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International Journal of Applied Agricultural & Horticultural Sciences
  • 29 April, 2024
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DOI Prefix : 10.37322
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Vol. 8 (2) : March-April 2017 issue
Green Farming Vol. 8 (2) : 334-337 ; March-April, 2017
Studies on genetic diversity in greengram [Vigna radiata (L.)]
NAVEEN JAKHAR1* and GABRIAL M. LAL2
Department of Genetics and Plant Breeding, Allahabad School of Agriculture, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad - 211 007 (Uttar Pradesh)
Designation :  
1Research Scholar *(naveenjakhar111@gmail.com), 2Asstt. Professor
Subject : Crop Genetics and Plant Breeding
Paper No. : P-5400
Total Pages : 4
Received : 24 June 2016
Revised accepted : 01 February 2017
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Citation :

NAVEEN JAKHAR and GABRIAL M. LAL. 2017. Studies on genetic diversity in greengram [Vigna radiata (L.)]. Green Farming Vol. 8 (2) : 334-337 ; March-April, 2017

ABSTRACT
Thirty genotypes of greengram used to study the nature and magnitude of genetic divergence using Mahalanobis's D2 Statistics. The data for twelve important quantitative traits recorded from the genotypes raised in Randomized Block Design having three replications. Thirty greengram genotypes were grouped into six clusters. Cluster I was largest with eleven genotypes followed by cluster V with seven genotypes. The maximum inter-cluster distance was observed between cluster II and IV, suggesting that the genetic architecture of the genotypes in one cluster differ entirely from those included in other clusters. Three characters viz., seed index, biological yield, and plant height contributed maximum in manifestation of genetic diversity. Seed yield per plant had maximum phenotypic and genotypic Coefficient of Variation (PCV and GCV), followed by number of primary branches per plant. High magnitude of heritability (broad sense) was recorded for biological yield per plant. High heritability coupled with high genetic advance was observed for plant height and biological yield per plant suggesting that, the role of additive gene effect and possibilities of achieving high genetic progress through selection. The genotypes RMG-1014, RMG-1052, MIRCO-1008 and RMG-1078 were identified as genetically diverse parents, which can be utilized for future crop improvement programme.
Key words :
D2 statistics, Greengram, Genetic variability, Inter cluster distance and intra cluster distance.