Additional file 1 of A method to obtain exact single-step GBLUP for non-genotyped descendants when the genomic relationship matrix of ancestors is not available

Additional file 1. Numerical example of Bayesian updating of a P-BLUP evaluation. This example shows that Bayesian updating of an external evaluation with the current data yields identical results to those from a joint analysis of the data from the external and the current evaluations. In this example, the posterior mean vectors and covariance matrices that are needed for the Bayesian updating analysis are obtained directly from the solutions and the inverse of the coefficient matrix for the MME of the external analysis, rather than from MCMC samples. The PDF file shows the Julia script and the results from running that script. The Jupyter Notebook containing the Julia script will require a Jupyter Notebook application to run or modify the script.

附加文件1：P-BLUP评估的贝叶斯更新数值示例。本示例表明，利用当前数据对外部评估结果进行贝叶斯更新，所得结果与联合分析外部评估与当前评估的数据集所得结果完全一致。本示例中，贝叶斯更新分析所需的后验均值向量与协方差矩阵，可直接通过外部分析的混合模型方程组（MME, Mixed Model Equations）的解及其系数矩阵的逆矩阵获取，而非通过马尔可夫链蒙特卡洛（MCMC, Markov Chain Monte Carlo）采样得到。本PDF文件包含Julia脚本及其运行结果。包含Julia脚本的Jupyter Notebook需借助Jupyter Notebook应用程序方可运行或修改其中的脚本。