Corn Yield Comparison BetweenEPIC-View Simulated Yield AndObserved Yield Monitor DatabyChad M. BoshartOklahoma State University
Objectives • Compile data to be used in model runs. • Calibrate EPIC-View simulated yield with observed yield results from 2000. • Validate EPIC-View by using the 2001 observed yield results.
EPIC-View Graphical User Interface EPIC (Environmental Policy Integrated Climate) ArcView GIS
EPICformerly 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.
EPIC Components: Weather Hydrology Erosion Nutrient Cycling Pesticide Rate Soil Temperature Tillage Crop Growth Crop and Soil Management Economics
Applications • Crop Productivity • Soil Degradation • Input Levels and Management Practices • Response to Climates and Soils • Climate Change • (Williams, 1989)
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
Data Files (or dat) Data supplied by the user Crop Graphics Tillage Multi-Run Pesticide EPIC Output Herbicide Daily Weather Misc.
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.
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.
Management Data • Seed Rate Populations • Tillage Operations • Fertilizer Applications • Pesticide Applications • Irrigation • Pest Management • Yield / Harvest
Resource Data • Hydrology • Soils Classification • Soil-Specific Parameters • Slope and Aspect • Fertility (Variability) • Etc...
Meteorological Data • Precipitation • Soil Temperature • Air Temperature (min & max) • Humidity • Wind Speed and Direction
Regional Data • County and City Boundaries • Public Land Survey • Digital Elevation Model • Generalized Soils
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.