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Application of EPIC model for irrigation scheduling of sunflower in Southern Italy
Affiliation:1. Great Lakes Fishery Commission, 2100 Commonwealth Blvd., Suite 100, Ann Arbor, MI, USA;2. African Center for Aquatic Research and Education, 2100 Commonwealth Blvd., Suite 100, Ann Arbor, MI, USA;1. Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, North Florida/South Georgia Veterans Health System, Gainesville, FL 32608, USA;2. Robley Rex VA Medical Center, Louisville, KY 40206, United States;3. Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL 32610, USA;4. McKnight Brain Institute, University of Florida, Gainesville, FL 32611, USA;5. Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, KY 40292, USA;6. Department of Neurological Surgery, University of Louisville, Louisville, KY 40292, USA;7. Department of Anatomical Sciences and Neurobiology, University of Louisville, Louisville, KY 40292, USA;8. Department of Bioengineering, University of Louisville, Louisville, KY 40292, USA
Abstract:A crop simulation model was used to optimize irrigation scheduling for sunflower grown in Southern Italy. The EPIC model, calibrated and validated in previous studies, was run for a 45-year simulation with climatic data measured daily, using 66 scenarios involving a combination of irrigation times (at five fixed data), seasonal irrigation amounts (from 0 to 200 mm) and irrigation frequency.The results obtained from the simulation indicate: (i) the superiority of single or double irrigation in the central phase (bud flower opening, flowering) for seed and biomass yield; (ii) the optimal value of seasonal irrigation water to be about 250–300 mm for the highest water use efficiency value; (iii) the highest profitability for the farmer achieved with a single irrigation of 200 mm at bud flower phase and a reduction of net income with irrigation at sowing or at seed ripening phases.The EPIC model, due to its sub-models (growth, weather, soil, management, water, erosion, economic, etc.), can be considered a useful tool for comparing several management strategies, and requires a minimum investment of time and money. This approach could be used at the farm level or on a larger scale.
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