Based on the grey correlation analysis method, the chilling damage inducing factors and yield structure traits of rice in different growth stages, and the yield structure traits and final yield of rice were regarded as two grey systems. By seeking the grey relations of the grey systems and using the multi level grey correlation analysis method, the comprehensive assessment model of rice chil-ling damage was constructed, and the comprehensive assessment indices of chilling damages in sepa rate stages were established. The rice chilling damages at 27 stations in Northeast China from 1961 to 2015 were assessed separately. The results showed that there was a good corresponding relationship between the chilling damage and the rice yield. The low temperature during the vegetative growth stage, the vegetative growth and reproductive stage, the pollination stage or the grain filling stage significantly decreased the panicle number per plant, the average panicle grain number or the thousand kernel mass, and increased the empty grain rate. A good correspondence existed between temperature and rice yield in the typical chilling damage years.
基于灰色关联分析法，将水稻不同生育期的冷害致灾因子值和产量结构性状、水稻不同生育期的产量结构性状和最终产量分别视作两个灰色系统，通过寻找各个灰色系统的灰映射关系，建立基于多层次灰色关联分析法的水稻低温冷害综合评估模型；并构建了单站各生育期、全生育期的冷害综合评估指数和区域评估指数，对东北水稻主产区27个站1961—2015年水稻冷害进行分生育期评估.结果表明：水稻冷害影响程度与各生育期产量丰歉能够较好对应.营养生长期、营养和生殖生长并进期、授粉结实期或满浆期受到冷害影响时，株穗数、平均穗粒数或千粒重有一定减少，空壳率有所增加.典型冷害年温度与单站或区域产量丰歉有较好的对应关系.
Keywords: chilling damage; comprehensive assessment; grey relational analysis; northeast China; rice.