Development of Weather- and Airborne lnoculum-Based Models to Describe Disease Severity of Wheat Powdery Mildew
文献类型： 外文期刊
作者： Cao, Xueren 2 ; Yao, Dongming 1 ; Xu, Xiangming 4 ; Zhou, Yilin 1 ; Ding, Kejian 3 ; Duan, Xiayu 1 ; Fan, Jieru 1 ; Luo, 1 ;
作者机构： 1.Chinese Acad Agr Sci, Inst Plant Protect, State Key Lab Biol Plant Dis & Insect Pests, Beijing 100193, Peoples R China
2.Chinese Acad Trop Agr Sci, Environm & Plant Protect Inst, Minist Agr, Key Lab Integrated Pest Management Trop Crops, Haikou 571001, Peoples R China
3.Anhui Agr Univ, Coll Plant Protect, Hefei 230036, Peoples R China
4.East Mailing Res, East Malling ME19 6BJ, Kent, England
5.China Agr Univ, Dept Plant Pathol, Beijing 100193, Peoples R China
期刊名称：PLANT DISEASE （ 影响因子：4.438； 五年影响因子：4.7 ）
ISSN： 0191-2917
年卷期： 2015 年 99 卷 3 期
页码：
收录情况： SCI
摘要： Disease severity of wheat powdery mildew, caused by Blumeria graminis f. sp. tritici, was recorded weekly in fungicide-free field plots for three successive seasons from 2009 to 2012 in Langfang City, Hebei Province, China. Airborne conidia of B. graminis f. sp. tritici were trapped using a volumetric spore sampler, and meteorological data were collected using an automatic weather station. Cumulative logit models were used to relate the development of wheat powdery mildew to weather variables and airborne conidia density. Density of airborne conidia was the most important variate; further addition of weather variables, although statistically significant, increased model performance only slightly. A model based on variables derived from temperature and humidity had a generalized R-2 of 72.4%. Although there were significant differences in model parameters among seasons, fine adjustment did not increase model performance significantly.
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