Field data and prediction models of pesticide spray drift on coffee crop
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | |
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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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) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416650754621440 |