1. Corn Yield Comparison Between EPIC-View Simulated Yield And Observed Yield Monitor Data by Chad M. Boshart Oklahoma State University

2. Objectives 1.Compile data to be used in model runs. 2.Calibrate EPIC-View simulated yield with observed yield results from 2000. 3.Validate EPIC-View by using the 2001 observed yield results.

3. EPIC-View EPIC (Environmental Policy Integrated Climate) ArcView GIS Graphical User Interface

4. EPIC formerly Erosion Productivity Impact Calculator Created in the early 1980’s by scientists at The Texas Agricultural Experiment Station Blackland Research Center in Temple, Texas. EPIC is a DOS based program designed to: Simulate biophysical processes simultaneously Simulate cropping systems for hundreds of years Applicable to a wide range of soils, climates and crops Efficient, convenient to use and capable of simulating management effects on soil erosion and productivity.

5. EPIC Components: Weather Hydrology Erosion Nutrient Cycling Pesticide Rate Soil Temperature Tillage Crop Growth Crop and Soil Management Economics

6. Applications Crop Productivity Soil Degradation Input Levels and Management Practices Response to Climates and Soils Climate Change (Williams, 1989)

7. UTIL screen with EPIC data

8. UTIL Universal Text Integration Language Data file editor that was developed to help users build datasets for large computer models and other data intensive programs. - Dumesnil 1993

9. Data Files (or dat) Data supplied by the user EPIC Crop Misc. Herbicide Pesticide Tillage Graphics Multi-Run Output Daily Weather

10. UTIL and Dat Data files have a specific format with a set range. The UTIL file organizes the user specified information from the Data files into one file to be used by EPIC-View.

11. ArcView Created by ESRI (Environmental Systems Research Institute) in 1992. Founded and owned by Jack and Laura Dangermond. Based out of Redlands, California. Gives ability to work with data geographically. Display maps from tables. Identify trends in the data. Easy to integrate data.

12. Study Area: Garfield County, OK

13. List of Attributes in Megasurface Table

14. Where the data came from?

15. Seed Rate Populations Tillage Operations Fertilizer Applications Pesticide Applications Irrigation Pest Management Yield / Harvest Management Data

16. Hydrology Soils Classification Soil-Specific Parameters Slope and Aspect Fertility (Variability) Etc... Resource Data

17. Precipitation Soil Temperature Air Temperature (min & max) Humidity Wind Speed and Direction Meteorological Data

18. County and City Boundaries Public Land Survey Digital Elevation Model Generalized Soils Regional Data

19. Yield Points

20. Yield Surface

21. Starting Up

22. Preferences and Attributes

23. Environmental Data

24. Parameters

25. More Preferences

26. Field Operations

27. Output

28. Estimated Yield Result

29. 2000 and 2001 Yield Points

30. Estimated vs. 2000 Yield

31. Estimated vs. 2001 Yield

32. Slope

33. Soil Types

34. Soil type vs. Yield

35. Slope vs. Estimated Yield

36. Conclusions Very little variability in the estimated yield. The results show that the estimated yield appears to be similar to slope and soil type. Could be improved upon by adding the soil nutrient levels.

37. Questions???