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Commercial implementation of genomic selection in Tasmanian Atlantic salmon: Scheme evolution and validation

Genomic information was included for the first time in the prediction of breeding values for Atlantic salmon within the Australian Salmon Enterprises of Tasmania Pty Ltd selective breeding program in 2016. The process to realize genomic selection in the breeding program begun in 2014 with the scheme...

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Autores principales: Verbyla, Klara L., Kube, Peter D., Evans, Bradley S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046822/
https://www.ncbi.nlm.nih.gov/pubmed/35505884
http://dx.doi.org/10.1111/eva.13304
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author Verbyla, Klara L.
Kube, Peter D.
Evans, Bradley S.
author_facet Verbyla, Klara L.
Kube, Peter D.
Evans, Bradley S.
author_sort Verbyla, Klara L.
collection PubMed
description Genomic information was included for the first time in the prediction of breeding values for Atlantic salmon within the Australian Salmon Enterprises of Tasmania Pty Ltd selective breeding program in 2016. The process to realize genomic selection in the breeding program begun in 2014 with the scheme finalized and fully implemented for the first time in 2018. The high potential of within family selection to accelerate genetic gain, something not possible using the traditional pedigree‐based approach, provided the impetus for implementation. Efficient and effective genotyping platforms are essential for genomic selection. Genotype data from high density arrays revealed extensive persistence of linkage disequilibrium in the Tasmania Atlantic salmon population, resulting in high accuracies of both imputation and genomic breeding values when using imputed data. Consequently, a low‐density novel genotype‐by‐sequence assay was designed and incorporated into the scheme. Through the use of a static high‐ and dynamic low‐density genotyping platforms, an optimized genotyping scheme was devised and implemented such that all individuals in every year class are genotyped efficiently while maximizing the genetic gains and minimizing costs. The increase in the rates of genetic gain attributed to the implementation of genomic selection is significant across both the breeding programs primary and secondary traits. Substantial improvement in the ability to select parents prior to progeny testing is observed across multiple years. The resultant economic impacts for the industry are considerable based on the increases in genetic gain for traits achieved within the breeding program and the use of genomic selection for commercial production.
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spelling pubmed-90468222022-05-02 Commercial implementation of genomic selection in Tasmanian Atlantic salmon: Scheme evolution and validation Verbyla, Klara L. Kube, Peter D. Evans, Bradley S. Evol Appl Special Issue Original Articles Genomic information was included for the first time in the prediction of breeding values for Atlantic salmon within the Australian Salmon Enterprises of Tasmania Pty Ltd selective breeding program in 2016. The process to realize genomic selection in the breeding program begun in 2014 with the scheme finalized and fully implemented for the first time in 2018. The high potential of within family selection to accelerate genetic gain, something not possible using the traditional pedigree‐based approach, provided the impetus for implementation. Efficient and effective genotyping platforms are essential for genomic selection. Genotype data from high density arrays revealed extensive persistence of linkage disequilibrium in the Tasmania Atlantic salmon population, resulting in high accuracies of both imputation and genomic breeding values when using imputed data. Consequently, a low‐density novel genotype‐by‐sequence assay was designed and incorporated into the scheme. Through the use of a static high‐ and dynamic low‐density genotyping platforms, an optimized genotyping scheme was devised and implemented such that all individuals in every year class are genotyped efficiently while maximizing the genetic gains and minimizing costs. The increase in the rates of genetic gain attributed to the implementation of genomic selection is significant across both the breeding programs primary and secondary traits. Substantial improvement in the ability to select parents prior to progeny testing is observed across multiple years. The resultant economic impacts for the industry are considerable based on the increases in genetic gain for traits achieved within the breeding program and the use of genomic selection for commercial production. John Wiley and Sons Inc. 2021-10-11 /pmc/articles/PMC9046822/ /pubmed/35505884 http://dx.doi.org/10.1111/eva.13304 Text en © 2021 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Issue Original Articles
Verbyla, Klara L.
Kube, Peter D.
Evans, Bradley S.
Commercial implementation of genomic selection in Tasmanian Atlantic salmon: Scheme evolution and validation
title Commercial implementation of genomic selection in Tasmanian Atlantic salmon: Scheme evolution and validation
title_full Commercial implementation of genomic selection in Tasmanian Atlantic salmon: Scheme evolution and validation
title_fullStr Commercial implementation of genomic selection in Tasmanian Atlantic salmon: Scheme evolution and validation
title_full_unstemmed Commercial implementation of genomic selection in Tasmanian Atlantic salmon: Scheme evolution and validation
title_short Commercial implementation of genomic selection in Tasmanian Atlantic salmon: Scheme evolution and validation
title_sort commercial implementation of genomic selection in tasmanian atlantic salmon: scheme evolution and validation
topic Special Issue Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046822/
https://www.ncbi.nlm.nih.gov/pubmed/35505884
http://dx.doi.org/10.1111/eva.13304
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