Development of a Statistical Uniqueness Index for DNA Fingerprinting Using Microsoft Excel
Authors
Assistant Professor, Dept.of Statistics & Computer Applications, SMGR Agricultural College, ANGRAU, Udayagiri (India)
Scientist Pulses Scheme, Institute of Frontier Technology, Regional Agricultural Research Station, ANGRAU, Tirupati (India)
Article Information
DOI: 10.51244/IJRSI.2026.1307000319
Subject Category: Education
Volume/Issue: 13/7 | Page No: 4340-4357
Publication Timeline
Submitted: 2026-08-06
Accepted: 2026-08-11
Published: 2026-08-18
Abstract
DNA fingerprinting of crop varieties is the most reliable method for varietal identification and seed trace in seed industry. It provides authentic proof for breeders to prevent unauthorized use of varieties by private entities and avoid infringement claims. It can be used as a molecular tool for genetic verification in seed certification. The technique also plays a key role in maintaining genetic integrity by preventing contamination and ensuring consistency in hybrid and open-pollinated varieties. In this way, DNA fingerprinting assures the true-to-type seed development, which is vital for maintenance of genetic purity in commercial cultivation and breeding programs. DNA fingerprint profiles of the varieties and hybrids acts as concrete evidence of genetic originality for legal protection through intellectual property rights and breeders rights. In addition, it aids in the management of germplasm collections by enabling the formation of core and mini-core sets and identifying duplicates. Hence, development of Uniqueness Index calculator for molecular profiles helps to quantify genetic distinctiveness of varieties quickly, suggesting the minimum number of markers for marker profile development in comparison of genetic profiles across varieties and to reduce unambiguous identification of crop varieties.
Keywords
DNA Fingerprinting, Varietal identification, Seed trace, Genetic purity, Plant Breeders Rights, Germplasm and Uniqueness Index Calculator, MS-Excel
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References
1. Amaravathi, Y., Vasanthi, R.P., Siva Kumar, E., Purushotham M and Giridhara Krishna T. 2014. DNA fingerprinting of groundnut Arachis hypogaea L. varieties of Tirupati using SSR markers. Electronic Journal of Plant Breeding, 5 4, 677-687. [Google Scholar] [Crossref]
2. Bhat K.V. 2001. DNA Fingerprinting and cultivar identification. National Research Centre on DNA finger printing, NBPGR, New Delhi-110012 [Google Scholar] [Crossref]
3. Lynch,M.(1988). Estimation of relatedness by DNA fingerprinting. Molecular Biology and Evolution, 5, 584–599. [Google Scholar] [Crossref]
4. Powell, W., Machray, G. C., & Provan, J. (1996). Polymorphism revealed by simple sequence repeats. Trends in Plant Science, 1, 215–222. [Google Scholar] [Crossref]
5. PPV&FR Authority (2009). Guidelines for the Conduct of Test for Distinctiveness, Uniformity and Stability. [Google Scholar] [Crossref]
6. Ramakrishna, W., Lagu, M. D., Gupta, V. S., & Ranjekar, P. K. (1994).DNA fingerprinting in rice using oligonucleotide probes specific for simple repetitive DNA sequences. Theoretical and Applied Genetics, 88, 402–406. [Google Scholar] [Crossref]
7. Rana M.K. and Bhat K.V. (2017) DNA Fingerprinting in Plants: Standard Operating Methods and Protocols, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India, 73 pp. [Google Scholar] [Crossref]
8. Singh, R.K., et al. (2013). DNA Fingerprinting in Crop Plants. Indian Journal of Genetics and Plant Breeding, 73(1): 1–9. [Google Scholar] [Crossref]
9. Sundaram, R.M., et al. (2008). DNA fingerprinting and its applications in crop improvement. Current Science, 94(5): 612–619. [Google Scholar] [Crossref]
10. Tessier, C., David, J., This, P., Boursiquot, J. M., & Charrier, A. (1999). Optimization of the choice of molecular markers for varietal identification in Vitis vinifera L. Theoretical and Applied Genetics, 98, 171–177. [Google Scholar] [Crossref]
11. Vasanthi, R.P., John, K., Mohan Vishnuvardhan, K., Purushotham, M., Sirisha, K., Thejaswi, Y. And Giridhar Krishna T. 2012. In: Groundnut varieties developed/ Released by RARS, Tirupati (AP). Pp.17-26. [Google Scholar] [Crossref]
12. Wetton, J. H., Carter, R. E., Parkin, D. T., & Walters, D. (1987). Demographic study of a wild house sparrow population by DNA fingerprinting. Nature, 327, 147–149. [Google Scholar] [Crossref]
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