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Rice Population
Simulation Model (RICEPSM) |
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| What is the RICEPSM
Program? |
RICEPSM is a
physiologically-based rice population model, which simulates the seasonal numbers and mass
of roots, culms, leaf sheaths, leaf blades, panicle vegetative components, and grains for
the main plants and tillers at 40 Degree-days (>100C) time step. The
interface of RICEPSM enables us to analyze the relative importance of the various factors,
both genetic and environmental, to select optimal timing of agronomic practices, and to
test proposed management strategies. |
| Operating System |
Windows 95/NT |
| Domain Expert |
L.T. Wilson and
Guowei Wu |
| Programmers |
Guowei Wu and Zhe Wang |
| Program Information |
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Input Data |
RICEPSM uses
meteorological, agronomic, and genetic data as inputs. The data can be entered or selected
via user interface. The interface for RICEPSM consists of a series of input screens,
enabling the user to modify any of the several default parameters at the beginning of
simulation. Three kinds of parameters can be modified through the interface:
1)
General data: The data
includes selection of the weather file, the geographical location of the rice field,
planting date, plant density at emergence and first day of permanent flooding. |
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2)
Soil and Nitrogen data: The input
data includes initial nitrogen content in the flooding water and soil, percentage of
organic matter in the soil, organic matter C/N ratio, and the timing and amount of
nitrogen applications. |

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3)
Cultivar specific plant growth parameters: These
parameters include the number of nodes per main stem at harvest, seed weight at planting,
degree-days from panicle differentiation to heading, light extinction coefficient, maximum
node production rate and critical S/D ratio for tiller death. |
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Program Output |
RICEPSM
outputs nitrogen and total mass for leaf, stem, root, panicle vegetative component,
and grain for main plants and tillers, number of nodes per main stem, total number of
tiller per m-2, and potential supply/demand ratio at 40 degree-day time step.
The output files are in the form text files, but can be retrieved by a spreadsheet
application, such as MS Excel, for further statistical analyzing. |
| The following displays a sample output. |
Document
Author: |
Guowei Wu |
| Send mail to |
Guowei Wu |
Revised:
|
January 17, 2003 |
Copyright
© 1998 AgroEcoSystems
Research Group, TEXAS A&M UNIVERSITY |
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