Table 3 Output on adding extraneous error component to the selected Model 1 or Base for DM, FYLD, SHTWT, and HI
DataTraitModelVarianceh2LLkχ-square
Embedded ImageEmbedded ImageEmbedded ImageEmbedded ImageEmbedded Image
Ibadan_2013_C1FYLDBase7.425NA19.791NANA0.7−1359.3121.34
Model26.876NA18.171NA2.0490.68−1348.64(3.80E−06)
SHTWTModel19.0221.72911.875NANA0.59−1275.656.48
Model28.6861.76311.419NA0.6450.6−1272.41(0.01)
HIBase0.005NA0.009NANA0.441092.167.89
Model20.005NA0.009NA0.0010.441096.1(0.005)
Mokwa_2013_C1FYLDModel11.6491.11319.218NANA0.86−1475.812.88
Model21.3621.10118.609NA0.8240.87−1474.37(0.089)
HIBase0.005NA0.009NANA0.621270.8710.15
Model20.005NA0.0090.001NA0.661275.94(0.001)
Mokwa_14_C1HIBase0.007NA0.006NANA0.59561.333.66
Model20.006NA0.0050NA0.54563.15(0.055)
Ikenne_2014_C1DMBase31.949NA0.719NANA0.44−579.4621.87
Model236.116NA0.033NA1.3790.46−568.52(2.9e−06)
SHTWTBase721.089NA29.191NANA0.5−1109.423.27
Model2752.485NA15.79210.999NA0.49−1107.79(0.071)
  • Base is the model having only the genetic variance component. Model 1 has a spatial variance component in addition, and Model 2 has extraneous error component added to the best model selected between Model 1 and Base for a particular trial and trait. Narrow sense heritability (h2) is calculated from BLUP values and genotypic variance. Chi-square statistic is calculated from the log likelihood values (LLk) of the Base/Model 1, and selected Model 2 is given with p-value in brackets. The table shows results from trial-trait analysis with significant improvement in model fit of Model 2 over the best of Base/Model 1 at α = 0.1.