Week 1: Introduction to crop production system, Crop classification, Crop growth and development, Crop ecosystem and agroclimatic zones
Week 2: Crop growth factors and growth laws, Effect of climatic factors, Solar radiation interception concept for biomass accumulation and yield prediction, Growing Degree Days concept for growth duration and yield prediction
Week 3: Introduction to crop modeling and simulation, Decision support system (DSS), Types of crop model, Experiment and data requirement in crop model
Week 4: Crop simulation: Terminologies, Simulation approach, Objectives in modeling and simulation
Week 5: Concepts of crop modeling: Compartment model symbols, State variables working principle, Crop systems model for different production situations
Week 6: Potential production simulation: Input factors, duration and growth rate simulation, Yield formation
Week 7: DSSAT model: Introduction, application, crops involved, Modules, Biomass yield simulation in CERES model
Week 8: File system of DSSAT: Input file, File naming, Input data for model simulation, statistical technique for calibration and validation
Week 9: Application of models as risk management tools, Uncertainty and risk analysis, Climate Risk management (CRM), Support for crop insurance scheme
Week 10: Hands on DSSAT: Genotype coefficient estimation in CERES and other models, experimental data inputs, soil data inputs, weather data inputs, management data inputs
Week 11: Hands on Exercises: Evaluation of production management inputs (water, nutrients, soil, weather, etc.) and discussion of the results
Week 12: Group assignment presentation and discussion (Focus: Why crop modeling, Yield response, technology recommendation, CRM tools, etc.)
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