Indian Society of Genetics & Plant Breeding
Assessment of genetic diversity between selected
genotypes serves as an essential tool to exploit the genetic
variability. In the present study, Ninety nine accessions of
oat acquired from different geographical regions were used
to study the molecular genetic variability by the use of 91
microsatellite primers. A total of 248 alleles from 91 primer
pairs in the 99 oat genotypes were detected. The average
alleles per primer pair were recorded as 2.69. The primer
pairs having the highest PIC values viz., AM 6 (0.50), AM 55
(0.49) and M 83381 (0.49) can be further used in the
association mapping studies. Clustering of the oat
genotypes into two main clusters A and B was done by
using the symmetric matrix of DICE coefficient based on
UPGMA method in Software – DARwin 6.0. In this study,
the moderate amount of dissimilarity was observed
between the whole set of accessions, the values ranging
from 0.33 to 0.79. The individuals belonging to the different
clusters may be useful in hybridization studies of oat
improvement programmes.
Keywords: Genetic diversity, SSRs, polymorphic information content (PIC), cluster analysis, dissimilarity coefficient, DARwin
Year: 2021
Volume: 81
Issue: 1
Article DOI: 10.31742/IJGPB.81.1.18
Print ISSN: 0019-5200
Online ISSN: 0975-6906
Gagandeep Kaur, Rahul Kapoor, Priti Sharma and Puja Srivastava info_circle
Download PDF
