Modeling the spatial and temporal location of refugia to manage resistance in Bt transgenic crops

Cerda, Hugo; Wright, Denis J.

doi:10.1016/j.agee.2003.08.004

Cited by 51 publications

(34 citation statements)

References 40 publications

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“…The simple model and its approximation clearly separate the situations in which the insect population does and does not approach extinction. The resulting insight explains the results of Cerda and Wright [17], and that their results could misguide management policies, in light of the unlikely possibility of Bt crop use driving species extinct (although there is currently a program to eradicate pink bollworm from the US Southwest that involves Bt crops).…”

Section: Box 1 Model Of Resistance Evolutionmentioning

confidence: 91%

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Novel pests and technologies: risk assessment in agroecosystems using simple models in the face of uncertainties

Ives

Schellhorn

2011

Current Opinion in Environmental Sustainability

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Section: Box 1 Model Of Resistance Evolutionmentioning

confidence: 91%

“…As an example, Cerda and Wright [17] used a simulation model in which fields are broken up into 100 squares among which the movement of insects is simulated. In this model, simulated insecticides in refuges greatly sped resistance evolution.…”

Section: Box 1 Model Of Resistance Evolutionmentioning

confidence: 99%

Novel pests and technologies: risk assessment in agroecosystems using simple models in the face of uncertainties

Ives

Schellhorn

2011

Current Opinion in Environmental Sustainability

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“…Different mathematical models have been proposed to describe the evolution of the frequency of the different genotypes and/or phenotypes (Cerda and Wright 2004;Alstad and Andow 1995;Caprio 2001) or to reflect the environmental consequences of the propagation of pest resistance, using genetically structured population models or not (Hillier and Birch 2002a, b;Tyutyunov et al 2008;Medvinsky et al 2004Medvinsky et al , 2007. All these studies highlight some key factors in the evolution of resistance: net population growth rate, high expressed toxin level by toxic plants and the presence of spatial and/or temporal refuges.…”

mentioning

confidence: 98%

Role of Spatial and Temporal Refuges in the Evolution of Pest Resistance to Toxic Crops

Lemesle

Mailleret²,

Vaissayre

2010

Acta Biotheor

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Toxic plants have been used for years in agriculture to control major crop pests. However, the continuous exposure of targeted pests to toxins dramatically increases the rate of resistance evolution (Gassman et al. in Annu Rev Entomol 54:147-163, 2009a; Tabashnik et al. Nat Biotechnol 26:199-202, 2008). To prevent or delay resistance, non toxic host plants can be used as refuges. Our study considers spatial and temporal refuges that are respectively implemented concurrently or alternatively a toxic crop. A conceptual model based on impulsive differential equations is proposed to describe the dynamics of the susceptible and resistant pest populations over time. The mathematical study enlightens threshold values of the proportion of the spatial refuge and key parameters that should help to understand evolution of pest resistance to toxic crop.

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“…Each demands an understanding of the 'dynamical landscape' in order to match the scale of control with the scale of the epidemic. This is most well advanced for a pest problem involving the deployment of Bt-resistance for insect pests on maize and cotton in the US and elsewhere, where there are mandatory requirements for refugia (Rausher 2001;Cerda & Wright 2004). By permitting multiplication and persistence of the sensitive form of the pest population on susceptible crops within refugia, the build-up of mutant pests that can feed and reproduce on the Bt-resistant crops is delayed.…”

Section: Optimization Of Disease Control Using An Epidemiological Framentioning

confidence: 99%

Sustainable agriculture and plant diseases: an epidemiological perspective

Gilligan

2007

Phil. Trans. R. Soc. B

133

124

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The potential for modern biology to identify new sources for genetical, chemical and biological control of plant disease is remarkably high. Successful implementation of these methods within globally and locally changing agricultural environments demands new approaches to durable control. This, in turn, requires fusion of population genetics and epidemiology at a range of scales from the field to the landscape and even to continental deployment of control measures. It also requires an understanding of economic and social constraints that influence the deployment of control. Here I propose an epidemiological framework to model invasion, persistence and variability of epidemics that encompasses a wide range of scales and topologies through which disease spreads. By considering how to map control methods onto epidemiological parameters and variables, some new approaches towards optimizing the efficiency of control at the landscape scale are introduced. Epidemiological strategies to minimize the risks of failure of chemical and genetical control are presented and some consequences of heterogeneous selection pressures in time and space on the persistence and evolutionary changes of the pathogen population are discussed. Finally, some approaches towards embedding epidemiological models for the deployment of control in an economically plausible framework are presented.

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Modeling the spatial and temporal location of refugia to manage resistance in Bt transgenic crops

Cited by 51 publications

References 40 publications

Novel pests and technologies: risk assessment in agroecosystems using simple models in the face of uncertainties

Novel pests and technologies: risk assessment in agroecosystems using simple models in the face of uncertainties

Role of Spatial and Temporal Refuges in the Evolution of Pest Resistance to Toxic Crops

Sustainable agriculture and plant diseases: an epidemiological perspective

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