ArticleEvolutionary applications2022
Commercial implementation of genomic selection in Tasmanian Atlantic salmon: Scheme evolution and validation.
Article in Evolutionary applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Investigating the genetic basis of susceptibility to amoebic gill disease and idiopathic gill lesions in Atlantic salmon populations using field data.Genetics, selection, evolution : GSE · 2026Article
- Genetic Differentiation and Selection Signatures Revealed by Two Successive Genomic Selection of Large Yellow Croaker Against ParasiteEvolutionary applications · 2025Article
- Advancing genetic improvement in the omics era: status and priorities for United States aquaculture.BMC genomics · 2025Review
- First insight of the genome-wide association study and genomic prediction into enteritis disease (Frontiers in immunology · 2024Article
- Design and validation of a high-density single nucleotide polymorphism array for the Eastern oyster (Crassostrea virginica).G3 (Bethesda, Md.) · 2023Article
- Commercial implementation of genomic selection in Tasmanian Atlantic salmon: Scheme evolution and validation.Evolutionary applications · 2022Article
- Genomics applied to livestock and aquaculture breeding.Evolutionary applications · 2022Review
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3 authors.
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Abstract
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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