ArticleFrontiers in genetics2019
Optimizing Genomic Prediction of Host Resistance to Koi Herpesvirus Disease in Carp.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 57 citations in OpenAlex.
- Impact of genomic selection for disease resistance on the spread of infection in a simulated aquaculture population.Genetics, selection, evolution : GSE · 2026Article
- Role of multi-omics in aquaculture genetics and breeding: current status and future perspective.Science China. Life sciences · 2025Review
- Genetic diversity of Olive flounder (Paralichthys olivaceus) and the impact of selective breeding on Korean populations.PloS one · 2025Article
- Deep learning for genomic selection of aquatic animals.Marine life science & technology · 2024Review
- Genetic improvement and genomic resources of important cyprinid species: status and future perspectives for sustainable production.Frontiers in genetics · 2024Review
- Viral nervous necrosis resistance in gilthead sea bream (Sparus aurata) at the larval stage: heritability and accuracy of genomic prediction with different training and testing settings.Genetics, selection, evolution : GSE · 2023Article
- Evaluation of low-density SNP panels and imputation for cost-effective genomic selection in four aquaculture species.Frontiers in genetics · 2023Article
- Article
- Animal board invited review: Widespread adoption of genetic technologies is key to sustainable expansion of global aquaculture.Animal : an international journal of animal bioscience · 2022Review
- Genomic Predictions of Phenotypes and Pseudo-Phenotypes for Viral Nervous Necrosis Resistance, Cortisol Concentration, Antibody Titer and Body Weight in European Sea Bass.Animals : an open access journal from MDPI · 2022Article
- Genomic Selection in Aquaculture Species.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Tomato genomic prediction for good performance under high-temperature and identification of loci involved in thermotolerance response.Horticulture research · 2021Article
- Genomic Selection and Genome-wide Association Study for Feed-Efficiency Traits in a Farmed Nile Tilapia (Frontiers in genetics · 2021Article
- Development of a SNP linkage map and genome-wide association study for resistance to Aeromonas hydrophila in pacu (Piaractus mesopotamicus).BMC genomics · 2020Article
- Harnessing genomics to fast-track genetic improvement in aquaculture.Nature reviews. Genetics · 2020Review
- Optimizing Low-Cost Genotyping and Imputation Strategies for Genomic Selection in Atlantic Salmon.G3 (Bethesda, Md.) · 2020Article
- Genomic Prediction Using Low Density Marker Panels in Aquaculture: Performance Across Species, Traits, and Genotyping Platforms.Frontiers in genetics · 2020Article
- Scanning of Genetic Variants and Genetic Mapping of Phenotypic Traits in Gilthead Sea Bream Through ddRAD Sequencing.Frontiers in genetics · 2019Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genomic selection (GS) is increasingly applied in breeding programs of major aquaculture species, enabling improved prediction accuracy and genetic gain compared to pedigree-based approaches. Koi Herpesvirus disease (KHVD) is notifiable by the World Organization for Animal Health and the European Union, causing major economic losses to carp production. GS has potential to breed carp with improved resistance to KHVD, thereby contributing to disease control. In the current study, Restriction-site Associated DNA sequencing (RAD-seq) was applied on a population of 1,425 common carp juveniles which had been challenged with Koi herpes virus, followed by sampling of survivors and mortalities. GS was tested on a wide range of scenarios by varying both SNP densities and the genetic relationships between training and validation sets. The accuracy of correctly identifying KHVD resistant animals using GS was between 8 and 18% higher than pedigree best linear unbiased predictor (pBLUP) depending on the tested scenario. Furthermore, minor decreases in prediction accuracy were observed with decreased SNP density. However, the genetic relationship between the training and validation sets was a key factor in the efficacy of genomic prediction of KHVD resistance in carp, with substantially lower prediction accuracy when the relationships between the training and validation sets did not contain close relatives.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.