Evaluating optimal irrigation for potential yield and economic performance of major crops in southwestern Kansas

The Decision Support System for Agrotechnology Transfer – Cropping Model was used with an objective to evaluate maize (Zea mays L.), winter wheat (Triticum aestivum L.) and grain sorghum (Sorghum bicolor L. Moench) yield, crop water productivity (CWP) return after variable cost (RAVC) under different combinations of irrigation interval/capacity plant available soil (PASW) thresholds on three types in southwestern Kansas. Maize, yields were maximized capacity 4.2–6.3, 3.1–4.2 2.5–3.1 mm/d, respectively. lowest highest values the range corresponded silt loam fine sand soils, For maize, maximum RAVC ($630–710/ha) CWP (25–27 kg/ha/mm) achieved a relatively shorter interval (25 mm/4–8 d). not substantially affected by interval. ranged from $150 $200/ha $310 $370/ha, peaked at mm/6–8 d), whereas, high simulated even longer mm/26 Overall, sorghum, strategy attaining higher is yield. Whereas, yield same as that RAVC. This study guides producers identify prioritize most suitable optimizing and/or income while enhancing sustainability environment management ground water. present work assumes all factors except are optimal findings sensitive dynamics price changes, levels variations climate.