Abstract:

To study the climatic suitability of cauliflowers and disaster prevention in Duolun County, taking three cauliflower greenhouses as the research objects (No. 15 village of Dabeigou town, Niuyan village of Xigangou town and Paotai village of Caimushan town), we observed the daily and hourly average temperature in the greenhouses from April 28th to May 31st in 2020. Combined with the meteorological data of three nearby regional stations, and the temperature, humidity and sunshine data of the national benchmark climate station of Duolun County, we adopted linear trend fitting, correlation test and other mathematical statistics methods to analyze the correlation of temperature inside and outside the greenhouse during cauliflower seedling raising period, and the daily variation law and quantitative relationship of temperature inside and outside the greenhouse under different weather types. The results showed that there was a significantly positive correlation of the daily average temperature, daily maximum temperature and daily minimum temperature between the inside and the outside of greenhouse during cauliflower seedling raising period, and the correlation coefficient was 0.8576, 0.6061 and 0.9154, respectively. There was a significantly positive correlation between sunshine hours and daily average temperature inside the greenhouse, and the correlation coefficient was 0.5167. The relationship between the average temperature inside the greenhouse and weather condition under different weather types was: sunny day> cloudy day> rainy day, indicating that the sunny day had the greatest impact on the average temperature inside the greenhouse. The suitable meteorological indexes in different growth periods of cauliflower were established, and the main meteorological disasters, diseases and pests in the growth period of cauliflower were analyzed. The study could provide comprehensive and systematic meteorological support for cauliflower planting, enable farmers to effectively prevent meteorological disasters, and lay a foundation for agricultural multi-variety meteorological service in the future.

Key words: cauliflower, seedling raising period, growth period, meteorological index, disaster