Title

Authors

Affiliation

¹Sr. Scientist (Computer Applications in Agriculture), Directorate of Rapeseed-Mustard Research, Sewar, Bharatpur – 321303; ²Sr. Scientist (Biochemistry), Directorate of Rapeseed-Mustard Research, Sewar, Bharatpur - 321303

Email

vky20@hotmail.com; *Corresponding author

Article Type

Database

Date

Received May 09, 2013; Accepted May 27, 2013; Published June 08, 2013

Rapeseed-mustard oil is an essential dietary component, in India. The modification of rapeseed- mustard for fatty acid composition of seed oil to develop new genotypes having alternative oil and meal characteristics has been an important objective in quality breeding. Moreover, Breeding efforts in India are in progress to develop double low varieties to meet the internationally acceptable standards of oil and seed meal. So, information on the nutritional and anti-nutritional make-up of rapeseed-mustard oil and seed meal of the existing germplasm would be quite useful for the researchers especially breeders involved in the quality improvement programmes. In the present study database on biochemical characteristics of rapeseed-mustard has been developed using open source technology LAMP. The database provides the information on 14 important biochemical characters such as oil, saturated fatty acids, oleic, linoleic, linolenic, eicosenoic, erucic acid, monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), ω6/ω3 ratio, protein, glucosinolate, phenol, and fiber content. It offers web interface to submit and search data in the database. The database presently comprises biochemical characteristics of germplasm accessions, advance breeding lines and notified varieties of rapeseed-mustard. The database developed will be useful to the breeders in the selection of desired genotype with specific traits.

Keywords

Database, fatty acid profile, glucosinolate, LAMP, oil, protein, rapeseed –mustard.

Citation

Kumar & Bala,  Bioinformation 9(10): 537-540 (2013)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.