Agronomy Journal Grow Your Career With ASA
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online 1 September 1994
Published in Agron J 86:860-868 (1994)
© 1994 American Society of Agronomy
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Thornton, P. K.
Right arrow Articles by Hoogenboom, G.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Thornton, P. K.
Right arrow Articles by Hoogenboom, G.
Agricola
Right arrow Articles by Thornton, P. K.
Right arrow Articles by Hoogenboom, G.

A Computer Program to Analyze Single-Season Crop Model Outputs

Philip K. Thornton and Gerrit Hoogenboom*

Res. and Development Div., Int. Fertilizer DevelopmentCtr., P.O. Box 2040, Muscle Shoals, AL 3566
Dep. of Biological and Agric. Engineering, Georgia Stn., Univ. of Georgia, Griffin, GA 30223

* Corresponding author (Email: ghoogen{at}gaes.griffin.peachnet.edu).

Computer simulation models of the growth, development, and yield of annual crops can produce large quantities of data, especially if a simulation experiment involves many treatments and replications across different years. Computer software was written to perform simple analyses of such experiments, allowing the user to identify those treatments that are productive, stable, economically attractive, environmentally sound, or otherwise suitable for the purposes of the investigator. The computer program, which runs on a DOS (IBM-compatible) personal computer, can interface with output files produced by any crop model run on any other computer that conforms to a common output file structure. Summary statistics for a wide variety of model output variables are calculated and presented to the user in a number of tabular and graphical forms. Net monetary returns and gross margins can also be calculated, and price-cost variability can be taken into account in the analysis. The user can perform an economic comparison of simulation treatments using mean-Gini stochastic dominance or, visually, meanvariance analysis. The results of all calculations and analyses are written to an output file that can be manipulated by the user to provide input to a spreadsheet or statistical package for further analysis of the simulated data. The program allows rapid, preliminary analysis of treatments from replicated simulation experiments and can help the user to identify particularly promising treatments that warrant further evaluation.

Received for publication September 3, 1993.


This article has been cited by other articles:


Home page
Agron. J.Home page
M. Bannayan, N. M. J. Crout, and G. Hoogenboom
Application of the CERES-Wheat Model for Within-Season Prediction of Winter Wheat Yield in the United Kingdom
Agron. J., January 1, 2003; 95(1): 114 - 125.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
D. C. Nielsen, L. Ma, L. R. Ahuja, and G. Hoogenboom
Simulating Soybean Water Stress Effects with RZWQM and CROPGRO Models
Agron. J., November 1, 2002; 94(6): 1234 - 1243.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
B. Acock, Y. A. Pachepsky, E. V. Mironenko, F. D. Whisler, and V. R. Reddy
Guics: A generic user interface for on-farm crop simulations
Agron. J., July 1, 1999; 91(4): 657 - 665.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Crop Science Vadose Zone Journal
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 1994 by the American Society of Agronomy.