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在连续观测和定量分析的基础上,采用单株叶面积最大值作为品种遗传参数,用两段非线性方程构建了大麦叶面积指数随生理发育时间(Physiological development time,PDT)变化的动态模型.模型将经验性和机理性有机结合,考虑了温度和氮素营养对叶片生长的影响,较好的解决了两段非线性方程的衔接问题;不同品种、氮肥处理、播期以及种植地域间检验结果表明,叶面积指数模拟值与观测值的绝对预测误差为0.007～1.486,RMSE为0.109～0.718.
On the basis of continuous observation and quantitative analysis, the maximum value of leaf area per plant was used as the genetic parameter of a variety of cultivars, and the dynamic model of barley leaf area index with the change of PDT was constructed by two-stage nonlinear equation. The model combines empirically and mechanisticly, considers the effects of temperature and nitrogen nutrition on leaf growth, and solves the problem of convergence of two nonlinear equations. The results of different varieties, nitrogen fertilization, sowing dates and planting areas The results showed that the absolute prediction error between the simulated and observed leaf area index was 0.007-1.486 and the RMSE was 0.109-0.718.