Effect of barley sowing density on the integrated weed management of lolium rigidum (Annual ryegrass) in mediterranean dryland: A modeling approach

Autores
D'amico, Edith Maria Belen; Chantre Balacca, Guillermo Ruben; Calandrini, Guillermo Luis; González Andújar, José Luis
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Population models are particularly helpful for understanding long-term changes in the weed dynamics associated with integrated weed management (IWM) strategies. IWM practices for controlling L. rigidum are of high importance, mainly due to its widespread resistance that precludes chemical control as a single management method. The objective of this contribution is to simulate different IWM scenarios with special emphasis on the impact of different levels of barley sowing densities on L. rigidum control. To this effect, a weed-crop population model for both L. rigidum and barley life cycles was developed. Our results point out: (i) the necessity of achieving high control efficiencies (>99%), (ii) that the increase of twice the standard sowing density of barley resulted in a reduction of 23.7% of the weed density, (iii) non-herbicide-based individual methods, such as delayed sowing and weed seed removal at harvest, proved to be inefficient for reducing drastically weed population, (iv) the implementation of at least three control tactics (seed removal, delay sowing and herbicides) is required for weed infestation eradication independently of the sowing rate, and (v) the effect of an increase in the sowing density is diluted as a more demanding weed control is reached. Future research should aim to disentangle the effect of different weed resistance levels on L. rigidum population dynamics and the required efficiencies for more sustainable IWM programs.
Fil: D'amico, Edith Maria Belen. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; 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 Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Fil: Calandrini, Guillermo Luis. Universidad Nacional del Sur. Departamento de Matemática; Argentina
Fil: González Andújar, José Luis. Consejo Superior de Investigaciones Científicas; España
Materia
CROP–WEED COMPETITION
INTEGRATED WEED MANAGEMENT
WEED POPULATION DYNAMICS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/149373
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Effect of barley sowing density on the integrated weed management of lolium rigidum (Annual ryegrass) in mediterranean dryland: A modeling approachD'amico, Edith Maria BelenChantre Balacca, Guillermo RubenCalandrini, Guillermo LuisGonzález Andújar, José LuisCROP–WEED COMPETITIONINTEGRATED WEED MANAGEMENTWEED POPULATION DYNAMICShttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4https://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Population models are particularly helpful for understanding long-term changes in the weed dynamics associated with integrated weed management (IWM) strategies. IWM practices for controlling L. rigidum are of high importance, mainly due to its widespread resistance that precludes chemical control as a single management method. The objective of this contribution is to simulate different IWM scenarios with special emphasis on the impact of different levels of barley sowing densities on L. rigidum control. To this effect, a weed-crop population model for both L. rigidum and barley life cycles was developed. Our results point out: (i) the necessity of achieving high control efficiencies (>99%), (ii) that the increase of twice the standard sowing density of barley resulted in a reduction of 23.7% of the weed density, (iii) non-herbicide-based individual methods, such as delayed sowing and weed seed removal at harvest, proved to be inefficient for reducing drastically weed population, (iv) the implementation of at least three control tactics (seed removal, delay sowing and herbicides) is required for weed infestation eradication independently of the sowing rate, and (v) the effect of an increase in the sowing density is diluted as a more demanding weed control is reached. Future research should aim to disentangle the effect of different weed resistance levels on L. rigidum population dynamics and the required efficiencies for more sustainable IWM programs.Fil: D'amico, Edith Maria Belen. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; 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 Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; ArgentinaFil: Calandrini, Guillermo Luis. Universidad Nacional del Sur. Departamento de Matemática; ArgentinaFil: González Andújar, José Luis. Consejo Superior de Investigaciones Científicas; EspañaMDPI AG2021-08-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/149373D'amico, Edith Maria Belen; Chantre Balacca, Guillermo Ruben; Calandrini, Guillermo Luis; González Andújar, José Luis; Effect of barley sowing density on the integrated weed management of lolium rigidum (Annual ryegrass) in mediterranean dryland: A modeling approach; MDPI AG; Agronomy; 11; 8; 5-8-2021; 1-15; 15652073-4395CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2073-4395/11/8/1565info:eu-repo/semantics/altIdentifier/doi/10.3390/agronomy11081565info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:04:08Zoai:ri.conicet.gov.ar:11336/149373instacron: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:34982025-09-29 10:04:08.763CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Effect of barley sowing density on the integrated weed management of lolium rigidum (Annual ryegrass) in mediterranean dryland: A modeling approach
title Effect of barley sowing density on the integrated weed management of lolium rigidum (Annual ryegrass) in mediterranean dryland: A modeling approach
spellingShingle Effect of barley sowing density on the integrated weed management of lolium rigidum (Annual ryegrass) in mediterranean dryland: A modeling approach
D'amico, Edith Maria Belen
CROP–WEED COMPETITION
INTEGRATED WEED MANAGEMENT
WEED POPULATION DYNAMICS
