MOESM4 of Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance compared to a traditional pedigree-based model in rainbow trout aquaculture

Additional file 4: Table S2. Mean progeny phenotype (MPP) and genomic predictions for BCWD resistance estimated with BayesB method using five genomic selection (GS) schemes in progeny testing families (PTF) of rainbow trout. The data provided represent the mean progeny phenotype (MPP) and genomic predictions (GEBV) for BCWD resistance (DAYS and STATUS) estimated with BayesB method using five genomic selection (GS) schemes in progeny testing families (PTF) of rainbow trout. The GEBV for the binary trait STATUS estimated on the underlying scale of liability using a threshold animal model are shown as transformed to the observed scale of probability of survival using a standard normal cumulative distribution function (CDF).

补充材料4：表S2。本表格展示了采用贝叶斯B（BayesB）方法，结合五种基因组选择（genomic selection，GS）方案，针对虹鳟后代测试家系（progeny testing families，PTF）所估算的抗BCWD性状的平均后代表型（Mean Progeny Phenotype，MPP）与基因组预测值。本次提供的数据即为采用上述方法与方案，针对抗BCWD性状（包含DAYS与STATUS两个指标）所得到的平均后代表型（MPP）与基因组估计育种值（genomic estimated breeding value，GEBV）。其中，针对二分类性状STATUS，基于阈值动物模型在潜在责任尺度上估算的基因组估计育种值，已通过标准正态累积分布函数（cumulative distribution function，CDF）转换为观测到的存活概率尺度。