Skip to main content

Table 5 (Co)-variances, correlations and likelihood test estimated with the simulated data per model

From: Estimation and consequences of direct-maternal genetic and environmental covariances in models for genetic evaluation in broilers

 

Moda

Modam

Coram

Corepe

Coramepe

True VC

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

9217 (400)

8680 (358)

10,251 (601)

6997 (292)

7937 (332)

8046

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

430 (96)

609 (125)

583 (118)

864 (193)

829

\({{{\sigma}}}_{{{p}}{{e}}}^{2}\)

743 (50)

515 (72)

664 (76)

737 (74)

879 (82)

906

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

19,302 (211)

19,554 (188)

18,810 (290)

20,364 (157)

19,918 (153)

19,860

\({{{\sigma}}}_{{{a}}{{m}}}\)

–986 (186)

–919 (205)

–912

\({{{\sigma}}}_{{{e}}{{p}}{{e}}}\)

1223 (126)

1291 (146)

1272

LRT

163

70

52

16

0

NA

  1. Additive genetic variance (\({\sigma }_{a}^{2}\)), maternal genetic variance (\({\sigma }_{m}^{2}\)), environmental permanent maternal variance (\({\sigma }_{pe}^{2}\)), environmental variance (\({\sigma }_{e}^{2}\)), genetic, environmental covariances (\({\sigma }_{am}\), \({\sigma }_{epe}\)) estimated in the simulated data for the five models and the one used to simulate the population (True VC) and the likelihood ratio test (LRT). Standard deviations of the estimates among the 15 replicates are shown in italics between brackets. Moda is the model for which no maternal genetic effects are included and for which the direct-maternal environmental covariance is null. Modam is the model for which both the direct-maternal genetic and the direct-maternal environmental covariance are null. Coram is the model for which the direct-maternal genetic effect is considered as non-null while the direct-maternal environmental covariance is null. Corepe is the model for which the direct-maternal environmental effect is considered as non-null while the direct-maternal genetic covariance is null. Coramepe is the model for which both the direct-maternal genetic and the direct-maternal environmental covariance are non-null