The system dynamics approach was conducted to optimize genotype patterns in various climatic and water availability scenarios, to address the water productivity improvement of the Sefidrood irrigation network. The studied cropping pattern scenarios were SD1 (the continuation of current trends), SD2 (the reduction in the cultivated area), SD3 (replacing modified crops on an annual basis), and SD4 (increasing the annual cultivated area of Hashemi type rice). Moreover, the impacts of irrigation efficiency improvements and water resources management strategies on the physical and economic water productivity indices were studied. The results indicated that the SD3 scenario has the most positive impact on water productivity with 0.45 kg/m³ increases. However, a questionnaire survey revealed that this scenario that belongs to the increase in the modified genotype area cannot be recommended due to cooking quality and low prices. The Hashemi genotype was the favorite rice among farmers and experts. Also, analyzing the irrigation efficiency improvement scenario showed that this strategy has a limited impact on the physical and economic water productivity. Increasing the capacity of local rainwater storage pools, Ab-bandans, and increasing the drainage water reuse had the highest water productivity in the condition of river water reduction and uncertain water availability.

采用系统动力学方法来优化各种气候和水资源可用性情景中的基因型模式，以解决 Sefidrood 灌溉网络的用水生产力提高问题。研究的种植模式情景为 SD1 （当前趋势的延续）、SD2 （耕地面积减少）、SD3 （每年更换转基因作物）和 SD4 （增加哈希米型水稻的年耕地面积）。此外，还研究了灌溉效率提高和水资源管理策略对物理和经济水生产力指数的影响。结果表明，SD3 情景对水生产力的影响最为积极，增加了 0.45 kg/m³。然而，一项问卷调查显示，由于烹饪质量和低廉的价格，这种属于修饰基因型领域增加的情况不能推荐。哈希米基因型是农民和专家最喜欢的稻米。此外，对灌溉效率提高情景的分析表明，这种策略对物理和经济用水生产力的影响有限。在河流用水减少和可用水量不确定的情况下，增加当地雨水储存池 Ab-bandans 的容量和增加排水再利用具有最高的水生产力。