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THE SPATIOTEMPORAL DYNAMICS OF AFRICAN CASSAVA MOSAIC DISEASE

机译:非洲木薯马赛克病的时空动力学

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African Cassava Mosaic Disease, a vector-borne plant disease, causes massive food shortages throughout sub-Saharan Africa. A system of ordinary differential equations is used to find the equilibrium values of the whitefly vector and the cassava plants it affects. The temporal ODE system is modified to incorporate the spatial dynamic. The resulting system of advection-diffusion equations is analyzed using finite differencing in MATLAB to assess the spatiotemporal spread of ACMD. The partial differential equations system is systematically altered and solutions are assessed in terms of the relative cassava yield they predict. Simulations include parameter sensitivity analysis, spatial modifications, analysis of the impact of a source term, and initial condition variance. Results are compared with field data. Practical implications of these simulations for controlling ACMD are explored. Data suggests that the use of windbreaks and ACMD resistant strains of cassava will have the most beneficial impact on cassava yield.
机译:非洲木薯马赛克疾病是一种载体传染料植物疾病,导致撒哈拉以南非洲的巨大粮食短缺。常微分方程系统用于找到粉虱载体的平衡值和它影响的木薯植物。修改时间ode系统以包含空间动态。利用MATLAB中的有限差异分析了对散射方程的所得系统,以评估ACMD的时空扩散。部分微分方程系统被系统地改变,并根据他们预测的相对Cassava产量来评估解决方案。仿真包括参数灵敏度分析,空间修改,源期限的影响分析,以及初始条件方差。结果与现场数据进行比较。探讨了这些仿真控制ACMD的实际意义。数据表明,使用防风和抗癌的木薯菌株对木薯产量的影响最有益。

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