水稻低温冷害综合评估方法

发布时间：2018-05-15 10:40

本文选题：东北 + 水稻　；参考：《应用生态学报》2017年10期

【摘要】：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.
[Abstract]:Based on grey relational analysis, the values of chilling disaster factors and yield structure characters of rice at different growth stages, yield structure traits and final yield of rice at different growth stages were regarded as two grey systems, respectively. By searching for the grey mapping relation of each grey system, the comprehensive evaluation model of low temperature chilling damage of rice based on multi-level grey relational analysis was established, and the comprehensive assessment index and regional assessment index of chilling damage in each growth period and the whole growth period of single station were constructed. Rice chilling injury was evaluated in 27 stations in Northeast China from 1961 to 2015. The results showed that the effect of chilling injury on rice was better than that of yield at different growth stages. In the vegetative growth period, vegetative and reproductive growth stage, pollination stage or full pulp stage, the number of panicles, the average number of kernels per ear or the weight of 1000 kernels per ear were decreased, and the rate of empty shell increased. The annual temperature of typical chilling injury has a good correspondence with the single station or regional yield.
【作者单位】：中国气象局气象干部培训学院;中国气象局沈阳大气环境研究所;国家气象中心;
【基金】：辽宁省科技厅农业攻关及成果产业化项目(2014210003) 气象行业专项(GYHY201106021)资助~~
【分类号】：S426;S511

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