Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic model
- Autores
- D'amico, Edith Maria Belen; Calandrini, Guillermo Luis; Gonzáles-Andujar, José Luis; Chantre Balacca, Guillermo Ruben
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Weed species present high competitive capacity, rapid adaptability and herbicide resistance, hindering their effective control across worldwide cropping regions. Since field-conducted experiments are very time-consuming and usually expensive, mathematical population-based models are valuable tools to test and develop long-term weed management programs. Within this context, the objective of this paper is to formalize analytically the possible seed bank dynamics of the Lolium rigidum, subjected to different control strategies. The first focus is on studying in detail the effects of integrating constant actions, promoting more environmentally and economically sustainable scenarios. From the same perspective, an alternative to applying time-variant programs is introduced. The proposed control guarantees that the weed population is sufficiently small or, alternatively, is kept below a given economic threshold level in a ten-year planning horizon. Furthermore, an optimization criterion is adopted for distributing necessary efficiency into diverse integrated options. Numerical simulations are included to illustrate the analytical findings.
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: Calandrini, Guillermo Luis. 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. Universidad Nacional del Sur. Departamento de Matemática; Argentina
Fil: Gonzáles-Andujar, José Luis. Instituto de Agricultura Sostenible; España
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 - Materia
-
BIFURCATION THEORY
CONTROL
MATHEMATICAL MODEL
STABILITY
WEED MANAGEMENT - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/86625
Ver los metadatos del registro completo
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Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic modelD'amico, Edith Maria BelenCalandrini, Guillermo LuisGonzáles-Andujar, José LuisChantre Balacca, Guillermo RubenBIFURCATION THEORYCONTROLMATHEMATICAL MODELSTABILITYWEED MANAGEMENThttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Weed species present high competitive capacity, rapid adaptability and herbicide resistance, hindering their effective control across worldwide cropping regions. Since field-conducted experiments are very time-consuming and usually expensive, mathematical population-based models are valuable tools to test and develop long-term weed management programs. Within this context, the objective of this paper is to formalize analytically the possible seed bank dynamics of the Lolium rigidum, subjected to different control strategies. The first focus is on studying in detail the effects of integrating constant actions, promoting more environmentally and economically sustainable scenarios. From the same perspective, an alternative to applying time-variant programs is introduced. The proposed control guarantees that the weed population is sufficiently small or, alternatively, is kept below a given economic threshold level in a ten-year planning horizon. Furthermore, an optimization criterion is adopted for distributing necessary efficiency into diverse integrated options. Numerical simulations are included to illustrate the analytical findings.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: Calandrini, Guillermo Luis. 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. Universidad Nacional del Sur. Departamento de Matemática; ArgentinaFil: Gonzáles-Andujar, José Luis. Instituto de Agricultura Sostenible; EspañaFil: 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; ArgentinaWorld Scientific2018-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/86625D'amico, Edith Maria Belen; Calandrini, Guillermo Luis; Gonzáles-Andujar, José Luis; Chantre Balacca, Guillermo Ruben; Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic model; World Scientific; International Journal Of Bifurcation And Chaos; 28; 12; 11-20180218-12741793-6551CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.worldscientific.com/doi/10.1142/S0218127418300410info:eu-repo/semantics/altIdentifier/doi/10.1142/S0218127418300410info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:33:07Zoai:ri.conicet.gov.ar:11336/86625instacron: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 09:33:07.371CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic model |
title |
Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic model |
spellingShingle |
Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic model D'amico, Edith Maria Belen BIFURCATION THEORY CONTROL MATHEMATICAL MODEL STABILITY WEED MANAGEMENT |
title_short |
Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic model |
title_full |
Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic model |
title_fullStr |
Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic model |
title_full_unstemmed |
Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic model |
title_sort |
Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic model |
dc.creator.none.fl_str_mv |
D'amico, Edith Maria Belen Calandrini, Guillermo Luis Gonzáles-Andujar, José Luis Chantre Balacca, Guillermo Ruben |
author |
D'amico, Edith Maria Belen |
author_facet |
D'amico, Edith Maria Belen Calandrini, Guillermo Luis Gonzáles-Andujar, José Luis Chantre Balacca, Guillermo Ruben |
author_role |
author |
author2 |
Calandrini, Guillermo Luis Gonzáles-Andujar, José Luis Chantre Balacca, Guillermo Ruben |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
BIFURCATION THEORY CONTROL MATHEMATICAL MODEL STABILITY WEED MANAGEMENT |
topic |
BIFURCATION THEORY CONTROL MATHEMATICAL MODEL STABILITY WEED MANAGEMENT |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
Weed species present high competitive capacity, rapid adaptability and herbicide resistance, hindering their effective control across worldwide cropping regions. Since field-conducted experiments are very time-consuming and usually expensive, mathematical population-based models are valuable tools to test and develop long-term weed management programs. Within this context, the objective of this paper is to formalize analytically the possible seed bank dynamics of the Lolium rigidum, subjected to different control strategies. The first focus is on studying in detail the effects of integrating constant actions, promoting more environmentally and economically sustainable scenarios. From the same perspective, an alternative to applying time-variant programs is introduced. The proposed control guarantees that the weed population is sufficiently small or, alternatively, is kept below a given economic threshold level in a ten-year planning horizon. Furthermore, an optimization criterion is adopted for distributing necessary efficiency into diverse integrated options. Numerical simulations are included to illustrate the analytical findings. 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: Calandrini, Guillermo Luis. 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. Universidad Nacional del Sur. Departamento de Matemática; Argentina Fil: Gonzáles-Andujar, José Luis. Instituto de Agricultura Sostenible; España 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 |
description |
Weed species present high competitive capacity, rapid adaptability and herbicide resistance, hindering their effective control across worldwide cropping regions. Since field-conducted experiments are very time-consuming and usually expensive, mathematical population-based models are valuable tools to test and develop long-term weed management programs. Within this context, the objective of this paper is to formalize analytically the possible seed bank dynamics of the Lolium rigidum, subjected to different control strategies. The first focus is on studying in detail the effects of integrating constant actions, promoting more environmentally and economically sustainable scenarios. From the same perspective, an alternative to applying time-variant programs is introduced. The proposed control guarantees that the weed population is sufficiently small or, alternatively, is kept below a given economic threshold level in a ten-year planning horizon. Furthermore, an optimization criterion is adopted for distributing necessary efficiency into diverse integrated options. Numerical simulations are included to illustrate the analytical findings. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-11 |
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/11336/86625 D'amico, Edith Maria Belen; Calandrini, Guillermo Luis; Gonzáles-Andujar, José Luis; Chantre Balacca, Guillermo Ruben; Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic model; World Scientific; International Journal Of Bifurcation And Chaos; 28; 12; 11-2018 0218-1274 1793-6551 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/86625 |
identifier_str_mv |
D'amico, Edith Maria Belen; Calandrini, Guillermo Luis; Gonzáles-Andujar, José Luis; Chantre Balacca, Guillermo Ruben; Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic model; World Scientific; International Journal Of Bifurcation And Chaos; 28; 12; 11-2018 0218-1274 1793-6551 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.worldscientific.com/doi/10.1142/S0218127418300410 info:eu-repo/semantics/altIdentifier/doi/10.1142/S0218127418300410 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
World Scientific |
publisher.none.fl_str_mv |
World Scientific |
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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1844613014964142080 |
score |
13.069144 |