Field data and prediction models of pesticide spray drift on coffee crop

Detalhes bibliográficos
Autor(a) principal: Alves, Guilherme Sousa
Data de Publicação: 2014
Outros Autores: Cunha, João Paulo Arantes Rodrigues da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/18586
Resumo: The objective of this work was to generate drift curves from pesticide applications on coffee plants and to compare them with two European drift‑prediction models. The used methodology is based on the ISO 22866 standard. The experimental design was a randomized complete block with ten replicates in a 2x20 split‑plot arrangement. The evaluated factors were: two types of nozzles (hollow cone with and without air induction) and 20 parallel distances to the crop line outside of the target area, spaced at 2.5 m. Blotting papers were used as a target and placed in each of the evaluated distances. The spray solution was composed of water+rhodamine B fluorescent tracer at a concentration of 100 mg L‑1, for detection by fluorimetry. A spray volume of 400 L ha‑1 was applied using a hydropneumatic sprayer. The air‑induction nozzle reduces the drift up to 20 m from the treated area. The application with the hollow cone nozzle results in 6.68% maximum drift in the nearest collector of the treated area. The German and Dutch models overestimate the drift at distances closest to the crop, although the Dutch model more closely approximates the drift curves generated by both spray nozzles. 
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spelling Field data and prediction models of pesticide spray drift on coffee cropDados de campo e modelos de estimação de deriva nas aplicações de agrotóxicos na cultura do caféCoffea arabica; drift curves; environmental contamination; hydropneumatic sprayer; nozzlesCoffea arabica; curvas de deriva; contaminação ambiental; pulverizador hidropneumático; pontas de pulverizaçãoThe objective of this work was to generate drift curves from pesticide applications on coffee plants and to compare them with two European drift‑prediction models. The used methodology is based on the ISO 22866 standard. The experimental design was a randomized complete block with ten replicates in a 2x20 split‑plot arrangement. The evaluated factors were: two types of nozzles (hollow cone with and without air induction) and 20 parallel distances to the crop line outside of the target area, spaced at 2.5 m. Blotting papers were used as a target and placed in each of the evaluated distances. The spray solution was composed of water+rhodamine B fluorescent tracer at a concentration of 100 mg L‑1, for detection by fluorimetry. A spray volume of 400 L ha‑1 was applied using a hydropneumatic sprayer. The air‑induction nozzle reduces the drift up to 20 m from the treated area. The application with the hollow cone nozzle results in 6.68% maximum drift in the nearest collector of the treated area. The German and Dutch models overestimate the drift at distances closest to the crop, although the Dutch model more closely approximates the drift curves generated by both spray nozzles. O objetivo deste trabalho foi gerar curvas de deriva a partir de aplicações de agrotóxicos em cafeeiro e compará‑las a dois modelos europeus de simulação de deriva. A metodologia utilizada baseia-se na norma ISO 22866. Utilizou-se o delineamento experimental de blocos ao acaso, com dez repetições, em arranjo fatorial 2x20 com parcelas subdivididas. Os fatores avaliados foram: dois tipos de pontas de pulverização (cone vazio com e sem indução de ar) e 20 distâncias paralelas à linha de cultivo fora da área‑alvo, espaçadas em 2,5 m. Foram colocados papéis filtrantes como alvo, em cada uma das distância avaliadas. A calda foi composta por água+corante fluorescente rodamina B na concentração de 100 mg L‑1, para detecção por fluorimetria. Aplicou-se volume de calda de 400 L ha‑1, por pulverizador hidropneumático. A ponta com indução de ar reduz a deriva até 20 m de distância da área tratada. A aplicação com ponta de jato cônico resulta em deriva máxima de 6,68% no ponto de coleta mais próximo da área tratada. Os modelos Alemão e Holandês superestimam a deriva nas distâncias mais próximas à cultura, embora o modelo Holandês se aproxime mais das curvas de deriva geradas por ambas as pontas de pulverização.