Espectro de gotas gerado por diferentes adjuvantes e pontas de pulverização
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.17224/EnergAgric.2012v27n3p130-142 http://hdl.handle.net/11449/137396 |
Resumo: | The application technology shows many parameters related to the quality of the application, one is the droplet spectrum, which is influenced by the spray nozzles and the adjuvant used. Therefore, the objective of this work was estimate the behavior of the droplet spectrum generated with different nozzles and different adjuvants. The experiment was installed containing four solutions from different type adjuvant dilution, as vegetal oil, mineral oil, surfactant and drift reduction, which were applied with two nozzle, one pre-orifice flat fan (DG 8003 VS) and other of air induction flat fan (AI 8003 VS), totaling 8 treatments with 3 repetitions. The experiment was realized in ideal weather conditions for spraying. The treatments averages were compared using Confidence Interval at 95% probability and the correlations between variables were analyzed using Pearson at 5% of probability. The analysis of droplet spectrum showed different behavior for each adjuvant and nozzle. The surfactant treatment showed VMD superior for all treatments when sprayed with AI nozzles. For the %vol.<100 µm the lowest value found was for the AI nozzle in combination with the surfactant. The significant correlations found for the nozzles AI and DG were negative between VMD and %vol.<100 µm. It can be concluded that the values of DMV and %vol.<100 µm showed that the nozzle with pre-orifice have droplet spectrum more prone to drift. The surfactant showed to be the best drift reduction technique when combined with the AI nozzle. |
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Espectro de gotas gerado por diferentes adjuvantes e pontas de pulverizaçãoDroplet spectrum generated by different adjuvants and spray nozzlesApplication technologyDriftSurfactantTecnologia de aplicaçãoDerivaSurfatanteThe application technology shows many parameters related to the quality of the application, one is the droplet spectrum, which is influenced by the spray nozzles and the adjuvant used. Therefore, the objective of this work was estimate the behavior of the droplet spectrum generated with different nozzles and different adjuvants. The experiment was installed containing four solutions from different type adjuvant dilution, as vegetal oil, mineral oil, surfactant and drift reduction, which were applied with two nozzle, one pre-orifice flat fan (DG 8003 VS) and other of air induction flat fan (AI 8003 VS), totaling 8 treatments with 3 repetitions. The experiment was realized in ideal weather conditions for spraying. The treatments averages were compared using Confidence Interval at 95% probability and the correlations between variables were analyzed using Pearson at 5% of probability. The analysis of droplet spectrum showed different behavior for each adjuvant and nozzle. The surfactant treatment showed VMD superior for all treatments when sprayed with AI nozzles. For the %vol.<100 µm the lowest value found was for the AI nozzle in combination with the surfactant. The significant correlations found for the nozzles AI and DG were negative between VMD and %vol.<100 µm. It can be concluded that the values of DMV and %vol.<100 µm showed that the nozzle with pre-orifice have droplet spectrum more prone to drift. The surfactant showed to be the best drift reduction technique when combined with the AI nozzle.A tecnologia de aplicação apresenta muitos parâmetros relacionados à qualidade da aplicação, um deles é o espectro de gotas, o qual é influenciado pelas pontas de pulverização e pelos adjuvantes utilizados. Portanto, o objetivo deste trabalho foi avaliar o comportamento do espectro de gotas gerado por diferentes pontas de pulverização e diferentes adjuvantes. O ensaio foi instalado com quatro caldas provenientes da diluição de diferentes tipos de adjuvantes a base de óleo vegetal, óleo mineral, surfatante e redutor de deriva, as quais foram aplicadas com duas pontas de pulverização, sendo uma de jato plano com pré-orifício (DG 8003 VS) e outra de jato plano com indução de ar (AI 8003 VS), totalizando 8 tratamentos com 3 repetições. O trabalho foi realizado em condições climáticas ideais para pulverização. As mé- dias dos tratamentos foram comparadas pelo Intervalo de Confiança, ao nível de 95% de probabilidade e as correlações entre as variáveis do espectro de gotas, através do coeficiente de Pearson a 5% de probabilidade. A análise do espectro de gotas demonstrou diferentes comportamentos para cada tipo de adjuvante e ponta de pulverização. O tratamento com surfatante apresentou DMV superior aos demais tratamentos quando pulverizado com pontas AI. Para a %vol.<100 µm, o menor valor encontrado foi para a ponta AI em combinação com o surfatante. As correlações significativas, encontradas para as pontas DG e AI, foram negativas entre as variáveis DMV e % vol.<100 µm. Pode-se concluir que os valores de DMV e %vol.<100 µm demonstram que a ponta DG tem o espectro de gotas mais sujeito a deriva. O surfatante representou a melhor tecnologia para redução de deriva quando combinado com a ponta AI.Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Departamento de Engenharia Rural, Faculdade de Ciências Agronômicas de Botucatu, Botucatu, Rua José Barbosa de Barros, 1780, Lageado, CEP 18610307, SP, BrasilUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Departamento de Engenharia Rural, Faculdade de Ciências Agronômicas de Botucatu, Botucatu, Rua José Barbosa de Barros, 1780, Lageado, CEP 18610307, SP, BrasilUniversidade Estadual Paulista (Unesp)Chechetto, Rodolfo Glauber [UNESP]Antuniassi, Ulisses Rocha [UNESP]2016-04-01T18:45:29Z2016-04-01T18:45:29Z2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article130-142application/pdfhttp://dx.doi.org/10.17224/EnergAgric.2012v27n3p130-142Energia na Agricultura, v. 27, n. 3, p. 130-142, 2012.1808-8759http://hdl.handle.net/11449/13739610.17224/EnergAgric.2012v27n3p130-142ISSN1808-8759-2012-27-03-130-142.pdf9,7548510295485E+015Currículo Lattesreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporEnergia na Agriculturainfo:eu-repo/semantics/openAccess2024-04-30T14:01:19Zoai:repositorio.unesp.br:11449/137396Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-30T14:01:19Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Espectro de gotas gerado por diferentes adjuvantes e pontas de pulverização Droplet spectrum generated by different adjuvants and spray nozzles |
title |
Espectro de gotas gerado por diferentes adjuvantes e pontas de pulverização |
spellingShingle |
Espectro de gotas gerado por diferentes adjuvantes e pontas de pulverização Chechetto, Rodolfo Glauber [UNESP] Application technology Drift Surfactant Tecnologia de aplicação Deriva Surfatante |
title_short |
Espectro de gotas gerado por diferentes adjuvantes e pontas de pulverização |
title_full |
Espectro de gotas gerado por diferentes adjuvantes e pontas de pulverização |
title_fullStr |
Espectro de gotas gerado por diferentes adjuvantes e pontas de pulverização |
title_full_unstemmed |
Espectro de gotas gerado por diferentes adjuvantes e pontas de pulverização |
title_sort |
Espectro de gotas gerado por diferentes adjuvantes e pontas de pulverização |
author |
Chechetto, Rodolfo Glauber [UNESP] |
author_facet |
Chechetto, Rodolfo Glauber [UNESP] Antuniassi, Ulisses Rocha [UNESP] |
author_role |
author |
author2 |
Antuniassi, Ulisses Rocha [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Chechetto, Rodolfo Glauber [UNESP] Antuniassi, Ulisses Rocha [UNESP] |
dc.subject.por.fl_str_mv |
Application technology Drift Surfactant Tecnologia de aplicação Deriva Surfatante |
topic |
Application technology Drift Surfactant Tecnologia de aplicação Deriva Surfatante |
description |
The application technology shows many parameters related to the quality of the application, one is the droplet spectrum, which is influenced by the spray nozzles and the adjuvant used. Therefore, the objective of this work was estimate the behavior of the droplet spectrum generated with different nozzles and different adjuvants. The experiment was installed containing four solutions from different type adjuvant dilution, as vegetal oil, mineral oil, surfactant and drift reduction, which were applied with two nozzle, one pre-orifice flat fan (DG 8003 VS) and other of air induction flat fan (AI 8003 VS), totaling 8 treatments with 3 repetitions. The experiment was realized in ideal weather conditions for spraying. The treatments averages were compared using Confidence Interval at 95% probability and the correlations between variables were analyzed using Pearson at 5% of probability. The analysis of droplet spectrum showed different behavior for each adjuvant and nozzle. The surfactant treatment showed VMD superior for all treatments when sprayed with AI nozzles. For the %vol.<100 µm the lowest value found was for the AI nozzle in combination with the surfactant. The significant correlations found for the nozzles AI and DG were negative between VMD and %vol.<100 µm. It can be concluded that the values of DMV and %vol.<100 µm showed that the nozzle with pre-orifice have droplet spectrum more prone to drift. The surfactant showed to be the best drift reduction technique when combined with the AI nozzle. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012 2016-04-01T18:45:29Z 2016-04-01T18:45:29Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.17224/EnergAgric.2012v27n3p130-142 Energia na Agricultura, v. 27, n. 3, p. 130-142, 2012. 1808-8759 http://hdl.handle.net/11449/137396 10.17224/EnergAgric.2012v27n3p130-142 ISSN1808-8759-2012-27-03-130-142.pdf 9,7548510295485E+015 |
url |
http://dx.doi.org/10.17224/EnergAgric.2012v27n3p130-142 http://hdl.handle.net/11449/137396 |
identifier_str_mv |
Energia na Agricultura, v. 27, n. 3, p. 130-142, 2012. 1808-8759 10.17224/EnergAgric.2012v27n3p130-142 ISSN1808-8759-2012-27-03-130-142.pdf 9,7548510295485E+015 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Energia na Agricultura |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
130-142 application/pdf |
dc.source.none.fl_str_mv |
Currículo Lattes reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965086388846593 |