International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:7, July, 2018

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

Int.J.Curr.Microbiol.App.Sci.2018.7(7): 1101-1108

Tailoring the Genetic Diversity of Mung Bean through Cluster Analysis for Yield Attributing Traits to Obtain Efficient Hybrids
V. Umesh Kumar* and K.K. Sarkar
Dept. of Genetics and Plant Breeding, Bidhan Chandra Krishi Viswavidyalaya, nadia 741252, West Bengal, India
*Corresponding author

Through hierarchical clustering method, 27 genotypes were confined to VII clusters. Cluster I encompasses of three genotype accessions Basanti, TM-99-50, Sublobata-02 and it showed high cluster mean for plant height, days to maturity, number of pods plant-1. Lower plant height was observed in genotypes under Cluster IV, clusters I and clusters V consisted of high plant height. Early maturity genotypes were under cluster V and late maturity genotypes were under cluster I. Cluster IV showed highest mean in protein content and seed yield plant-1 among all clusters. Highest pod width was recorded by cluster VII (0.470) and lowest pod width was recorded in cluster I (0.250). Genotypes in cluster IV and cluster VII (56.321) was found very diverse clusters. High yielding genotypes with high mean value seed weight and protein content was found in cluster IV. With the selection of most diverse plants with high mean performance for many characters cluster analysis can be applied inbreeding program for mung bean improvement.

Keywords: Diversity, Plant height, Selective breeding, Pods plant-1, Early maturity

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How to cite this article:

Umesh Kumar, V. and Sarkar, K.K. 2018. Tailoring the Genetic Diversity of Mung Bean Through Cluster Analysis for Yield Attributing Traits to Obtain Efficient Hybrids.Int.J.Curr.Microbiol.App.Sci. 7(7): 1101-1108. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.