1. General Model Information

Name: An ecophysiological model for irrigated rice production

Acronym: ORYZA1


Main medium: terrestrial
Main subject: agriculture, biogeochemistry
Organization level: ecosystem
Type of model: compartment model
Main application:
Keywords: crop growth, rice, ecophysiology, production, irrigation, daily calculation, dry matter production, physiological analysis, extrapolation, estimation

Contact:

Dr.ir. H.F.M. ten Berge
Research Institute for Agrobiology and Soil Fertility (AB-DLO)
Dept. Agrosystems Research
P.O.Box 14
6700 AA Wageningen
THE NETHERLANDS
Tel. +31.8370.75951/75953
Fax +31.8370.23110
Email: berge@ab.agro.nl


Author(s):

Abstract:

ORYZA1 is an ecophysiological model for irrigated rice production. The main structure and basic routines are from the Wageningen models for potential production (INTERCOM - Kropff & van Laar, 1993; SUCROS - Spitters et al., 1989; van Laar et al., 1992; MACROS module L1D - Penning de Vries et al., 1989). An important advantage of the current model is that it can be used to simulate realistic yields and to assess the impact of planting date, weather, latitude at measured leaf N contents. This is in contrast to models for potential production, that have a fixed pattern of leaf photosynthesis in time. The model follows the daily calculation scheme for the rates of dry matter production of the plant organs, and the rate of phenological development. By integrating these rates over time, dry matter production of the crop is simulated throughout the growing season. The model ORYZA1 can be used as a tool in rice research for different types of studies: 1. Detailed physiological analysis of field experiments. It enables interpretation of treatment differences in yield in terms of LAI development, leaf N content, weather conditions and varietal characteristics determining physiological and morphological processes. For this purpose, detailed measurements are required on LAI and leaf N content, preferably throughout the growing season, although a single measurement at flowering can be seen as a minimum data set. 2. Extrapolation of experimental findings to other environments. Given the N content oie leaves throughout the growing season and the varietal characteristics, attainable yields can be estimated for other environments (planting date, irradiation, temperature). 3. Estimation of yield potential for a given environment (planting date, latitude, radiation, temperature, variety as input) based on the leaf N content of the highest yielding experiments. The leaf N contents measured in the recent IRRI experiments used for model development can be used as a starting point. 4. Estimation of the effect of climate change on yield potential.

Author of the abstract:
CAMASE Register of Agro-ecosystems Models


II. Technical Information

II.1 Executables:

Operating System(s): PC

II.2 Source-code:

Programming Language(s): FST* and FORTRAN

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

Kropff, H.H. van Laar & R.B. Matthews (Eds.), 1994.
ORYZA1 rice production.
SARP Research Proceedings, IRRI, TPE-WAU, AB-DLO. 110 pp.


V. Further information in the World-Wide-Web


VI. Additional remarks


Last review of this document by: T. Gabele: Thu Sep 18 1997
Status of the document:
last modified by Tobias Gabele Wed Aug 21 21:44:46 CEST 2002

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