Table 3 Indian elite rice cultivars used in the present study
From: Potential of (GATA)n microsatellites from rice for inter- and intra-specific variability studies
No. | Name | Number of alleles obtained | Total number | ||
|---|---|---|---|---|---|
| Â | Â | with | of alleles | ||
| Â | Â | Â | Â | Â | obtained |
| Â | Â | OS1A6 | OS1H10 | OS2E7 | Â |
1 | Hema | 1 | 1 | 2 | 4 |
2 | Tellahamsa | 1 | 1 | 1 | 3 |
3 | Rambha | 1 | 1 | 1 | 3 |
4 | Jal Lahari | 3 | 1 | 2 | 6 |
5 | Phalguna | 2 | 3 | 3 | 8 |
6 | Intan | 1 | - | - | 1 |
7 | Rajeshwari | 1 | 1 | 1 | 3 |
8 | Jaya | 1 | - | 1 | 2 |
9 | Indrayani | 1 | 1 | 1 | 3 |
10 | Bhawani | 1 | - | - | 1 |
11 | Rasi | 1 | 1 | 3 | 5 |
12 | Lalat | 2 | 1 | 1 | 4 |
13 | Prakash | 1 | - | 2 | 3 |
14 | Gauri | 1 | 1 | 1 | 3 |
15 | Sankar | 1 | 1 | 1 | 3 |
16 | Ananga | 1 | - | 2 | 3 |
17 | Akashi | 1 | - | 3 | 4 |
18 | Sugandha | 1 | 1 | 1 | 3 |
19 | Madhukar | 1 | 1 | 1 | 3 |
20 | Subhadra | 1 | 1 | 1 | 3 |
21 | Vibhava | 1 | 1 | 1 | 3 |
22 | Rudra | 1 | 1 | 2 | 4 |
23 | Mangala | 1 | 1 | 3 | 5 |
24 | Varsha | 1 | 1 | 2 | 4 |
25 | Jalpriya | 1 | 1 | 1 | 3 |
26 | Pothana | 1 | 1 | 3 | 5 |
27 | Ratna | 1 | - | 0 | 1 |
28 | Jalnidhi | 1 | 1 | 1 | 3 |
29 | Salivahana | 1 | 1 | 1 | 3 |
30 | Surekha | 1 | 1 | 1 | 3 |
31 | Daya | 1 | 1 | 1 | 3 |
32 | Narmada | 1 | 1 | 1 | 3 |
33 | Parijat | 1 | 1 | 2 | 4 |
34 | Jalmagna | 1 | 1 | 2 | 4 |
35 | Vani | 1 | 2 | 1 | 4 |
36 | Vikas | 1 | 1 | 1 | 3 |
37 | Mandyavani | 1 | 1 | 1 | 3 |
38 | Chandana | 1 | 2 | 1 | 4 |
39 | Prasanna | 1 | 1 | 3 | 5 |
40 | Karjat-1 | 1 | 1 | 3 | 5 |
41 | Karjat-2 | 1 | 1 | 1 | 3 |
42 | Karjat-18 | 1 | 1 | 1 | 3 |
43 | Karjat-23 | 1 | 2 | 2 | 5 |
44 | Karjat-35-3 | 1 | 1 | 1 | 3 |
45 | Karjat-184 | 1 | - | 1 | 2 |
46 | Ratnagiri-1 | 1 | 1 | 1 | 3 |
47 | Ratnagiri-2 | 1 | 1 | 2 | 4 |