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Table 6 Average (standard error) of the simulated additive genetic variance () in the evaluation population, and variance of MEBV calculated for individuals in the evaluation population.

From: Sensitivity of methods for estimating breeding values using genetic markers to the number of QTL and distribution of QTL variance

Method

unequal QTL variance

equal QTL variance

 

low QTL

int. QTL

high QTL

low QTL

int. QTL

high QTL

 

sc. 1

sc. 2

sc. 3

sc. 4

sc. 5

sc. 6

1623 (23)

7210 (88)

14193 (156)

158 (2)

767 (8)

1538 (18)

BM

890 (38)

2537 (168)

2032 (283)

81 (3)

327 (13)

575 (24)

LARS

914 (31)

3937 (164)

7017 (293)

75 (4)

344 (15)

715 (29)

PLSR

1249 (49)

5263 (198)

10747 (393)

129 (5)

618 (21)

1150 (46)

  1. The methods BM, LARS and PLSR were used to calculate the MEBV. The simulated number of QTL was low (low nQTL), intermediate (int. nQTL) or high (high nQTL). The simulated variance of every tenth QTL was 81 times larger than variance of remaining QTL (unequal QTL variance) or equal for all QTL (equal QTL variance). The averages and standard deviations were calculated using 60 replicated simulations.