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The performance of surface irrigation systems highly depends upon the design process because it relates to the appropriateness and precision of land leveling, field shape and dimensions, infiltration and inflow rates. However, the irrigation performance also depends on the farmer management, mainly in relation to land leveling maintenance, timeliness and application depth of every irrigation event, and his capability to overcome difficulties in supply such as uncertainty of deliveries and scheduling constraints. Adopting a DSS methodology for both design and irrigation management could help making the best decisions for systems design and operation. The DSS software SADREG has been developed mainly to support surface irrigation design, and has been tested for design in several countries and for different irrigation methods and practices. Currently is being improved to support systems management, enabling farmers advice in short term decisions. For management purposes, the model considers a fixed schedule (rigid water delivery scheme) or a dynamic one, where the irrigation dates and amounts are flexible, being updated by using the irrigation scheduling model ISAREG. For each irrigation event, SADREG simulates several alternatives that satisfy the imposed constraints, and computes the application time, inflow-rate, irrigation unit size, tail water management and the correspondent performance indicators. Also estimates the yield impacts due to over- or under-irrigation, and selects the best management according decision-maker priorities. This paper describes the DSS SADREG and its application to a case study in Fergana, Uzbekistan, illustrating the usefulness of this tool for water saving and environmentally friend issues.