Semi physical growth model of Lobesia botrana under laboratory conditions for Argentina’s Cuyo region

Autores
Aguirre Zapata, Estefania; Morales, Humberto; Dagatti, Carla Vanina; Di Sciascio, Fernando; Amicarelli, Adriana N.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Lobesia botrana is a quarantine pest from Argentina and other countries in the world. It causes damage to the vine in its different growth stages leading to losses in wine production. To develop pest control strategies based on knowledge of the moth, different mathematical models can be found in specific literature to predict its biological cycle, establish its relationship with environmental variables, describe the voltinism of the pest, among others. Based on the proposed models, it is possible to establish a minimum temperature threshold considering the development of the moth and the number of degrees’ days (DD) that must be accumulated for there to be a change of stage. Many of these models are empirical. They are limited because they do not consider some variables such as growth and mortality rates, also they lack a conceptual basis. This makes that professionals or institutions interested in the development of decision support systems (DSS) may not use them. This also prevents them from being easily extrapolated to other regions of the world. In this work, a semi-physical model based on first principles (FPBSM) is proposed to describe how the different growth stages of the vine moth change quantitatively throughout its normal development time under controlled and specific laboratory conditions for the Cuyo region in Argentina. The proposed model, based on a white box structure, considers important parameters in the development of the moth, such as growth and mortality rates. Opposite to the models reported in the literature, the proposed model is conceptually more simple, easy to calculate or adjust, and Its parameters are interpretable in the model’s application context. The previous characteristics facilitate the proposal model’s use by sectors interested in the development of DSS systems. The reported mathematical model has been validated with experimental data for three different temperature conditions.
EEA Mendoza
Fil: Aguirre Zapata, Estefania. Universidad Nacional de San Juan. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Automática; Argentina
Fil: Aguirre Zapata, Estefania. Universidad Nacional de Colombia. Facultad de Minas. Escuela de Procesos y Energía; Colombia
Fil: Morales, Humberto. Universidad Nacional de San Juan. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Automática; Argentina
Fil: Dagatti, Carla Vanina. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina
Fil: di Sciascio, Fernando. Universidad Nacional de San Juan. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Automática; Argentina
Fil: Amicarelli, Adriana N. Universidad Nacional de San Juan. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Automática; Argentina
Fuente
Ecological Modelling 464 : 109803 (February 2022)
Materia
Vid
Lobesia
Ciclo Vital
Modelos Matemáticos
Argentina
Grapevines
Life Cycle
Mathematical Models
Región Cuyana
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/10957
Acceder
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oai_identifier_str oai:localhost:20.500.12123/10957
network_acronym_str INTADig
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spelling Semi physical growth model of Lobesia botrana under laboratory conditions for Argentina’s Cuyo regionAguirre Zapata, EstefaniaMorales, HumbertoDagatti, Carla VaninaDi Sciascio, FernandoAmicarelli, Adriana N.VidLobesiaCiclo VitalModelos MatemáticosArgentinaGrapevinesLife CycleMathematical ModelsRegión CuyanaLobesia botrana is a quarantine pest from Argentina and other countries in the world. It causes damage to the vine in its different growth stages leading to losses in wine production. To develop pest control strategies based on knowledge of the moth, different mathematical models can be found in specific literature to predict its biological cycle, establish its relationship with environmental variables, describe the voltinism of the pest, among others. Based on the proposed models, it is possible to establish a minimum temperature threshold considering the development of the moth and the number of degrees’ days (DD) that must be accumulated for there to be a change of stage. Many of these models are empirical. They are limited because they do not consider some variables such as growth and mortality rates, also they lack a conceptual basis. This makes that professionals or institutions interested in the development of decision support systems (DSS) may not use them. This also prevents them from being easily extrapolated to other regions of the world. In this work, a semi-physical model based on first principles (FPBSM) is proposed to describe how the different growth stages of the vine moth change quantitatively throughout its normal development time under controlled and specific laboratory conditions for the Cuyo region in Argentina. The proposed model, based on a white box structure, considers important parameters in the development of the moth, such as growth and mortality rates. Opposite to the models reported in the literature, the proposed model is conceptually more simple, easy to calculate or adjust, and Its parameters are interpretable in the model’s application context. The previous characteristics facilitate the proposal model’s use by sectors interested in the development of DSS systems. The reported mathematical model has been validated with experimental data for three different temperature conditions.EEA MendozaFil: Aguirre Zapata, Estefania. Universidad Nacional de San Juan. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Automática; ArgentinaFil: Aguirre Zapata, Estefania. Universidad Nacional de Colombia. Facultad de Minas. Escuela de Procesos y Energía; ColombiaFil: Morales, Humberto. Universidad Nacional de San Juan. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Automática; ArgentinaFil: Dagatti, Carla Vanina. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; ArgentinaFil: di Sciascio, Fernando. Universidad Nacional de San Juan. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Automática; ArgentinaFil: Amicarelli, Adriana N. Universidad Nacional de San Juan. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Automática; ArgentinaElsevier2021-12-21T11:29:39Z2021-12-21T11:29:39Z2021-12-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/10957https://www.sciencedirect.com/science/article/abs/pii/S03043800210034830304-3800https://doi.org/10.1016/j.ecolmodel.2021.109803Ecological Modelling 464 : 109803 (February 2022)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-04T09:49:13Zoai:localhost:20.500.12123/10957instacron: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 09:49:14.195INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Semi physical growth model of Lobesia botrana under laboratory conditions for Argentina’s Cuyo region
title Semi physical growth model of Lobesia botrana under laboratory conditions for Argentina’s Cuyo region
spellingShingle Semi physical growth model of Lobesia botrana under laboratory conditions for Argentina’s Cuyo region
Aguirre Zapata, Estefania
Vid
Lobesia
Ciclo Vital
Modelos Matemáticos
Argentina
Grapevines
Life Cycle
Mathematical Models
Región Cuyana
title_short Semi physical growth model of Lobesia botrana under laboratory conditions for Argentina’s Cuyo region
title_full Semi physical growth model of Lobesia botrana under laboratory conditions for Argentina’s Cuyo region
title_fullStr Semi physical growth model of Lobesia botrana under laboratory conditions for Argentina’s Cuyo region
title_full_unstemmed Semi physical growth model of Lobesia botrana under laboratory conditions for Argentina’s Cuyo region
title_sort Semi physical growth model of Lobesia botrana under laboratory conditions for Argentina’s Cuyo region
dc.creator.none.fl_str_mv Aguirre Zapata, Estefania
Morales, Humberto
Dagatti, Carla Vanina
Di Sciascio, Fernando
Amicarelli, Adriana N.
