Operational planning of herbicide-based weed management
Weeds cause crop yield loss due to competition, interfere with agricultural activities and reduce grain quality due to seed contamination. Among the numerous methods for weed control, the use of herbicides is the most common practice. Nowadays, the optimization of herbicide application is pursued to...
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| Format: | Artículo |
| Language: | Inglés |
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2018
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| Online Access: | https://www.sciencedirect.com/science/article/pii/S0308521X13000929 http://hdl.handle.net/20.500.12123/2888 https://doi.org/10.1016/j.agsy.2013.07.006 |
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| author | Lodovichi, Mariela Victoria Blanco, Anibal Manuel Chantre Balacca, Guillermo Ruben Bandoni, Jose Alberto Sabbatini, Mario Ricardo Vigna, Mario Raul Lopez, Ricardo Luis Gigon, Ramon |
| author_browse | Bandoni, Jose Alberto Blanco, Anibal Manuel Chantre Balacca, Guillermo Ruben Gigon, Ramon Lodovichi, Mariela Victoria Lopez, Ricardo Luis Sabbatini, Mario Ricardo Vigna, Mario Raul |
| author_facet | Lodovichi, Mariela Victoria Blanco, Anibal Manuel Chantre Balacca, Guillermo Ruben Bandoni, Jose Alberto Sabbatini, Mario Ricardo Vigna, Mario Raul Lopez, Ricardo Luis Gigon, Ramon |
| author_sort | Lodovichi, Mariela Victoria |
| collection | INTA Digital |
| description | Weeds cause crop yield loss due to competition, interfere with agricultural activities and reduce grain quality due to seed contamination. Among the numerous methods for weed control, the use of herbicides is the most common practice. Nowadays, the optimization of herbicide application is pursued to reduce the environmental impact, delay the appearance of herbicide-resistant weed populations, and improve the cost/benefit ratio of the agronomic business. This work proposes an operational planning model, aimed at calculating the optimal application times of herbicides in no-tillage systems within a growing season in order to maximize the economic benefit of the activity while rationalizing the intensity of the applications with respect to expert-knowledge-based recommendations. The model can decide on herbicide applications on a daily basis, consistent with timing of agricultural activities, and provides an explicit quantification of the environmental impact as an external cost. The proposed approach was tested on a winter wheat (Triticum aestivum)–wild oat (Avena fatua) system, typical of the semiarid region of Argentina. In all the studied scenarios at least two pre-sowing applications of non-selective herbicides were required to effectively control early emerging weed seedlings. Additional pre-sowing and post-emergence applications were also advised in cases when competitive pressure was significant. |
| format | Artículo |
| id | INTA2888 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | INTA28882018-07-26T15:03:08Z Operational planning of herbicide-based weed management Lodovichi, Mariela Victoria Blanco, Anibal Manuel Chantre Balacca, Guillermo Ruben Bandoni, Jose Alberto Sabbatini, Mario Ricardo Vigna, Mario Raul Lopez, Ricardo Luis Gigon, Ramon Malezas Herbicidas Impacto Ambiental Weeds Weed Control Herbicides Environmental Impact Control de Malezas Weeds cause crop yield loss due to competition, interfere with agricultural activities and reduce grain quality due to seed contamination. Among the numerous methods for weed control, the use of herbicides is the most common practice. Nowadays, the optimization of herbicide application is pursued to reduce the environmental impact, delay the appearance of herbicide-resistant weed populations, and improve the cost/benefit ratio of the agronomic business. This work proposes an operational planning model, aimed at calculating the optimal application times of herbicides in no-tillage systems within a growing season in order to maximize the economic benefit of the activity while rationalizing the intensity of the applications with respect to expert-knowledge-based recommendations. The model can decide on herbicide applications on a daily basis, consistent with timing of agricultural activities, and provides an explicit quantification of the environmental impact as an external cost. The proposed approach was tested on a winter wheat (Triticum aestivum)–wild oat (Avena fatua) system, typical of the semiarid region of Argentina. In all the studied scenarios at least two pre-sowing applications of non-selective herbicides were required to effectively control early emerging weed seedlings. Additional pre-sowing and post-emergence applications were also advised in cases when competitive pressure was significant. EEA Bordenave Fil: Lodovichi, Mariela Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; Argentina Fil: Blanco, Anibal Manuel. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnol.conicet - Bahia Blanca. Planta Piloto de Ingenieria Quimica (i). Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina Fil: Chantre Balacca, Guillermo Ruben. Universidad Nacional del Sur. Departamento de Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina Fil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnol.conicet - Bahia Blanca. Planta Piloto de Ingenieria Quimica (i). Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina Fil: Sabbatini, Mario Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; Argentina Fil: Vigna, Mario Raúl. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave; Argentina Fil: López, Ricardo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave; Argentina Fil: Gigón, Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave; Argentina 2018-07-26T15:01:48Z 2018-07-26T15:01:48Z 2013-10 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://www.sciencedirect.com/science/article/pii/S0308521X13000929 http://hdl.handle.net/20.500.12123/2888 0308-521X https://doi.org/10.1016/j.agsy.2013.07.006 eng info:eu-repo/semantics/restrictedAccess application/pdf Agricultural Systems 121 : 117-129 (October 2013) |
| spellingShingle | Malezas Herbicidas Impacto Ambiental Weeds Weed Control Herbicides Environmental Impact Control de Malezas Lodovichi, Mariela Victoria Blanco, Anibal Manuel Chantre Balacca, Guillermo Ruben Bandoni, Jose Alberto Sabbatini, Mario Ricardo Vigna, Mario Raul Lopez, Ricardo Luis Gigon, Ramon Operational planning of herbicide-based weed management |
| title | Operational planning of herbicide-based weed management |
| title_full | Operational planning of herbicide-based weed management |
| title_fullStr | Operational planning of herbicide-based weed management |
| title_full_unstemmed | Operational planning of herbicide-based weed management |
| title_short | Operational planning of herbicide-based weed management |
| title_sort | operational planning of herbicide based weed management |
| topic | Malezas Herbicidas Impacto Ambiental Weeds Weed Control Herbicides Environmental Impact Control de Malezas |
| url | https://www.sciencedirect.com/science/article/pii/S0308521X13000929 http://hdl.handle.net/20.500.12123/2888 https://doi.org/10.1016/j.agsy.2013.07.006 |
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