Abstract
Abstract
This study quantified Impact of Controlled Weir-Based Irrigation and Farmer Practices on Groundnut Productivity in the Gezira SchemeGroundnut (Arachis hypogaea L.) yield and Water Productivity (WP) within the Gezira Scheme. The methodology involved collecting detailed field data over two consecutive seasons (2021/2022 and 2022/2023) from 24 farms 12 per each season, including direct measurement of irrigation water volumes using weirs. Data analysis was conducted using a Multiple Linear Regression (MLR) model incorporating 24 independent variables for questioner conducted also verifying 60 famers from different blocks of Gezira Scheme. The result of the model demonstrated strong explanatory power, with an R² of 0.724, indicating that 72.4% of yield variation is attributable to controllable farmer practices. Key findings revealed that the strongest positive causal factors were Recommended Fertilization (ß= +625.8), and Improved Seed Variety (ß= +512.7). Conversely, the most severe negative constraint was Delay in Sowing Date (ß = -423.1). Field measurements corroborated this variability, showing a stark WP range from 0.217 kg/m³ to 1.556 kg/m³ across farms. The study concludes that enhancing WP necessitates a dual intervention: boosting yield potential via high-quality inputs and strictly enforcing water timing based on optimal schedules derived from CropWat modeling.