Estimates of additive and non-additive genetic variances with varying level of inbreeding

David Norris, W. Ngambi, C. A. Mbajiorgu

Research output: Contribution to journalArticlepeer-review

Abstract

In this study, two populations with varying percentages of animals in full-sib families were simulated. For each population, two combinations of additive and dominance genetic varianees of different relative magnitudes were considered thereby creating 4 sub-populations. For each sub-population, a further 3 populations (11, 12, 13) were created with varying degree of inbreeding level (0, 0.02 and 0.05) resulting in a total of 12 populations. Constant residual variance was used in all populations. Variance components were estimated using the tilde-hat approximation to REML based on sire-dam model. Both additive and dominance genetic variances were estimated with high degree of accuracy and the level of inbreeding did not seem to result in changes in the magnitudes of the genetic variances. At low levels of inbreeding, accounting for inbreeding in genetic evaluations may not be necessary.

Original languageEnglish
Pages (from-to)254-258
Number of pages5
JournalJournal of Biological Sciences
Volume9
Issue number3
DOIs
Publication statusPublished - Jul 23 2009

All Science Journal Classification (ASJC) codes

  • Molecular Medicine
  • Cell Biology

Fingerprint Dive into the research topics of 'Estimates of additive and non-additive genetic variances with varying level of inbreeding'. Together they form a unique fingerprint.

Cite this