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Weather-based empirical model to predict infective sporidial stage of Tilletia indica during wheat crop season.

机译:基于天气的经验模型可预测小麦作物季节中印度ille虫的感染性孢子虫阶段。

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摘要

Field experiments conducted in Ludhiana, Punjab, India evalauted the correlations between critical components of weather (temperature and relative humidity), survival of the free living stage (sporidial colony) and amount of sporidia produced (infective stage) by Tilletia indica on wheat. Data were used to understand the epidemiology of Karnal bunt disease and develop a dynamic forecasting model.
机译:在印度旁遮普邦的卢迪亚纳进行的田间试验证明了天气的关键组成部分(温度和相对湿度),自由生活阶段(孢子菌落)的存活率和印度T虫在小麦上产生的孢子虫数量(感染期)之间的相关性。数据用于了解卡尔纳邦氏病的流行病学并建立动态预测模型。

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