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What Are Crop Simulation Models?
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Agricultural production managers, natural resource managers, and strategic decision makers require accurate, timely, and cost-effective information to maintain a quality food and fiber supply for the nation and the world. The Adaptive Cropping Systems Laboratory conducts research to develop crop simulators for predicting growth, development, and yield of agricultural crops exploring Genotype, Environment and Management (G x E x M) interactions.


Graphic displays different phases of plant growth:  emergence, tillering, stem elongation, heading/flowering and ripening. It lists model inputs (Meteorological Variables, Soil Properties, Cultivar Parameters and Management); model processes (Phenological Development, Light Interception and Utilization, Growth Allocation to Crop Organs, Root Distribution, Soil Water & Nutrients Dynamics, Evapotranspiration, Environmental Stresses and Effects of Elevated CO2), and key model outputs (Crop Yield and Soil Properties).

Why Are Our Models Unique?