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About Katmandoo

Overview

Katmandoo is a biosciences data management system initially created for use in plant breeding and evaluation programs where the aim is selection of superior genotypes in terms of a range of traits (eg. grain yield, quality characteristics and disease resistance). It aims to provide a single tool for managing phenotypic and genotypic data at both an individual and multiple experiment level. The system has much wider application, however, being appropriate for data from other programs of designed experimental research within the biosciences.

The Katmandoo system consists of two (separate) fundamental components: a relational database to store the information and a software application to access it. The Katmandoo application is being developed as a suite of modules:
where not all need be present depending on the level of functionality required.

Katmandoo is not an analysis system; statistical analysis and experimental design are areas of active research as is the specialist software necessary to implement them. A key feature of Katmandoo is the ability to import, store and export all information necessary to allow a rigorous statistical analysis for a wide range of designed experiments. The accommodation of multi-environment trial data means that Katmandoo is ideal for the ever-growing scenario of inter-organizational and national scale programs in both plant and animal research.

Data management and applications

The flexibility of Katmandoo to meet emerging biological and statistical needs is a key property of the underlying data model. The storage of phenotypic data is made with reference to the distinction between the experimental unit and the observational unit (that is, the unit on which a measurement is made). The generality this allows is most easily illustrated by example; consider the following related to crop improvement programs:
Katmandoo has application beyond crop improvement programs. Data from any type of field trial may be stored, including data from factorial experiments (where the treatments comprise combinations of levels of several factors rather than levels of a single factor). Other examples include glass-house experiments and animal experiments, including experiments where repeated measurements and multiple traits are recorded on experimental units. 

System requirements

The database component is built on a normalised data model implemented in SQL Server 2000 / SQL Server 2005 / SQL Server 2005 Express Edition and the Katmandoo application is developed in C# using the Microsoft .NET Framework 2.0.

Minimum recommended system configuration:
* Provided by the installataion package

Licensing

The Katmandoo database and application binary are distributed free of charge subject to the conditions in the Katmandoo license.

Development Team

Please click here for contact information and responsibilities of the team members.

We would like to thank Chris Lisle1, Damian Collins1, David Luckett1, Neil Coombes1, Peter Martin1, Gregory Lott4, David Jordan2, Colin Cavanagh3, Marcus Newberry3 and our colleague at NSW DPI and QLD Primary Industries and Fisheries for their support during the system development of Katmandoo and KollecTrait.

1NSW Department of Primary Industries
2QLD Primary Industries and Fisheries
3CSIRO Plant Industries, Canberra
4Molecular Plant Breeding CRC, University of Adelaide

See Also