Yang Fei Yun, Zhang Yu Shu, Li Wen Ke, Lyu Hou Quan, Luo Jiang Mei
China Meteorological Administration Training Centre, Beijing 100081, China.
Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China.
Ying Yong Sheng Tai Xue Bao. 2017 Oct;28(10):3281-3288. doi: 10.13287/j.1001-9332.201710.021.
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.
基于灰色关联分析方法，将水稻不同生育阶段的冷害诱导因子与产量结构性状、以及水稻的产量结构性状与最终产量视为两个灰色系统。通过探寻灰色系统的灰色关联度，并运用多层次灰色关联分析方法，构建了水稻冷害综合评价模型，确立了各生育阶段冷害的综合评价指标。对1961—2015年中国东北地区27个站点的水稻冷害进行了单独评价。结果表明，冷害与水稻产量之间存在良好的对应关系。营养生长阶段、营养生长与生殖生长阶段、授粉阶段或灌浆阶段的低温显著降低了单株穗数、平均穗粒数或千粒重，并提高了空粒率。在典型冷害年份，温度与水稻产量之间存在良好的对应关系。
