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Table 4 Agreement on the top 10-ranked broilers selected across the different genome-enabled prediction approaches and for the various sub-sampling of the entire training dataset

From: Would large dataset sample size unveil the potential of deep neural networks for improved genome-enabled prediction of complex traits? The case for body weight in broilers

Predictive Approach

Training dataset size (%)

1

3

5

7

10

15

20

30

40

50

60

70

80

90

100

BRR x Bayes Cπ

91.5

94.5

95.0

94.4

95.9

93.9

93.2

90.8

90.3

87.6

86.6

89.1

87.6

87.9

88.6

BRR x DNN

57.8

66.9

64.9

79.3

78.4

82.6

55.5

79.8

76.6

73.1

72.9

77.1

78.5

75.9

76.5

BRR x BRR-WT

28.2

37.3

44.5

50.1

57.7

62.8

68.5

74.3

78.8

81.5

83.3

84.6

86.4

86.1

87.9

BRR x Bayes Cπ-WT

28.3

36.8

44.9

50.5

58.1

63.4

64.7

72.1

75.8

76.4

79.5

80.1

80.6

83.0

83.5

Bayes Cπ x DNN

57.6

65.7

64.2

78.8

77.9

80.9

55.3

76.9

74.8

69.4

71.6

74.9

75.2

72.2

74.2

Bayes Cπ x BRR-WT

28.5

37.3

44.0

50.7

56.4

62.5

67.6

73.3

76.8

79.1

79.8

82.2

82.0

81.8

82.6

Bayes Cπ x Bayes Cπ-WT

28.7

36.9

44.2

50.9

57.3

63.4

64.1

73.2

75.8

78.7

80.4

81.3

81.3

83.3

85.2

DNN x BRR-WT

28.2

37.5

38.0

47.3

55.3

58.8

47.4

66.5

68.5

68.3

69.7

72.8

73.6

72.2

72.3

DNN x Bayes Cπ-WT

28.1

36.5

38.1

47.4

55.4

58.8

46.3

64.4

67.8

65.2

67.7

71.0

71.0

71.2

70.1

BRR-WT x Bayes Cπ-WT

94.1

96.2

93.3

93.9

94.5

93.9

89.5

88.9

88.7

85.7

89.6

88.6

88.1

88.3

88.2