Additional file 3 of Sparse Phenotyping and Haplotype-Based Models for Genomic Prediction in Rice

Additional file 3: Table S2. Genomic prediction accuraciesof days to headingand plant heightin the three rice populations using three prediction modelswith different missing rates of environment-specific best linear unbiased estimatesof genetic effects of lines in the training set. The genetic effect was respectively described by SNP genotypes, haplotype using complete blocks, and short haplotypes containing two SNPsand three SNPswithin a haplotype block. The missing rate zeroindicates the training set holds complete environment-specific BLUEs. The asterisk and pound sign indicate the prediction accuracies of haplotype-based approaches were statistically significantlyhigher and lower than those of the marker-based approach.

附加文件3：表S2。本表格呈现了三个水稻群体中，针对训练集中株系的环境专属最佳线性无偏估计（best linear unbiased estimates, BLUE）存在不同缺失率时，抽穗天数与株高的基因组预测准确率。遗传效应分别通过三种方式表征：SNP基因型、采用完整区块的单倍型，以及单倍型区块内包含2个SNP与3个SNP的短单倍型。当缺失率为0时，代表训练集拥有完整的环境专属BLUE。表中标注的星号与井号分别表示：基于单倍型的预测方法的准确率在统计学上显著高于、低于基于标记的预测方法。