![]() |
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 |
Soybean [Glycine max (L.) Merrill] is ranked number one among major oil crops and is the second most important oil seed crop of India. There has been significant growth in both area under cultivation and production, however, it still has lower productivity. In the present study, use of SSR markers has been made to study genetic diversity in the Indian soybean cultivars and for their identification. Ninety-six soybean cultivars were used and genetic diversity was assessed using 49 microsatellite markers distributed across the soybean genome. A total of 230 bands were amplified of which 229 bands were found to be polymorphic. The number of amplified bands ranged from 2 to 7 with an average value of 4.73. The PIC values of the primers ranged from 0.13 to 0.77 with an average of 0.61. The heterozygosity index values varied between 0.14 to 0.80 with an average of 0.66. The genetic similarity values in pair-wise comparison of cultivars ranged from 0.59 to 0.94 with an average similarity index of 0.71. Based on cluster analysis, soybean cultivars included in the study were grouped into two major clusters. However, all cultivars could be grouped into eight clusters. Among these eight clusters, cluster V was found to be the largest with 33 cultivars followed by cluster IV (30 cultivars), cluster I (16 cultivars), cluster III (4 cultivars), cluster VIII (03 cultivars) and cluster II (2 cultivars). Unique bands, present in one particular cultivar only and absent in all other cultivars, were observed for seven cultivars namely, Lee, MACS-58 KHsb-2 JS-97-52 PK-471, Bragg and Co-3. Six primers produced these seven unique bands with primer Gly SATT-586 producing two unique bands of sizes 170bp and 230bp in cultivars Lee and MACS-58, respectively. All the cultivars could be unequivocally discriminated from one another using SSR marker set included in the study.
![]() |
![]() |
![]() |
![]() |
![]() |