Predicting evolution of insect resistance to transgenic crops in within-field refuge configurations, based on larval movement
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.ecocom.2016.07.006 http://hdl.handle.net/11449/173811 |
Resumo: | The selection pressure imposed by the widespread use of transgenic technologies can lead to the evolution of insect resistance, and the availability of refuge areas that allow susceptible homozygous insects to survive is a key factor in delaying the evolution of resistance in agricultural landscapes. Different strategies to exploit refuge areas exist, but several insect-related ecological traits may directly affect the efficiency of refuges in slowing the development of resistance. Insect larval movement is one such trait that may affect the management of resistance, depending on the refuge strategy adopted. We developed a computational model to simulate how larval movement would affect the spatio-temporal dynamics of the evolution of resistance of insect pests to Bt crops, under different refuge configurations. In order to test the model, we used population data for Spodoptera frugiperda, one of the main target pests for control with Bt toxins. Simulations were run for spatial arrangements composed of three refuge configurations (seed mixture, blocks, and strips), with sizes ranging from 20% to 50% for two types of resistance (incomplete and complete) and three rates of larval movement (proportion of larvae moving per time step), equal to 0, 0.1 and 0.5. We demonstrated that with a seed mixture, in most cases the higher the rate of larval movement, the higher the proportion of resistant insects in the population in an area, regardless of the type of resistance tested. Strip configurations showed the opposite trend. In a block configuration, the number of resistant larvae was highest at an intermediate dispersal rate (0.1). We concluded that larval movement is an important variable affecting the evolution of resistance to Bt crops, but its effect depends on the type of resistance and the configuration and size of the refuge. |
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Predicting evolution of insect resistance to transgenic crops in within-field refuge configurations, based on larval movementCellular automataInsect ecologyRefuge areasResistance managementTransgenic cropsThe selection pressure imposed by the widespread use of transgenic technologies can lead to the evolution of insect resistance, and the availability of refuge areas that allow susceptible homozygous insects to survive is a key factor in delaying the evolution of resistance in agricultural landscapes. Different strategies to exploit refuge areas exist, but several insect-related ecological traits may directly affect the efficiency of refuges in slowing the development of resistance. Insect larval movement is one such trait that may affect the management of resistance, depending on the refuge strategy adopted. We developed a computational model to simulate how larval movement would affect the spatio-temporal dynamics of the evolution of resistance of insect pests to Bt crops, under different refuge configurations. In order to test the model, we used population data for Spodoptera frugiperda, one of the main target pests for control with Bt toxins. Simulations were run for spatial arrangements composed of three refuge configurations (seed mixture, blocks, and strips), with sizes ranging from 20% to 50% for two types of resistance (incomplete and complete) and three rates of larval movement (proportion of larvae moving per time step), equal to 0, 0.1 and 0.5. We demonstrated that with a seed mixture, in most cases the higher the rate of larval movement, the higher the proportion of resistant insects in the population in an area, regardless of the type of resistance tested. Strip configurations showed the opposite trend. In a block configuration, the number of resistant larvae was highest at an intermediate dispersal rate (0.1). We concluded that larval movement is an important variable affecting the evolution of resistance to Bt crops, but its effect depends on the type of resistance and the configuration and size of the refuge.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Department of Entomology and Acarology University of São Paulo ESALQ USPBiostatistics Department IBB UNESPBiostatistics Department IBB UNESPUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Garcia, Adriano G.Ferreira, Cláudia P. [UNESP]Cônsoli, Fernando L.Godoy, Wesley A.C.2018-12-11T17:07:51Z2018-12-11T17:07:51Z2016-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article94-103application/pdfhttp://dx.doi.org/10.1016/j.ecocom.2016.07.006Ecological Complexity, v. 28, p. 94-103.1476-945Xhttp://hdl.handle.net/11449/17381110.1016/j.ecocom.2016.07.0062-s2.0-849959027902-s2.0-84995902790.pdf20527496982046170000-0002-9404-6098Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEcological Complexityinfo:eu-repo/semantics/openAccess2023-11-01T06:12:39Zoai:repositorio.unesp.br:11449/173811Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:37:55.962305Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Predicting evolution of insect resistance to transgenic crops in within-field refuge configurations, based on larval movement |
