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Mapping Global Potential Risk of Mango Sudden Decline Disease Caused by Ceratocystis fimbriata

机译:绘制由毛囊藻引起的芒果突然下降疾病的全球潜在风险

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摘要

The Mango Sudden Decline (MSD), also referred to as Mango Wilt, is an important disease of mango in Brazil, Oman and Pakistan. This fungus is mainly disseminated by the mango bark beetle, Hypocryphalus mangiferae (Stebbing), by infected plant material, and the infested soils where it is able to survive for long periods. The best way to avoid losses due to MSD is to prevent its establishment in mango production areas. Our objectives in this study were to: (1) predict the global potential distribution of MSD, (2) identify the mango growing areas that are under potential risk of MSD establishment, and (3) identify climatic factors associated with MSD distribution. Occurrence records were collected from Brazil, Oman and Pakistan where the disease is currently known to occur in mango. We used the correlative maximum entropy based model (MaxEnt) algorithm to assess the global potential distribution of MSD. The MaxEnt model predicted suitable areas in countries where the disease does not already occur in mango, but where mango is grown. Among these areas are the largest mango producers in the world including India, China, Thailand, Indonesia, and Mexico. The mean annual temperature, precipitation of coldest quarter, precipitation seasonality, and precipitation of driest month variables contributed most to the potential distribution of MSD disease. The mango bark beetle vector is known to occur beyond the locations where MSD currently exists and where the model predicted suitable areas, thus showing a high likelihood for disease establishment in areas predicted by our model. Our study is the first to map the potential risk of MSD establishment on a global scale. This information can be used in designing strategies to prevent introduction and establishment of MSD disease, and in preparation of efficient pest risk assessments and monitoring programs.
机译:芒果突然下降(MSD),也称为芒果枯萎病,是巴西,阿曼和巴基斯坦的重要芒果病。这种真菌主要通过芒果树皮甲虫Hypocryphalus mangiferae(Stebbing),受感染的植物材料以及能够长期生存的受侵染的土壤传播。避免MSD造成损失的最佳方法是防止其在芒果生产区中建立。我们在这项研究中的目标是:(1)预测MSD的全球潜在分布,(2)确定处于MSD建立潜在风险中的芒果种植区,以及(3)确定与MSD分布相关的气候因素。发生记录是从巴西,阿曼和巴基斯坦收集的,目前已知该病是在芒果中发生的。我们使用相关的基于最大熵的模型(MaxEnt)算法来评估MSD的全局电势分布。 MaxEnt模型预测了芒果中尚未发生这种疾病但芒果生长的国家中的合适区域。这些地区是世界上最大的芒果生产国,包括印度,中国,泰国,印度尼西亚和墨西哥。年平均温度,最冷季的降水,降水季节和最干旱月份的变量的降水对MSD疾病的潜在分布影响最大。已知芒果树皮甲虫载体​​发生在MSD当前存在的位置以及该模型预测合适区​​域的位置之外,因此在我们的模型预测的区域显示出很可能发生疾病。我们的研究是首次在全球范围内绘制MSD建立的潜在风险。该信息可用于设计策略,以防止MSD疾病的引入和建立,以及用于准备有效的有害生物风险评估和监测程序。

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