Genomic prediction from whole genome sequence in livestock: the 1000 Bull Genomes Project

Autor: Hayes, Benjamin John, MacLeod, I.M., Daetwyler, Hans D, Bowman, Phil J, Chamberlian, A.J., Vander Jagt, C.J., Capitan, Aurelien, Pausch, Hubert, Stothard, Paul, Liao, X., Schrooten, Chris, Mullaart, Erik, Fries, Ruedi, Guldbrandtsen, Bernt, Lund, Mogens Sando, Boichard, Didier, Veerkamp, Roel F, VanTassell, Curt P, Gredler, Birgit, Druet, Tom, Bagnato, Alessandro, Vilkki, Johanna, deKoning, D.J., Santus, Enrico, Goddard, Mike E

Publikováno v: Hayes, B J, MacLeod, I M, Daetwyler, H D, Phil, B J, Chamberlain, A J, Vander Jagt, C, Capitan, A, Pausch, H, Stothard, P, Liao, X, Schrooten, C, Mullaart, E, Fries, R, Guldbrandtsen, B, Lund, M S, Boichard, D A, Veerkamp, R F, VanTassell, C P, Gredler, B, Druet, T, Bagnato, A, Vilkki, J, de Koning, D-J, Santus, E & Goddard, M E 2014, ' Genomic Prediction from Whole Genome Sequence in Livestock: The 1000 Bull Genomes Project ', Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada, 17/08/2014-22/08/2014 . < https://event.crowdcompass.com/wcgalp2014/activity/66xtr3YrsX >
2014; 10. World Congress of Genetics Applied to Livestock Production, Vancouver, CAN, 2014-08-17-2014-08-22, 1-6

Advantages of using whole genome sequence data to predict genomic estimated breeding values (GEBV) include better persistence of accuracy of GEBV across generations and more accurate GEBV across breeds. The 1000 Bull Genomes Project provides a databa

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