蓖麻器官间干物质分配的预测模型

Model for predicting dry matter distribution in castor

为实现蓖麻生长的数字模拟和预测,在前人研究基础上,构建了蓖麻器官间干物质分配的预测模型。用Richards方程来表达叶片、茎秆、根和蒴果的分配指数的变化动态。引入分配指数最大值作为遗传参数来区分不同品种的器官间干物质分配特性,对于通蓖5号、通蓖6号、通蓖9号和中东等4个品种的叶片、茎秆、根和蒴果,分别赋予了分配指数的最大值。引入氮肥影响因子来区分不同施肥水平的养分效应。不同地区的检验结果表明,蓖麻各器官干物重观测值与模拟值的绝对预测误差为0.64～19.34g,RMSE为1.01～11.43g。模型显示出较好的预测性。

Based on previous studies,predicting model on distribution of dry matter was constructed for castor. In the model,Richards function was used to express distribution index dynamic changes of leaves,stems,roots and capsule. The maximum distribution index was introduced to distinguish different genotype including Tongbi 5,Tongbi 6,Tongbi 9 and Zhongdong. The distribution index maximum value of leaves,stems,roots and capsule were given. The nitrogen fertilizer influence factor was introduced to distinguish different levels of nutrient effects.Test results showed that absolute prediction error of dry matter weight was 0. 64- 19. 34 g,and RMSE was 1. 01-11. 43,which demonstrated that this model could provide an acceptable prediction.