脲孢子
生物
Rust(编程语言)
日照时长
相对湿度
园艺
孢子
植物
气象学
物理
计算机科学
程序设计语言
作者
Xuemin Hu,Jiahao Lin,Yuxiang Li,Hua Zhang,Xiangming Xu,Xiaoping Hu
出处
期刊:Phytopathology
[Scientific Societies]
日期:2024-02-08
被引量:1
标识
DOI:10.1094/phyto-01-24-0012-r
摘要
Stripe rust, caused Puccinia striiformis f. sp. tritici (Pst), is one of the main diseases of wheat worldwide. Mianyang of Sichuan province in southwest in China is one of main regions for winter Pst inoculum production and spring epidemic, and provides urediniospores for infecting wheat in the surrounding regions. Understanding the urediniospore dynamics is important to predict and manage stripe rust. In this study, spore trapping coupled with a TaqMan real-time quantitative PCR (TaqMan-qPCR) method was used to monitor airborne Pst urediniospores from December 2019 to December 2022 in Mianyang. Weather conditions (temperature, relative humidity, daily sunshine duration and precipitation) were collected for the same period. These data were used to study the relationship of airborne urediniospore density with climatic conditions. The results showed that Pst urediniospores were captured all year round, and the annual peak of urediniospore densities occurred in the period from March to April in which the urediniospores accounted for the largest proportion of the annual total urediniospores. The density of urediniospores in the period of March to April was linearly related to the average sunshine duration of 20 days and average temperature of 15 days prior to the final day of a 7-day trapping period. This relationship needs to be tested in other regions where Pst can sporulate during the winter before it can be integrated with Pst infection conditions to predict rust development.
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