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

Authors

  • Yvette de Haas Animal Breeding and Genomics Centre of Wageningen UR Livestock Research

Keywords:

genomics, dry matter intake, international

Abstract

In this study, we have demonstrated that using dry matter intake (DMI) phenotypes from multiple countries 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 estimate the accuracy of genomic prediction for DMI multi-trait models. The average accuracies was 0.44, and ranged from 0.37 (Denmark) to 0.54 (the Netherlands). Enlarging the combined dataset with unique phenotypes does increase the accuracy of the genomic prediction for DMI. This stimulates further international collaboration.

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Published

2014-07-25