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NM-AIST Repository
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Browsing by Author "Reuben, Yusuph"

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    Modelling the dynamics of Spodoptera frugiperda infestation in maize production with control strategies
    (NM-AIST, 2024-08) Reuben, Yusuph
    The ongoing demand for maize is driven by its nutritional value, ability to meet the food re quirements of a increasing world population, its impact on ensuring a stable food supply, and the growing international investments in ethanol as a renewable fuel source. Nevertheless, the invasion and extensive spread of the Spodoptera frugiperda pest cause substantial losses in maize yields, resulting in a diminished standard of living and an economic downturn for those involved in maize production. This study formulates the systems of differential equations to simulate the dynamics of a model encompassing both Spodoptera frugiperda and maize biomass. The model considers the presence of predators and the application of best farming practices. The model demonstrates six equilibrium points, and they are locally asymptotically stable provided that the essential conditions are satisfied. Global stability for models’ equi libria are established by Lyapunov functions. Latin Hypercube Sampling (LHS) and Partial Rank Correlation Coefficient (PRCC) multivariate analysis were utilized to pinpoint the sen sitive parameters that influence the pest. The predators attack rate and best farming practices was the most sensitive parameter, when increases maize biomass increases while pest popu lation significantly dencreases. Numerical simulations indicate that, during the initial phases, combining natural enemies with best farming practices emerges as a successful intervention by directly decreasing the pest population and fostering sustainable pest control. The optimal control strategy which combines farming education campaign and predator selection awere ness on eggs and larval reduced pest infestation in early stages. Thus, to control the pest, we recommend that more efforts be directed to reduce eggs and larval populations and improving farming methods through education campaign.
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    Predatory effects on the dynamics of Spodoptera Frugiperda infestations in maize
    (ELSEVIER, 2023) Reuben, Yusuph; Mayengo, Maranya; Daudi, Salamida
    Maize remains in demand due to its nutritive value, capacity to provide food for a growing world population, contribution to food security, and increase in worldwide investments in ethanol as a biofuel. However, the invasion and widespread infestation of Spodoptera frugiperda result in significant maize yield losses, leading to a lower standard of living and a weakened economy for maize producers. This study builds differentiable equations to simulate the behavior of the Spodoptera frugiperda-maize biomass model, incorporating predators and best farming practices. The model exhibits six points of equilibrium, all of which are locally asymptotically stable if the necessary requirements are met. Latin Hypercube Sampling (LHS) and PRCC multivariate analysis were employed to identify the sensitive parameters affecting the pest. Numerical simulations suggest that, in the early stages, integrating natural enemies with best farming practices proves to be an effective intervention as it directly reduces the pest population and promotes sustainable pest control.
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