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Chinese Agricultural Science Bulletin ›› 2024, Vol. 40 ›› Issue (8): 140-147.doi: 10.11924/j.issn.1000-6850.casb2023-0333

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Prediction of Sunflower Sclerotinia Sclerotiorum Grades in Hetao Irrigation Area

LIU Wei1,2(), WANG Huimin3(), KONG Deyin1,2, SU Yuanhong3, BAO Jiajing1,2, KONG Mingchuan1   

  1. 1 Agrometeorological Experimental Station in Bayannur City of Inner Mongolia, Bayannur, Inner Mongolia 015000
    2 Ulansuhai Wetland Ecological Meteorological Field Experimental Base of China Meteorological Administration, Bayannur, Inner Mongolia 015000
    3 Development Center of Modern Agriculture and Animal Husbandry in Bayannur City, Bayannur, Inner Mongolia 015000
  • Received:2023-04-28 Revised:2023-06-26 Online:2024-03-15 Published:2024-03-10

Abstract:

Based on the data of the occurrence, the beginning and the occurrence degree of the central diseased plants of sclerotinia sclerotiorum in the sunflower from 2000 to 2021, as well as the meteorological data of the same period, the correlation between the occurrence period and degree of sclerotinia sclerotiorum on sunflower and meteorological conditions was analyzed, and the corresponding forecasting equations were established. The results showed that temperature and humidity were the key factors affecting the occurrence of sclerotinia sclerotiorum. Precipitation, mean wind speed and sunshine hours also had important effects on the occurrence time and degree of Sclerotinia sclerotiorum. Through stepwise regression, three prediction models were established, all of which passed the significance test of 0.01 level. The fitting effect of historical data is good, the trial report effect is good, and it can be put into actual operation.

Key words: sunflower sclerotinia sclerotiorum, meteorological condition, forecasting methods, meteorological grade, incidence levels