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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.date.available
2020-09-14T12:24:08Z
dc.date.issued
2020-08
dc.identifier.citation
Molinari, Franco Ariel; 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; Elsevier; Computers and Eletronics in Agriculture; 175; 8-2020; 105597
dc.identifier.issn
0168-1699
dc.identifier.uri
http://hdl.handle.net/11336/113875
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
AGRICULTURAL SYSTEM MODELING
dc.subject
BARLEY
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INTEGRATED WEED MANAGEMENT
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WEED COMPETITION
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WHEAT
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WILD OAT
dc.subject.classification
Agronomía, reproducción y protección de plantas
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Agricultura, Silvicultura y Pesca
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CIENCIAS AGRÍCOLAS
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Ciencias de la Información y Bioinformática
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Ciencias de la Computación e Información
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CIENCIAS NATURALES Y EXACTAS
dc.title
Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-09-02T19:11:06Z
dc.journal.volume
175
dc.journal.pagination
105597
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Molinari, Franco Ariel. 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. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; 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.journal.title
Computers and Eletronics in Agriculture
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0168169919326031
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.compag.2020.105597
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