Temperature‐Dependent Population Model of Apple Leafminer, <i>Phyllonorycter ringoniella</i> (Lepidoptera: Gracillariidae)

The Asiatic apple leafminer, Phyllonorycter ringoniella (Matsumura), is a significant secondary pest of apple trees in Northeast Asia. To better understand its population dynamics, a population model based on temperature-developmental relationships was constructed. This model includes three sub-models: spring emergence, immature stage transition, and adult oviposition. Field data were collected from sex-pheromone baited traps in apple orchards in Andong, Korea, during 2015 and 2016 to validate the model. Simulations under six pesticide-natural enemy scenarios showed that the population size of each generation was best simulated when weighted mortality factors for pesticides and natural enemies were applied. Using daily temperature inputs, the model demonstrated that P. ringoniella typically undergoes five generations per year, with peak times predicted within a 7-day margin of field data. Sensitivity analyses revealed that population size was influenced by total fecundity and the larval stage model, but peak times remained consistent despite parameter changes. Higher temperatures led to earlier adult peak dates, especially in summer generations. This model serves as a fundamental tool for estimating population dynamics and abundance changes of P. ringoniella and can guide the timings of pesticide application. Further validation is necessary to test the model's efficacy in controlling pests in apple orchards.

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Publication Details

Journal
Archives of Insect Biochemistry and Physiology
Published
2025-09-01
DOI
https://doi.org/10.1002/arch.70094
Primary Topic
Insect-Plant Interactions and Control
Type
article
Field-Weighted Citation Impact
0.00

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article

Temperature‐Dependent Population Model of Apple Leafminer, Phyllonorycter ringoniella (Lepidoptera: Gracillariidae)

Hongtao Tu, Heli Hou, Chuleui Jung, Shubao Geng et al.
1 links
Archives of Insect Biochemistry and Physiology
Insect-Plant Interactions and Control
article

Temperature‐Dependent Population Model of Apple Leafminer, Phyllonorycter ringoniella (Lepidoptera: Gracillariidae)

Hongtao Tu, Heli Hou, Chuleui Jung, Shubao Geng, Lei Chen, Zhou Zhou, Shibao Guo, Qiao Li
article en

Abstract

The Asiatic apple leafminer, Phyllonorycter ringoniella (Matsumura), is a significant secondary pest of apple trees in Northeast Asia. To better understand its population dynamics, a population model based on temperature-developmental relationships was constructed. This model includes three sub-models: spring emergence, immature stage transition, and adult oviposition. Field data were collected from sex-pheromone baited traps in apple orchards in Andong, Korea, during 2015 and 2016 to validate the model. Simulations under six pesticide-natural enemy scenarios showed that the population size of each generation was best simulated when weighted mortality factors for pesticides and natural enemies were applied. Using daily temperature inputs, the model demonstrated that P. ringoniella typically undergoes five generations per year, with peak times predicted within a 7-day margin of field data. Sensitivity analyses revealed that population size was influenced by total fecundity and the larval stage model, but peak times remained consistent despite parameter changes. Higher temperatures led to earlier adult peak dates, especially in summer generations. This model serves as a fundamental tool for estimating population dynamics and abundance changes of P. ringoniella and can guide the timings of pesticide application. Further validation is necessary to test the model's efficacy in controlling pests in apple orchards.

Archives of Insect Biochemistry and PhysiologyVol. 120(1)
Gyeongguk National University (KR), Xinyang Agriculture and Forestry University (CN), Zhengzhou Fruit Research Institute (CN)
National Research Foundation, National Natural Science Foundation of China, National Research Foundation of Korea
Openalex Percentile: Top 78%
Insect-Plant Interactions and Control
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