Genomic predictions for dry matter intake using the international reference population of gDMI

Y. de Haas, J.E. Pryce, M.P.L. Calus, B. Hulsegge, D.M. Spurlock, D.P. Berry, E. Wall, P. Lovendahl, K. Weigel, K. MacDonald, F. Miglior, N. Krattenmacher, R.F. Veerkamp

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

In this study, we have demonstrated that using dry matter intake (DMI) phenotypes from multiplecountries increases the accuracy of genomic breeding values for this important trait, provided a multi-trait approach is used. Data from Australia, Canada, Denmark, Germany, Ireland, the Netherlands,New Zealand, United Kingdom and two institutions in the United States were combined to estimatethe accuracy of genomic prediction for DMI multi-trait models. The average accuracies was 0.44, andranged from 0.37 (Denmark) to 0.54 (the Netherlands). Enlarging the combined dataset with uniquephenotypes does increase the accuracy of the genomic prediction for DMI. This stimulates furtherinternational collaboration.
Original languageEnglish
Title of host publicationProceedings of the The 2014 Interbull Meeting
Pages94-99
Volume48
Publication statusPublished - 2014
EventThe 2014 Interbull Meeting, Berlin, Germany -
Duration: 20 May 201421 May 2014

Conference

ConferenceThe 2014 Interbull Meeting, Berlin, Germany
Period20/05/1421/05/14

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    de Haas, Y., Pryce, J. E., Calus, M. P. L., Hulsegge, B., Spurlock, D. M., Berry, D. P., Wall, E., Lovendahl, P., Weigel, K., MacDonald, K., Miglior, F., Krattenmacher, N., & Veerkamp, R. F. (2014). Genomic predictions for dry matter intake using the international reference population of gDMI. In Proceedings of the The 2014 Interbull Meeting (Vol. 48, pp. 94-99) https://journal.interbull.org/index.php/ib/article/download/1353/1424