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Table 1 Within family prediction accuracies (\( cor\left(u,\hat{u}\right) \)) depending on the validation set (VS)

From: Optimized breeding strategies to harness genetic resources with different performance levels

 Five-year old donorTwenty-year old donorPanel donor
Family variancePrediction accuracyFamily variancePrediction accuracyFamily variancePrediction accuracy
TS =
E
(3,600)
TS = DE
(1200)
TS = E + DE (4800)TS =
E
(3,600)
TS = DE
(1200)
TS = E + DE (4800)TS =
E
(3,600)
TS = DE
(1200)
TS = E + DE (4800)
VS = ExE3.76
(1.17)
0.69 a
(0.07)
0.48
(0.1)
0.72 b
(0.06)
3.93
(1.06)
0.72 a
(0.07)
0.47
(0.10)
0.73 b
(0.06)
4.02
(1.16)
0.72 a
(0.05)
0.44
(0.10)
0.73 b
(0.05)
VS = DExE5.00
(1.41)
0.60 a
(0.1)
0.59
(0.1)
0.73 b
(0.07)
6.92
(2.10)
0.61 a
(0.11)
0.65
(0.10)
0.77 b
(0.07)
14.43
(4.40)
0.65 a
(0.12)
0.78
(0.07)
0.86 b
(0.05)
VS = DxE9.69
(2.01)
0.61
(0.08)
0.66 a
(0.08)
0.73 b
(0.07)
18.31
(3.78)
0.65
(0.08)
0.73 a
(0.06)
0.78 b
(0.05)
64.15
(12.89)
0.74
(0.07)
0.82 a
(0.04)
0.86 b
(0.03)
  1. Elite (ExE), introduction (DExE) and bridging (DxE) and the training set (TS) considered: pure elite (E), pure bridging (DE) and merged (E + DE). Results are given for scenarios with different donors, from the panel, 20-year old and 5-year old donors, considering a single TS and prediction accuracies are averaged over the 10 replicates and all 60 generations. In brackets are given the standard errors averaged over 60 generations.
  2. a Prediction accuracies that would have been realized if the breeding (E) or bridging (DE) set had been each predicted only by the corresponding training set (to be compared with b)
  3. b Realized prediction accuracies when considering a single training set (to be compared with a)