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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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Original Research Articles

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.2021.10(4): 116-126
DOI: https://doi.org/10.20546/ijcmas.2021.1004.011


SSR based Genetic Diversity in MAGIC Lines of Soybean (Glycine max (L.) Merrill)
Bidush Ranjan Swar1, V. Swarnalatha2*, M. Rajendar Reddy3 and S. Vanisri4
1Department of Genetics and Plant Breeding, College of Agriculture, Rajendranagar, India
2Seed Research and Technology Centre, India
3ARS, Adilabad, India
4Institute of Biotechnology, Professor Jayashankar Telangana State Agricultural University, Hyderabad -500030, India
*Corresponding author
Abstract:

Soybean MAGIC lines are recently developed tailor made source of germplasm that have undergone heavy genetic recombinations. The present study was carried out to assess its extent of genetic diversity at molecular level in 95 soybean MAGIC lines along with six checks by using 30 SSR markers from which 27 were found polymorphic. A total of 106 alleles were generated with an average of 3.53 and a range of two to six alleles per loci. The value of observed heterozygosity was varying from 0.00 to 0.099 indicating a higher frequency of homozygotes among the accessions. Maximum PIC was 0.955 for Staga001 followed by 0.948 (Satt168, Satt453, Satt534), 0.947(Satt565) and 0.945(Satt371). The range of Jaccard’s similarity coefficient was varying from 0.089 to 1, most of the values were between 0.2 to 0.3 with an average of 0.3 indicating considerable diversity exists among the genotypes. A total of six main clusters were formed by UPGMA clustering method. Cluster II was the largest comprising 48 genotypes which were grouped into four sub-clusters. Clustering based on SSR markers revealed a very precise grouping of the genotypes based on their relatedness than their phenotypic data alone. Hence it can be successfully deployed for selecting desirable genotypes which can be utilized in future breeding programs for exploiting heterosis or in the introgression of genes for biotic and abiotic stress tolerance in soybean crop.


Keywords: Soybean, SSR markers, MAGIC lines, genetic diversity
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How to cite this article:

Bidush Ranjan Swar, V. Swarnalatha, M. Rajendar Reddy and Vanisri, S. 2021. SSR based Genetic Diversity in MAGIC Lines of Soybean (Glycine max (L.) Merrill).Int.J.Curr.Microbiol.App.Sci. 10(4): 116-126. doi: https://doi.org/10.20546/ijcmas.2021.1004.011