水稻栽培模拟优化决策系统(RCSODS)在N胁迫条件下的应用

Application of Rice Cultivational Simulation-Optimization-Decision Making System(RCSODS)to Rice Growth and Yield Formation under N Stress Condition

通过构建施N量模块与土壤供N量模块 ,对水稻模拟优化决策系统 (RCSODS)中的群体光合生产模型进行了N素因子订正 ,使之具有更强的普适性。检验结果表明 :订正后的群体光合生产模型能较好地模拟N胁迫条件下水稻的生长与产量形成。该模型与水稻高产栽培的优化指标相结合 。

By developing the effect models of N fertilizer application and nitrogen from soil on photosynthesis, the photosynthetic product model of Rice Cultivational Simulation-Optimization-Decision making System (RCSODS) was improved and perfected.The improved model could simulate rice growth and yield formation under N stress rationally. Furthermore, combined with the optimal indices of rice canopy, RCSODS could be more applicable for optimal strategies of N application and informationization management for rice production.