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dc.contributor.author
Molinari, Franco Ariel  
dc.contributor.author
Blanco, Anibal Manuel  
dc.contributor.author
Vigna, Mario Raul  
dc.contributor.author
Chantre Balacca, Guillermo Ruben  
dc.contributor.other
Chantre Balacca, Guillermo Ruben  
dc.contributor.other
González Andújar, José Luis  
dc.date.available
2021-03-05T11:16:24Z  
dc.date.issued
2020  
dc.identifier.citation
Molinari, Franco Ariel; Blanco, Anibal Manuel; Vigna, Mario Raul; Chantre Balacca, Guillermo Ruben; A Simulation Model as the Core for Integrated Weed Management Decision Support Systems: The Case of Avena fatua-Winter Wheat in the Semiarid Pampean Region of Argentina; Springer Nature Switzerland AG; 2020; 311-333  
dc.identifier.isbn
978-3-030-44401-3  
dc.identifier.uri
http://hdl.handle.net/11336/127595  
dc.description.abstract
This chapter describes a mathematical simulation model for the multiannual assessment of Integrated Weed Management (IWM) strategies. The model allows to simulate the competitive interaction between an annual weed species and a grain crop. From the weed’s side, the following processes are represented: (1) demographic dynamics on a daily basis considering the numeric composition of the different phenological states, (2) intra- and interspecific competition, (3) seed production and (4) the effect of different control methods. Regarding the crop, the following variables are computed: (1) leaf area index (LAI), (2) competition on the weed and (3) expected yield as a function of weed competition. The model was developed on Microsoft Excel® with Visual Basic complements. Results are provided for the wild oat (Avena fatua)-winter wheat (Triticum aestivum) system, a typical system of the south-west area of the semiarid Pampean region of Argentina. The model was calibrated and validated with experimental data collected along 4 years. Several multi-year scenarios were generated to evaluate the effect of different IWM strategies against common herbicide-based practices. Finally, possible improvements to the model and some guidelines towards the development of a long-term DSS for weed management are provided.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer Nature Switzerland AG  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
INTEGRATED WEED MANAGEMENT  
dc.subject
AGRICULTURAL SYSTEM MODELLING  
dc.subject
WEED COMPETITION  
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WILD OAT  
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BARLEY  
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WHEAT  
dc.subject.classification
Agronomía, reproducción y protección de plantas  
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Agricultura, Silvicultura y Pesca  
dc.subject.classification
CIENCIAS AGRÍCOLAS  
dc.title
A Simulation Model as the Core for Integrated Weed Management Decision Support Systems: The Case of Avena fatua-Winter Wheat in the Semiarid Pampean Region of Argentina  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/bookPart  
dc.type
info:ar-repo/semantics/parte de libro  
dc.date.updated
2020-12-04T15:06:59Z  
dc.journal.pagination
311-333  
dc.journal.pais
Suiza  
dc.journal.ciudad
Cham  
dc.description.fil
Fil: Molinari, Franco Ariel. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; Argentina  
dc.description.fil
Fil: Blanco, Anibal Manuel. 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  
dc.description.fil
Fil: Vigna, Mario Raul. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Bordenave; Argentina  
dc.description.fil
Fil: Chantre Balacca, Guillermo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-030-44402-0_15  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/978-3-030-44402-0_15  
dc.conicet.paginas
342  
dc.source.titulo
Decision Support Systems for Weed Management  
dc.conicet.nroedicion
1a.