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Table 5 Association of marker alleles with Fe and Zn content in milled rice detected both in GLM and MLM analyses in a shortlisted panel population of 102 genotypes

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

TraitMarkerGLMMLM
F valueP valueR2q valueF valueP valueR2q value
Fe contentRM2436.217770.014290.058540.019582595.856050.017330.057980.03987069
RM1224.31470.040350.041360.042655717.114190.008920.070440.027565
RM23416.813818.41E-050.143940.000622088.054980.00550.079750.027565
RM78.879450.003620.081550.005580834.050580.046840.04010.04814111
RM16814.701122.20E-040.128170.000939264.932310.028620.048830.03987069
RM8016.398771.01E-040.140880.00062537.609150.006910.075340.03987069
RM33911.696999.08E-040.104720.001767315.247340.024080.051950.03987069
RM11324.142970.044450.039780.045684725.612670.019750.055570.03987069
OSZIP811.448930.001020.102730.0018875.25460.023980.052030.03987069
OSZIP6A5.867730.017220.055430.02055297.376660.007790.073040.027565
Zn contentRM2605.992670.016110.056540.02055294.60870.034230.045630.04155935
RM8011.863988.38E-040.106060.001721775.289240.023540.052370.03987069
RM30011.984717.91E-040.107020.001721777.742490.006450.076660.027565
RM3395.326140.023070.050570.025866364.18870.043320.041470.04714235
RM3405.591710.019980.052960.023101884.780720.031110.047330.03987069
RM11329.03130.003350.082830.005389136.36450.013220.063010.03762615
GRMM9–113.003924.87E-040.115070.0013737012.414266.44E-040.122910.008732
Panicles /m2RM24818.238464.45E-050.154250.000411225.43830.02170.053840.03987069
RM1714.623672.28E-040.127580.0009392611.264930.001120.111530.008732
RM33929.90830.002170.090150.003649544.578170.034820.045330.04155935
RM44013.876573.23E-040.121860.001196174.783250.031070.047360.03987069
RM8512.942775.01E-040.11460.001373703.985380.048620.039460.04862
RM4217.281540.008180.067870.012106411.148840.001180.110380.008732
RM314.764480.031390.045480.034159714.772910.031250.047260.03987069
RM55618.727123.58E-050.157730.000411224.901420.029110.048530.03987069
RM2315.805711.33E-040.136480.000701784.122420.044970.040820.04753971
RM34012.951574.99E-040.114660.001373705.749250.018350.056920.03987069
OsNRAMP1A26.694681.22E-060.21073.206975e-0511.870698.35E-040.117530.008732
OsFER125.837691.73E-060.205333.206975e-059.852090.002230.097550.01375167
Yield/plotRM2434.059790.04660.039010.04664.30190.040640.042590.04556606
RM2485.925310.01670.055940.02055295.010020.027420.04960.03987069
RM1711.919118.16E-040.10650.001721777.111040.008940.070410.027565
RM51712.865975.20E-040.113990.0013737014.74662.16E-040.146010.027565
RM4216.892170.010020.064480.014259235.556470.020360.055010.03987069
RM346.069910.015460.057230.020429295.168960.025130.051180.03987069
RM33911.307740.001090.101590.001920474.474160.03690.04430.04266563
RM113211.9528.03E-040.106760.001721774.788220.030980.047410.03987069