Junglerice (Echinochloa colonaL.) seedling emergence model as a tool to optimize pre-emergent herbicide application

Autores
Picapietra, Gabriel; Acciaresi, Horacio Abel
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Junglerice (Echinochloa colona), one of the worst and most problematic weeds globally, causes significant economic losses due to yield loss and control cost increase. Taking into account that this weed emerges in approximately five months - from September to January -, and considering that reducing herbicide use is key in the current intensification of agricultural production systems, the present study was carried out under the hypothesis that there should be an optimal moment for pre-emergent herbicide application to achieve maximum weed control effectiveness and efficiency. Therefore, experiments were carried out from August 2016 to January 2021 in Pergamino, Buenos Aires province, Argentina, using a double-logistic emergence model of junglerice seedlings. Bicyclopyrone plus s-metolachlor, clomazone, and pyroxasulfone plus saflufenacil were applied at different times between 92 and 478 growing degree days (GDDs). Single applications between 348 and 399 GDD were observed to reduce junglerice seedling emergence by 85 99%, depending on the herbicide used. Such a seedling emergence reduction could be a convenient strategy to provide significant weed suppression in the field in combination with a competitive crop and within a sustainable production system. The results of the present study lead to the conclusion that using predictive models for pre-emergent herbicide applications ensures more effective use of herbicides and reduces the amounts of herbicides used and the risks of selecting herbicide-resistant junglerice populations.
EEA Pergamino
Fil: Picapietra, Gabirel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Malezas; Argentina
Fil: Picapietra, Gabirel. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales (ECANA); Argentina
Fil: Acciaresi, Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Malezas; Argentina
Fil: Acciaresi, Horacio. Provincia de Buenos Aires. Comisión de Investigaciones Científicas; Argentina
Fuente
Italian Journal of Agronomy 16 (4) : 1845. (November 2021).
Materia
Malezas
Control Químico
Herbicidas
Residuos de Plaguicidas
Echinochloa colona
Medio Ambiente
Gestión Ambiental
Weeds
Chemical Control
Herbicides
Pesticide Residues
Environment
Environmental Management
Pergamino, Buenos Aires
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/10977
Acceder
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oai_identifier_str oai:localhost:20.500.12123/10977
network_acronym_str INTADig
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network_name_str INTA Digital (INTA)
spelling Junglerice (Echinochloa colonaL.) seedling emergence model as a tool to optimize pre-emergent herbicide applicationPicapietra, GabrielAcciaresi, Horacio AbelMalezasControl QuímicoHerbicidasResiduos de PlaguicidasEchinochloa colonaMedio AmbienteGestión AmbientalWeedsChemical ControlHerbicidesPesticide ResiduesEnvironmentEnvironmental ManagementPergamino, Buenos AiresJunglerice (Echinochloa colona), one of the worst and most problematic weeds globally, causes significant economic losses due to yield loss and control cost increase. Taking into account that this weed emerges in approximately five months - from September to January -, and considering that reducing herbicide use is key in the current intensification of agricultural production systems, the present study was carried out under the hypothesis that there should be an optimal moment for pre-emergent herbicide application to achieve maximum weed control effectiveness and efficiency. Therefore, experiments were carried out from August 2016 to January 2021 in Pergamino, Buenos Aires province, Argentina, using a double-logistic emergence model of junglerice seedlings. Bicyclopyrone plus s-metolachlor, clomazone, and pyroxasulfone plus saflufenacil were applied at different times between 92 and 478 growing degree days (GDDs). Single applications between 348 and 399 GDD were observed to reduce junglerice seedling emergence by 85 99%, depending on the herbicide used. Such a seedling emergence reduction could be a convenient strategy to provide significant weed suppression in the field in combination with a competitive crop and within a sustainable production system. The results of the present study lead to the conclusion that using predictive models for pre-emergent herbicide applications ensures more effective use of herbicides and reduces the amounts of herbicides used and the risks of selecting herbicide-resistant junglerice populations.EEA PergaminoFil: Picapietra, Gabirel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Malezas; ArgentinaFil: Picapietra, Gabirel. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales (ECANA); ArgentinaFil: Acciaresi, Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Malezas; ArgentinaFil: Acciaresi, Horacio. Provincia de Buenos Aires. Comisión de Investigaciones Científicas; ArgentinaItalian Society for Agronomy2021-12-23T10:44:22Z2021-12-23T10:44:22Z2021-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/10977https://www.agronomy.it/index.php/agro/article/view/18452039-6805 (online)https://doi.org/10.4081/ija.2021.1845Italian Journal of Agronomy 16 (4) : 1845. (November 2021).reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-04T09:49:13Zoai:localhost:20.500.12123/10977instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:49:14.281INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Junglerice (Echinochloa colonaL.) seedling emergence model as a tool to optimize pre-emergent herbicide application
title Junglerice (Echinochloa colonaL.) seedling emergence model as a tool to optimize pre-emergent herbicide application
spellingShingle Junglerice (Echinochloa colonaL.) seedling emergence model as a tool to optimize pre-emergent herbicide application
