Rice false smut prediction method based on rainfall and temperature

Abstract

The invention discloses a rice false smut prediction method based on rainfall and temperature. The method comprises the following steps of S1, determining that a key period of rice false smut is froma booting stage to an early stage of filling according to the prevalence characteristics of rice false smut; S2, calculating a rainfall coefficient; S3, calculating a temperature coefficient, calculating the temperature coefficient according to the requirement characteristics of the growth and development of ustilaginoidea virens on the temperature; S4, calculating a comprehensive meteorological condition index; S5, according to the comprehensive meteorological condition indexes obtained in the step S4, the false smut occurrence level being judged, and a forecasting model being established. According to the method, the false smut occurrence situation can be forecasted according to the rainfall level and the temperature in weather forecasting; in the application process, the comprehensive meteorological condition indexes can well reflect the comprehensive influence of meteorological conditions on the false smut and accurately predict the occurrence degree of the false smut, so that prevention and control are carried out in time, the rice yield and quality are ensured, prediction elements are easy to obtain, operation is easy, and application and popularization are facilitated.

Description

technical field [0001] The invention relates to the field of forecasting crop diseases and insect pests, in particular to a method for predicting rice false smut based on precipitation and temperature. Background technique [0002] Smut is a fungal disease that occurs on the panicle in the middle and late stages of rice growth. During the propagation of rice smut, the fungus consumes a large amount of nutrients in the diseased grain and adjacent grains, affecting nutrient delivery, resulting in an increase in the empty grain rate, and a decrease in the seed setting rate and thousand-grain weight. As a result, production is reduced, and when serious, the production loss reaches more than 50%. Oyster smut can produce a large amount of toxins that have a strong inhibitory effect on the cell division of humans, animals, and plants, making it a major obstacle to the production of high-quality rice on the one hand, and it also poses a certain threat to food safety. Therefore, acc...

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Problems solved by technology

It is generally believed that the occurrence degree of rice false smut is closely related to meteorological factors such as precipitation, temperature, humidity, and sunshine in a period of time before and after rice heading. At present, in the research on the use of meteorological conditions to develop rice false smut prediction models, the number of days of precipitation in stages, precipitation Meteorological factors such as water volume and relative humidity were used as predictors, without considering the influence of daily precipitation level on rice false smut

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