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Research Article Open access CC BY 4.0

Assessment of Genetic Diversity Using D2 Statistics in Brinjal of North Bengal

Sanjay K. R., Subhamoy Sikder, Shibnath Basfore, Kasireddy Sivasankarreddy, Eggadi Ramesh

International Journal of Environment and Climate Change · pp. 1353–1361 · Published 29 Dec 2022

10.9734/ijecc/2022/v12i121574

Abstract

Aim: Assessment of genetic diversity studies using D2 statistics in Brinjal of North Bengal. Study Design: Diversity D2 analysis. Methodology: This study was undertaken to understand the genetic divergence of the 32 brinjal genotypes collected from different locations of North Bengal region. Through diversity D2 analysis whole genotypes were categorized under seven groups with no evidence for geographical diversity as necessarily cause of genetic diversity. Results and Conclusion: Highest genetic diversity was recorded in cluster I and V argued for their utilization to develop transgressive segregate lines. Genotypes under cluster VI and VII found to be effective for the improvement of yield related attributes. The cross combinations between cluster VI and V, cluster VI and II, cluster VI and VI, cluster VI and I, cluster VI and III, cluster VI and cluster VII could be effectively utilized to  improve heterotic population or recombinant.

Brinjal genotypes genetic diversity

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