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Analysis and Optimal Control of the Tungro Virus Disease Spread Model in Rice Plants by Considering the Characteristics of the Virus, Roguing, and Pesticides

Author

Listed:
  • Rika Amelia

    (Doctoral Program of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia)

  • Nursanti Anggriani

    (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia)

  • Asep K. Supriatna

    (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia)

  • Noor Istifadah

    (Department of Plant Pathology, Faculty of Agriculture, Universitas Padjadjaran, Sumedang 45363, Indonesia)

Abstract

Farmers have an essential role in maintaining food security. One of the food crops that occupies a high position in Indonesia is rice. However, farmers often experience problems when cultivating rice plants, one of which is affected by the tungro virus disease in rice plants. The spread of the disease can be controlled by the roguing process and applying pesticides. In this study, an analysis of the model of the spread of tungro virus disease in rice plants took into account the characteristics of the rice tungro spherical virus (RTSV) and rice tungro bacilliform virus (RTBV), as well as control in the form of roguing processes and application of pesticides. The analysis carried out was in the form of dynamic analysis, sensitivity analysis, and optimal control. In addition, numerical simulations were also carried out to describe the results of the analysis. The results showed that the roguing process and the application of pesticides could control the spread of the tungro virus disease. The application is sufficient, at as much as 75%.

Suggested Citation

  • Rika Amelia & Nursanti Anggriani & Asep K. Supriatna & Noor Istifadah, 2023. "Analysis and Optimal Control of the Tungro Virus Disease Spread Model in Rice Plants by Considering the Characteristics of the Virus, Roguing, and Pesticides," Mathematics, MDPI, vol. 11(5), pages 1-14, February.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:5:p:1151-:d:1080359
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    References listed on IDEAS

    as
    1. Rika Amelia & Nursanti Anggriani & Asep K. Supriatna & Noor Istifadah, 2022. "Mathematical Model for Analyzing the Dynamics of Tungro Virus Disease in Rice: A Systematic Literature Review," Mathematics, MDPI, vol. 10(16), pages 1-18, August.
    2. Bi, Kaiming & Chen, Yuyang & Zhao, Songnian & Ben-Arieh, David & (John) Wu, Chih-Hang, 2020. "A new zoonotic visceral leishmaniasis dynamic transmission model with age-structure," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
    3. Azzam, Ossmat & Cabunagan, Rogelio C. & Chancellor, Tim, 2000. "Methods for Evaluating Resistance to Rice Tungro Disease," IRRI Discussion Papers 287604, International Rice Research Institute (IRRI).
    Full references (including those not matched with items on IDEAS)

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