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A mathematical model for fall armyworm management on maize biomass

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dc.creator Daudi, Salamida
dc.creator Luboobi, Livingstone
dc.creator Kgosimore, Moatlhodi
dc.date 2021-02-11T09:37:16Z
dc.date 2021-02-11T09:37:16Z
dc.date 2021-02-04
dc.date.accessioned 2022-10-25T09:15:45Z
dc.date.available 2022-10-25T09:15:45Z
dc.identifier https://doi.org/10.1186/s13662-021-03256-5
dc.identifier https://dspace.nm-aist.ac.tz/handle/20.500.12479/1108
dc.identifier.uri http://hdl.handle.net/123456789/94569
dc.description This research article published by Springer Nature, 2021
dc.description Fall armyworm (Spodoptera frugiperda), a highly destructive and fast spreading agricultural pest native to North and South America, poses a real threat to global food security. In this paper, to explore the dynamics and implications of fall armyworm outbreak in a field of maize biomass, we propose a new dynamical system for maize biomass and fall armyworm interaction via Caputo fractional-order operator, which is not only a nonlocal operator but also contains all characteristics concerned with memory of the dynamical system. We define the basic reproduction number, which represents the average number of newborns produced by one individual female moth during its life span. We establish that the basic reproduction number is a threshold quantity, which determines persistence and extinction of the pest. Finally, we simulate the Caputo system using the Adam–Bashforth–Moulton method to illustrate the main results.
dc.format application/pdf
dc.language en
dc.publisher Springer Nature
dc.subject Fall armyworm
dc.subject Fractional calculus
dc.subject Mathematical modeling
dc.subject Pest control strategies
dc.title A mathematical model for fall armyworm management on maize biomass
dc.type Article


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