1. General Model Information

Name: CP-BKF3 - Cultures Pluviales - Burkina Faso.

Acronym: CP_BKF

Main medium: terrestrial
Main subject: agriculture
Organization level: ecosystem, population
Type of model: ordinary differential equations, partial differential equations
Main application:
Keywords: crop science, soil science, farming systems


Ir. R.E.E. Jongschaap.
Research Institute for Agrobiology and Soil Fertility (AB-DLO), Dept. Agrosystems Research, P.O.Box 129, 9750 AC Haren (Gr.), THE NETHERLANDS.
Phone: +31.50.5337314
Fax: +31.50.5337291
email: r.e.e.jongschaap@ab.dlo.nl


Verberne, E.L.J., G.H. Dijksterhuis, R.E.E. Jongschaap, M.H. Bazi, A.A. Sanou & M. Bonzi,


CP-BKF is a dynamic simulation model developed by the DLO Research Institute for Agrobiology and Soil Fertility (AB-DLO). The model has been developed for the simulation of cereal growth (sorghum, millet and maize) under semi-arid conditions in West-Africa (Burkina Faso and Mali). CP-BKF3 is based on mechanistic relations between crop performance and environmental conditions such as climate and soil. Several modules of the TTUTIL* library for FORTRAN are used. The model handles cereal growth at three levels: 1) not limited, 2) water limited and 3) water and nitrogen limited. It simulates dry matter production and partitioning in a pest-, disease- and weed-free environment. The water module is based on tipping-bucket principles extended with water redistribution by capillary rise. Soil horizons to a depth of 50 cm are partitioned in layers of 5 cm, deeper ones in layers of 25 cm. Residues are partitioned in 3 fractions: decomposable, structural and resistant material, and soil organic matter in 2 fractions: stable and labile organic matter. Other processes account for emergence, evapo(transpi)ration, maintenance, root distribution and extension, development and death of plant organs, N fertilization, N uptake, N mineralization and immobilization, N leaching, run off, and drainage. Management practices include fertilization (type, quantity and split dose), ploughing and the construction of borders and ridges to increase water storage. The model has a user-friendly interface which allows parameter change in rerun files and scenario studies over a continued or discontinued period of 15 years. Rotation of crops is an option in rerun files.

Purpose of the model:

Model parentage: CP-BKF2 and CP-BKF1.

Source of the AbstractCAMASE Register of Agro-ecosystems Models

II. Technical Information

II.1 Executables:

Operating System(s): >= 386 DX and co-processor. Contract necessary: Costs: : Dfl. 270,=. Comments:

II.2 Source-code:

Programming Language(s): Microsoft FORTRAN-77.

II.3 Manuals:

Bazi, M.H., A.A. Sanou, E.L.J. Verberne, R.E.E. Jongschaap, G.H. Dijksterhuis & M. Bonzi, 1995. Manuel du logiciel interactif (CP-BKF3): sorgho, mil et mais. AB-DLO Nota 20. 29 pp.
Technical reference:

II.4 Data:

III. Mathematical Information

III.1 Mathematics

III.2 Quantities

Rate variables: Soil: per layer: percolation, capillary rise, N uptake, N leaching, evaporation, transpiration, root extension, mineralization and more. Crop: per organ: N demand, death and growth rates; assimilation; N flux through root surface and more.

State variables: Weather: daily (effective) rainfall, daily temperature. Soil: per layer: water content, matric potential, evaporation, root length and density, N content, organic matter content, N mineralization and immobilization, soil temperature; drainage; N leaching and more. Crop: per organ: living and dead dry matter, N content, N uptake, leaf area index, transpiration, rooting depth, specific root length and surface, dry matter for maintenance and more.

III.2.1 Input

Weather: year, Julian day number, daily minimum and maximum temperature, precipitation, global radiation, vapour pressure and wind speed. Soil: type, physiographic position, slope, total mineral N in profile. Per horizon: texture class, % C, % N, bulk density, pF (4.2, 3.0, 2.5). Crop: development rates, leaf life span, initial biomass, row spacing, sowing depth, critical pF for emergence, maximal rooting depth and others. Input check in model: Yes: on weather data, Julian day numbers, latitude and others. Warnings and error messages appear on the screen.

III.2.2 Output

The graphic part of the model shows 3 graphs during simulation in which many state and rate variables (> 50) can be followed (also underground !). During simulation the same or other requested variables are sent to tables in output files. TTSELECT* enables the examination of results in graphic mode.
Basic spatial unit: 1 ha.
Time interval of simulation: Calculation and integration take place in time steps of 1 day. Output can be generated every 1-365 days. Output is generated at emergence, flowering, harvest and end of year.

IV. References

Verberne, E.L.J., G.H. Dijksterhuis, R.E.E. Jongschaap, M.H. Bazi, A.A. Sanou & M. Bonzi, 1995. Simulation des cultures pluviales au Burkina Faso (CPBKF3): sorgho, mil et mais. AB-DLO Nota 18. 53 pp. + annexes.
Bazi, M.H., E.L.J. Verberne, G.H. Dijksterhuis & A.A. Sanou, 1995. Les modeles de simulation comme outils de gestion des sols et de developpement agricole: exemple du modele << Cultures Pluviales du Burkina Faso >>. AB-DLO Rapport PSS No. 11. 53-66

Bazi, M.H., A.A. Sanou, E.L.J. Verberne, R.E.E. Jongschaap, G.H. Dijksterhuis & M. Bonzi, 1995. Manuel du logiciel interactif (CP-BKF3): sorgho, mil et mais. AB-DLO

V. Further information in the World-Wide-Web

VI. Additional remarks

Parentage: CP-BKF2 and CP-BKF1.
Last review of this document by: T. Gabele: Tue Oct 7 1997
Status of the document:
last modified by Joachim Benz Mon Jul 2 18:31:37 CEST 2007

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