Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control

Autores
Molinari, Franco A.; Blanco, Anibal Manuel; Vigna, Mario Raul; Chantre Balacca, Guillermo Ruben
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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
Fuente
Computers and Electronics in Agriculture 175 : 105597 (August 2020)
Materia
Malezas
Escarda
Modelos de Simulación
Cultivos
Competición de Malas Hierbas
Weeds
Weed Control
Simulation Models
Crops
Weed Competition
Control de Malezas
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/7548
Acceder
id INTADig_83a0f00cd833e59d3e098a711bebf806
oai_identifier_str oai:localhost:20.500.12123/7548
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Towards an integrated weed management decision support system: A simulation model for weed-crop competition and controlMolinari, Franco A.Blanco, Anibal ManuelVigna, Mario RaulChantre Balacca, Guillermo RubenMalezasEscardaModelos de SimulaciónCultivosCompetición de Malas HierbasWeedsWeed ControlSimulation ModelsCropsWeed CompetitionControl de MalezasA 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 BordenaveFil: Molinari, Franco A. Universidad Nacional del Sur. Departamento de Agronomía; Argentina. Provincia de Buenos Aires. Comisión de Investigaciones Científicas; ArgentinaFil: 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; ArgentinaFil: Vigna, Mario Raúl. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave; ArgentinaFil: 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; ArgentinaElsevier2020-07-14T14:14:55Z2020-07-14T14:14:55Z2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/7548https://www.sciencedirect.com/science/article/pii/S01681699193260310168-1699https://doi.org/10.1016/j.compag.2020.105597Computers and Electronics in Agriculture 175 : 105597 (August 2020)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-04T09:48:31Zoai:localhost:20.500.12123/7548instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:48:32.666INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv 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
spellingShingle Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control
Molinari, Franco A.
Malezas
Escarda
Modelos de Simulación
Cultivos
Competición de Malas Hierbas
Weeds
Weed Control
Simulation Models
Crops
Weed Competition
Control de Malezas
title_short 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_sort Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control
dc.creator.none.fl_str_mv Molinari, Franco A.
Blanco, Anibal Manuel
Vigna, Mario Raul
Chantre Balacca, Guillermo Ruben
author Molinari, Franco A.
author_facet Molinari, Franco A.
Blanco, Anibal Manuel
Vigna, Mario Raul
Chantre Balacca, Guillermo Ruben
author_role author
author2 Blanco, Anibal Manuel
Vigna, Mario Raul
Chantre Balacca, Guillermo Ruben
author2_role author
author
author
dc.subject.none.fl_str_mv Malezas
Escarda
Modelos de Simulación
Cultivos
Competición de Malas Hierbas
Weeds
Weed Control
Simulation Models
Crops
Weed Competition
Control de Malezas
topic Malezas
Escarda
Modelos de Simulación
Cultivos
Competición de Malas Hierbas
Weeds
Weed Control
Simulation Models
Crops
Weed Competition
Control de Malezas
dc.description.none.fl_txt_mv 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
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.
publishDate 2020
dc.date.none.fl_str_mv 2020-07-14T14:14:55Z
2020-07-14T14:14:55Z
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 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
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
identifier_str_mv 0168-1699
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Computers and Electronics in Agriculture 175 : 105597 (August 2020)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.623145

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