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利用澳大利亚的情况建立印度腥黑粉菌(引起小麦印度腥黑穗病的病原菌)的传入、定殖、传播、控制和经济影响的模型。

Modeling the Risk of Entry, Establishment, Spread, Containment, and Economic Impact of Tilletia indica, the Cause of Karnal Bunt of Wheat, Using an Australian Context.

出版信息

Phytopathology. 2002 Mar;92(3):321-31. doi: 10.1094/PHYTO.2002.92.3.321.

DOI:10.1094/PHYTO.2002.92.3.321
PMID:18944006
Abstract

ABSTRACT Modeling techniques were developed to quantify the probability of Tilletia indica entering and establishing in Western Australia (WA), and to simulate spread, containment, and the economic impact of the pathogen. Entry of T. indica is most likely to occur through imports of bulk grain or fertilizer (0.023 +/- 0.017 entries per year and approximately 0.009 +/- 0.009 establishments per year). Entry may also occur through straw goods, new or second-hand agricultural machinery, and on personal effects of travelers who have visited regions with infected plants. The combined probability of entry and establishment of T. indica, for all pathways of entry, is about one entry every 25 years and one establishment every 67 years. Alternatively, sensitivity analysis does show that increases in quarantine funding can reduce the probability of entry to about one entry every 50 years and less than one establishment every 100 years. T. indica is spread efficiently through contaminated farm machinery, seed and soil, rain, air currents, and animals. Depending on the rate of spread of the pathogen and the amount of resources allocated for detection, the time until first detection could range from 4 to 11 years and the economic impact could range from 8 to 24% of the total value of wheat production in WA.

摘要

摘要 本研究建立了模型来量化印度腥黑粉菌传入和定殖西澳大利亚(WA)的概率,并对病原菌的传播、控制和经济影响进行了模拟。印度腥黑粉菌的传入最有可能通过散装谷物或肥料的进口(每年 0.023 ± 0.017 次入境和每年约 0.009 ± 0.009 次定殖)。也可能通过秸秆制品、新的或二手农业机械以及曾到访过受感染植物地区的旅行者的个人物品传入。所有传入途径的印度腥黑粉菌的传入和定殖的综合概率,大约是每 25 年传入一次,每 67 年定殖一次。或者,敏感性分析确实表明,增加检疫资金可以将传入的概率降低到大约每 50 年传入一次,每 100 年不到一次定殖。印度腥黑粉菌通过受污染的农业机械、种子和土壤、雨水、气流和动物高效传播。根据病原菌的传播速度和用于检测的资源量,首次检测到病原菌的时间可能在 4 到 11 年之间,WA 地区小麦总产量的经济损失可能在 8%到 24%之间。

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