title_short Effect of barley sowing density on the integrated weed management of lolium rigidum (Annual ryegrass) in mediterranean dryland: A modeling approach
title_full Effect of barley sowing density on the integrated weed management of lolium rigidum (Annual ryegrass) in mediterranean dryland: A modeling approach
title_fullStr Effect of barley sowing density on the integrated weed management of lolium rigidum (Annual ryegrass) in mediterranean dryland: A modeling approach
title_full_unstemmed Effect of barley sowing density on the integrated weed management of lolium rigidum (Annual ryegrass) in mediterranean dryland: A modeling approach
title_sort Effect of barley sowing density on the integrated weed management of lolium rigidum (Annual ryegrass) in mediterranean dryland: A modeling approach
dc.creator.none.fl_str_mv D'amico, Edith Maria Belen
Chantre Balacca, Guillermo Ruben
Calandrini, Guillermo Luis
González Andújar, José Luis
author D'amico, Edith Maria Belen
author_facet D'amico, Edith Maria Belen
Chantre Balacca, Guillermo Ruben
Calandrini, Guillermo Luis
González Andújar, José Luis
author_role author
author2 Chantre Balacca, Guillermo Ruben
Calandrini, Guillermo Luis
González Andújar, José Luis
author2_role author
author
author
dc.subject.none.fl_str_mv CROP–WEED COMPETITION
INTEGRATED WEED MANAGEMENT
WEED POPULATION DYNAMICS
topic CROP–WEED COMPETITION
INTEGRATED WEED MANAGEMENT
WEED POPULATION DYNAMICS
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Population models are particularly helpful for understanding long-term changes in the weed dynamics associated with integrated weed management (IWM) strategies. IWM practices for controlling L. rigidum are of high importance, mainly due to its widespread resistance that precludes chemical control as a single management method. The objective of this contribution is to simulate different IWM scenarios with special emphasis on the impact of different levels of barley sowing densities on L. rigidum control. To this effect, a weed-crop population model for both L. rigidum and barley life cycles was developed. Our results point out: (i) the necessity of achieving high control efficiencies (>99%), (ii) that the increase of twice the standard sowing density of barley resulted in a reduction of 23.7% of the weed density, (iii) non-herbicide-based individual methods, such as delayed sowing and weed seed removal at harvest, proved to be inefficient for reducing drastically weed population, (iv) the implementation of at least three control tactics (seed removal, delay sowing and herbicides) is required for weed infestation eradication independently of the sowing rate, and (v) the effect of an increase in the sowing density is diluted as a more demanding weed control is reached. Future research should aim to disentangle the effect of different weed resistance levels on L. rigidum population dynamics and the required efficiencies for more sustainable IWM programs.
Fil: D'amico, Edith Maria Belen. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; 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 Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Fil: Calandrini, Guillermo Luis. Universidad Nacional del Sur. Departamento de Matemática; Argentina
Fil: González Andújar, José Luis. Consejo Superior de Investigaciones Científicas; España
description Population models are particularly helpful for understanding long-term changes in the weed dynamics associated with integrated weed management (IWM) strategies. IWM practices for controlling L. rigidum are of high importance, mainly due to its widespread resistance that precludes chemical control as a single management method. The objective of this contribution is to simulate different IWM scenarios with special emphasis on the impact of different levels of barley sowing densities on L. rigidum control. To this effect, a weed-crop population model for both L. rigidum and barley life cycles was developed. Our results point out: (i) the necessity of achieving high control efficiencies (>99%), (ii) that the increase of twice the standard sowing density of barley resulted in a reduction of 23.7% of the weed density, (iii) non-herbicide-based individual methods, such as delayed sowing and weed seed removal at harvest, proved to be inefficient for reducing drastically weed population, (iv) the implementation of at least three control tactics (seed removal, delay sowing and herbicides) is required for weed infestation eradication independently of the sowing rate, and (v) the effect of an increase in the sowing density is diluted as a more demanding weed control is reached. Future research should aim to disentangle the effect of different weed resistance levels on L. rigidum population dynamics and the required efficiencies for more sustainable IWM programs.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-05
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/11336/149373
D'amico, Edith Maria Belen; Chantre Balacca, Guillermo Ruben; Calandrini, Guillermo Luis; González Andújar, José Luis; Effect of barley sowing density on the integrated weed management of lolium rigidum (Annual ryegrass) in mediterranean dryland: A modeling approach; MDPI AG; Agronomy; 11; 8; 5-8-2021; 1-15; 1565
2073-4395
CONICET Digital
CONICET
url http://hdl.handle.net/11336/149373
identifier_str_mv D'amico, Edith Maria Belen; Chantre Balacca, Guillermo Ruben; Calandrini, Guillermo Luis; González Andújar, José Luis; Effect of barley sowing density on the integrated weed management of lolium rigidum (Annual ryegrass) in mediterranean dryland: A modeling approach; MDPI AG; Agronomy; 11; 8; 5-8-2021; 1-15; 1565
2073-4395
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2073-4395/11/8/1565
info:eu-repo/semantics/altIdentifier/doi/10.3390/agronomy11081565
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
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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score 13.069144

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