author Aguirre Zapata, Estefania
author_facet Aguirre Zapata, Estefania
Morales, Humberto
Dagatti, Carla Vanina
Di Sciascio, Fernando
Amicarelli, Adriana N.
author_role author
author2 Morales, Humberto
Dagatti, Carla Vanina
Di Sciascio, Fernando
Amicarelli, Adriana N.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Vid
Lobesia
Ciclo Vital
Modelos Matemáticos
Argentina
Grapevines
Life Cycle
Mathematical Models
Región Cuyana
topic Vid
Lobesia
Ciclo Vital
Modelos Matemáticos
Argentina
Grapevines
Life Cycle
Mathematical Models
Región Cuyana
dc.description.none.fl_txt_mv Lobesia botrana is a quarantine pest from Argentina and other countries in the world. It causes damage to the vine in its different growth stages leading to losses in wine production. To develop pest control strategies based on knowledge of the moth, different mathematical models can be found in specific literature to predict its biological cycle, establish its relationship with environmental variables, describe the voltinism of the pest, among others. Based on the proposed models, it is possible to establish a minimum temperature threshold considering the development of the moth and the number of degrees’ days (DD) that must be accumulated for there to be a change of stage. Many of these models are empirical. They are limited because they do not consider some variables such as growth and mortality rates, also they lack a conceptual basis. This makes that professionals or institutions interested in the development of decision support systems (DSS) may not use them. This also prevents them from being easily extrapolated to other regions of the world. In this work, a semi-physical model based on first principles (FPBSM) is proposed to describe how the different growth stages of the vine moth change quantitatively throughout its normal development time under controlled and specific laboratory conditions for the Cuyo region in Argentina. The proposed model, based on a white box structure, considers important parameters in the development of the moth, such as growth and mortality rates. Opposite to the models reported in the literature, the proposed model is conceptually more simple, easy to calculate or adjust, and Its parameters are interpretable in the model’s application context. The previous characteristics facilitate the proposal model’s use by sectors interested in the development of DSS systems. The reported mathematical model has been validated with experimental data for three different temperature conditions.
EEA Mendoza
Fil: Aguirre Zapata, Estefania. Universidad Nacional de San Juan. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Automática; Argentina
Fil: Aguirre Zapata, Estefania. Universidad Nacional de Colombia. Facultad de Minas. Escuela de Procesos y Energía; Colombia
Fil: Morales, Humberto. Universidad Nacional de San Juan. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Automática; Argentina
Fil: Dagatti, Carla Vanina. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina
Fil: di Sciascio, Fernando. Universidad Nacional de San Juan. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Automática; Argentina
Fil: Amicarelli, Adriana N. Universidad Nacional de San Juan. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Automática; Argentina
description Lobesia botrana is a quarantine pest from Argentina and other countries in the world. It causes damage to the vine in its different growth stages leading to losses in wine production. To develop pest control strategies based on knowledge of the moth, different mathematical models can be found in specific literature to predict its biological cycle, establish its relationship with environmental variables, describe the voltinism of the pest, among others. Based on the proposed models, it is possible to establish a minimum temperature threshold considering the development of the moth and the number of degrees’ days (DD) that must be accumulated for there to be a change of stage. Many of these models are empirical. They are limited because they do not consider some variables such as growth and mortality rates, also they lack a conceptual basis. This makes that professionals or institutions interested in the development of decision support systems (DSS) may not use them. This also prevents them from being easily extrapolated to other regions of the world. In this work, a semi-physical model based on first principles (FPBSM) is proposed to describe how the different growth stages of the vine moth change quantitatively throughout its normal development time under controlled and specific laboratory conditions for the Cuyo region in Argentina. The proposed model, based on a white box structure, considers important parameters in the development of the moth, such as growth and mortality rates. Opposite to the models reported in the literature, the proposed model is conceptually more simple, easy to calculate or adjust, and Its parameters are interpretable in the model’s application context. The previous characteristics facilitate the proposal model’s use by sectors interested in the development of DSS systems. The reported mathematical model has been validated with experimental data for three different temperature conditions.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-21T11:29:39Z
2021-12-21T11:29:39Z
2021-12-21
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/20.500.12123/10957
https://www.sciencedirect.com/science/article/abs/pii/S0304380021003483
0304-3800
https://doi.org/10.1016/j.ecolmodel.2021.109803
url http://hdl.handle.net/20.500.12123/10957
https://www.sciencedirect.com/science/article/abs/pii/S0304380021003483
https://doi.org/10.1016/j.ecolmodel.2021.109803
identifier_str_mv 0304-3800
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 Ecological Modelling 464 : 109803 (February 2022)
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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