title |
Predicting evolution of insect resistance to transgenic crops in within-field refuge configurations, based on larval movement |
spellingShingle |
Predicting evolution of insect resistance to transgenic crops in within-field refuge configurations, based on larval movement Garcia, Adriano G. Cellular automata Insect ecology Refuge areas Resistance management Transgenic crops |
title_short |
Predicting evolution of insect resistance to transgenic crops in within-field refuge configurations, based on larval movement |
title_full |
Predicting evolution of insect resistance to transgenic crops in within-field refuge configurations, based on larval movement |
title_fullStr |
Predicting evolution of insect resistance to transgenic crops in within-field refuge configurations, based on larval movement |
title_full_unstemmed |
Predicting evolution of insect resistance to transgenic crops in within-field refuge configurations, based on larval movement |
title_sort |
Predicting evolution of insect resistance to transgenic crops in within-field refuge configurations, based on larval movement |
author |
Garcia, Adriano G. |
author_facet |
Garcia, Adriano G. Ferreira, Cláudia P. [UNESP] Cônsoli, Fernando L. Godoy, Wesley A.C. |
author_role |
author |
author2 |
Ferreira, Cláudia P. [UNESP] Cônsoli, Fernando L. Godoy, Wesley A.C. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Garcia, Adriano G. Ferreira, Cláudia P. [UNESP] Cônsoli, Fernando L. Godoy, Wesley A.C. |
dc.subject.por.fl_str_mv |
Cellular automata Insect ecology Refuge areas Resistance management Transgenic crops |
topic |
Cellular automata Insect ecology Refuge areas Resistance management Transgenic crops |
description |
The selection pressure imposed by the widespread use of transgenic technologies can lead to the evolution of insect resistance, and the availability of refuge areas that allow susceptible homozygous insects to survive is a key factor in delaying the evolution of resistance in agricultural landscapes. Different strategies to exploit refuge areas exist, but several insect-related ecological traits may directly affect the efficiency of refuges in slowing the development of resistance. Insect larval movement is one such trait that may affect the management of resistance, depending on the refuge strategy adopted. We developed a computational model to simulate how larval movement would affect the spatio-temporal dynamics of the evolution of resistance of insect pests to Bt crops, under different refuge configurations. In order to test the model, we used population data for Spodoptera frugiperda, one of the main target pests for control with Bt toxins. Simulations were run for spatial arrangements composed of three refuge configurations (seed mixture, blocks, and strips), with sizes ranging from 20% to 50% for two types of resistance (incomplete and complete) and three rates of larval movement (proportion of larvae moving per time step), equal to 0, 0.1 and 0.5. We demonstrated that with a seed mixture, in most cases the higher the rate of larval movement, the higher the proportion of resistant insects in the population in an area, regardless of the type of resistance tested. Strip configurations showed the opposite trend. In a block configuration, the number of resistant larvae was highest at an intermediate dispersal rate (0.1). We concluded that larval movement is an important variable affecting the evolution of resistance to Bt crops, but its effect depends on the type of resistance and the configuration and size of the refuge. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-12-01 2018-12-11T17:07:51Z 2018-12-11T17:07:51Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.ecocom.2016.07.006 Ecological Complexity, v. 28, p. 94-103. 1476-945X http://hdl.handle.net/11449/173811 10.1016/j.ecocom.2016.07.006 2-s2.0-84995902790 2-s2.0-84995902790.pdf 2052749698204617 0000-0002-9404-6098 |
url |
http://dx.doi.org/10.1016/j.ecocom.2016.07.006 http://hdl.handle.net/11449/173811 |
identifier_str_mv |
Ecological Complexity, v. 28, p. 94-103. 1476-945X 10.1016/j.ecocom.2016.07.006 2-s2.0-84995902790 2-s2.0-84995902790.pdf 2052749698204617 0000-0002-9404-6098 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ecological Complexity |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
94-103 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128680887582720 |