Abstract: At present, Heihe 43,the soybean variety with the largest planting area in China, has a relatively stable yield for many years.In order to explore the influence of meteorological factors on its yield, this study used the meteorological factor data observed by the Heihe Meteorological Bureau for five consecutive years from 2017 to 2021 to monitor Heihe 43 yield composition factor in the branch test base of Heihe Branch of Heilongjiang Academy of Agricultural Sciences.The correlation analysis between the meteorological factor and the yield factor, and the establishment of a soybean yield forecast model which is suitable for Heihe region.The results showed that the yield composition of Heihe 43 had a strong positive correlation with the average temperature in June and precipitation in July, and a noteworthy negative correlation with the precipitation in September and sunshine hours in July.The estimated yield of Heihe 43 was established in use of Multiple Linear Regression analysis.The formed meteorological factor regression equation was Y=3 048.903-3.573X₁+2.387X₂-3.099X₃+0.03X₄,indicated that the sunshine hours in July（X₁）,the precipitation in June（X₂）,the precipitation in September（X₃） and the monthly average temperature in July（X₄） had a significant effect on the yield composition.The regression equation can effectively monitor the yield of soybean variety Heihe 43 and predict its yield.