Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control
A mathematical simulation model for the multi-annual assessment of Integrated Weed Management strategies is presented. The model allows the simulation of the competitive interaction between annual weeds and crops. For weed development, the following processes are represented: (i) demographic dynamic...
| Main Authors: | , , , |
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| Format: | Artículo |
| Language: | Inglés |
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Elsevier
2020
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| Online Access: | http://hdl.handle.net/20.500.12123/7548 https://www.sciencedirect.com/science/article/pii/S0168169919326031 https://doi.org/10.1016/j.compag.2020.105597 |
| _version_ | 1855484030808489984 |
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| author | Molinari, Franco A. Blanco, Anibal Manuel Vigna, Mario Raul Chantre Balacca, Guillermo Ruben |
| author_browse | Blanco, Anibal Manuel Chantre Balacca, Guillermo Ruben Molinari, Franco A. Vigna, Mario Raul |
| author_facet | Molinari, Franco A. Blanco, Anibal Manuel Vigna, Mario Raul Chantre Balacca, Guillermo Ruben |
| author_sort | Molinari, Franco A. |
| collection | INTA Digital |
| description | A mathematical simulation model for the multi-annual assessment of Integrated Weed Management strategies is presented. The model allows the simulation of the competitive interaction between annual weeds and crops. For weed development, the following processes are represented: (i) demographic dynamics on a daily basis considering the numeric composition of the different phenological states, (ii) intra and inter specific competition, (iii) seed production and (v) the effect of different control methods. For the crop development, the computed variables are: (i) Leaf Area Index, (ii) competitive effect over the weed, (iii) the expected yield as a function of weed competition. The model was developed in close collaboration with agricultural technicians and extensionists aiming to target a decision-making related audience. Results are provided for a wild oat (Avena fatua) – winter wheat (Triticum aestivum) / malting barley (Hordeum distichum) rotation system, typical of the Semiarid Pampean Region of Argentina. Multi-annual scenarios were generated to evaluate the effect of different management strategies against common herbicide-based practices in susceptible and resistant weed populations. Parts of the model were validated with independent experimental data. Finally, future improvements of the model and some guidelines towards the development of a long-term Decision Support System for weed management are provided. |
| format | Artículo |
| id | INTA7548 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA75482020-07-14T14:19:34Z Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control Molinari, Franco A. Blanco, Anibal Manuel Vigna, Mario Raul Chantre Balacca, Guillermo Ruben Malezas Escarda Modelos de Simulación Cultivos Competición de Malas Hierbas Weeds Weed Control Simulation Models Crops Weed Competition Control de Malezas A mathematical simulation model for the multi-annual assessment of Integrated Weed Management strategies is presented. The model allows the simulation of the competitive interaction between annual weeds and crops. For weed development, the following processes are represented: (i) demographic dynamics on a daily basis considering the numeric composition of the different phenological states, (ii) intra and inter specific competition, (iii) seed production and (v) the effect of different control methods. For the crop development, the computed variables are: (i) Leaf Area Index, (ii) competitive effect over the weed, (iii) the expected yield as a function of weed competition. The model was developed in close collaboration with agricultural technicians and extensionists aiming to target a decision-making related audience. Results are provided for a wild oat (Avena fatua) – winter wheat (Triticum aestivum) / malting barley (Hordeum distichum) rotation system, typical of the Semiarid Pampean Region of Argentina. Multi-annual scenarios were generated to evaluate the effect of different management strategies against common herbicide-based practices in susceptible and resistant weed populations. Parts of the model were validated with independent experimental data. Finally, future improvements of the model and some guidelines towards the development of a long-term Decision Support System for weed management are provided. EEA Bordenave Fil: Molinari, Franco A. Universidad Nacional del Sur. Departamento de Agronomía; Argentina. Provincia de Buenos Aires. Comisión de Investigaciones Científicas; Argentina Fil: Blanco, Aníbal M. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina Fil: Vigna, Mario Raúl. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave; Argentina Fil: Chantre Balacca, Guillermo Ruben. Universidad Nacional del Sur. Departamento de Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiarida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiarida; Argentina 2020-07-14T14:14:55Z 2020-07-14T14:14:55Z 2020 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/7548 https://www.sciencedirect.com/science/article/pii/S0168169919326031 0168-1699 https://doi.org/10.1016/j.compag.2020.105597 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Computers and Electronics in Agriculture 175 : 105597 (August 2020) |
| spellingShingle | Malezas Escarda Modelos de Simulación Cultivos Competición de Malas Hierbas Weeds Weed Control Simulation Models Crops Weed Competition Control de Malezas Molinari, Franco A. Blanco, Anibal Manuel Vigna, Mario Raul Chantre Balacca, Guillermo Ruben Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control |
| title | Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control |
| title_full | Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control |
| title_fullStr | Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control |
| title_full_unstemmed | Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control |
| title_short | Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control |
| title_sort | towards an integrated weed management decision support system a simulation model for weed crop competition and control |
| topic | Malezas Escarda Modelos de Simulación Cultivos Competición de Malas Hierbas Weeds Weed Control Simulation Models Crops Weed Competition Control de Malezas |
| url | http://hdl.handle.net/20.500.12123/7548 https://www.sciencedirect.com/science/article/pii/S0168169919326031 https://doi.org/10.1016/j.compag.2020.105597 |
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