Application of wheat bakanae disease by wet weather forcast

Abstract

A method for the prediction of the bakanae disease of wheat features that the relative humidities of air at 2, 8, 12 and 20 o'clocks are measured everyday, and it can be predicted that the bakanae disease of wheat will take place if the relative humidities at 2, 8 and 20 o'clocks are more than 85%, the relative humidity of air at 14 o'clocks is more than 82%, their durations are more than 30 hr, and the average temp is more than 12 deg.C.

Description

Technical field: [0001] The invention relates to a method for forecasting occurrence of crop scab. Background technique: [0002] Wheat head blight is a common disease that occurs in the middle and lower reaches of the Yangtze River. Its incidence and prevalence are mainly affected by three factors: one is the base of the pathogen, the other is the growth period of wheat, and the third is the meteorological conditions. Although the occurrence and prevalence of scab are the result of the joint action of many factors, it has been verified by practice that the main factor of its prevalence in each year is meteorological conditions. [0003] Existing studies believe that the prediction of wheat scab is a fuzzy problem, and the most closely related to the epidemic of wheat scab is the meteorological conditions of wheat heading and flowering period. Therefore, most researches on the forecasting of wheat scab focus on the climate prediction of wheat heading and flowering period, a...

AI Technical Summary

Problems solved by technology

Therefore, most researches on the forecasting of wheat scab focus on the climate prediction of wheat heading and flowering period, and the research results are mostly fuzzy analysis or qualitative return on the past. As for the qualitative forecasting of future trend of scab It is also inseparable from citing weather forecasts, the accuracy of which is often affected by weather forecasts