ArticleGenetics, selection, evolution : GSE2011
A common reference population from four European Holstein populations increases reliability of genomic predictions.
Article in Genetics, selection, evolution : GSE, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.
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Who cites it
80 citing papers in PubMed, 1 synthesis or guideline pooled it.
- GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle.Genetics, selection, evolution : GSE · 2022Pooled it
- Optimising realised genetic gain with low forward predictive ability across cycles for cooking time and correlated traits in common bean based on multivariate genomic selection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Study of Genetic Progress in the Context of Disconnection Between Two Originally Connected Populations.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Advancements in Animal Breeding: From Mendelian Genetics to Machine Learning.International journal of molecular sciences · 2025Review
- Verification of Accuracy of Genomically Enhanced Predicted Transmitting Ability Techniques in Predicting Milk and Fat Production in Holstein Cattle in Taiwan.Animals : an open access journal from MDPI · 2025Article
- Genetic parameters estimation and optimization of genomic selection in mud crab (Scylla paramamosain): a case study for growth-related traits.BMC genomics · 2025Article
- Improving genomic prediction in pigs by integrating multi-population data and prior knowledge.BMC genomics · 2025Article
- Genomic Prediction for Growth-Related Traits in Golden Pompano (Evolutionary applications · 2025Article
- Genomic Selection for Economically Important Traits in Dual-Purpose Simmental Cattle.Animals : an open access journal from MDPI · 2025Article
- Association of pedigree indexes and genomic breeding values with the performance of Polish Holstein-Friesian cows.Journal of applied genetics · 2025Article
- Predictive ability of multi-population genomic prediction methods of phenotypes for reproduction traits in Chinese and Austrian pigs.Genetics, selection, evolution : GSE · 2024Article
- Improving multi-population genomic prediction accuracy using multi-trait GBLUP models which incorporate global or local genetic correlation information.Briefings in bioinformatics · 2024Article
- Accuracy of genomic prediction using multiple Atlantic salmon populations.Genetics, selection, evolution : GSE · 2024Article
- Genomic Prediction of Growth Traits in Yorkshire Pigs of Different Reference Group Sizes Using Different Estimated Breeding Value Models.Animals : an open access journal from MDPI · 2024Article
- Article
- Genomic selection for resistance to one pathogenic strain ofFrontiers in genetics · 2024Article
- Genomic prediction based on a joint reference population for the Xinjiang Brown cattle.Frontiers in genetics · 2024Article
- Multibreed genomic prediction using summary statistics and a breed-origin-of-alleles approach.Heredity · 2023Article
- Improving the accuracy of genomic prediction for meat quality traits using whole genome sequence data in pigs.Journal of animal science and biotechnology · 2023Article
- Improving Genomic Prediction Accuracy in the Chinese Holstein Population by Combining with the Nordic Holstein Reference Population.Animals : an open access journal from MDPI · 2023Article
20 more citing papers are in PubMed but not listed here.
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Authors and funding
13 authors.
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Abstract
backgroundSize of the reference population and reliability of phenotypes are crucial factors influencing the reliability of genomic predictions. It is therefore useful to combine closely related populations. Increased accuracies of genomic predictions depend on the number of individuals added to the reference population, the reliability of their phenotypes, and the relatedness of the populations that are combined.
methodsThis paper assesses the increase in reliability achieved when combining four Holstein reference populations of 4000 bulls each, from European breeding organizations, i.e. UNCEIA (France), VikingGenetics (Denmark, Sweden, Finland), DHV-VIT (Germany) and CRV (The Netherlands, Flanders). Each partner validated its own bulls using their national reference data and the combined data, respectively.
resultsCombining the data significantly increased the reliability of genomic predictions for bulls in all four populations. Reliabilities increased by 10%, compared to reliabilities obtained with national reference populations alone, when they were averaged over countries and the traits evaluated. For different traits and countries, the increase in reliability ranged from 2% to 19%.
conclusionsGenomic selection programs benefit greatly from combining data from several closely related populations into a single large reference population.
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