SSR marker-based genetic diversity assessment of turmeric (Curcuma spp.) germplasm lines for molecular characterization

Authors

  • Vishakha Burman 1Department of Agricultural Biotechnology, S.V.B. Patel University of Agriculture and Technology, Meerut-250 110, Uttar Pradesh, India
  • Ritu Rani 1Department of Agricultural Biotechnology, S.V.B. Patel University of Agriculture and Technology, Meerut-250 110, Uttar Pradesh, India
  • Vaishali 1Department of Agricultural Biotechnology, S.V.B. Patel University of Agriculture and Technology, Meerut-250 110, Uttar Pradesh, India
  • Aastha 1Department of Agricultural Biotechnology, S.V.B. Patel University of Agriculture and Technology, Meerut-250 110, Uttar Pradesh, India
  • Bijendra Singh 2College of Horticulture, S.V.B. Patel University of Agriculture and Technology, Meerut-250 110, Uttar Pradesh, India
  • Pooran chand 3Department of Genetics and Plant Breeding, College of Agriculture, S.V.B. Patel University of Agriculture and Technology, Meerut-250 110, Uttar Pradesh, India

DOI:

https://doi.org/10.56042/ijbb.v62i12.22370

Keywords:

Curcuma longa, Genetic diversity, Germplasm conservation, Polymorphism, SSR markers

Abstract

Turmeric (Curcuma spp.), a medicinal and economically important crop, exhibits significant genetic diversity, essential for breeding and conservation efforts. This study aimed to evaluate the genetic diversity of 30 turmeric germplasms using
20 simple sequence repeat (SSR) markers. Genomic DNA was isolated, and PCR amplification was performed with SSR primers. Out of 20 SSR markers, 18 exhibited polymorphism and reproducible banding patterns. The polymorphic information content (PIC) values ranged from 0.07 to 0.98, with an average of 0.61, indicating a high degree of polymorphism. Resolving power analysis identified the most informative markers for genetic differentiation. Jaccard’s similarity coefficient varied from 0.13 to 0.95, highlighting significant genetic variation among the germplasms. Cluster analysis using the unweighted pair group method with arithmetic mean (UPGMA) grouped the germplasms into two major clusters, reflecting their genetic relatedness. These findings confirmed the effectiveness of SSR markers in assessing genetic diversity, providing valuable insights for turmeric breeding, conservation, and genetic resource management.

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Published

2025-11-28

Issue

Section

Papers

How to Cite

SSR marker-based genetic diversity assessment of turmeric (Curcuma spp.) germplasm lines for molecular characterization. (2025). Indian Journal of Biochemistry and Biophysics (IJBB), 62(12), 1396-1409. https://doi.org/10.56042/ijbb.v62i12.22370

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