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A novel modelling approach to describe an insect life cycle vis-à-vis plant protection: description and application in the case study of Tuta absoluta

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  • Rossini, Luca
  • Severini, Maurizio
  • Contarini, Mario
  • Speranza, Stefano

Abstract

The Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae), commonly known as the tomato leaf miner, is arousing interest throughout the scientific community because of its aggressiveness against Lycopersicon spp., Capsicum spp. and Solanum spp. Significant economic losses surrounding the tomato plant have been reported in different parts of the world and these are, above all, the result of the immense capacity of the tomato leaf miner to reproduce within its life cycle, which spans an average of 30 days. The aim of this paper is the demonstration of a novel mathematical model capable to describe ectotherms life cycle, and to test it in the case of T. absoluta. A mathematical description can help farmers and stakeholders to forecast when the stages at which the insect is most susceptible to control strategies, will be reached. This will allow timely planning for the performance of the most efficient and environmentally friendly control strategy. The model is based on a first order partial differential equation, which can describe the density of population in function of the time t, and physiological age x, and which is driven by the environmental parameters and fundamental conditions for poikilothermic organisms. The result is a simulation of the life cycle, which depicts that the development of the insect is largely due to daily average temperature. This study is strengthened by double validation with semi-field data collected in an experimental greenhouse.

Suggested Citation

  • Rossini, Luca & Severini, Maurizio & Contarini, Mario & Speranza, Stefano, 2019. "A novel modelling approach to describe an insect life cycle vis-à-vis plant protection: description and application in the case study of Tuta absoluta," Ecological Modelling, Elsevier, vol. 409(C), pages 1-1.
  • Handle: RePEc:eee:ecomod:v:409:y:2019:i:c:6
    DOI: 10.1016/j.ecolmodel.2019.108778
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    References listed on IDEAS

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    1. Gilioli, Gianni & Pasquali, Sara & Marchesini, Enrico, 2016. "A modelling framework for pest population dynamics and management: An application to the grape berry moth," Ecological Modelling, Elsevier, vol. 320(C), pages 348-357.
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    Cited by:

    1. Kolpas, Allison & Funk, David H. & Jackson, John K. & Sweeney, Bernard W., 2020. "Phenological modeling of the parthenogenetic mayfly Neocloeon triangulifer (Ephemeroptera: Baetidae) in White Clay Creek," Ecological Modelling, Elsevier, vol. 416(C).
    2. Rossini, Luca & Contarini, Mario & Severini, Maurizio & Speranza, Stefano, 2020. "Reformulation of the Distributed Delay Model to describe insect pest populations using count variables," Ecological Modelling, Elsevier, vol. 436(C).
    3. Rossini, Luca & Bono Rosselló, Nicolás & Speranza, Stefano & Garone, Emanuele, 2021. "A general ODE-based model to describe the physiological age structure of ectotherms: Description and application to Drosophila suzukii," Ecological Modelling, Elsevier, vol. 456(C).
    4. Brunetti, Matteo & Capasso, Vincenzo & Montagna, Matteo & Venturino, Ezio, 2020. "A mathematical model for Xylella fastidiosa epidemics in the Mediterranean regions. Promoting good agronomic practices for their effective control," Ecological Modelling, Elsevier, vol. 432(C).

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