Dynamic monitoring of aerial conidia and disease estimation models for wheat powdery mildew in fields using pathogen spore traps coupled with real-time PCR technique
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.
wheat powdery mildewpathogen spore trapreal-time quantitative PCRmonitoring of pathogendisease estimation model
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