1. General Model Information

Name: GOSSYM/COMAX - cotton growth model and expert system

Acronym: GOSSYM


Main medium: terrestrial
Main subject: biogeochemistry, agriculture
Organization level: ecosystem
Type of model: partial differential equations (2D), ordinary differential equations
Main application: decision support/expert system, research
Keywords: crop growth, cotton, expert system, management, fetilizer, irrigation, GIS

Contact:

Dr. James M. McKinion
USDA-ARS
Crop Simulation Research Unit
P. O. BOX 5367
Mississippi State, MS 39762
USA
Phone: 601-324-4375
Fax : 601-324-4371
email: mckinion@csrumsu.ars.ag.gov

Author(s):

USDA, Mississippi State University, Clemson University.

Abstract:

GOSSYM/COMAX is a cotton growth model and expert system. The model is a mechanistic model that simulates cotton growth given weather, soil and management practices.

Management options include fertilizer and irrigation strategies. Model data input requirements include soil moisture and bulk density for each soil horizon and weather data (including temperature, wind speed, solar radiation and humidity). Model output includes plant height, water stress/day, nitrogen stress/day, soil temperature and soil water potential. The model operates on daily time steps and calculates material balances for water and nitrogen.

Author of the abstract:
CIESIN (CONSORTIUM FOR INTERNATIONAL EARTH SCIENCE INFORMATION NETWORK) :


II. Technical Information

II.1 Executables:

Operating System(s):

II.2 Source-code:

Programming Language(s): FORTRAN

II.3 Manuals:



II.4 Data:

CLIMATE DATA CONVERSION AND DATA RETRIEVAL for Gossym

III. Mathematical Information


III.1 Mathematics


III.2 Quantities

Soil moisture, release curve, bulk density for each horizon for each

III.2.1 Input

Soil moisture, release curve, bulk density for each horizon for eachseries. Weather data. The model output data includes; plant height, solar radiation, max/min temperature,

III.2.2 Output

The model output data includes; plant height, solar radiation, max/min temperature,water stress data, rainfall, nitrogen stress data, stage maturity, and water content data.

Temporal Scale: The temporal scale depends on the frequency of input data.

Spatial Scale: The spatial scale is a two-dimensional soil matrix, 2 meters in depth.


IV. References

GOSYN-Clemson Experiment Station Bulletin 1089. December 1983.
McKinion, J.M., Baker, D.N., Whisler, F.D. and Lambert, J.R. 1989. Application of GOSSYM/COMAXsystem to cotton crop management. Agric. Sys. 31:55-65.
K.B. Watkins, Y.C. Lu, V.R. Reddy 1998, An economic evaluation of alternative pix application strategies for cotton production using GOSSYM/COMAX, Computers And Electronics In Agriculture (20)3 (1998) pp. 251
[abstract] | [Full text] (PDF 91 Kbytes)



V. Further information in the World-Wide-Web


VI. Additional remarks

Global change implications: The model has several implications forglobal change research. First, the model, along with the expert system COMAX,be used in conjunction with GCMs or WGEN toexamine the effects of changes in climate on cotton production. It has beenused by over 300 farmers to assess cotton production as influenced bymanagement, weather and soil characteristics.
Source : CIESIN Report
Last review of this document by: T. Gabele: 28. 10. 1998
Status of the document:
last modified by Tobias Gabele Wed Aug 21 21:44:44 CEST 2002

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