Junglerice (Echinochloa colonaL.) seedling emergence model as a tool to optimize pre-emergent herbicide application
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...
| Autores principales: | , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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Italian Society for Agronomy
2021
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| Acceso en línea: | 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 |
| _version_ | 1855484692120207360 |
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| author | Picapietra, Gabriel Acciaresi, Horacio Abel |
| author_browse | Acciaresi, Horacio Abel Picapietra, Gabriel |
| author_facet | Picapietra, Gabriel Acciaresi, Horacio Abel |
| author_sort | Picapietra, Gabriel |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA10977 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Italian Society for Agronomy |
| publisherStr | Italian Society for Agronomy |
| record_format | dspace |
| spelling | INTA109772021-12-23T10:50:45Z Junglerice (Echinochloa colonaL.) seedling emergence model as a tool to optimize pre-emergent herbicide application Picapietra, Gabriel Acciaresi, Horacio Abel 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 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 2021-12-23T10:44:22Z 2021-12-23T10:44:22Z 2021-07 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng 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) application/pdf Italian Society for Agronomy Italian Journal of Agronomy 16 (4) : 1845. (November 2021). |
| spellingShingle | 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 Picapietra, Gabriel Acciaresi, Horacio Abel 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 |
| 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_short | 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 |
| 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 |
| 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 |
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