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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/86625
Acceder
id CONICETDig_ee91e5afd9bfc43fe2a8d3235a53d820
oai_identifier_str oai:ri.conicet.gov.ar:11336/86625
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 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 Técnicas2025-10-15T14:21:04Zoai: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:34982025-10-15 14:21:04.449CONICET 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
_version_ 1846082594794373120
score 13.22299

Publicaciones similares