ArticleMarine biotechnology (New York, N.Y.)2019
Evaluation of Genomic Selection for Seven Economic Traits in Yellow Drum (Nibea albiflora).
Article in Marine biotechnology (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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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Who cites it
12 citing papers in PubMed, 44 citations in OpenAlex.
- Estimation of Genetic Parameters for Growth Traits and Genomic Selection Study in Siniperca Scherzeri.Marine biotechnology (New York, N.Y.) · 2026Article
- Genome-wide association and transcriptomic analysis and the identification of growth-related genes in Macrobrachium nipponense.BMC genomics · 2024Article
- Deep learning for genomic selection of aquatic animals.Marine life science & technology · 2024Review
- Advances in biotechnology and breeding innovations in China's marine aquaculture.Advanced biotechnology · 2024Review
- Ensemble learning for integrative prediction of genetic values with genomic variants.BMC bioinformatics · 2024Article
- Spleen Transcriptome Profiling Reveals Divergent Immune Responses to LPS and Poly (I:C) Challenge in the Yellow Drum (International journal of molecular sciences · 2023Article
- Article
- First genomic prediction and genome-wide association for complex growth-related traits in Rock Bream (Evolutionary applications · 2022Article
- Impact of genotypic errors with equal and unequal family contribution on accuracy of genomic prediction in aquaculture using simulation.Scientific reports · 2021Article
- Prediction Accuracies of Genomic Selection for Nine Commercially Important Traits in the Portuguese Oyster (Genes · 2021Article
- Genomic Prediction for Whole Weight, Body Shape, Meat Yield, and Color Traits in the Portuguese OysterFrontiers in genetics · 2021Article
- Harnessing genomics to fast-track genetic improvement in aquaculture.Nature reviews. Genetics · 2020Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Yellow drum (Nibea albiflora) is an important maricultural fish in China, and genetic improvement is necessary for this species. This research evaluated the application of genomic selection methods to predict the genetic values of seven economic traits for yellow drum. Using genome-wide single-nucleotide polymorphisms (SNPs), we estimated the genetic parameters for seven traits, including body length (BL), swimming bladder index (SBI), swimming bladder weight (SBW), body thickness (BT), body height (BH), body length/body height ratio (LHR), and gonad weight index (GWI). The heritability estimates ranged from 0.309 to 0.843. We evaluated the prediction performance of various statistical methods, and no one method provided the highest predictive ability for all traits. We then evaluated and compared the use of genome-wide association study (GWAS)-informative SNPs and random SNPs for prediction and found that GWAS-informative SNPs obviously increased. It only needed 5 and 100 informative SNPs for LHR and BT to achieve almost the same predictive abilities as using genome-wide SNPs, and for BL, SBI, SBW, BH, and GWI, about 1000 to 3000 informative SNPs were needed to achieve whole-genome level predictive abilities. It can be concluded from the test results that breeders can use fewer SNPs to save the breeding costs of genomic selection for some traits.
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Registered trials
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