基于生长过程的水稻阶段发育与物候期模拟模型

 以水稻发育生理生态过程为基础 ,采用生理发育时间作为定量发育进程的尺度 ,构建了预测水稻顶端发育阶段与物候期的模拟模型。每日热效应、光周期效应及品种的基本早熟性 (抽穗前 )或基本灌浆期因子 (抽穗后 )互作共同决定每日生理效应的大小 ,其累积形成每日的生理发育时间。每日热效应和光周期效应分别选用Beta函数和二次曲线函数来描述 ,并引入 5个遗传参数调节水稻发育的遗传差异 ,使不同类型品种到达特定发育阶段所需的生理发育时间保持恒定。利用不同环境下的播期试验数据对不同类型品种的出苗期、穗分化期、抽穗期和成熟期进行了预测检验。不同类型品种 4个生育期的预测误差RMSE (根均方差 )平均分别为 1.4 7、5 .10、4 .5 8和3.37d ,表明模型不仅具有较强的解释性与系统性 ,且具有较好的预测性和实用性

A Process-based Model for Simulating Phasic Development and Phenology in Rice

A simulation model for phasic development and phenology in rice was developed using the scale of physiological development time, based on the ecophysiological development processes. The interaction of daily thermal effectiveness, photoperiodical effectiveness and intrinsic earliness (before heading) or basic filling duration factor (after heading) determine the daily physiological effectiveness, which accumulated to get physiological development time. The Beta and quadratic functions were used to describe daily thermal and photoperiodical effectiveness, respectively. Five specific genetic parameters were added to adjust the genotypic differences in rice development so that all different varieties could reach the same physiological development time at a given development stage. The stages of emergence, panicle initiation, heading and maturity were validated using the data of sowing dates under different ecological environments, with the RMSE of 1.47, 5.10, 4.58 and 3.37 days, respectively. The result showed that the model was not only explanatory and systematic but also accurate and applicable.