Drift curves from spray applications on commom bean crop

Detalhes bibliográficos
Autor(a) principal: Bueno,Mariana Rodrigues
Data de Publicação: 2016
Outros Autores: Cunha,João Paulo Arantes Rodrigues da, Santana,Denise Garcia de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência e Agrotecnologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542016000600621
Resumo: ABSTRACT In order to avoid the occurrence of drift in pesticide applications, it is fundamental to know the behavior of sprayed droplets. This study aimed to determine drift curves in pesticide applications on common bean crop under brazilian weather conditions, using different nozzle types and compared them with the "German" and "Dutch" drift prediction models. The experiment was conducted in Uberlândia, Minas Gerais/Brazil, in completely randomized design with ten replications and 4 x 20 split-plot arrangement in space. Drift deposited on collectors located over ground level was resulted by 150 L ha-1 carrier volume applications through four nozzle types (XR 11002 (fine droplets); AIXR 11002 (coarse droplets); TT 11002 (medium droplets); TTI 11002 (extremely coarse droplets)), collected in 20 downwind distances, parallel to the crop line outside the target area, spaced by 2.5 m. The tracer rhodamine B was added to the spray to be quantified by fluorimetry. Drift prediction models adjusted by exponential functions were obtained considering the 90th percentile for XR, TT, AIXR and TTI nozzles. It is suggested to use the estimated drift models from this study for each nozzle type in drift prediction evaluations on bean crops under brazilian weather conditions.
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spelling Drift curves from spray applications on commom bean cropDroplet sizespray nozzleexponential regressionapplication technologyABSTRACT In order to avoid the occurrence of drift in pesticide applications, it is fundamental to know the behavior of sprayed droplets. This study aimed to determine drift curves in pesticide applications on common bean crop under brazilian weather conditions, using different nozzle types and compared them with the "German" and "Dutch" drift prediction models. The experiment was conducted in Uberlândia, Minas Gerais/Brazil, in completely randomized design with ten replications and 4 x 20 split-plot arrangement in space. Drift deposited on collectors located over ground level was resulted by 150 L ha-1 carrier volume applications through four nozzle types (XR 11002 (fine droplets); AIXR 11002 (coarse droplets); TT 11002 (medium droplets); TTI 11002 (extremely coarse droplets)), collected in 20 downwind distances, parallel to the crop line outside the target area, spaced by 2.5 m. The tracer rhodamine B was added to the spray to be quantified by fluorimetry. Drift prediction models adjusted by exponential functions were obtained considering the 90th percentile for XR, TT, AIXR and TTI nozzles. It is suggested to use the estimated drift models from this study for each nozzle type in drift prediction evaluations on bean crops under brazilian weather conditions.Editora da UFLA2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542016000600621Ciência e Agrotecnologia v.40 n.6 2016reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/1413-70542016406016716info:eu-repo/semantics/openAccessBueno,Mariana RodriguesCunha,João Paulo Arantes Rodrigues daSantana,Denise Garcia deeng2016-11-11T00:00:00Zoai:scielo:S1413-70542016000600621Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2016-11-11T00:00Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Drift curves from spray applications on commom bean crop
title Drift curves from spray applications on commom bean crop
spellingShingle Drift curves from spray applications on commom bean crop
Bueno,Mariana Rodrigues
Droplet size
spray nozzle
exponential regression
application technology
title_short Drift curves from spray applications on commom bean crop
title_full Drift curves from spray applications on commom bean crop
title_fullStr Drift curves from spray applications on commom bean crop
title_full_unstemmed Drift curves from spray applications on commom bean crop
title_sort Drift curves from spray applications on commom bean crop
author Bueno,Mariana Rodrigues
author_facet Bueno,Mariana Rodrigues
Cunha,João Paulo Arantes Rodrigues da
Santana,Denise Garcia de
author_role author
author2 Cunha,João Paulo Arantes Rodrigues da
Santana,Denise Garcia de
author2_role author
author
dc.contributor.author.fl_str_mv Bueno,Mariana Rodrigues
Cunha,João Paulo Arantes Rodrigues da
Santana,Denise Garcia de
dc.subject.por.fl_str_mv Droplet size
spray nozzle
exponential regression
application technology
topic Droplet size
spray nozzle
exponential regression
application technology
description ABSTRACT In order to avoid the occurrence of drift in pesticide applications, it is fundamental to know the behavior of sprayed droplets. This study aimed to determine drift curves in pesticide applications on common bean crop under brazilian weather conditions, using different nozzle types and compared them with the "German" and "Dutch" drift prediction models. The experiment was conducted in Uberlândia, Minas Gerais/Brazil, in completely randomized design with ten replications and 4 x 20 split-plot arrangement in space. Drift deposited on collectors located over ground level was resulted by 150 L ha-1 carrier volume applications through four nozzle types (XR 11002 (fine droplets); AIXR 11002 (coarse droplets); TT 11002 (medium droplets); TTI 11002 (extremely coarse droplets)), collected in 20 downwind distances, parallel to the crop line outside the target area, spaced by 2.5 m. The tracer rhodamine B was added to the spray to be quantified by fluorimetry. Drift prediction models adjusted by exponential functions were obtained considering the 90th percentile for XR, TT, AIXR and TTI nozzles. It is suggested to use the estimated drift models from this study for each nozzle type in drift prediction evaluations on bean crops under brazilian weather conditions.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-01
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=S1413-70542016000600621
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542016000600621
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1413-70542016406016716
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 Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia v.40 n.6 2016
reponame:Ciência e Agrotecnologia (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Ciência e Agrotecnologia (Online)
collection Ciência e Agrotecnologia (Online)
repository.name.fl_str_mv Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv ||renpaiva@dbi.ufla.br|| editora@editora.ufla.br
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