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.
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 chilling damage was constructed,and the comprehensive assessment indices of chilling damages in separate 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.
作者
杨霏云
张玉书
李文科
吕厚荃
罗蒋梅
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 National Meteorological Center, Beijing 100081, China ）.)
出处
《应用生态学报》
CAS
CSCD
北大核心
2017年第10期3281-3288,共8页
Chinese Journal of Applied Ecology
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~~
关键词
东北
水稻
低温冷害
灰色关联分析
综合评估
northeast China
rice
chilling damage
grey relational analysis
comprehensive assessment
作者简介
杨霏云，女，1972年生，硕士，副教授．主要从事农业气象灾害监测评估研究．E—mail：yangfy@cma．cn
通讯作者Corresponding author．E-mail：yushuzhang@126．com
