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MAGICdb - Mango Genetic stocks Identification and Characterisation database.

Dineshwaran Asaithambi1, Senthil Natesan, Vinothkumar Venkatesan

  • 1Department of Plant Molecular Biology & Bioinformatics, TamilNadu Agricultural University, Coimbatore, Tamil Nadu - 641003.

Bioinformation
|October 22, 2013
PubMed
Summary
This summary is machine-generated.

MAGICdb is a new database integrating mango (Mangifera indica) morphological, fruit quality, and marker data for commercially important cultivars. It offers an easy-to-use interface for accessing detailed information on various mango varieties.

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Area of Science:

  • Horticulture
  • Genomics
  • Bioinformatics

Background:

  • Mango (Mangifera indica) is a commercially significant fruit crop with diverse cultivars.
  • Access to integrated data on mango varieties is crucial for research and breeding.
  • Existing data is often fragmented across different sources.

Purpose of the Study:

  • To develop MAGICdb, a comprehensive database for mango cultivars.
  • To integrate morphological, fruit quality, and marker data.
  • To provide a user-friendly platform for accessing mango variety information.

Main Methods:

  • Data integration from various sources.
  • Database structuring into Morphological, Fruit Quality, and Marker domains.
  • Development of a user-friendly interface for data retrieval.

Main Results:

  • MAGICdb successfully integrates diverse data for popular mango cultivars.
  • The database includes detailed information on tree character, fruit quality, and genetic markers.
  • A searchable interface allows easy access to specific mango variety data.

Conclusions:

  • MAGICdb serves as a valuable resource for researchers, breeders, and stakeholders in the mango industry.
  • The integrated dataset facilitates comparative studies and informed decision-making.
  • The database promotes efficient utilization of genetic resources for mango improvement.