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本文是在省内不同气候、土壤肥力地区所做的区域性大豆自然生产力试验的基础上,采用二次正交旋转回归设计和双重组合设计方法,建立了黑龙江省大豆自然生产力模型,研究了影响自然生产力的环境因素——积温、降水和土壤有机质的变化及其交互作用对大豆产量的影响程度.同时,运用模型对区域性自然生产力和不同气候年进行了大豆产量的预测.
Based on the experiments of regional natural productivity of soybean in different climates and soil fertility areas in the province, quadratic orthogonal rotation regression design and double combination design method were used to establish the soybean natural productivity model in Heilongjiang Province. Environmental Factors of Natural Productivity - Accumulation of Temperature, Precipitation, Changes of Soil Organic Matter and Interaction between Soybean Production and Yields of Soybeans at the Same Time, the model was used to predict the soybean production in regional natural productivity and climate year.