1. General Model Information

Name: Quick Basic - Maize

Acronym: QB-MAIZE

Main medium: air+terrestrial
Main subject: biogeochemistry
Organization level: ecosystem
Type of model: not specified
Main application:
Keywords: crop growth, maize, management

Contact:

Tom Sinclair
Crop Physiologist
USDA, ARS
SAA Plant Stress and Protection Research
University of Florida
Building 164
Agronomy and Physiology Building
Gainesville
FL 32611
Phone:
Fax : 904-374-5852
email:

Author(s):

CIESIN (CONSORTIUM FORINTERNATIONAL EARTH SCIENCE INFORMATION NETWORK) :A Model Data Needs Assessment Report CIESIN

Abstract:

QB-Maize (Quick Basic) is a simulation model similar to other crop growth models that model plant growth processes. With QB-Maize, an attempt has been made to simplify plant growth and development processes. The model was developed by Tom Sinclair at the ARS/University of Florida.

The model has several components:

input subroutines,
leaf growth,
carbon budget,
seed growth, and
water budget subroutines.

The model requires meteorological inputs consisting of daily maximum and minimum temperatures, precipitation and solar radiation. Agronomic input includes planting date and population data.

Model output includes leaf area index (LAI), evapotranspiration, dry matter and grain mass. The model uses a daily time step. It models plants at the plot scale. It is written in QB-Basic and can be run on any IBM compatible PC.

This model can be used for comparing its output against other crop growth models (such as CERES). It can also be linked to GCMs or any weather generator (e.g. WGEN) to examine the relationship between crop production and climate.

Author of the abstract:

CIESIN (CONSORTIUM FOR INTERNATIONAL EARTH SCIENCE INFORMATION NETWORK)

II. Technical Information

II.1 Executables:

Operating System(s): Any IBM compatible PC

II.2 Source-code:

Programming Language(s): QB-Basic

II.3 Manuals:

II.4 Data:

III. Mathematical Information

III.1 Mathematics

III.2 Quantities

III.2.1 Input

III.2.2 Output

IV. References

V. Further information in the World-Wide-Web

CIESIN Database

VI. Additional remarks

Global change implications:This model can be used for global changeresearch by comparing its output against other crop growth models(such as CERES). It can also be linked to GCMs or any weather generator(e.g. WGEN) to examine the relationship between crop productionand climate.

Last review of this document by: 28.Apr 1997 -
Status of the document:
last modified by Tobias Gabele Wed Aug 21 21:44:48 CEST 2002