ArticleBMC genomics2021
Exploring the size of reference population for expected accuracy of genomic prediction using simulated and real data in Japanese Black cattle.
Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Effect of founder breeds on genotype imputation accuracy in Canchim cattle.Journal of applied genetics · 2026Article
- Large scale wheat data integration improves genomic prediction accuracy with the potential to facilitate international breeding collaborations.Communications biology · 2026Article
- Strategic global data integration to improve genomic prediction accuracy in tree breeding programs facing resource limitations, a case study in mango.Horticulture research · 2026Article
- Indirect Genomic Predictions for Indicine Cattle Breeds With SNP Effects From a Multi-Breed Genomic Evaluation.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Comparison of GBLUP and WGBLUP in genomic selection for beef cattle under different LD patterns and mixed multi-population scenarios: a simulation study.BMC genomics · 2025Article
- Genetic parameters estimation and optimization of genomic selection in mud crab (Scylla paramamosain): a case study for growth-related traits.BMC genomics · 2025Article
- Effect of using preselected markers from imputed whole-genome sequence for genomic prediction in Angus cattle.Genetics, selection, evolution : GSE · 2025Article
- Evaluation of imputation performance based on the single nucleotide polymorphism panel density and the reference population size in Korean native chicken.Animal bioscience · 2025Article
- Weighted GBLUP in Simulated Beef Cattle Populations: Impact of Reference Population, Marker Density, and Heritability.Animals : an open access journal from MDPI · 2025Article
- Performance of weighted genomic BLUP and Bayesian methods for Hanwoo carcass traits.Tropical animal health and production · 2025Article
- Improved genomic prediction accuracy by genetic relatedness using a crossbred pig population.Translational animal science · 2025Article
- Article
- Impacts of reference population size and methods on the accuracy of genomic prediction for fleece traits in Inner Mongolia Cashmere Goats.Frontiers in veterinary science · 2024Article
- Article
- Accuracy of genomic prediction of maternal traits in pigs using Bayesian variable selection methods.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2022Article
- Genomic dissection of repeatability considering additive and nonadditive genetic effects for semen production traits in beef and dairy bulls.Journal of animal science · 2022Article
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39 authors.
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Abstract
backgroundSize of reference population is a crucial factor affecting the accuracy of prediction of the genomic estimated breeding value (GEBV). There are few studies in beef cattle that have compared accuracies achieved using real data to that achieved with simulated data and deterministic predictions. Thus, extent to which traits of interest affect accuracy of genomic prediction in Japanese Black cattle remains obscure. This study aimed to explore the size of reference population for expected accuracy of genomic prediction for simulated and carcass traits in Japanese Black cattle using a large amount of samples.
resultsA simulation analysis showed that heritability and size of reference population substantially impacted the accuracy of GEBV, whereas the number of quantitative trait loci did not. The estimated numbers of independent chromosome segments (M
conclusionOur simulation analysis demonstrated that the expected accuracy of GEBV for a polygenic trait with low-to-moderate heritability could be practical in Japanese Black cattle population. For carcass traits, a total of 7000-11,000 animals can be a sufficient size of reference population for genomic prediction.
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