1. General Model Information

Name: LINTUL - Light INTerception and UtiLization simulator.

Acronym: LINTUL


Main medium: terrestrial
Main subject: agriculture
Organization level: population
Type of model: compartment model
Main application:
Keywords: crop, growth, light interception, light utilization, temperature-sum based

Contact:

Dr. M. van Oijen.
Wageningen Agricultural University, Dept. Theoretical Production Ecology, P.O.Box 430, 6700 AK Wageningen, THE NETHERLANDS.
Phone: +31.317.475861
Fax: +31.317.484892
email: marcel.vanoijen@staff.tpe.wau.nl

Author(s):

Abstract:

LINTUL is a simple general crop model, which simulates dry matter production as the result of light interception and utilization with a constant light use efficiency. Leaf area increase during the exponential phase is temperature-determined, and thereafter follows from dry matter allocation to leaves. Allocation functions depend on the temperature-sum. Leaf senescence also depends on the temperature-sum but is accelerated at overly high leaf area index. LINTUL simulates potential crop growth but extensions of the model dealing with drought, potato late blight and potato cyst nematodes have been developed already.

Purpose of the model:

Model parentage: None.

Source of the AbstractCAMASE Register of Agro-ecosystems Models


II. Technical Information

II.1 Executables:

Operating System(s): Any computer that runs CSMP or similar language. Contract necessary: Costs: : Dfl. 70,=. Comments:

II.2 Source-code:

Programming Language(s): CSMP (but only few language-specific constructions).

II.3 Manuals:



II.4 Data:



III. Mathematical Information


III.1 Mathematics


III.2 Quantities

Rate variables: Development, leaf area growth and senescence, dry matter production and partitioning to leaves, stems, roots and storage organs.

State variables: Temperature sum, leaf area, dry matter of leaves, stems, roots and storage organs.

III.2.1 Input

2 Crop husbandry parameters, 9 crop specific parameters, 3 dry matter partitioning functions, 2 weather time courses. Input check in model: No.

III.2.2 Output

Any variable required.
Basic spatial unit: Field.
Time interval of simulation: 1 day.

IV. References


Oijen, M. van, 1992. Evaluation of breeding strategies for resistance and tolerance to late blight in potato by means of simulation. Netherland Journal of Plant Pathology 98: 3-11
Oijen, M. van, F.J. de Ruijter & R.J.F. van Haren, 1995. Modelling the interaction between potato crops and cyst nematodes. In: Haverkort, A.J. & D.K.L. MacKerrow (Eds.). Potato ecology and modelling of crops under conditions limiting growth. Kluwer, Dordrecht. 185-196
Spitters, C.J.T. & A.H.C.M. Schapendonk, 1990. Evaluation of breeding strategies for drought tolerance in potato by means of crop growth simulation. Plant and Soil 123: 193-203



V. Further information in the World-Wide-Web


VI. Additional remarks

Parentage: None.
Last review of this document by:
Status of the document:
last modified by Joachim Benz Mon Jul 2 18:31:37 CEST 2007

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