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１９８６～１９９６年在石家庄河北棉花所黄、枯萎病混生病圃，对中棉所１２每年８月２０～２５日进行黄萎病调查，并与当地６～８月每旬的平均气温、降水量、日照时数和空气相对湿度等与发生黄萎病关系进行单项和综合分析。结果表明，７月份气温２７℃是发病轻重的转折点，７月中下旬的气温是影响黄萎病发病强度的主要因素，可分为高温、低湿、少雨轻病年和低温、高湿、多雨重病年，两者出现频率接近５０％。经过对黄萎病指（Ｙ）与所有因子逐步回归分析，入选因子为７月中旬湿度（Ｘ５）、６月下旬降水量（Ｘ１２）、７月中旬降水量（Ｘ１４）、７月下旬日照时数（Ｘ２４）和６月下旬平均气温（Ｘ３０），得出回归方程可试用于黄萎病发病的预测预报。
Verticillium wilt disease was investigated in cotton mixed with yellow and wilt in Shibeijin Hebei Province from 1986 to 1996. The investigation of Verticillium wilt was carried out on August 20-25 in CIMC 12 and the annual average temperature, precipitation, , Sunshine hours and air relative humidity and the occurrence of Verticillium wilt single and comprehensive analysis. The results showed that the temperature of 27 ℃ in July was the turning point of severity. The temperature in the middle and late July was the main factor that affected the intensity of Verticillium wilt. It could be divided into three stages: high temperature, low humidity, light and dry weather, low temperature and high humidity, Year, the frequency of occurrence of both close to 50%. After stepwise regression analysis of Verticillium wilt (Y) and all the factors, the selected factors were the mid-July humidity (X5), the precipitation in the late June (X12), the precipitation in the middle of July (X14) (X24) and the average temperature in late June (X30). The regression equation can be used to forecast the incidence of Verticillium wilt.