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Table 5 Average (standard error) of Mean Square Error of Prediction (MSEP) of MEBV 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 nQTL

int. nQTL

high nQTL

low nQTL

int. nQTL

high nQTL

 

sc. 1

sc. 2

sc. 3

sc. 4

sc. 5

sc. 6

BM

659 (26)

4049 (108)

10463 (343)

79 (2)

416 (6)

850 (12)

LARS

707 (24)

4019 (71)

8230 (124)

91 (2)

465 (6)

927 (12)

PLSR

993 (24)

4242 (73)

8405 (123)

93 (2)

458 (6)

922 (14)

  1. 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.
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Genetics Selection Evolution

ISSN: 1297-9686