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Development of genomic predictions for harvest and carcass weight in channel catfish.
- Source :
-
Genetics, selection, evolution : GSE [Genet Sel Evol] 2018 Dec 14; Vol. 50 (1), pp. 66. Date of Electronic Publication: 2018 Dec 14. - Publication Year :
- 2018
-
Abstract
- Background: Catfish 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 (nā=ā27,160) and residual carcass weight (nā=ā6020), 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.<br />Results: Compared 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).<br />Conclusions: Genomic 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.
- Subjects :
- Animal Husbandry methods
Animals
Body Weight genetics
Breeding
Female
Genome-Wide Association Study
Genomics methods
Genotype
Male
Models, Genetic
Pedigree
Phenotype
Polymorphism, Single Nucleotide genetics
Quantitative Trait Loci
Quantitative Trait, Heritable
Forecasting methods
Ictaluridae genetics
Selective Breeding genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1297-9686
- Volume :
- 50
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Genetics, selection, evolution : GSE
- Publication Type :
- Academic Journal
- Accession number :
- 30547740
- Full Text :
- https://doi.org/10.1186/s12711-018-0435-5