Operational planning of herbicide-based weed management

Autores
Lodovichi, Mariela Victoria; Blanco, Anibal Manuel; Chantre Balacca, Guillermo Ruben; Bandoni, Jose Alberto; Sabbatini, Mario Ricardo; Vigna, Mario; López, Ricardo; Gigón, Ramón
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Weeds cause crop yield loss due to competition, interfere with agricultural activities and reduce grain quality due to seed contamination. Among the numerous methods for weed control, the use of herbicides is the most common practice. Nowadays, the optimization of herbicide application is pursued to reduce the environmental impact, delay the appearance of herbicide-resistant weed populations, and improve the cost/benefit ratio of the agronomic business. This work proposes an operational planning model, aimed at calculating the optimal application times of herbicides in no-tillage systems within a growing season in order to maximize the economic benefit of the activity while rationalizing the intensity of the applications with respect to expert-knowledge-based recommendations. The model can decide on herbicide applications on a daily basis, consistent with timing of agricultural activities, and provides an explicit quantification of the environmental impact as an external cost. The proposed approach was tested on a winter wheat (Triticum aestivum)-wild oat (Avena fatua) system, typical of the semiarid region of Argentina. In all the studied scenarios at least two pre-sowing applications of non-selective herbicides were required to effectively control early emerging weed seedlings. Additional pre-sowing and post-emergence applications were also advised in cases when competitive pressure was significant.
Fil: Lodovichi, Mariela Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida(i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Blanco, Anibal Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Chantre Balacca, Guillermo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida(i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Sabbatini, Mario Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida(i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Vigna, Mario. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Buenos Aires. Estacion Experimental Agropecuaria Bordenave; Argentina
Fil: López, Ricardo. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Buenos Aires. Estacion Experimental Agropecuaria Bordenave; Argentina
Fil: Gigón, Ramón. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Buenos Aires. Estacion Experimental Agropecuaria Bordenave; Argentina
Materia
Weed Management
Planning Model
Herbicide Applications
Environmental Impact
Winter Wheat
Wild Oat
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/12712
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Operational planning of herbicide-based weed managementLodovichi, Mariela VictoriaBlanco, Anibal ManuelChantre Balacca, Guillermo RubenBandoni, Jose AlbertoSabbatini, Mario RicardoVigna, MarioLópez, RicardoGigón, RamónWeed ManagementPlanning ModelHerbicide ApplicationsEnvironmental ImpactWinter WheatWild Oathttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Weeds cause crop yield loss due to competition, interfere with agricultural activities and reduce grain quality due to seed contamination. Among the numerous methods for weed control, the use of herbicides is the most common practice. Nowadays, the optimization of herbicide application is pursued to reduce the environmental impact, delay the appearance of herbicide-resistant weed populations, and improve the cost/benefit ratio of the agronomic business. This work proposes an operational planning model, aimed at calculating the optimal application times of herbicides in no-tillage systems within a growing season in order to maximize the economic benefit of the activity while rationalizing the intensity of the applications with respect to expert-knowledge-based recommendations. The model can decide on herbicide applications on a daily basis, consistent with timing of agricultural activities, and provides an explicit quantification of the environmental impact as an external cost. The proposed approach was tested on a winter wheat (Triticum aestivum)-wild oat (Avena fatua) system, typical of the semiarid region of Argentina. In all the studied scenarios at least two pre-sowing applications of non-selective herbicides were required to effectively control early emerging weed seedlings. Additional pre-sowing and post-emergence applications were also advised in cases when competitive pressure was significant.Fil: Lodovichi, Mariela Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida(i); Argentina. Universidad Nacional del Sur; ArgentinaFil: Blanco, Anibal Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; ArgentinaFil: Chantre Balacca, Guillermo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida(i); Argentina. Universidad Nacional del Sur; ArgentinaFil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; ArgentinaFil: Sabbatini, Mario Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida(i); Argentina. Universidad Nacional del Sur; ArgentinaFil: Vigna, Mario. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Buenos Aires. Estacion Experimental Agropecuaria Bordenave; ArgentinaFil: López, Ricardo. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Buenos Aires. Estacion Experimental Agropecuaria Bordenave; ArgentinaFil: Gigón, Ramón. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Buenos Aires. Estacion Experimental Agropecuaria Bordenave; ArgentinaElsevier2013-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/12712Lodovichi, Mariela Victoria; Blanco, Anibal Manuel; Chantre Balacca, Guillermo Ruben; Bandoni, Jose Alberto; Sabbatini, Mario Ricardo; et al.; Operational planning of herbicide-based weed management; Elsevier; Agricultural Systems; 121; 8-2013; 117-1290308-521Xenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.agsy.2013.07.006info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0308521X13000929info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:29:03Zoai:ri.conicet.gov.ar:11336/12712instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:29:03.258CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Operational planning of herbicide-based weed management
