Transcript Corn Yield Comparison Between EPIC-View Simulated Yield And Observed Yield Monitor Data

Corn Yield Comparison Between
EPIC-View Simulated Yield And
Observed Yield Monitor Data
by
Chad M. Boshart
Oklahoma State University
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.
EPIC-View
Graphical User Interface
EPIC
(Environmental Policy
Integrated Climate)
ArcView GIS
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.
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 screen with EPIC data
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
Misc.
Daily
Weather
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
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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.
Study Area: Garfield County, OK
List of Attributes in Megasurface Table
Where the data came from?
Management Data
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Seed Rate Populations
Tillage Operations
Fertilizer Applications
Pesticide Applications
Irrigation
Pest Management
Yield / Harvest
Resource Data
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Hydrology
Soils Classification
Soil-Specific Parameters
Slope and Aspect
Fertility (Variability)
Etc...
Meteorological Data
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Precipitation
Soil Temperature
Air Temperature (min & max)
Humidity
Wind Speed and Direction
Regional Data
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County and City Boundaries
Public Land Survey
Digital Elevation Model
Generalized Soils
Yield Points
Yield Surface
Starting Up
Preferences and Attributes
Environmental Data
Parameters
More Preferences
Field Operations
Output
Estimated Yield Result
2000 and 2001 Yield Points
Estimated vs. 2000 Yield
Estimated vs. 2001 Yield
Slope
Soil Types
Soil type vs. Yield
Slope vs. Estimated Yield
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.
Questions???