摘要
利用不同类型品种的播期试验和氮肥试验对水稻干物质分配指数与发育进程及环境因子的动态关系进行了系统研究 ,并构建了以分配指数预测地上部各器官干物质分配动态的模拟模型。各器官干物质分配指数均为生理发育时间的函数 ,同时还受到基因型、播期及氮营养水平的调节。模型对不同影响因子的效应进行了较为充分的定量。采用水分亏缺因子和氮营养指数调节绿叶干重的增长。引入高温和低温效应因子及品种特定的遗传参数对穗干物质增长予以调节。利用与建模条件有较大差异的不同地点和品种类型的试验资料对模型进行了验证 ,表明模型具有较好的预测性和适应性。
The relationship between the partitioning indexes of organ dry matter and physiological development time and environmental factors were systematically studied with the experiment date of different sowing dates, nitrogen levels, genotypes, and a simulation model for shoot dry matter partitioning in rice was developed Partitioning index of green leaf, stem and panicle were the functions of physiological development time, which were also altered by genotype, sowing date and nitrogen nutrient level Effectiveness of various factors on dry matter partitioning was adequately quantified in the model Increase in dry weight of green leaves was regulated by the water deficit factor and the nitrogen nutrient index Factors of high and lower temperature and specific genetic parameter were introduced to regulate dry weight increase in panicle The model was tested using an independent data set and the results showed that the model could well predict the dynamic accumulation of dry matter in different organs under diverse conditions
出处
《作物学报》
CAS
CSCD
北大核心
2004年第4期376-381,共6页
Acta Agronomica Sinica
基金
国家自然科学基金重点项目 ( 3 0 0 3 0 0 90 )
国家 863计划项目 ( 2 0 0 1AA2 45 0 41)
关键词
水稻
地上部
干物质分配
动态模拟
播期
氮肥
产量
Rice
Partitioning index
Dry matter partitioning
Yield
Simulation model
