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Development of genomic predictions for harvest and carcass weight in channel catfish

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 breed...

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Autores principales: Garcia, Andre L. S., Bosworth, Brian, Waldbieser, Geoffrey, Misztal, Ignacy, Tsuruta, Shogo, Lourenco, Daniela A. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6295041/
https://www.ncbi.nlm.nih.gov/pubmed/30547740
http://dx.doi.org/10.1186/s12711-018-0435-5
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author Garcia, Andre L. S.
Bosworth, Brian
Waldbieser, Geoffrey
Misztal, Ignacy
Tsuruta, Shogo
Lourenco, Daniela A. L.
author_facet Garcia, Andre L. S.
Bosworth, Brian
Waldbieser, Geoffrey
Misztal, Ignacy
Tsuruta, Shogo
Lourenco, Daniela A. L.
author_sort Garcia, Andre L. S.
collection PubMed
description 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 (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. 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). 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.
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spelling pubmed-62950412018-12-18 Development of genomic predictions for harvest and carcass weight in channel catfish Garcia, Andre L. S. Bosworth, Brian Waldbieser, Geoffrey Misztal, Ignacy Tsuruta, Shogo Lourenco, Daniela A. L. Genet Sel Evol Research Article 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 (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. 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). 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. BioMed Central 2018-12-14 /pmc/articles/PMC6295041/ /pubmed/30547740 http://dx.doi.org/10.1186/s12711-018-0435-5 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Garcia, Andre L. S.
Bosworth, Brian
Waldbieser, Geoffrey
Misztal, Ignacy
Tsuruta, Shogo
Lourenco, Daniela A. L.
Development of genomic predictions for harvest and carcass weight in channel catfish
title Development of genomic predictions for harvest and carcass weight in channel catfish
title_full Development of genomic predictions for harvest and carcass weight in channel catfish
title_fullStr Development of genomic predictions for harvest and carcass weight in channel catfish
title_full_unstemmed Development of genomic predictions for harvest and carcass weight in channel catfish
title_short Development of genomic predictions for harvest and carcass weight in channel catfish
title_sort development of genomic predictions for harvest and carcass weight in channel catfish
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6295041/
https://www.ncbi.nlm.nih.gov/pubmed/30547740
http://dx.doi.org/10.1186/s12711-018-0435-5
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