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Chinese Agricultural Science Bulletin ›› 2025, Vol. 41 ›› Issue (12): 88-93.doi: 10.11924/j.issn.1000-6850.casb2024-0627

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Research on Meteorological Risk Forecasting Technology for Spring Corn Spot Disease in Tuquan County, Inner Mongolia

ZHANG Ling1(), YANG Yuhui2(), ZHOU Yinuo1(), YANG Dongxu1   

  1. 1 Meteorological Bureau of Tuquan County, Tuquan, Inner Mongolia 137500
    2 Meteorological Bureau of Zhalaite Banner, Zhalaite, Inner Mongolia 137600
  • Received:2024-10-12 Revised:2025-03-25 Online:2025-04-25 Published:2025-04-24

Abstract:

In order to clarify and grasp the meteorological conditions and risk level forecasting technology for the occurrence and development of spring maize leaf spot disease in Tuquan County, a coupled analysis was conducted using the meteorological conditions of air temperature, relative temperature, precipitation, and 2-minute wind speed in Tuquan County over the past 10 years (2014-2023) and agricultural production data such as the time, degree, and affected area of spring maize leaf spot disease occurrence in Tuquan County over the past 10 years (2014-2023) to establish a prediction model for maize leaf spot disease occurrence. The analysis showed that the overall changes in four meteorological elements in each township of Tuquan County from May to September 2014-2023 tended to be consistent; Since 2019, there had been an increase in the proportion of the area, which had remained at around 10%. Utilizing four meteorological factors to establish meteorological indicators for the occurrence and development of maize leaf spot disease, it is possible to predict the occurrence area of spring maize leaf spot disease through a predictive model based on the statistical values of perennial meteorological factors and the forecast conclusions of meteorological factors for the next year, providing a scientific prevention basis for agricultural production.

Key words: corn, leaf spot disease, meteorological risk, pattern, forecasting technology