Data on rice, okra, cucumber, tomato, and green bean yields, system rice equivalent yield, water use, water productivity, benefits, and benefit-cost ratio under different irrigation scheduling across two sites over two years.

This dataset contains field experimental data from lowland rice-based systems in West Africa, specifically at two sites (Loka and Mbe), evaluating the integration of off-season vegetable and legume crops under different irrigation regimes over two cropping years (2020 and 2021). 1. Study Design and Scope Sites: Loka and Mbe experimental stations Years: Two production years (2020 and 2021), represented as Year1 and Year2 Main system: Rice-based cropping systems with off-season diversification Off-season crops: Cucumber, Green bean, Okra, Tomato Irrigation treatments: Four irrigation schedules (Ir1, Ir2, Ir3, Ir4) Replication: Four field replications (R1–R4) 2. Key Variables Measured The dataset integrates agronomic, economic, and water productivity indicators at system level: · Site, crop, irrigation, replication, and year identifiers (categorical variables defining experimental structure) · Wet yield (t/ha): Yield of off-season crop under irrigation · System rice equivalent yield (t/ha): Combined productivity of rice-based system standardized into rice equivalent · System benefit (USD/ha): Economic return from the integrated system · System benefit-cost ratio: Economic efficiency indicator of the system · Off-season contribution to system benefit (%): Share of off-season crops in total system profitability (can be positive or negative) · Water amount (mm): Total irrigation water applied per treatment · System water use efficiency (kg/m³/ha): Efficiency of water use in producing system yield 3. Experimental Purpose The dataset is designed to evaluate: · The performance of different irrigation scheduling strategies in diversified rice-based systems · Productivity gains from integrating vegetables and legumes into rice systems · Economic profitability and benefit–cost trade-offs of system diversification · Water productivity and irrigation efficiency under climate-smart agriculture practices 4. Analytical Potential This dataset supports analyses such as: · Comparison of irrigation strategies across crops and sites · Trade-offs between yield, profit, and water use efficiency · Climate-resilient agricultural system optimization · Modeling of rice-based system intensification with off-season diversification 5. Overall Structure The data is a multi-factorial field experiment dataset structured by: Site × Year × Crop × Irrigation × Replication It combines agronomic performance, economic outcomes, and water-use indicators, making it suitable for integrated sustainability and climate-smart agriculture assessments.