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Mathematical Model for Analyzing the Dynamics of Tungro Virus Disease in Rice: A Systematic Literature Review

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 Pests and Diseases, Faculty of Agriculture, Universitas Padjadjaran, Sumedang 45363, Indonesia)

Abstract

One of the main obstacles in rice cultivation is the tungro virus disease caused by Rice tungro spherical virus (RTSV) and Rice tungro bacilliform virus (RTBV). These viruses are transmitted by green leafhopper ( Nephotettix virescens ) vector, semi-persistently after sucking infected plants. Subsequently, the vectors migrate and suck susceptible plants, but they can be controlled chemically and biologically. Mathematical modeling is one of the tools that can be used to analyze the spread of disease in plants. A literature review was conducted regarding the mathematical model of the spread of tungro virus disease in rice plants with the data sourced from scholarly references available in the dimension database, Google Scholar, and Scopus in 2012–2021. The steps followed include conducting a literature analysis and examining the mathematical model of the transmission of tungro virus disease in rice plants to identify gaps for future research. The results show that since 2016, few studies have analyzed mathematical models of the spread of tungro virus disease in rice plants. This is evident from the data search results, which show that only four articles were acquired through the option of duplication and visualization using VOSviewer software.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:16:p:2944-:d:888768
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    References listed on IDEAS

    as
    1. Atallah, Shady S. & Gomez, Miguel I. & Conrad, Jon M. & Nyrop, Jan P., 2012. "An Agent-Based Model of Plant Disease Diffusion and Control: Grapevine Leafroll Disease," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124936, Agricultural and Applied Economics Association.
    2. 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).
    3. El-Sayed, A.M.A. & Rida, S.Z. & Gaber, Y.A., 2020. "Dynamical of curative and preventive treatments in a two-stage plant disease model of fractional order," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
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    Cited by:

    1. Wulan Anggraeni & Sudradjat Supian & Sukono & Nurfadhlina Binti Abdul Halim, 2022. "Earthquake Catastrophe Bond Pricing Using Extreme Value Theory: A Mini-Review Approach," Mathematics, MDPI, vol. 10(22), pages 1-22, November.
    2. 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.

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    1. 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.
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