Research On The Impact Of Meteorological Condition On Winter Wheat In Sanyuan

Climate change has impacts on agricultural crops in terms of physiology, ecology, growth and distribution, and further on their outputs. In this paper,basic meteorological data,the use of sanyuan nearly 30 years of agricultural meteorological data and winter wheat yield data. analyses and evaluates climate change in Sanyuan, and their impacts on winter wheat. Correlation analysis and regression analysis is adopted to study the Climate Suitability(CS) in nearly 30 years in Sanyuan for winter wheat, the characteristics of winter wheat GS and the characteristics of major PP changes,the heat, sunshine and water on winter wheat in nearly 30 years. Main results are as follows:1. For nearly 30 years,significant rise of CS for winter wheat growth in both South and North, statistically 0.018/10 a and 0.035/10 a. With regard to the meteorological elements,temperature suitability has a moderate rising trend, while precipitation suitability and sunshine suitability rise evidently, which is good for the production of winter wheat in the county.2. The climate within the winter wheat GS in South and North nearly 30 years keeps changing towards higher temperature, less precipitation and more sunshine which means increasingly warm and dry. Three PPs including sowing, overwintering and reviving see obvious delay trend, and two PPs, i.e. heading and maturation see obvious advance trend. Correlation analysis shows that temperature has the major influence on the time of winter wheat PPs in Sanyuan in all meteorological elements, while the precipitation has the least.3. The effects of temperature, precipitation and sunshine on the yield of winter wheat in Sanyuan are analyzed. As can be seen from the temperature integral regression a(t) curve:negative effects with higher values appear in two periods, i.e. seedling-tillering and jointingheading, and positive effect a(t) maximum is 5.7. Positive/negative effect of sunshine on winter wheat GS in Sanyuan is not very obvious. As shown in the mean precipitation integral regression a(t) curve, precipitation a(t) effect is more significant in North, thus a(t) value is positive. In this regard, timely irrigation in winter is an important measure to increase yield.4. The natural amount of sunshine temperature and water in Sanyuan is within certain range,especially sunshine hours and temperature which is hard to change. However, the amount of watercould be increased manually. This paper makes use of the existing experiments in North that lacks water, and adopts sampling statistics to extract probability density function, which optimizes the mix ratio, saves the reservoir water and improves the yield of winter wheat.