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International Journal of Applied Agricultural & Horticultural Sciences
  • 20 April, 2024
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Frequency : Bimonthly
Language : English
DOI Prefix : 10.37322
P-ISSN : 0974-0775
E-ISSN : 2582-4198
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  • 1. Papers are invited for the forthcoming issues of Green Farming. Few Mini Review articles on applied aspects of new approaches (with Sr. Authors) may be adjusted, if sent on priority by email. For more details, please contact us.
Vol. 7 (1) : January-February 2016 issue
Green Farming Vol. 7 (1) : 22-25 ; January-February, 2016
Assessment of genetic diversity in soybean (Glycine max (L.) Merrill) using morphological and molecular markers
VARUN KUMAR BADAYA1*, B.S. GILL2 and ASMITA SIRARI3
Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana - 141 004 (Punjab)
Designation :  
1Ph.D. Scholar *(varunbadaya67@gmail.com), 2Sr. Breeder, 3Assistant Professor
Subject : Crop Genetics and Plant Breeding
Paper No. : P-3487
Total Pages : 4
Received : 19 March 2015
Revised accepted : 26 December 2015
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Citation :

VARUN KUMAR BADAYA, B.S. GILL and ASMITA SIRARI. 2016. Assessment of genetic diversity in soybean (Glycine max (L.) Merrill) using morphological and molecular markers. Green Farming Vol. 7 (1) : 22-25 ; January-February, 2016

ABSTRACT
Genetic diversity in thirty soybean (Glycine max (L.) Merrill) breeding lines were assessed using Mahalanobis D2 and molecular analysis. Mahalanobis D2 analysis grouped the lines into six clusters. Cluster II was the largest one, consisting of 19 genotypes. However, cluster IV, V and VI were found smallest, having only one genotype. The inter-cluster distance was highest between I and VI cluster pair (876.1) suggesting high genetic diversity among genotypes of these clusters. The genetic diversity analysis using 20 SSR markers grouped these genotypes into six clusters. A total of 81 alleles with an average of 4.05 alleles per locus were detected. PIC value ranged from as low as 0.09 (Satt127) to as high as 0.85 (Satt529). The genetically diverse genotypes would be further used in soybean improvement programme.
Key words :
Genetic diversity, Glycine max, Mahalanobis D2 analysis, Soybean, SSR