Picapietra, Gabriel
Malezas
Control Químico
Herbicidas
Residuos de Plaguicidas
Echinochloa colona
Medio Ambiente
Gestión Ambiental
Weeds
Chemical Control
Herbicides
Pesticide Residues
Environment
Environmental Management
Pergamino, Buenos Aires
title_short Junglerice (Echinochloa colonaL.) seedling emergence model as a tool to optimize pre-emergent herbicide application
title_full Junglerice (Echinochloa colonaL.) seedling emergence model as a tool to optimize pre-emergent herbicide application
title_fullStr Junglerice (Echinochloa colonaL.) seedling emergence model as a tool to optimize pre-emergent herbicide application
title_full_unstemmed Junglerice (Echinochloa colonaL.) seedling emergence model as a tool to optimize pre-emergent herbicide application
title_sort Junglerice (Echinochloa colonaL.) seedling emergence model as a tool to optimize pre-emergent herbicide application
dc.creator.none.fl_str_mv Picapietra, Gabriel
Acciaresi, Horacio Abel
author Picapietra, Gabriel
author_facet Picapietra, Gabriel
Acciaresi, Horacio Abel
author_role author
author2 Acciaresi, Horacio Abel
author2_role author
dc.subject.none.fl_str_mv Malezas
Control Químico
Herbicidas
Residuos de Plaguicidas
Echinochloa colona
Medio Ambiente
Gestión Ambiental
Weeds
Chemical Control
Herbicides
Pesticide Residues
Environment
Environmental Management
Pergamino, Buenos Aires
topic Malezas
Control Químico
Herbicidas
Residuos de Plaguicidas
Echinochloa colona
Medio Ambiente
Gestión Ambiental
Weeds
Chemical Control
Herbicides
Pesticide Residues
Environment
Environmental Management
Pergamino, Buenos Aires
dc.description.none.fl_txt_mv Junglerice (Echinochloa colona), one of the worst and most problematic weeds globally, causes significant economic losses due to yield loss and control cost increase. Taking into account that this weed emerges in approximately five months - from September to January -, and considering that reducing herbicide use is key in the current intensification of agricultural production systems, the present study was carried out under the hypothesis that there should be an optimal moment for pre-emergent herbicide application to achieve maximum weed control effectiveness and efficiency. Therefore, experiments were carried out from August 2016 to January 2021 in Pergamino, Buenos Aires province, Argentina, using a double-logistic emergence model of junglerice seedlings. Bicyclopyrone plus s-metolachlor, clomazone, and pyroxasulfone plus saflufenacil were applied at different times between 92 and 478 growing degree days (GDDs). Single applications between 348 and 399 GDD were observed to reduce junglerice seedling emergence by 85 99%, depending on the herbicide used. Such a seedling emergence reduction could be a convenient strategy to provide significant weed suppression in the field in combination with a competitive crop and within a sustainable production system. The results of the present study lead to the conclusion that using predictive models for pre-emergent herbicide applications ensures more effective use of herbicides and reduces the amounts of herbicides used and the risks of selecting herbicide-resistant junglerice populations.
EEA Pergamino
Fil: Picapietra, Gabirel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Malezas; Argentina
Fil: Picapietra, Gabirel. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales (ECANA); Argentina
Fil: Acciaresi, Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Malezas; Argentina
Fil: Acciaresi, Horacio. Provincia de Buenos Aires. Comisión de Investigaciones Científicas; Argentina
description Junglerice (Echinochloa colona), one of the worst and most problematic weeds globally, causes significant economic losses due to yield loss and control cost increase. Taking into account that this weed emerges in approximately five months - from September to January -, and considering that reducing herbicide use is key in the current intensification of agricultural production systems, the present study was carried out under the hypothesis that there should be an optimal moment for pre-emergent herbicide application to achieve maximum weed control effectiveness and efficiency. Therefore, experiments were carried out from August 2016 to January 2021 in Pergamino, Buenos Aires province, Argentina, using a double-logistic emergence model of junglerice seedlings. Bicyclopyrone plus s-metolachlor, clomazone, and pyroxasulfone plus saflufenacil were applied at different times between 92 and 478 growing degree days (GDDs). Single applications between 348 and 399 GDD were observed to reduce junglerice seedling emergence by 85 99%, depending on the herbicide used. Such a seedling emergence reduction could be a convenient strategy to provide significant weed suppression in the field in combination with a competitive crop and within a sustainable production system. The results of the present study lead to the conclusion that using predictive models for pre-emergent herbicide applications ensures more effective use of herbicides and reduces the amounts of herbicides used and the risks of selecting herbicide-resistant junglerice populations.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-23T10:44:22Z
2021-12-23T10:44:22Z
2021-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/10977
https://www.agronomy.it/index.php/agro/article/view/1845
2039-6805 (online)
https://doi.org/10.4081/ija.2021.1845
url http://hdl.handle.net/20.500.12123/10977
https://www.agronomy.it/index.php/agro/article/view/1845
https://doi.org/10.4081/ija.2021.1845
identifier_str_mv 2039-6805 (online)
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Italian Society for Agronomy
publisher.none.fl_str_mv Italian Society for Agronomy
dc.source.none.fl_str_mv Italian Journal of Agronomy 16 (4) : 1845. (November 2021).
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.623145

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