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Quantitative epidemiology of banana bunchy top virus disease and its control.

机译:香蕉束顶病毒病的定量流行病学及其控制。

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摘要

Models of a banana bunchy top nanavirus disease epidemic were developed to incorporate the 2 key features of an epidemic in a plantation in the Philippines: an exponential increase in disease incidence over 10 years, and a declining gradient of incidence from the outside edge of the plantation to the centre. A non-spatial model consisted of 3 difference equations to describe the numbers of latently infected and of infectious plants in the plantation and the size of the inoculum source outside the plantation. In a spatial model the outside portion of the plantation was divided into 8 blocks running parallel to the outside edge. The dispersal gradient of the inoculum was assumed to be negative exponential. Analysis of the 2 models showed that for disease incidence to increase exponentially over time, the rate of disease progress could be dependent either on internal spread and roguing rate (proportion of diseased plants removed and replaced per unit time) or on the rate of increase of external inoculum pressure. It is suggested that the observed incidence gradient from the edge to the centre of the plot could be explained only if external inoculum dominated the parameters in the spatial model. This model was also used to explore a variable roguingrate across blocks. Simulations suggested that this may produce small gains over the adoption of a constant roguing rate over all blocks, but was risky because a shift of roguing emphasis only slightly too far towards the outside blocks can result in adramatic increase in disease.
机译:开发了香蕉束顶端纳纳病毒病流行模型,以纳入菲律宾人工林中流行病的两个主要特征:10年内疾病发病率呈指数级增长,并且人工林外缘发病率呈下降趋势到中心。一个非空间模型由3个差异方程组成,用于描述种植园中潜在感染和感染植物的数量以及种植园外接种源的大小。在空间模型中,人工林的外部分为平行于外部边缘的8个块。接种物的分散梯度假定为负指数。对这两个模型的分析表明,要使疾病发病率随时间呈指数增长,疾病进展的速度可能取决于内部传播和生根率(每单位时间被移走和替换的患病植物的比例)或取决于外部接种压力。建议仅当外部接种物主导空间模型中的参数时,才能解释从图的边缘到中心的观察到的入射梯度。该模型还用于探索跨块的可变行进率。模拟表明,与在所有块上采用恒定的漫游速率相比,这可能会产生很小的收益,但是这是有风险的,因为漫游重点仅向外部块移得太远会导致疾病的急剧增加。

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