Skip to main content

Table 3 Average number of SNPs estimated to be in each distribution by BayesR 1

From: Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic predictions

Breed

Trait

0.0001 σ 2 a2

0.001 σ 2 a2

0.01 σ 2 a2

Holstein

FY

3968.0

53.4

7.4

Holstein

MY

3834.4

78.0

5.8

Holstein

PY

4352.4

39.6

4.6

Holstein

F%

2451.8

70.2

9.2

Holstein

P%

2376.8

175.2

13.0

Holstein

STAT

5685.0

241.0

10.4

Holstein

FERT

5874.2

163.4

13.4

Holstein

SURV

2731.8

39.6

4.6

Jersey

FY

3897.2

48.8

7.6

Jersey

MY

2960.0

68.2

6.4

Jersey

PY

3469.0

72.6

6.0

Jersey

F%

2562.8

94.0

23.4

Jersey

P%

3318.4

152.0

40.2

Jersey

STAT

2472.6

295.6

7.0

Jersey

FERT

1303.0

125.0

9.8

Jersey

SURV

1935.0

116.8

3.0

Hol/Jer

FY

4388.6

23.2

6.2

Hol/Jer

MY

4155.4

54.2

6.2

Hol/Jer

PY

4583.2

36.6

4.6

Hol/Jer

F%

3145.2

55.2

11.6

Hol/Jer

P%

3591.2

178.2

19.6

Hol/Jer

STAT

5773.0

225.8

9.2

Hol/Jer

FERT

5575.0

142.0

9.4

Hol/Jer

SURV

2781.2

29.0

4.2

  1. FY = fat yield (kg/lactation), MY = milk yield (L/lactation), PY = protein yield (kg/lactation), F% = fat percentage (%) and P% = protein percentage in milk (%); STAT = stature; FERT = fertility (calving interval, days); and SURV = daughter survival (annual probability); the number of SNPs in the zero distribution (632 003 minus the sum of the SNPs from the three other distributions) is not shown; 1where σ 2 a2 is the additive genetic variance estimated with pedigree (only).