Using a Phenology Model of Codling Moth (Cydia Pomonella) to Improve Timing of Control Measures in Apple Orchards

Neamtu, M.; Barbulescu, A.; Petrisor, Ciprian; Stinga, A.; Cornel, S.; Drosu, S.; Chireceanu, C.; Ioan, R.; Cristian, B.

doi:10.17660/actahortic.2008.803.9

Cited by 2 publications

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“…Another frequently used method is life stage modelling, which is often performed based on accumulated degree-days. The approach of degree-days is justifiable, especially for C. pomonella, because the most important natural factor for its development is air temperature (Neamtu et al 2008). The degree-days method is also involved in the phenological model for C. pomonella that was developed by Boivin et al (2005).…”

Section: Introductionmentioning

confidence: 99%

Climate variability and potential distribution of selected pest species in south Moravia and north-east Austria in the past 200 years – lessons for the future

et al. 2013

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SUMMARYThe present study investigated the historical occurrence of the European corn borer (Ostrinia nubilalis), the European grape vine moth (Lobesia botrana) and the Codling moth (Cydia pomonella) in southern Moravia and northern Austria from 1803–2008 by using climate and pest models. The pest model used, CLIMEX, indicates areas that are climatically favourable for the pest's development and long-term survival, considering the climatic parameters, especially daily air temperature, as determining factors for pest development. For model input parameters, two sets of meteorological data were prepared: (i) a generated meteorological series for 1803–2008 and (ii) a measured reference meteorological series for 1976–2008. In addition to estimating the historical climatic suitability for the persistence of a given pest, a second aim of the present study was to specify the core of the climatic niche during the continued presence of the pest and evaluate the applicability of the meteorological data generated for climate, based on pest mapping. This evaluation resulted in a partial overestimation of pest occurrence for L. botrana when using the generated meteorological data set. This species, native to warmer areas, has proved to be a sensitive indicator of increased temperatures.

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Section: Introductionmentioning

confidence: 99%

Climate variability and potential distribution of selected pest species in south Moravia and north-east Austria in the past 200 years – lessons for the future

et al. 2013

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Pest occurrence model in current climate - validation study for European domain

Svobodová¹,

Trnka²,

Dubrovský³

et al. 2013

Acta Univ. Agric. Silvic. Mendelianae Brun.

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SVOBODOVÁ EVA, TRNKA MIROSLAV, DUBROVSKÝ MARTIN, SEMERÁDOVÁ DANIELA, EITZINGER JOSEF, ŽALUD ZDENĚK, ŠTĚPÁNEK PETR: Pest occurrence model in current climatevalidation study for European domain. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2013, LXI, No. 1, pp. 205-214 The present study yields detail validation of the pest occurrence models under current climate in wide European domain. Study organisms involve Cydia pomonella, Lobesia botrana, Ostrinia nubilalis, Leptinotarsa decemlineata, Oulema melanopus, Rhopalosiphum padi, and Sitobion avenae. Method used in this study belongs to the category climate matching (CLIMEX model) allowing the estimation of areas climatically favourable for species persistence based on the climatic parameters characterising the species development. In the process of model validation parameters were iteratively tested and altered to truly describe the pest presence. The modelled pests presence was verifi ed by comparison of the observed pests occurrence with the number of generations in given modelled area. The notable component of the model parameterization was the sensitivity analyses testing the reaction of species development on changing meteorological items. Parameterization of the factors causing distribution patterns of study species was successful and modelled potential distributions of species correspond well to known core distribution areas for all of these species. This validation study is intended as an initial for forthcoming studies focused on the estimation of geographical shi s of selected pests in the conditions of climate change within the Europe.climate change, climate matching, pests, endangered areas, northern range, CLIMEX Productivity of crops grown for human consumption is at risk due to the incidence of pests, especially weeds, pathogens and animal pests, for instance without crop protection almost 75 % of attainable potato production would be lost to pests (OERKE, 2006). Pest life cycles are aff ected by various factors, among which climate conditions are the most signifi cant. Climate can limit the distribution of a species directly by infl uencing survival and fecundity or indirectly through its eff ects on interacting species, including food sources, natural enemies and competitors (GASTON, 2003). Under current climate conditions, insect species diversity per area tends to decrease with increasing latitude. A similar trend is usually seen with increasing altitude (GASTON, WILLIAMS, 1996).The present validation study represents the base material for forthcoming studies estimating the occurrence area of selected pests in the conditions of climate change. Projected studies will focused on the geographical shi of species northern range and determination of areas the most endangered by newly species establishment. Warmer conditions of climate change may be expected to promote pole ward extension of the ranges of species that are currently limited by low temperature. Changes in climate may result in alterations in the geogra...

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Using a Phenology Model of Codling Moth (Cydia Pomonella) to Improve Timing of Control Measures in Apple Orchards

Cited by 2 publications

References 0 publications

Climate variability and potential distribution of selected pest species in south Moravia and north-east Austria in the past 200 years – lessons for the future

Climate variability and potential distribution of selected pest species in south Moravia and north-east Austria in the past 200 years – lessons for the future

Pest occurrence model in current climate - validation study for European domain

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