Department of Mathematics, College of Natural and Computational Sciences, University of Gondar, Gondar, Ethiopia.
Department of Biology, College of Natural and Computational Sciences, University of Gondar, Gondar, Ethiopia.
Sci Rep. 2024 Oct 25;14(1):25360. doi: 10.1038/s41598-024-74121-0.
Faba bean is one of the most important grown plants worldwide for human and animal. Despite its various importance, the productivity of faba bean has been constrained by several biotic and abiotic factors. Many faba bean pathogens have been reported so far, of which the most important yield limiting disease is Chocolate Spot Disease (Botrytis fabae). The dynamics of disease transmission and decision-making processes for intervention programs for disease control are now better understood through the use of mathematical modeling. In this paper a deterministic mathematical model for Chocolate Spot disease (CSD) on faba bean plant with an optimal control model was developed and analyzed to examine the best strategy in controlling CSD. The optimal control model is developed with three control interventions, namely prevention ( ), quarantine ( ) and chemical control ( ). The Pontryagin'€™s maximum principle isused to derive the Hamiltonian, the adjoint variables, the characterization of the controls and the optimality system. A cost-effective approach is chosen from a set of possible integrated strategies using the incremental cost-effectiveness ratio (ICER). The forward-backward sweep iterative approach is used to run numerical simulations. We obtained the Hamiltonian, the adjoint variables, the characterization of the controls and the optimality system. The numerical results demonstrate that each integrated strategy can reduce the diseases within the specified period. However due to limited resources, an integrated strategy prevention and uprooting was found to be a best cost-effective strategy to combat CSD. Therefore, attention should be given for the integrated cost-effective and environmentally eco-friendly strategy by stake holders and policy makers to control CSD and disseminate the integrated intervention to the farmers in order to fight the spread of CSD in the Faba bean population and produce the expected yield from the field.
菜豆是全世界最重要的人类和动物种植作物之一。尽管它有多种重要性,但由于生物和非生物因素的限制,菜豆的生产力一直受到限制。迄今为止,已经报道了许多菜豆病原体,其中最重要的限制产量的疾病是巧克力斑病(Botrytis fabae)。通过使用数学建模,现在可以更好地了解疾病传播的动态和干预计划决策过程,以控制疾病。本文针对菜豆上的巧克力斑病(CSD)建立了一个确定性的数学模型,并对最优控制模型进行了分析,以检查控制 CSD 的最佳策略。最优控制模型采用三种控制干预措施,即预防( )、检疫( )和化学控制( )。庞特里亚金最大值原理用于推导出哈密顿函数、伴随变量、控制特征和最优系统。使用增量成本效益比(ICER)从一组可能的综合策略中选择一种具有成本效益的方法。采用前向后扫迭代方法进行数值模拟。我们得到了哈密顿函数、伴随变量、控制特征和最优系统。数值结果表明,每种综合策略都可以在规定的时间内减少疾病。然而,由于资源有限,预防和根除的综合策略被发现是对抗 CSD 的最佳成本效益策略。因此,利益相关者和决策者应关注具有成本效益和环境友好的综合策略,以控制 CSD,并向农民传播综合干预措施,以控制 CSD 在菜豆种群中的传播并从田间获得预期产量。