Genetic diversity analysis of indigenous turmeric genotypes using horticultural markers

Published

2016-12-31

Keywords:

Curcuma longa L., D2 analysis, morphological traits, principal component analysis.
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Authors

  • Vijay Bahadur Department of Horticulture, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad 211007
  • O.P. Meena Department of Horticulture, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad 211007

Abstract

The genetic diversity among 25 turmeric genotypes was evaluated for 18 horticultural traits. Ward’s minimum variance cluster analysis based on squared Euclidian’s distance on different traits clearly separated six clusters. The maximum intra-cluster distance was observed in cluster III (68.89) followed by cluster I (51.15), on the other hand, the highest Euclidean’s inter-cluster distance was observed between clusters I and VI (332.26) followed by clusters II and III (205.26). The highest percent contribution towards genetic divergence was noticed with days to maturity followed by curcumin content. Based on principal component analysis (PCA), the first five components explained 89.83% of total genetic variation. As a result, genetically diverse genotypes could be identified, increasing the usefulness of genotype collections by broadening the genetic base of turmeric and to utilize them in crop improvement programmes through direct selection.

How to Cite

Bahadur, V., & Meena, O. (2016). Genetic diversity analysis of indigenous turmeric genotypes using horticultural markers. Indian Journal of Horticulture, 73(04), 538–543. Retrieved from https://journal.iahs.org.in/index.php/ijh/article/view/1639

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