Abstract

Conclusion: We have extended FIA to include QTL dominance effects. The power of FIA was superior, or similar, to standard regression methods for QTL effects with dominance. The difference in power for FIA with or without dominance is expected to be small as long as the QTL effects are not overdominant. We suggest that FIA with only additive effects should be the standard model to be used, especially since it is more computationally efficient.

Published in

BMC Genetics
2009, Volume: 10
Publisher: BIOMED CENTRAL LTD

SLU Authors

• Rönnegård, Lars

  • Department of Animal Biosciences, Swedish University of Agricultural Sciences
    

• Besnier, Francois

  • Department of Animal Biosciences, Swedish University of Agricultural Sciences
    

• Carlborg, Örjan

  • Department of Animal Biosciences, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Veterinary Science
Animal and Dairy Science


Publication identifier

DOI: https://doi.org/10.1186/1471-2156-10-30

Permanent link to this page (URI)

https://res.slu.se/id/publ/49438