Genomic predictions for dry matter intake using the international reference population of gDMI
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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.
Other Titles/Title of Conference
The 2014 Interbull Meeting, Berlin, Germany
Journal Title/Title of Proceedings
Interbull Bulletins 48