Strengthening of banana breeding through data digitalization

Area of Science:

• Agricultural Science
• Plant Breeding
• Information Technology

Background:

• Conventional edible banana breeding is hindered by sterility, long crop cycles, and data management issues.
• Challenges include mislabeling, poor data integrity, and loss of vital information during progeny development.
• Advanced information technology offers solutions for secure and efficient data management in breeding programs.

Purpose of the Study:

• To develop a user-friendly, web-based banana breeding tracker (BBT) to streamline breeding processes.
• To enhance data management, including storage, retrieval, and analysis for banana improvement.
• To reduce labeling errors and improve real-time tracking of breeding progress.

Main Methods:

• Development of a web-based application using MySQL database and Hypertext Preprocessor (PHP).
• Implementation of Quick Response (QR) code generation for labeling and tracking breeding stages.
• Integration of search, sort, and filter functionalities for efficient data retrieval and analysis.

Main Results:

• A secure and efficient data management system for banana breeding was established.
• The BBT facilitates real-time tracking and reduces labeling errors through QR code integration.
• The system supports multiple users across all operating systems, accessible from anywhere.

Conclusions:

• The developed BBT significantly improves efficiency and data integrity in banana breeding programs.
• The system is designed to accelerate the edible banana improvement program.
• Future upgrades will include phenotypic and genotypic data for public access, further aiding banana improvement.