of the low relative humidity and high temperature. Rainfall simulation carried out at 120 min after application still had the ability to affect the ASR control effectiveness.Os fatores ambientais afetam o comportamento dos fungicidas em soja (Glycine max (L.) Merr.). Eles também influenciam a atividade residual de produtos aplicados na folha. O objetivo do estudo foi avaliar a eficácia de controle da interação entre a aplicação do fungicida e simulação de chuva na Ferrugem Asiática da Soja (FAS). Foram conduzidos dois experimentos, um em casa de vegetação em delineamento inteiramente casualizado e outro a campo em delineamento de blocos ao acaso. Ambos os experimentos tiveram o mesmo arranjo fatorial 6x5, com quatro repetições. O fator A: cinco aplicações de fungicida às 04h00, 09h00, 14h00, 18h00, 23h00 e uma testemunha sem aplicação; Fator B: quatro intervalos de tempo entre a aplicação do fungicida e a simulação de chuva ao 0, 30, 60 e 120 min para o experimento em casa de vegetação e aos 2, 30, 60, 120 min para o experimento à campo. Um controle sem chuva foi incluído para ambos os experimentos. Os parâmetros avaliados foram o número de dias para o aparecimento das primeiras pústulas, severidade de FAS, índice relativo de clorofila e produtividade. Verifica-se que a eficácia de controle de FAS de aplicações de fungicidas em plantas de soja sob a luz solar foi menos afetada pela simulação de chuva. A simulação de chuva tem maior efeito negativo na eficácia de controle da doença em aplicações realizadas durante a noite sob condições de orvalho. A aplicação realizada às 09h00 apresentou a maior eficácia de controle da doença em ambas às condições de casa de vegetação e a campo. O horário de aplicação das 14h00 reduziu o residual de controle do fungicida e a eficácia de controle de FAS, possivelmente devido à combinação da baixa umidade relativa do ar e alta temperatura. Contudo, a simulação de chuva realizada aos 120 min após a aplicação ainda afetou a eficácia do controle FAS.UEL2016-12-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa de casa vegetação; Pesquisa de campoapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/2331510.5433/1679-0359.2016v37n6p3881Semina: Ciências Agrárias; Vol. 37 No. 6 (2016); 3881-3892Semina: Ciências Agrárias; v. 37 n. 6 (2016); 3881-38921679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23315/20042http://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessStefanello, Marlon TagliapietraBalardin, Ricardo SilveiroMinuzzi, Simone GripaFavera, Diego DallaMarques, Leandro NascimentoPezzini, Daniela TamaraEbone, André2022-11-29T15:25:42Zoai:ojs.pkp.sfu.ca:article/23315Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-11-29T15:25:42Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Effect of the interaction between fungicide application time and rainfall simulation interval on Asian Soybean Rust control effectiveness
Efeito da interação entre horários de aplicação do fungicida e intervalos de simulação de chuva na eficácia de controle da Ferrugem Asiática da Soja
title Effect of the interaction between fungicide application time and rainfall simulation interval on Asian Soybean Rust control effectiveness
spellingShingle Effect of the interaction between fungicide application time and rainfall simulation interval on Asian Soybean Rust control effectiveness
Stefanello, Marlon Tagliapietra
Chemical control
Dew. Glycine max L.
Night application
Phakopsora pachyrhizi.
Aplicação noturna
Controle químico
Glycine max L
Orvalho
Phakopsora pachyrhizi.
title_short Effect of the interaction between fungicide application time and rainfall simulation interval on Asian Soybean Rust control effectiveness
title_full Effect of the interaction between fungicide application time and rainfall simulation interval on Asian Soybean Rust control effectiveness
title_fullStr Effect of the interaction between fungicide application time and rainfall simulation interval on Asian Soybean Rust control effectiveness
title_full_unstemmed Effect of the interaction between fungicide application time and rainfall simulation interval on Asian Soybean Rust control effectiveness
title_sort Effect of the interaction between fungicide application time and rainfall simulation interval on Asian Soybean Rust control effectiveness
author Stefanello, Marlon Tagliapietra
author_facet Stefanello, Marlon Tagliapietra
Balardin, Ricardo Silveiro
Minuzzi, Simone Gripa
Favera, Diego Dalla
Marques, Leandro Nascimento
Pezzini, Daniela Tamara
Ebone, André
author_role author
author2 Balardin, Ricardo Silveiro
Minuzzi, Simone Gripa
Favera, Diego Dalla
Marques, Leandro Nascimento
Pezzini, Daniela Tamara
Ebone, André
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Stefanello, Marlon Tagliapietra
Balardin, Ricardo Silveiro
Minuzzi, Simone Gripa
Favera, Diego Dalla
Marques, Leandro Nascimento
Pezzini, Daniela Tamara
Ebone, André
dc.subject.por.fl_str_mv Chemical control
Dew. Glycine max L.
Night application
Phakopsora pachyrhizi.
Aplicação noturna
Controle químico
Glycine max L
Orvalho
Phakopsora pachyrhizi.
topic Chemical control
Dew. Glycine max L.
Night application
Phakopsora pachyrhizi.
Aplicação noturna
Controle químico
Glycine max L
Orvalho
Phakopsora pachyrhizi.
description Environmental factors affect the performance of fungicides in soybean (Glycine max (L.) Merr.). They also influence the residual activity of the products applied to the leaves. The objective of this study was to assess the control effectiveness of the interaction between fungicide application and rainfall simulation on Asian Soybean Rust (ASR). Two experiments were conducted, one in the greenhouse, in a completely randomized design, and the other in the field, in a randomized block design. Both the experiments had the same factorial arrangement of 6x5, with four replications. Factor A: Five fungicide applications time at 0400 h, 0900 h, 1400 h, 1800 h, 2300 h and, a control with no application; Factor B: four intervals of time between the application of fungicide and rainfall simulation at 0, 30, 60 and 120 min for the experiment in the greenhouse and at 2, 30, 60, 120 min for the experiment in the field. A control was included for both the experiments with no rainfall. The number of days to the appearance of the first pustules was determined, along with severity of ASR, relative chlorophyll index and productivity. It was found that the ASR control effectiveness of fungicide applications in soybean plants in sunlight was less efficient with rainfall simulation. The rainfall simulation had greater negative effect on disease control effectiveness in applications conducted at night under dew conditions. The application conducted at 0900 h showed the greatest disease control effectiveness in both greenhouse and in the field conditions. The 1400 h application showed decreased fungicide control residual and ASR control effectiveness, possibly due to a combination of the low relative humidity and high temperature. Rainfall simulation carried out at 120 min after application still had the ability to affect the ASR control effectiveness.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-14
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa de casa vegetação; Pesquisa de campo
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23315
10.5433/1679-0359.2016v37n6p3881
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23315
identifier_str_mv 10.5433/1679-0359.2016v37n6p3881
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/23315/20042
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 37 No. 6 (2016); 3881-3892
Semina: Ciências Agrárias; v. 37 n. 6 (2016); 3881-3892
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
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