Author
SPURLOCK, D.M. - Iowa State University | |
TEMPELMAN, R.J. - Michigan State University | |
WEIGEL, K.A. - University Of Wisconsin | |
ARMENTANO, L.E. - University Of Wisconsin | |
Wiggans, George | |
VEERKAMP, R.F. - Wageningen University And Research Center | |
DE HAAS, Y. - Wageningen University And Research Center | |
COFFEY, M.P. - Sruc-Scotland'S Rural College | |
Connor, Erin | |
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. Interpretive Summary: 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. |