A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers
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* Corresponding author: Gerhard Moser gerhard.moser@bigpond.com
1 The CRC for Innovative Dairy Products, Australia
2 Bellbowrie, QLD 4070, Australia
3 Animal Breeding and Genetics Unit, University of New England, Armidale NSW 2351, Australia
4 ReproGen - Advanced Technologies in Animal Genetics and Reproduction, Faculty of Veterinary Science, University of Sydney, 425 Werombi Road, Camden NSW 2570, Australia
Genetics Selection Evolution 2009, 41:56 doi:10.1186/1297-9686-41-56
Published: 31 December 2009Additional files
Additional file 1:
Tables showing model-based means from ANOVA of factors affecting correlation (rEBV,MBV) between EBV and MBV and regression coefficient (logebEBV,MBV) of EBV on MBV. The regression coefficient was loge-transformed to account for non-normality and unstable variance. Estimates with different superscript are significantly different at the 0.05 significance level.
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