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Table 8 Prediction accuracy (SE) for the different combination of traits network genomic relationship matrix for Holstein, Jersey and Brown Swiss

From: Including gene networks to predict calving difficulty in Holstein, Brown Swiss and Jersey cattle

  Model-1 Model-2 Model-3 Model-4 Model-5 Model-6 Model-7
Holstein
 DCD 0.47 (0.03) 0.46 (0.03) 0.46 (0.03) 0.43 (0.02) 0.46 (0.02) 0.34 (0.02) 0.44 (0.03)
 MCD 0.54 (0.03) 0.52 (0.03) 0.52 (0.03) 0.48 (0.03) 0.53 (0.03) 0.38 (0.03) 0.52 (0.02)
 GL 0.21 (0.08) 0.2 (0.07) 0.21 (0.07) 0.19 (0.06) 0.21 (0.07) 0.13 (0.03) 0.18 (0.05)
 STAT 0.76 (0.02) 0.73 (0.02) 0.73 (0.02) 0.68 (0.02) 0.75 (0.02) 0.57 (0.03) 0.74 (0.02)
 STRENGTH 0.66 (0.02) 0.63 (0.02) 0.64 (0.02) 0.57 (0.02) 0.65 (0.02) 0.48 (0.03) 0.63 (0.02)
 RUMPWIDTH 0.7 (0.02) 0.67 (0.02) 0.68 (0.02) 0.62 (0.03) 0.69 (0.02) 0.52 (0.02) 0.68 (0.02)
Jersey
 DCD 0.41 (0.07) 0.38 (0.08) 0.39 (0.08) 0.38 (0.06) 0.38 (0.07) 0.34 (0.03) 0.34 (0.04)
 MCD 0.18 (0.04) 0.17 (0.04) 0.18 (0.04) 0.17 (0.03) 0.17 (0.04) 0.14 (0.02) 0.14 (0.03)
 GL 0.02 (0.03) 0.01 (0.01) 0.01 (0.02) 0.03 (0.02) 0.02 (0.02) 0.01 (0.03) 0.01 (0.02)
 STAT 0.63 (0.05) 0.62 (0.05) 0.62 (0.05) 0.62 (0.04) 0.62 (0.04) 0.58 (0.04) 0.61 (0.04)
 STRENGTH 0.51 (0.02) 0.47 (0.02) 0.47 (0.01) 0.46 (0.02) 0.47 (0.02) 0.44 (0.04) 0.47 (0.02)
 RUMPWIDTH 0.56 (0.03) 0.53 (0.04) 0.53 (0.04) 0.52 (0.04) 0.52 (0.04) 0.49 (0.04) 0.52 (0.03)
Brown Swiss
 DCD 0.23 (0.12) 0.25 (0.12) 0.25 (0.12) 0.27 (0.11) 0.27 (0.11) 0.21 (0.15) 0.22 (0.15)
 MCD 0.21 (0.03) 0.24 (0.05) 0.24 (0.05) 0.21 (0.08) 0.21 (0.08) 0.18 (0.13) 0.19 (0.13)
 GL 0.08 (0.07) 0.14 (0.06) 0.14 (0.06) 0.16 (0.07) 0.16 (0.07) 0.14 (0.05) 0.15 (0.05)
 STAT 0.44 (0.06) 0.41 (0.08) 0.41 (0.08) 0.41 (0.08) 0.41 (0.08) 0.36 (0.11) 0.38 (0.11)
 STRENGTH 0.33 (0.07) 0.31 (0.03) 0.31 (0.03) 0.28 (0.07) 0.28 (0.07) 0.25 (0.04) 0.27 (0.05)
 RUMPWIDTH 0.38 (0.06) 0.34 (0.04) 0.34 (0.04) 0.32 (0.02) 0.32 (0.02) 0.32 (0.03) 0.33 (0.03)