研究不同品种不同年份各施肥处理产量与SPAD氮素饱和指数的关系，以期为寒地玉米氮素诊断提供理论数据。本研究利用SPAD氮素饱和指数指导玉米中后期氮素诊断，以2018-2019年各处理SPAD氮素饱和指数和最佳产量数据为基础，建立模型，2020年实测SPAD氮素饱和指数进行验证应用。通过研究品种、处理和年份三因素互作SPAD氮素饱和指数差异，结果表明SPAD氮素饱和指数可以相互消除生育期间和品种间、品种间和年份间的差异。比较不同处理玉米产量的变异，确定最佳施肥产量处理为a2处理纯氮160kg/hm2 。通过多项式回归方程、指数回归方程、线性回归方程和对数回归方程的计算，得出多项式回归方程相关性最高R2 = 0.8669，方程为：y = 29.618X2-55.704X+27.13。

In order to provide theoretical data for maize nitrogen diagnosis in cold region, the relationship between SPAD nitrogen saturation index and yield of different fertilization treatments in different cultivars and years was studied.In this study, SPAD nitrogen saturation index was used to guide nitrogen diagnosis in the middle and late stage of maize. Based on SPAD nitrogen saturation index and optimal yield data of each treatment in 2018and 2019, a model was established, and the measured SPAD nitrogen saturation index in 2020 was used for verification and application.The results showed that the SPAD nitrogen saturation index could eliminate the differences between different growth periods and different varieties, and between different varieties and years.The variation of maize yield in different treatments was compared, and the optimal fertilizer yield treatment was a2 160kg/hm2.Through the calculation of polynomial regression equation, exponential regression equation, linear regression equation and logarithmic regression equation, the polynomial regression equation has the highest correlation R2 = 0.8669, and the equation is: Y = 29.618X2-55.704X+27.13.

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黑龙江省农业科学院院级科研项目(2020YYYF049)联合资助。