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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:2, February, 2020

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(2): 252-261
DOI: https://doi.org/10.20546/ijcmas.2020.902.032


Soumya Satpathy and Sandip Debnath
Soumya Satpathy* and Sandip Debnath
Department of Genetics and Plant Breeding, Institute of Agriculture, Visva-Bharati, Sriniketan, Birbhum, West Bengal- 731236 (India)
*Corresponding author
Abstract:

Fifty genotypes of lentil were evaluated under normal soil condition in the field of Institute of Agriculture, Visva-Bharati University to assess genetic divergence using Mahalanobis’s D2 analysis. The genotypes which were being developed at different crop improvement research centers across India and Bangladesh were collected for present investigation. Experiment was carried out over two crop seasons of 2017-18 and 2018-19 in Randomized Block Design with three replicates. Fifteen different clusters were formed as a result of pooled data analysis. Cluster I consisted largest number of genotypes. Twelve clusters had only single genotype in each of them. Maximum inter cluster distances was found between cluster II and cluster IV with eleven genotypes and one genotype in each, respectively. Cluster XIV having genotype ILL-10461 had shown maximum mean value for yield. Geographical and genetic diversity did not coincide while clustering.


Keywords: Lentil, Genetic divergence, Mahalanobis’s D2, Cluster analysis, Quantitative traits

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How to cite this article:

Soumya Satpathy and Sandip Debnath. 2020. Assessment of Genetic Divergence for Quantitative Traits in Lens culinaris Medik.Int.J.Curr.Microbiol.App.Sci. 9(2): 252-261. doi: https://doi.org/10.20546/ijcmas.2020.902.032
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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