1985
DOI: 10.1016/0304-3800(85)90070-5
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A simulation model of population dynamics of the codling moth, Cydia pomonella

Abstract: A simulation model has been developed that predicts numbers and phenology of a population of codling moth, Cydia pomonella (L.), in an apple orchard. The model is a general insect population model based on the iterative-cohort technique. It operates at two time scales: a fine time scale (one hour) for temperature-dependent physiological processes, and a coarse time scale (one day) for population processes. The population is divided into a specifiable number of stages, and each stage is described by four proces… Show more

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Cited by 39 publications
(33 citation statements)
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“…For female adult development, none of the models mentioned above fit well; therefore, we selected a model from the library of TableCurve (Jandel Scientific, 1996). To describe the relationship between the total fecundity of insects and temperature, several models have been used, such as a square root exponential function (Brown et al, 1978), a quadratic function (Shaffer and Gold, 1985), a linear function (Dover et al, 1979), a Logan (Logan et al, 1976) function (Berry et al, 1991), and an extreme value function (Kim and Lee, 2003). We selected the extreme value function for total fecun-520 H. KIM et al (Kidokoro, 1978;Kono, 1989;Lee et al, 1997;Bae et al, 2005) have studied the effect of temperature on the development of R. clavatus and have used linear models to describe the relationship between temperature and the developmental rate.…”
Section: Discussionmentioning
confidence: 99%
“…For female adult development, none of the models mentioned above fit well; therefore, we selected a model from the library of TableCurve (Jandel Scientific, 1996). To describe the relationship between the total fecundity of insects and temperature, several models have been used, such as a square root exponential function (Brown et al, 1978), a quadratic function (Shaffer and Gold, 1985), a linear function (Dover et al, 1979), a Logan (Logan et al, 1976) function (Berry et al, 1991), and an extreme value function (Kim and Lee, 2003). We selected the extreme value function for total fecun-520 H. KIM et al (Kidokoro, 1978;Kono, 1989;Lee et al, 1997;Bae et al, 2005) have studied the effect of temperature on the development of R. clavatus and have used linear models to describe the relationship between temperature and the developmental rate.…”
Section: Discussionmentioning
confidence: 99%
“…El estudio del desarrollo de Cydia pomonella L. en laboratorio y a campo, permitió a Rock & Shaffer (1983) determinar el umbral de desarrollo para cumplir las distintas etapas de su ciclo. Shaffer & Gold (1985) desarrollaron un modelo de simulación que predice la fenología de una población de C. pomonella basado en la técnica de cohortes iterativas. Sporleder et al (2004) establecieron un modelo para predecir el tiempo de desarrollo de Phthorimaea operculella Zell., en zonas productoras de papa.…”
Section: Lobesiaunclassified
“…Several conditions influence the lifecycle and numbers of generations within a year. The climate, especially the temperature, is a predominant condition that influences insect development and survival [9]. Indeed, in regions with a Mediterranean climate, the numbers of generations and reproductive capacity are much higher compared to Northern Europe.…”
Section: Sterile Insectmentioning
confidence: 99%
“…In a model that was developed for apple scab (PREMISE apple scab model) [11], the population dynamics are simulated with rather simple arithmetical formulas. Contrary to this scab model, the PREMISE insect model has a solid base with the model components as described by Shaffer and Gold [9]. PREMISE distinguishes six stages for the population dynamics module (Fig.…”
Section: Population Dynamics Modulementioning
confidence: 99%
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