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Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

A database for coconut crop improvement.

Velamoor Rajagopal¹, Ramaswamy Manimekalai, Krishnamurthy Devakumar

¹Central Plantation Crops Research Institute, (ICAR), Kudlu P.O, Kasaragod, Kerala, India. bioinfcpcri@yahoo.co.uk

|June 29, 2007

Summary

A new database integrates coconut germplasm, cultivar identification, disease, microbial, and oil data. This bioinformatics tool supports coconut crop improvement using modern web technologies.

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Area of Science:

Agricultural Science
Bioinformatics
Database Management

Background:

Coconut crop improvement necessitates advanced biotechnology and bioinformatics tools.
Existing data on coconut germplasm, cultivar identification, diseases, microbial information, and vegetable oils are fragmented.
There is a need for a centralized resource to facilitate research and development in coconut cultivation.

Purpose of the Study:

To describe the development and features of a comprehensive database for coconut-related information.
To provide a centralized platform for accessing diverse data crucial for coconut crop improvement.
To showcase the application of modern database and web technologies in agricultural research.

Main Methods:

Development of a relational database using MySQL and PostgreSQL.
Implementation on a Linux operating system for robust performance.
Creation of a user-friendly web interface using PHP, HTML, and JAVA.

Main Results:

A functional database integrating information on coconut germplasm (CG), coconut cultivar identification (CCI), coconut disease (CD), microbial information systems in plantation crops (MIFSPC), and vegetable oils (VO).
The database is accessible via a web interface, enhancing usability for researchers.
The system provides a unified resource for various aspects of coconut research.

Conclusions:

The developed database serves as a valuable bioinformatics tool for coconut crop improvement.
Centralized data access through this platform can accelerate research in breeding, disease management, and cultivation practices.
This initiative highlights the potential of integrated databases in advancing agricultural science.