MOESM1 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
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https://springernature.figshare.com/articles/dataset/MOESM1_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/4609003
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Additional file 1: Table S1. Mean progeny phenotype (MPP) and predictions for BCWD resistance estimated with pedigree-based BLUP (P-BLUP) and genomic selection (GS) models in progeny testing families (PTF) of rainbow trout. The data provided represent the mean progeny phenotype (MPP) and predictions (EBV and GEBV) for BCWD resistance (DAYS and STATUS) using pedigree-based BLUP (P-BLUP) and genomic selection (GS) models (ssGBLUP, wssGBLUP and BayesB) in progeny testing families (PTF) of rainbow trout. The EBV and 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).
提供机构:
Breno Fragomeni; Guangtu Gao; Yniv Palti
创建时间:
2017-02-02



