1. General Model Information

Name: Grapewine growth model, Vimo

Acronym: VIMO


Main medium: terrestrial
Main subject: biogeochemistry, agriculture
Organization level: organism, population
Type of model: ordinary differential equations
Main application:
Keywords: grape, crop, growth, photosynthesis, degree-day, nitrogen allocation

Contact:

Dr. A. P. Gutierrez
University of California, Berkeley
Division of Biological Control
Albany, CA 94706
USA

Phone: +1 415-642-9186
Fax :
email: carpdiem@nature.berkeley.edu

Author(s):

Wermelinger, B., Baumgartner, J., and A. P. Gutierrez

Abstract:

VIMO is a dynamic crop model for dry matter (DM), and nitrogen (N) assimilation and allocation basing on the metabolic-pool model.
Photosynthesis and N uptake from the soil are functional response models and are sink-driven. Growth occurs per degree-day above developmental threshold of grapewine. The plant subunits, i.e., the annual populations of fruits, leaves, shoots and roots developing on a perennial frame are age-structured and have distributed developmental times. Their dynamics simulated as a time-invariant distributed delay process with attrition. The seasonal N dynamics is the net result of the processes of new tissue formation with high N concentrations and the degree-day-driven export of N from ageing parts to reserves.

Model purpose
The model forms a basis for analysis in the vineyard ecosystem. It is designed as a research tool for explorative studies in multitrophic systems and can be connected to other models such as insect herbivore models.

Source of the Abstract:
Joergensen S.E., B. Halling-Soerensen and S.N Nielsen (Edts.) 1996: Handbook of Environmental and Ecological Modelling. CRC Press Boca Raton et al. 672 pp.


II. Technical Information

II.1 Executables:

Operating System(s): DOS

II.2 Source-code:

Programming Language(s): Turbo Pascal

II.3 Manuals:



II.4 Data:



III. Mathematical Information


III.1 Mathematics


III.2 Quantities

State variables: fruits, leaves, shoots, roots, perennial frame, reserves.
cing functions (independent variable: age of individual): photosynthetic efficiency of leaves, area/DM ratio of leaves, DM and N demand of grape berries. Daily driving variables: solar radiation, minimum and maximum temperature.
Important

III.2.1 Input

Daily driving variables: solar radiation, minimum and maximum temperature.
Important parameters: longevity of annual plant subunits, potential leaf growth rate, N translocation rates.
Necessary input: initial condition of grapevine in terms of subunit DM and N content, variety and training specific plant characteristics, soil N. (See state variables)

III.2.2 Output

(See state variables)

IV. References

Wermelinger, B., Baumgartner, J., and Gutierrez, A.P., 1991. A demographic model of assimilation and allocation of carbon and nitrogen in grapevines. Ecol. Modelling 53: 1-26.

Wermelinger, B., and Baumgertner, J., 1990. Application of a demographic crop growth model: an explorative study on the influence of nitrogen on grapevine performance. Acta Hort., 276: 113-121.

Wermelinger, B., 1991. Nitrogen dynamics in grapevine: physiology and modelling. In: Proceedings of the Inernational Symposium on Nitrogen in Grapes and Wine, Seattle WA, USA (J.M. Rantz, Ed.). American Society for Enology and Viticulture, Davis CA, USA, pp. 23-31.

Wermelinger, B. Candolfi, M.P., and Baumgartner, J., 1992. A model of the European red mite (Acari, Tetranychidae) population dynamics and its linkage to grapevine growth and development. J. Appl. Entomol., 114: 155-166.



V. Further information in the World-Wide-Web



VI. Additional remarks


Last review of this document by: T. Gabele: 28. 09. 1997 -
Status of the document:
last modified by Tobias Gabele Wed Aug 21 21:44:52 CEST 2002

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