ArticleMethods in molecular biology (Clifton, N.J.)2022
Genomic Selection in Aquaculture Species.
Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Integrating Epistatic Interactions into Genomic Prediction of Growth and Fillet Fat Content in Common Carp.International journal of molecular sciences · 2026Article
- Molecular Regulation of Growth in Aquaculture: From Genes to Sustainable Production.Life (Basel, Switzerland) · 2025Review
- Genomic Prediction for Growth-Related Traits in Golden Pompano (Evolutionary applications · 2025Article
- Multi-Trait Genomic Prediction of Meat Yield in Pacific Whiteleg Shrimp (Animals : an open access journal from MDPI · 2025Article
- A cost-effective method for combining the power of genetic and epigenetic selection in animal production.Environmental epigenetics · 2025Article
- Deep learning for genomic selection of aquatic animals.Marine life science & technology · 2024Review
- The Direct Effects of Climate Change on Tench (Animals : an open access journal from MDPI · 2024Article
- Genetic improvement and genomic resources of important cyprinid species: status and future perspectives for sustainable production.Frontiers in genetics · 2024Review
- Effects of common full-sib families on accuracy of genomic prediction for tagging weight in striped catfishFrontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To date, genomic prediction has been conducted in about 20 aquaculture species, with a preference for intra-family genomic selection (GS). For every trait under GS, the increase in accuracy obtained by genomic estimated breeding values instead of classical pedigree-based estimation of breeding values is very important in aquaculture species ranging from 15% to 89% for growth traits, and from 0% to 567% for disease resistance. Although the implementation of GS in aquaculture is of little additional investment in breeding programs already implementing sib testing on pedigree, the deployment of GS remains sparse, but could be boosted by adaptation of cost-effective imputation from low-density panels. Moreover, GS could help to anticipate the effect of climate change by improving sustainability-related traits such as production yield (e.g., carcass or fillet yields), feed efficiency or disease resistance, and by improving resistance to environmental variation (tolerance to temperature or salinity variation). This chapter synthesized the literature in applications of GS in finfish, crustaceans and molluscs aquaculture in the present and future breeding programs.
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Registered trials
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 Socratic graph.