Investigation of Barley Productivity Responses to Different Water Consumption by Using the CERES-Barley Model

Cropping system models have evolved over the last four decades in response to demand for modeling to address more complex questions, including issues on sustainable production, climate change and environmental impact. The present study is about dynamic mechanistic model (CERES (Crop Environment RE source Synthesis)-Barley that was validated by predicting growth and yield of barley (Hordeum vulgare L.) under different water management conditions. My objective was analysis of barley responses to different water consume for optimizing of biomass and yield productivity. Evaluation of analysis showed that performance of the model was reasonable as indicated by close correspondence of simulated crop phenology, biomass accumulation and grain yield versus measured data. Growth parameters of barley in CERES-Barley were calibrated through field experiments, Karaj (Iran) 2010-2011. Genotypic variables determined for 5 commonly cultivars grown in Karaj. The performance of the models was evaluated using simulated and observed data on anthesis and maturity date, in-season LAI, final yield and its components. Grain yields simulated by model were acceptable when compared with experimental results. The determination coefficient in historical series varied from 0.83 to 0.99 for evaluation of CERES- Barley under normal irrigation. The accuracy of model simulation in dry matter was optimum in based on correlation coefficient 0.91-0.98. Also model acted well for biomass simulation in treatments. As biomass measured data generally have 10-20% error and treatments widely varied in two irrigation system. The objective of this study was determine, whether CERES-Barley model could be forecast yield and biomass in maturity under growing season and ecological management in Karaj.