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCNPq e FAPEMIGAlves, Guilherme SousaCunha, João Paulo Arantes Rodrigues da2014-08-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/18586Pesquisa Agropecuaria Brasileira; v.49, n.8, ago. 2014; 622-629Pesquisa Agropecuária Brasileira; v.49, n.8, ago. 2014; 622-6291678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAenghttps://seer.sct.embrapa.br/index.php/pab/article/view/18586/12753https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/18586/11010https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/18586/11011info:eu-repo/semantics/openAccess2014-10-13T16:23:19Zoai:ojs.seer.sct.embrapa.br:article/18586Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-10-13T16:23:19Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Field data and prediction models of pesticide spray drift on coffee crop
Dados de campo e modelos de estimação de deriva nas aplicações de agrotóxicos na cultura do café
title Field data and prediction models of pesticide spray drift on coffee crop
spellingShingle Field data and prediction models of pesticide spray drift on coffee crop
Alves, Guilherme Sousa
Coffea arabica; drift curves; environmental contamination; hydropneumatic sprayer; nozzles
Coffea arabica; curvas de deriva; contaminação ambiental; pulverizador hidropneumático; pontas de pulverização
title_short Field data and prediction models of pesticide spray drift on coffee crop
title_full Field data and prediction models of pesticide spray drift on coffee crop
title_fullStr Field data and prediction models of pesticide spray drift on coffee crop
title_full_unstemmed Field data and prediction models of pesticide spray drift on coffee crop
title_sort Field data and prediction models of pesticide spray drift on coffee crop
author Alves, Guilherme Sousa
author_facet Alves, Guilherme Sousa
Cunha, João Paulo Arantes Rodrigues da
author_role author
author2 Cunha, João Paulo Arantes Rodrigues da
author2_role author
dc.contributor.none.fl_str_mv CNPq e FAPEMIG

dc.contributor.author.fl_str_mv Alves, Guilherme Sousa
Cunha, João Paulo Arantes Rodrigues da
dc.subject.por.fl_str_mv Coffea arabica; drift curves; environmental contamination; hydropneumatic sprayer; nozzles
Coffea arabica; curvas de deriva; contaminação ambiental; pulverizador hidropneumático; pontas de pulverização
topic Coffea arabica; drift curves; environmental contamination; hydropneumatic sprayer; nozzles
Coffea arabica; curvas de deriva; contaminação ambiental; pulverizador hidropneumático; pontas de pulverização
description The objective of this work was to generate drift curves from pesticide applications on coffee plants and to compare them with two European drift‑prediction models. The used methodology is based on the ISO 22866 standard. The experimental design was a randomized complete block with ten replicates in a 2x20 split‑plot arrangement. The evaluated factors were: two types of nozzles (hollow cone with and without air induction) and 20 parallel distances to the crop line outside of the target area, spaced at 2.5 m. Blotting papers were used as a target and placed in each of the evaluated distances. The spray solution was composed of water+rhodamine B fluorescent tracer at a concentration of 100 mg L‑1, for detection by fluorimetry. A spray volume of 400 L ha‑1 was applied using a hydropneumatic sprayer. The air‑induction nozzle reduces the drift up to 20 m from the treated area. The application with the hollow cone nozzle results in 6.68% maximum drift in the nearest collector of the treated area. The German and Dutch models overestimate the drift at distances closest to the crop, although the Dutch model more closely approximates the drift curves generated by both spray nozzles. 
publishDate 2014
dc.date.none.fl_str_mv 2014-08-29
dc.type.none.fl_str_mv
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://seer.sct.embrapa.br/index.php/pab/article/view/18586
url https://seer.sct.embrapa.br/index.php/pab/article/view/18586
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/18586/12753
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/18586/11010
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/18586/11011
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.49, n.8, ago. 2014; 622-629
Pesquisa Agropecuária Brasileira; v.49, n.8, ago. 2014; 622-629
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
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repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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