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Software downloads
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Nutrient Decision Support System (NuDSS) for Irrigated Rice: The
production of this software program is an initiative of the
Irrigated Rice Research
Consortium to provide decision support on site-specific nutrient
management (SSNM) in the irrigated lowlands. It can be used to estimate the
nutrient requirements for realistic target yields in irrigated rice, select the
adequate and least costly combination of quality fertilizer sources to match the
nutrient requirement, decide on fertilizer split applications, and estimate the
profit gained from improved nutrient and crop management programs. The content
of the software is consistent with earlier publications on SSNM, including a
handbook,
practical guide, and
IRRI's Rice Knowledge Bank.
Via IRRI:
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Fertilizer Chooser Software:
Fertilizer Chooser is the final step in preparing a
fertilizer program. Fertilizer Chooser assumes that a fertilizer recommendation
for balanced plant nutrition is available and helps the user to Translate a
nutrient recommendation into the correct amounts of different fertilizers needed
to make up the right amount of nutrients.
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CropStat: This is a computer
program for data management and basic statistical analysis of experimental
data.
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WinBoot: This
program was designed to analyze DNA fingerprints (restriction fragment
length polymorphism [RFLP] banding patterns) of rice pathogens, however,
any type of binary data from any source can be used as input.
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IRRI
Biodiversity Software Technical Bulletin Series: This
series was designed to help researchers: 1) manage and reorganize biodiversity
databases; 2) calculate, test, and bias-correct collectors' curves; 3)
detect boundaries in ecological landscapes; 4) compare and performance-test
extrapolation-based estimators of total taxonomic richness; and 5) detect
between-sample differences in community structure.
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ORYZA2000, Version 2.12:
Crop modeling and systems analysis have become important tools in modern
agricultural research. A crop model synthesizes our insights into the
physiological and ecological processes that govern crop growth into mathematical
equations. Our understanding of crop performance is tested by comparing
simulation results with experimental observations, thus making the gaps in our
knowledge explicit. Experiments can then be designed to fill these gaps. Once a
model is validated, it can be used to help analyze and interpret field
experiments. It can also be used in application-oriented research such as the
design of crop ideotypes, the analysis of yield gaps, the optimization of crop
management, the ex-ante analysis of the effects of climate change on crop
growth, and agroecological zonation.
Click here to view a bibliography of papers published on the use of
ORYZA2000.
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