Analysis Of Meteorological Factor On The Soybean Yield Compoents In Tonghua

The growth development and yield of medium maturity soybean varieties in Tonghua of Jin Lin province were observed by twenty years (1990-2008) positioning planting, and the correlated analysis were done by its data and meteorological data. At the same time, yield of each year were differentiated from abundant and in abundant owe year and yield of different year were also analyzed with meteorological data. The results show that:(1)The annual variation coefficient of the soybean yield in Tonghua are influenced by environmental conditions obviously. From the change of individual year yield, the range came to61.5%and the influence of meteorological factors on soybean yield between annual is more obvious.(2)The yield of soybean in Tonghua is significantly associated with accumulated temperature in the middle ten days of September, which conforms to the linear equation Y=20.730X-1134.9.(3) In the harvest year, accumulated temperature of May, June and September is high and accumulated temperature is high in August in the normal year while accumulated temperature is high in July in the owe year; In the harvest year, the sunshine time is the most in August and the sunshine time in the common year is the most in September while the sunshine hours are the most in May, June and July in the owe year; For the precipitation, the rainfall is the most in August and September in harvest year, and the rainfall is the most in July and June respectively.(4) The less accumulated temperature in May in Tonghua area makes the delay of the seedling and affects growth process further. The low accumulated temperature in September affects the soybean ripening process significantly. The annual sunshine time and precipitation are not the main factors for restricting the soybean yield.(5) Plant height:common year> harvest year> owe year; pod number:harvest year> common year> owe year; grain weight per plant and yield:harvest year> common year> owe year. Small short plant height leads to small vegetation, and the less podding node is also one of the reasons for yield reduction.(6) The grain weight per plant, stem and leaf dry weights in early July are significantly related with the yield; leaf and petiole dry weights in late July are significantly related with the yield; leaf and petiole dry weights in early August are extremely significantly related with the yield, dry weight per plant is significantly yet; dry weight per plant in the mid August is significantly related with the yield; pod dry weight in the mid August and the mid September are extremely significantly correlated with the yield; in mid September, dry weight per plant is significantly and stem dry weight is extremely significantly with the yield.