Mostrar el registro sencillo del ítem
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
dc.subject
WILD OAT
dc.subject
BARLEY
dc.subject
WHEAT
dc.subject.classification
Agronomía, reproducción y protección de plantas
dc.subject.classification
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.
Archivos asociados