Table 5 The estimates of variance components (mean (SD) over 50 replicates) in scenario S12L2 × 3 (group size = 12, individuals from four litters per pen) for trait 1 and trait 2 using multivariate model based on group or individual records with different proportion of individuals having genotypes.

From: Prediction of breeding values for group-recorded traits including genomic information and an individually recorded correlated trait

Record (trait 1 + trait 2)

Genotype proportion

Model

\(\sigma _{c_1}^2\)

\(\sigma _{l_1}^2\)

\(\sigma _{a_1}^2\)

\(\sigma _{e_1}^2\)

\(\sigma _{c_2}^2\)

\(\sigma _{l_2}^2\)

\(\sigma _{a_2}^2\)

\(\sigma _{e_2}^2\)

\(\sigma _{c_1,c_2}\)

\(\sigma _{l_1,l_2}\)

\(\sigma _{a_1,a_2}\)

\(\sigma _{e_1,e_2}\)

  

Simulated

10

10

30

50

40

40

100

220

6

6

43.82

52.44

Trait 1 group + trait 2 individual

100%

GBLUP

10.23 (2.52)

11.25 (4.90)

30.40 (5.09)

43.76 (22.98)

39.40 (3.59)

40.33 (3.01)

98.49 (6.85)

219.08 (4.46)

11.16 (1.31)

6.09 (2.76)

44.79 (4.87)

0

30%

ssGBLUP

10.23 (2.53)

10.86 (5.33)

32.56 (6.51)

42.74 (23.85)

39.31 (3.84)

38.19 (3.14)

109.51 (8.58)

214.18 (6.39)

10.97 (1.49)

5.56 (3.10)

48.79 (6.82)

0

0%

PBLUP

10.34 (2.72)

11.47 (5.28)

31.14 (7.38)

42.73 (24.89)

39.40 (3.86)

39.84 (3.44)

103.43 (7.81)

218.22 (6.52)

11.18 (1.55)

6.36 (3.34)

45.95 (7.63)

0

Trait 1 individual + trait 2 individual

100%

GBLUP

9.88 (0.72)

10.02 (0.81)

29.74 (1.83)

50.00 (0.74)

39.28 (3.58)

40.32 (2.96)

98.48 (6.88)

219.17 (4.51)

5.83 (1.18)

5.94 (1.26)

43.47 (2.73)

52.43 (1.42)

30%

ssGBLUP

9.90 (0.79)

9.56 (0.94)

32.41 (2.55)

48.67 (1.39)

39.29 (3.81)

38.32 (3.20)

109.14 (8.53)

214.30 (6.47)

5.86 (1.29)

5.30 (1.45)

47.46 (3.55)

50.20 (2.56)

0%

PBLUP

9.90 (0.82)

10.06 (1.00)

30.29 (2.84)

50.08 (1.65)

39.35 (3.86)

39.92 (3.61)

102.73 (7.55)

218.60 (6.47)

5.88 (1.36)

5.96 (1.57)

44.59 (3.81)

52.17 (2.83)

  1. \(\sigma _{c_i}^2\), \(\sigma _{l_i}^2\), \(\sigma _{a_i}^2\), and \(\sigma _{e_i}^2\) were the pen variance, litter variance, additive genetic variance, and residual variance for trait i. \(\sigma _{c_1,c_2}\), \(\sigma _{l_1,l_2}\), \(\sigma _{a_1,a_2}\), and \(\sigma _{e_1,e_2}\) were the pen covariance, litter covariance, additive genetic covariance, and residual covariance between the two traits.