@article{Islam:276657,
      recid = {276657},
      author = {Islam, M. S. and Shah-E-Alam, M. and Islam, M. M. and  Islam, M. N.},
      title = {Genetic diversity analysis of groundnut genotypes using  microsatellite markers},
      journal = {Journal of the Bangladesh Agricultural University},
      address = {2008-06},
      number = {452-2018-4008},
      year = {2008},
      abstract = {A set of groundnut microsatellite markers were utilized in  23 elite groundnut genotypes to assess the genetic  diversity. A total of 13 alleles were detected at 3 loci  using the PM3, PM50 and PM238 microsatellite primer pairs.  The number of alleles ranged from 4 to 5 with an average of  4.33 alleles per locus. The allele sizes for all loci in 23  genotypes ranged from 137 to 217 bp and the frequency of  SSR allele ranged from 0.022 to 0.500. The genetic distance  for all possible 253 pairs of groundnut genotype  combination ranged from 0.000 to 2.093 with an average of  0.92. The values of polymorphic information content (PIC)  ranged from 0.617 to 0.701 and according to the result the  primer PM3 was found to be the most polymorphic. The UPGMA  dendrogram was constructed based on Nei's (1972) genetic  distance delineated the above groundnut genotypes into two  major clusters (I and II). Cluster I had two sub-clusters  la and lb and cluster II consisted of two genotypes namely,  ICGV 94165 and ICGV 00340 were unique and diversed from all  other genotypes belonging to cluster I. Regarding 3 primer  pairs, 4 specific alleles (PM3/195, PM50/146, PM50/137 and  PM238/171) were able to distinguish a maximum of 6  genotypes and finally 2 (ICGV 94165 and ICGV 00340) from  the above 23 groundnut genotypes. This approach will be  useful for exploiting SSR markers for detecting  polymorphism leading to genotype identification and  conservation of commercially developed groundnut varieties  through DNA fingerprinting and for estimating genetic  diversity.},
      url = {http://ageconsearch.umn.edu/record/276657},
      doi = {https://doi.org/10.22004/ag.econ.276657},
}