|Spurlock, D.m. - Iowa State University|
|Tempelman, R.j. - Michigan State University|
|Weigel, K.a. - University Of Wisconsin|
|Armentano, L.e. - University Of Wisconsin|
|Veerkamp, R.f. - Wageningen University And Research Center|
|De Haas, Y. - Wageningen University And Research Center|
|Coffey, M.p. - Sruc-Scotland'S Rural College|
|Hanigan, M.d. - Virginia Tech|
|Staples, C. - University Of Florida|
|Vandehaar, M.j. - Michigan State University|
Submitted to: World Congress of Genetics Applied in Livestock Production
Publication Type: Proceedings
Publication Acceptance Date: 4/3/2014
Publication Date: 8/17/2014
Citation: Spurlock, D.M., Tempelman, R.J., Weigel, K.A., Armentano, L.E., Wiggans, G.R., Veerkamp, R.F., de Haas, Y., Coffey, M.P., Connor, E.E. Hanigan, M.D., Staples, C.R., VandeHaar, M.J. 2014. Genetic architecture and biological basis of feed efficiency in dairy cattle. In: Proceedings of the 10th World Congress on Genetics Applied to Livestock Production, August 17-22, 2014, Vancouver, BC, Canada. Paper 287.
Technical Abstract: The genetic architecture of residual feed intake (RFI) and related traits was evaluated using a dataset of 2,894 cows. A Bayesian analysis estimated that markers accounted for 14% of the variance in RFI, and that RFI had considerable genetic variation. Effects of marker windows were small, but QTL peaks were identified. Six of the 8 chromosomes harboring QTL influencing RFI did not contain QTL influencing dry matter intake (DMI), net energy for lactation, or metabolic body weight. In contrast, 7 of 9 chromosomes with QTL influencing DMI also harbored QTL for one or more of the other traits evaluated. These results represent the first genomic analysis of RFI using a large (~3,000 animals) international dataset. In general they suggest RFI is a trait that should respond to selection, and that its genetic regulation is different from that of DMI.