Research Article | Published: 22 March 2017

Genetic Diversity Assessment of Khasi pine (Pinus kesiya Royle ex. Gordon) from Meghalaya Using Chloroplast Microsatellite Markers

Kirti  Chamling  Rai, Harish Singh Ginwal and Romeet  Saha

Indian Journal of Forestry | Volume: 40 | Issue: 1 | Page No. 15-18 | 2017
DOI: https://doi.org/10.54207/bsmps1000-2017-R05W63 | Cite this article

Abstract

The study conducted on four populations of P. kesiya using cpSSR markers reported that the overall genetic diversity was higher (HT=0.547) as compared to within population genetic diversity (HS=0.285). Gene flow estimate was found to be relatively low (Nm=0.543). The analysis of molecular variance (AMOVA) revealed 51.09% of the variation to be within population and 48.91% of the variation to be among populations. UPGMA clustering segregated the populations into a single cluster and the identity matrix showed that the population from Jowai was genetically distinct and requires special attention. The study highlighted sufficient levels of genetic variation among the populations of this region which should be conserved. Information obtained from this study can be useful in setting up proper management strategies for the conservation of P. kesiya forest in Northeast India.

Keywords

Pinus kesiya, Khasi Pine, Microsatellite Markers, Chloroplast Microsatellites, cpSSR, Genetic Diversity, Population Differentiation

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How to cite

Rai, K.C., Ginwal, H.S. and Saha, R., 2017. Genetic Diversity Assessment of Khasi pine (Pinus kesiya Royle ex. Gordon) from Meghalaya Using Chloroplast Microsatellite Markers. Indian Journal of Forestry, 40(1), pp.15-18. https://doi.org/10.54207/bsmps1000-2017-R05W63

Publication History

Manuscript Published on 22 March 2017

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