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Data from: The impact of variable degrees of freedom and scale parameters in Bayesian methods for genomic prediction in Chinese Simmental beef cattle
- 负责人：
- Li, Junya
- DOI：
- doi:10.5061/dryad.4qc06
- 摘要：
- hyperparameters, degrees of freedom and scale parameters. In this study, we performed genomic prediction in Chinese Simmental beef cattle and treated
Data from: Multiple-trait genome-wide association study based on principal component analysis for residual covariance matrix
- 负责人：
- DOI：
- doi:10.5061/dryad.mh77c
- 摘要：
- Given the drawbacks of implementing multivariate analysis for mapping multiple traits in ge
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