摘要
利用Burkard定容式孢子捕捉器结合real-time PCR定量技术,分别对种植高抗、中感和高感白粉病小麦品种的田间空气中白粉病菌分生孢子浓度进行监测,结果表明,real-time PCR定量与传统的显微观察计数两种方法测得的孢子浓度呈显著正相关(P≤0.01),且两种病菌孢子计数方法在同一抗性品种上监测到的孢子浓度动态相近。此外,两种方法测得的孢子浓度与各气象因子的相关性分析结果一致,空气中的白粉病菌孢子浓度主要与空气相对湿度显著正相关。在此基础上,利用两种方法测定的田间空气中白粉病菌孢子浓度分别建立了基于累积孢子浓度的田间病情估计模型。分析发现,基于两种孢子浓度测定方法建立的病情估计模型间无显著性差异,表明real-time PCR定量技术测定的孢子浓度在构建白粉病病情估计模型上具有一定可行性。该结果为real-time PCR定量技术与病菌孢子捕捉技术相结合用于小麦白粉病的监测和预测提供理论依据。
In this study,a combination of real-time PCR assay and Burkard 7-day recording spore traps was used to monitor airborne Blumeria graminis f.sp.tritici(Bgt)conidia in the fields across three wheat varieties exhibiting highly resistant,moderately susceptible and highly susceptible levels.There were significant correlations(P≤0.01)between conidia concentrations obtained by using a compound microscope and a real-time PCR assay.The dynamics of airborne Bgt conidia concentrations on same resistant varieties were found to be similar when determined by two methods.Furthermore,the correlations between meteorological factors and conidia concentrations,as determined by the two methods,were almost identical,with conidia concentrations mainly exhibiting significant positive correlations with humidity.Subsequently,disease estimation models for wheat powdery mildew between disease index and accumulated conidia concentration were constructed using two methods,respectively.Parallel curve analysis showed that there were no significant differences in the fitted models established based on two methods for measuring accumulated conidia concentration.The conidia concentration determined by the real-time PCR technique for fitting mildew estimation models has proven to be practical and efficient.These results suggested that the pathogen spore trap technique coupled with real-time quantitative PCR offers a potential tool for both monitoring and predicting wheat powdery mildew.
作者
王奥霖
商昭月
张美惠
王贵
胡小平
徐飞
孙振宇
曹世勤
刘伟
范洁茹
周益林
WANG Aolin;SHANG Zhaoyue;ZHANG Meihui;WANG Gui;HU Xiaoping;XU Fei;SUN Zhenyu;CAO Shiqin;LIU Wei;FAN Jieru;ZHOU Yilin(State Key Laboratory for Biology of Plant Diseases and Insect Pests,Institute of Plant Protection,Chinese Academy of Agricultural Sciences,Beijing 100193,China;State Key Laboratory for Crop Stress Resistance and High-Efficiency Production,College of Plant Protection,Northwest A&F University,Yangling 712100,China;Key Laboratory of Integrated Pest Management on Crops in Southern Part of North China,Ministry of Agriculture and Rural Affairs,Institute of Plant Protection,Henan Academy of Agricultural Sciences,Zhengzhou 450002,China;Institute of Plant Protection,Gansu Academy of Agricultural Sciences,Lanzhou 730070,China;Key Laboratory of the Pest Monitoring and Safety Control of Crops and Forests of Xinjiang Uygur Autonomous Region,College of Agronomy,Xinjiang Agricultural University,Urumqi 830052,China)
出处
《植物保护》
CAS
CSCD
北大核心
2024年第2期49-56,72,共9页
Plant Protection
基金
国家自然科学基金(32072359)。
关键词
小麦白粉病
病菌孢子捕捉
实时荧光定量PCR
病原菌监测
病情估计模型
wheat powdery mildew
pathogen spore trap
real-time quantitative PCR
monitoring of pathogen
disease estimation model
