Regression analysis to evaluate herbicide drift and injury in Roundup Ready cotton in wind tunnel
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista ciência agronômica (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902021000200412 |
Resumo: | ABSTRACT The aim was: (i) to propose a regression model for the association between injury in Roundup Ready (RR) cotton plants and drift of auxins, isolated or associated with glyphosate; (ii) to evaluate the effect of adding glyphosate to dicamba and 2,4-D auxinic herbicides on the physicochemical properties of the spray solutions; and (iii) to validate the wind tunnel as a tool to perform herbicide injury prediction. Three experiments were conducted using the following spray solutions: glyphosate (0.225 kg a.e. ha-1); dicamba (0.120 kg a.e. ha-1); 2,4-D (0.168 kg a.e. ha-1); glyphosate + dicamba (0.225 + 0.120 kg a.e. ha -1) and glyphosate + 2,4-D (0.225 + 0.168 kg a.e. ha-1). Experiment I assessed drift in wind tunnel at distances of 5, 10 and 15 m from the nozzle spray drift. Experiment II assessed injury on cotton plants arranged at the same distances as in experiment I. Experiment III studied the physicochemical characteristics of the spray solutions used in experiment I, assessing surface tension, pH and density. The collected drift and injury are directly proportional, following a simple linear regression model, with increased drift and injury potential at 5 m from the sprayer. The addition of glyphosate to 2,4-D and dicamba herbicides reduced surface tension and pH of the spray solutions. The wind tunnel, besides evaluating drift potential, was found to be an alternative for the prediction of injury in RR cotton plants. |
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Regression analysis to evaluate herbicide drift and injury in Roundup Ready cotton in wind tunnelGossypium hirsutum L.DicambaEPSPS InhibitorsWind tunnel2,4-DABSTRACT The aim was: (i) to propose a regression model for the association between injury in Roundup Ready (RR) cotton plants and drift of auxins, isolated or associated with glyphosate; (ii) to evaluate the effect of adding glyphosate to dicamba and 2,4-D auxinic herbicides on the physicochemical properties of the spray solutions; and (iii) to validate the wind tunnel as a tool to perform herbicide injury prediction. Three experiments were conducted using the following spray solutions: glyphosate (0.225 kg a.e. ha-1); dicamba (0.120 kg a.e. ha-1); 2,4-D (0.168 kg a.e. ha-1); glyphosate + dicamba (0.225 + 0.120 kg a.e. ha -1) and glyphosate + 2,4-D (0.225 + 0.168 kg a.e. ha-1). Experiment I assessed drift in wind tunnel at distances of 5, 10 and 15 m from the nozzle spray drift. Experiment II assessed injury on cotton plants arranged at the same distances as in experiment I. Experiment III studied the physicochemical characteristics of the spray solutions used in experiment I, assessing surface tension, pH and density. The collected drift and injury are directly proportional, following a simple linear regression model, with increased drift and injury potential at 5 m from the sprayer. The addition of glyphosate to 2,4-D and dicamba herbicides reduced surface tension and pH of the spray solutions. The wind tunnel, besides evaluating drift potential, was found to be an alternative for the prediction of injury in RR cotton plants.Universidade Federal do Ceará2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902021000200412Revista Ciência Agronômica v.52 n.2 2021reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20210025info:eu-repo/semantics/openAccessOliveira,Guilherme Mendes Pio deGandolfo,Marco AntonioDalazen,GiliardiOsipe,Jethro BarrosOliveira,Stella Mendes Pio deSilva,Marcelo Augusto de Aguiar eeng2021-08-06T00:00:00Zoai:scielo:S1806-66902021000200412Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2021-08-06T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Regression analysis to evaluate herbicide drift and injury in Roundup Ready cotton in wind tunnel |
