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
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https://springernature.figshare.com/articles/dataset/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/4609027/1
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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).
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Figshare
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2017-12-18



