TABLE 4

Predicting phenotypes with multiple linear regression analysis

RealizedPredicted with selection
TraitSelection of markersNo. of selected markersR2adj (%)MeanMinMaxMinMax
YLDtrStepwise1954.55779484163773631 ± 330a7804 ± 305
P < 0.052932.94782 ± 4186603 ± 401
P < 0.01 725.85414 ± 656155 ± 66
q* < 0.20 421.75588 ± 376143 ± 67
YLDuntrStepwise1856.45368412460382494 ± 3437117 ± 159
P < 0.053540.23944 ± 2996967 ± 318
P < 0.011329.94400 ± 2096309 ± 207
q* < 0.201934.04395 ± 2216131 ± 219
ADAPtrStepwise1844.91.000.601.250.41 ± 0.081.70 ± 0.08
P < 0.052517.40.76 ± 0.071.27 ± 0.08
P < 0.01 310.90.91 ± 0.021.05 ± 0.01
q* < 0.20 0NANANA
ADAPuntrStepwise1840.31.000.711.490.55 ± 0.061.68 ± 0.08
P < 0.051421.30.84 ± 0.031.30 ± 0.05
P < 0.01 1 1.80.99 ± 0.011.05 ± 0.03
q* < 0.20 0NANANA
STABtrStepwise1855.71.60−3.523.58−6.29 ± 0.729.10 ± 0.87
P < 0.052125.7−2.19 ± 0.743.81 ± 0.73
P < 0.01 922.7−0.76 ± 0.462.40 ± 0.37
q* < 0.20 823.2−0.69 ± 0.422.29 ± 0.23
STABuntrStepwise2057.51.86−1.844.00−7.27 ± 0.809.55 ± 0.80
P < 0.051818.2−0.68 ± 0.603.27 ± 0.57
P < 0.01 513.20.71 ± 0.402.01 ± 0.27
q* < 0.20 0NANANA
  • a ± standard error.

  • Predicting YLD, ADAP, and STAB with a subset of markers. The subset was chosen either using stepwise regression starting with the full set or on the basis of the significance of correlation of the markers with the trait of interest. R2adj is the adjusted R2. Realized mean, min(imum), and max(imum) values are given for comparison. Predicted min and max values were calculated using the regression model with the least/most favorable allele configuration. Yield is in kilograms per hectare. NA, not available.