title |
Regression analysis to evaluate herbicide drift and injury in Roundup Ready cotton in wind tunnel |
spellingShingle |
Regression analysis to evaluate herbicide drift and injury in Roundup Ready cotton in wind tunnel Oliveira,Guilherme Mendes Pio de Gossypium hirsutum L. Dicamba EPSPS Inhibitors Wind tunnel 2,4-D |
title_short |
Regression analysis to evaluate herbicide drift and injury in Roundup Ready cotton in wind tunnel |
title_full |
Regression analysis to evaluate herbicide drift and injury in Roundup Ready cotton in wind tunnel |
title_fullStr |
Regression analysis to evaluate herbicide drift and injury in Roundup Ready cotton in wind tunnel |
title_full_unstemmed |
Regression analysis to evaluate herbicide drift and injury in Roundup Ready cotton in wind tunnel |
title_sort |
Regression analysis to evaluate herbicide drift and injury in Roundup Ready cotton in wind tunnel |
author |
Oliveira,Guilherme Mendes Pio de |
author_facet |
Oliveira,Guilherme Mendes Pio de Gandolfo,Marco Antonio Dalazen,Giliardi Osipe,Jethro Barros Oliveira,Stella Mendes Pio de Silva,Marcelo Augusto de Aguiar e |
author_role |
author |
author2 |
Gandolfo,Marco Antonio Dalazen,Giliardi Osipe,Jethro Barros Oliveira,Stella Mendes Pio de Silva,Marcelo Augusto de Aguiar e |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Oliveira,Guilherme Mendes Pio de Gandolfo,Marco Antonio Dalazen,Giliardi Osipe,Jethro Barros Oliveira,Stella Mendes Pio de Silva,Marcelo Augusto de Aguiar e |
dc.subject.por.fl_str_mv |
Gossypium hirsutum L. Dicamba EPSPS Inhibitors Wind tunnel 2,4-D |
topic |
Gossypium hirsutum L. Dicamba EPSPS Inhibitors Wind tunnel 2,4-D |
description |
ABSTRACT The aim was: (i) to propose a regression model for the association between injury in Roundup Ready (RR) cotton plants and drift of auxins, isolated or associated with glyphosate; (ii) to evaluate the effect of adding glyphosate to dicamba and 2,4-D auxinic herbicides on the physicochemical properties of the spray solutions; and (iii) to validate the wind tunnel as a tool to perform herbicide injury prediction. Three experiments were conducted using the following spray solutions: glyphosate (0.225 kg a.e. ha-1); dicamba (0.120 kg a.e. ha-1); 2,4-D (0.168 kg a.e. ha-1); glyphosate + dicamba (0.225 + 0.120 kg a.e. ha -1) and glyphosate + 2,4-D (0.225 + 0.168 kg a.e. ha-1). Experiment I assessed drift in wind tunnel at distances of 5, 10 and 15 m from the nozzle spray drift. Experiment II assessed injury on cotton plants arranged at the same distances as in experiment I. Experiment III studied the physicochemical characteristics of the spray solutions used in experiment I, assessing surface tension, pH and density. The collected drift and injury are directly proportional, following a simple linear regression model, with increased drift and injury potential at 5 m from the sprayer. The addition of glyphosate to 2,4-D and dicamba herbicides reduced surface tension and pH of the spray solutions. The wind tunnel, besides evaluating drift potential, was found to be an alternative for the prediction of injury in RR cotton plants. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
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=S1806-66902021000200412 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902021000200412 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5935/1806-6690.20210025 |
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 |
Universidade Federal do Ceará |
publisher.none.fl_str_mv |
Universidade Federal do Ceará |
dc.source.none.fl_str_mv |
Revista Ciência Agronômica v.52 n.2 2021 reponame:Revista ciência agronômica (Online) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Revista ciência agronômica (Online) |
collection |
Revista ciência agronômica (Online) |
repository.name.fl_str_mv |
Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
||alekdutra@ufc.br|| ccarev@ufc.br |
_version_ |
1750297490262851584 |