ArticleGenetics, selection, evolution : GSE2018
Development of genomic predictions for harvest and carcass weight in channel catfish.
Article in Genetics, selection, evolution : GSE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed, 85 citations in OpenAlex.
- Transition from Conventional to Genomic Selection (ssGBLUP) led to improve in accuracy gains and selection decisions in Sahiwal Cattle.Scientific reports · 2026Article
- Development and Applications of a 1K SNP Panel for Whiteleg Shrimp: From Pedigree Reconstruction to Genomic Selection.International journal of molecular sciences · 2026Article
- Article
- Genome-wide Association Study Identifies SNPs and Candidate Genes Associated with Abdominal Meat Weight and Meat Yield of red Swamp Crayfish Procambarus clarkii.Marine biotechnology (New York, N.Y.) · 2026Article
- Evaluating Adjusted ssGBLUP Models for Genomic Prediction and Matrix Compatibility in South African Holstein Cattle.Animals : an open access journal from MDPI · 2026Article
- Estimation of Genetic Parameters for Growth Traits and Genomic Selection Study in Siniperca Scherzeri.Marine biotechnology (New York, N.Y.) · 2026Article
- Machine learning for genomic prediction of growth traits in aquaculture: a case study of the Australasian snapper (Chrysophrys auratus).BMC bioinformatics · 2025Article
- Genomic Prediction for Growth-Related Traits in Golden Pompano (Evolutionary applications · 2025Article
- Review
- Genetic Parameter Estimation of Body Weight andAnimals : an open access journal from MDPI · 2025Article
- Multi-Trait Genomic Prediction of Meat Yield in Pacific Whiteleg Shrimp (Animals : an open access journal from MDPI · 2025Article
- Genomic Evaluation of Harvest Weight Uniformity inBiology · 2025Article
- Genome-wide association study for feed efficiency indicator traits in Nellore cattle considering genotype-by-environment interactions.Frontiers in genetics · 2025Article
- Characterization of Kiss/Kissr system and expression profiling through developmental stages indicate kiss1 to be the active isotype in Clarias magur.Fish physiology and biochemistry · 2024Article
- Weighted single-step genome-wide association study for direct and maternal genetic effects associated with birth and weaning weights in sheep.Scientific reports · 2024Article
- Potential negative effects of genomic selection.Journal of animal science · 2024Article
- First Genomic Prediction of Single-Step Models in Large Yellow Croaker.Marine biotechnology (New York, N.Y.) · 2023Article
- Genomic selection models substantially improve the accuracy of genetic merit predictions for fillet yield and body weight in rainbow trout using a multi-trait model and multi-generation progeny testing.Genetics, selection, evolution : GSE · 2023Article
- Prediction ability for growth and maternal traits using SNP arrays based on different marker densities in Nellore cattle using the ssGBLUP.Journal of applied genetics · 2022Article
- First genomic prediction and genome-wide association for complex growth-related traits in Rock Bream (Evolutionary applications · 2022Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundCatfish farming is the largest segment of US aquaculture and research is ongoing to improve production efficiency, including genetic selection programs to improve economically important traits. The objectives of this study were to investigate the use of genomic selection to improve breeding value accuracy and to identify major single nucleotide polymorphisms (SNPs) associated with harvest weight and residual carcass weight in a channel catfish population. Phenotypes were available for harvest weight (n = 27,160) and residual carcass weight (n = 6020), and 36,365 pedigree records were available. After quality control, genotypes for 54,837 SNPs were available for 2911 fish. Estimated breeding values (EBV) were obtained with traditional pedigree-based best linear unbiased prediction (BLUP) and genomic (G)EBV were estimated with single-step genomic BLUP (ssGBLUP). EBV and GEBV prediction accuracies were evaluated using different validation strategies. The ability to predict future performance was calculated as the correlation between EBV or GEBV and adjusted phenotypes.
resultsCompared to the pedigree BLUP, ssGBLUP increased predictive ability up to 28% and 36% for harvest weight and residual carcass weight, respectively; and GEBV were superior to EBV for all validation strategies tested. Breeding value inflation was assessed as the regression coefficient of adjusted phenotypes on breeding values, and the results indicated that genomic information reduced breeding value inflation. Genome-wide association studies based on windows of 20 adjacent SNPs indicated that both harvest weight and residual carcass weight have a polygenic architecture with no major SNPs (the largest SNPs explained 0.96 and 1.19% of the additive genetic variation for harvest weight and residual carcass weight respectively).
conclusionsGenomic evaluation improves the ability to predict future performance relative to traditional BLUP and will allow more accurate identification of genetically superior individuals within catfish families.
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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.