Sammanfattning

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.

Publicerad i

BMC Genetics
2009, Volym: 10
Utgivare: BIOMED CENTRAL LTD

SLU författare

• Rönnegård, Lars

  • Institutionen för husdjurens biovetenskaper, Sveriges lantbruksuniversitet
    

• Besnier, Francois

  • Institutionen för husdjurens biovetenskaper, Sveriges lantbruksuniversitet
    

• Carlborg, Örjan

  • Institutionen för husdjurens biovetenskaper, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Veterinärmedicin
Husdjursvetenskap


Publikationens identifierare

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

Permanent länk till denna sida (URI)

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