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Table 2 Details of 100 SSR and direct marker loci used for genotyping a panel containing 102 rice genotypes and their genetic diversity parameters

From: Linkage disequilibrium mapping for grain Fe and Zn enhancing QTLs useful for nutrient dense rice breeding

Sl.
No.
Marker NameNo. of allelesRange of amplicon (bp)Major allele frequencyGene diversityHetero- zygosityPIC valueinbreeding coefficient (f)
1RM2433.0000100–1400.62380.53310.19800.47050.6315
2RM4882.0000190–2100.73440.39010.01040.31400.9736
3RM4902.000095–1150.64500.45800.05000.35310.8919
4RM5742.0000150–1600.86180.23810.01320.20980.9455
5RM1222.0000240–2600.64800.45620.19390.35210.5785
6RM2343.0000150–1600.60500.54070.05000.47040.9084
7RM2483.000095–1150.36700.66260.13830.58840.7933
8RM80072.0000155–1750.54790.49540.18090.37270.6381
9RM172.0000150–1700.59900.48040.05210.36500.8927
10RM2602.0000100–1300.74070.38410.03700.31030.9053
11RM73.0000140–4000.45160.63740.00000.56251.0000
12RM5172.0000250–2700.75900.36580.00000.29891.0000
13RM5012.0000150–1650.76110.36360.05560.29750.8488
14OsZIP42.0000310–3100.65690.45080.00000.34921.0000
15RM5942.0000295–3100.81100.30660.15850.25960.4876
16RM34123.0000200–2600.55060.59360.02250.52610.9626
17RM56382.0000200–2500.59560.48170.07350.36570.8494
18RM67123.0000105–2000.60710.55410.38780.49410.3049
19RM1682.0000100–1200.57000.49020.02000.37010.9596
20RM56262.0000190–2100.81180.30560.04710.25890.8477
21RM33924.0000160–1700.34160.69400.46530.63200.3339
22RM12782.0000130–1400.71500.40760.15000.32450.6350
23RM4712.0000110–1300.75000.37500.13270.30470.6492
24RM5212.0000240–2700.92780.13400.01110.12500.9180
25RM62092.000080–900.97980.03960.00000.03881.0000
26RM802.0000135–1600.61980.47130.26040.36020.4516
27OsZIP82.00000–1000.68630.43060.00000.33791.0000
28RM1523.0000140–1800.40230.65850.56320.58450.1503
29RM4403.0000150–2050.79610.34380.01320.31500.9622
30RM4323.0000170–3500.79900.33990.08820.31210.7426
31RM4343.0000150–2900.76770.37060.08080.32330.7839
32RM 33.0000115–1600.53370.57160.03370.48710.9417
33RM 13.000075–1200.74640.41010.04350.37300.8954
34RM 1443.0000235–2700.50000.59550.10000.51370.8343
35RM 2012.0000140–1600.86930.22720.05680.20140.7524
36RM 2054.0000100–1400.63250.55470.08430.51720.8497
37RM 2702.0000300–3700.94120.11070.00000.10461.0000
38RM 3352.0000100–1100.66160.44780.03030.34750.9330
39RM1543.0000130–2000.47650.63580.44710.56410.3022
40RM2113.0000120–1700.65340.48840.15910.41560.6774
41RM2023.0000150–2000.51500.61060.09000.53850.8540
42RM2932.0000200–2100.75570.36930.01140.30110.9696
43RM853.000090–1100.50580.61820.08140.54680.8698
44RM4076.0000170–5500.48920.70190.12900.67130.8180
45RM2372.0000130–1500.53450.49760.01150.37380.9772
46RM2594.0000180–2800.68670.48060.04000.43460.9178
47RM4212.0000240–3000.95210.09120.05320.08700.4209
48RM2353.000090–1500.64620.48570.24620.40440.4990
49RM13372.0000120–1400.68750.42970.50000.3374######
50RM34092.0000304–3400.76920.35500.00000.29201.0000
51RM1052.0000130–1450.60760.47680.00000.36321.0000
52RM3091.0000190–1901.00000.00000.00000.0000NaN
53RM4521.0000250–2501.00000.00000.00000.0000NaN
54RM2043.0000120–1700.46950.57410.02440.48070.9580
55RM1371.0000250–2501.00000.00000.00000.0000NaN
56RM17891.0000180–1801.00000.00000.00000.0000NaN
57RM66412.0000140–1500.75270.37230.00000.30301.0000
58RM2964.0000140–4100.53370.62330.03370.56730.9465
59RM33312.0000165–1750.53060.49810.00000.37411.0000
60RM313.0000100–1250.50000.61570.04550.54190.9270
61RM4292.0000120–1400.95110.09300.03260.08870.6527
62RM5562.0000130–1900.71570.40700.01960.32420.9523
63RM5854.0000130–2100.38240.69150.01960.63300.9719
64RM232.0000150–1600.87130.22430.00000.19911.0000
65RM342.0000160–1800.91880.14930.08750.13820.4191
66RM532.0000180–2000.57140.48980.00000.36981.0000
67RM3003.0000130–1500.63440.53050.00000.47431.0000
68RM3152.0000145–1500.86870.22810.00000.20211.0000
69RM3393.0000150–1900.74750.40810.07070.37060.8283
70RM4004.0000250–3400.65710.52240.00000.48191.0000
71RM5282.0000300–3200.54640.49570.00000.37281.0000
72RM4862.0000135–1400.75260.37240.02060.30310.9452
73RM3406.0000130–2900.52150.66560.18280.62930.7279
74RM11324.000095–1400.55050.61450.03030.56170.9512
75RM4411.0000170–1701.00000.00000.00000.0000NaN
76RM5901.0000190–1901.00000.00000.00000.00000.0000
77RM2581.0000250–2501.00000.00000.00000.00000.0000
78GRMM9–12.00000–2750.69610.42310.00000.33361.0000
79GRMM9–22.00000–1500.92160.14460.00000.13411.0000
80OsNAC2.00000–6000.79170.32990.00000.27551.0000
81OsZIP8A2.00000–9000.58820.48440.00000.36711.0000
82OsZIP8C2.00000–9300.59800.48080.00000.36521.0000
83OsYSL4E3.00000–8510.50000.62500.00000.55461.0000
84OsMTP1A2.00000–9500.74510.37990.00000.30771.0000
85OsNRAMP5G2.00000–1500.63730.46230.00000.35551.0000
86IRMM9–12.00000–2000.70590.41520.00000.32901.0000
87OsYSL12.00000–2300.66670.44440.00000.34571.0000
88OsYSL2A2.00000–1500.92160.14460.00000.13411.0000
89OsYSL2B3.00000–3300.44120.63530.00000.55901.0000
90OsYSL52.00000–3800.50980.49980.00000.37491.0000
91OsYSL62.00000–1660.50980.49980.00000.37491.0000
92OsYSL112.00000–1900.65690.45080.00000.34921.0000
93OsZIP6A3.00000–1700.50980.53520.00000.42801.0000
94OsZIP6B2.00000–2200.60780.47670.00000.36311.0000
95OsZIP73.00000–1800.65690.47960.00000.40251.0000
96OsZIP82.00000–1600.52940.49830.00000.37411.0000
97OsNRAMP1A3.00000–3100.66670.49310.00000.43641.0000
98OsNRAMP1B2.00000–2500.64710.45670.00000.35241.0000
99OsFER13.00000–1700.84310.27370.00000.25181.0000
100OsFER23.00000–4750.48040.59920.00000.51571.0000
 Mean2.44 0.6820380.4141950.0613850.3482110.849347