title Operational planning of herbicide-based weed management
spellingShingle Operational planning of herbicide-based weed management
Lodovichi, Mariela Victoria
Weed Management
Planning Model
Herbicide Applications
Environmental Impact
Winter Wheat
Wild Oat
title_short Operational planning of herbicide-based weed management
title_full Operational planning of herbicide-based weed management
title_fullStr Operational planning of herbicide-based weed management
title_full_unstemmed Operational planning of herbicide-based weed management
title_sort Operational planning of herbicide-based weed management
dc.creator.none.fl_str_mv Lodovichi, Mariela Victoria
Blanco, Anibal Manuel
Chantre Balacca, Guillermo Ruben
Bandoni, Jose Alberto
Sabbatini, Mario Ricardo
Vigna, Mario
López, Ricardo
Gigón, Ramón
author Lodovichi, Mariela Victoria
author_facet Lodovichi, Mariela Victoria
Blanco, Anibal Manuel
Chantre Balacca, Guillermo Ruben
Bandoni, Jose Alberto
Sabbatini, Mario Ricardo
Vigna, Mario
López, Ricardo
Gigón, Ramón
author_role author
author2 Blanco, Anibal Manuel
Chantre Balacca, Guillermo Ruben
Bandoni, Jose Alberto
Sabbatini, Mario Ricardo
Vigna, Mario
López, Ricardo
Gigón, Ramón
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Weed Management
Planning Model
Herbicide Applications
Environmental Impact
Winter Wheat
Wild Oat
topic Weed Management
Planning Model
Herbicide Applications
Environmental Impact
Winter Wheat
Wild Oat
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Weeds cause crop yield loss due to competition, interfere with agricultural activities and reduce grain quality due to seed contamination. Among the numerous methods for weed control, the use of herbicides is the most common practice. Nowadays, the optimization of herbicide application is pursued to reduce the environmental impact, delay the appearance of herbicide-resistant weed populations, and improve the cost/benefit ratio of the agronomic business. This work proposes an operational planning model, aimed at calculating the optimal application times of herbicides in no-tillage systems within a growing season in order to maximize the economic benefit of the activity while rationalizing the intensity of the applications with respect to expert-knowledge-based recommendations. The model can decide on herbicide applications on a daily basis, consistent with timing of agricultural activities, and provides an explicit quantification of the environmental impact as an external cost. The proposed approach was tested on a winter wheat (Triticum aestivum)-wild oat (Avena fatua) system, typical of the semiarid region of Argentina. In all the studied scenarios at least two pre-sowing applications of non-selective herbicides were required to effectively control early emerging weed seedlings. Additional pre-sowing and post-emergence applications were also advised in cases when competitive pressure was significant.
Fil: Lodovichi, Mariela Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida(i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Blanco, Anibal Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Chantre Balacca, Guillermo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida(i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Sabbatini, Mario Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida(i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Vigna, Mario. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Buenos Aires. Estacion Experimental Agropecuaria Bordenave; Argentina
Fil: López, Ricardo. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Buenos Aires. Estacion Experimental Agropecuaria Bordenave; Argentina
Fil: Gigón, Ramón. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Buenos Aires. Estacion Experimental Agropecuaria Bordenave; Argentina
description Weeds cause crop yield loss due to competition, interfere with agricultural activities and reduce grain quality due to seed contamination. Among the numerous methods for weed control, the use of herbicides is the most common practice. Nowadays, the optimization of herbicide application is pursued to reduce the environmental impact, delay the appearance of herbicide-resistant weed populations, and improve the cost/benefit ratio of the agronomic business. This work proposes an operational planning model, aimed at calculating the optimal application times of herbicides in no-tillage systems within a growing season in order to maximize the economic benefit of the activity while rationalizing the intensity of the applications with respect to expert-knowledge-based recommendations. The model can decide on herbicide applications on a daily basis, consistent with timing of agricultural activities, and provides an explicit quantification of the environmental impact as an external cost. The proposed approach was tested on a winter wheat (Triticum aestivum)-wild oat (Avena fatua) system, typical of the semiarid region of Argentina. In all the studied scenarios at least two pre-sowing applications of non-selective herbicides were required to effectively control early emerging weed seedlings. Additional pre-sowing and post-emergence applications were also advised in cases when competitive pressure was significant.
publishDate 2013
dc.date.none.fl_str_mv 2013-08
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/11336/12712
Lodovichi, Mariela Victoria; Blanco, Anibal Manuel; Chantre Balacca, Guillermo Ruben; Bandoni, Jose Alberto; Sabbatini, Mario Ricardo; et al.; Operational planning of herbicide-based weed management; Elsevier; Agricultural Systems; 121; 8-2013; 117-129
0308-521X
url http://hdl.handle.net/11336/12712
identifier_str_mv Lodovichi, Mariela Victoria; Blanco, Anibal Manuel; Chantre Balacca, Guillermo Ruben; Bandoni, Jose Alberto; Sabbatini, Mario Ricardo; et al.; Operational planning of herbicide-based weed management; Elsevier; Agricultural Systems; 121; 8-2013; 117-129
0308-521X
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.agsy.2013.07.006
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0308521X13000929
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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