Abstract:
The present study was undertaken to assess the genetic diversity in the ninety six oat
(
Avena sativa
L.)
elite cultivar
s representing the collection from various eco
-
geographical
regions of India. The molecular diversity analysis using 40 SSR markers clustered all the
96 cultivar into ten clusters and significant level of distinction (dissimilarity coefficient
ranged from
0.12 to 0.96) was depicted among the lines indicating a high degree of
divergence among these lines. Genotypic pairs having utmost genetic dissimilarity (0.96)
were OL1634 and OL1688, OL1702 and OL1688, OL1705 and OL1634, UPO03
-
3 and OL
1688, and UPO03
-
3 a
nd OL1705 that can be used as parents in purposeful hybridization
programs. Polymorphic Information Content (PIC) values ranged from as low as 0.06 to
as high as 0.75 (AM 7). Owing to their highest
PIC
values, primer pairs AM7 (0.75), AM2
(0.69) and AM10 (
0.69) can be further used in association mapping studies in oat. The Un
-
weighted Pair Group Method with Arithmetic Mean (UPGMA) based dendrogram
revealed the cluster V (19 genotypes) as the largest and cluster X (3 genotypes) as the
smallest one. Thus, gen
otypes within clusters can be predicted as similarity pool in further
oat improvement programs. The selected panel of SSR markers performed well in
detection of genetic diversity patterns and can be recommended for future germplasm
characterization studies
in oats.
Keywords:
D
issimilarity coefficient, Molecular diversity analysis, Polymorphic information
Content,
SSRs
