Evidence map›Paper›PMID 39266967›Full record

ArticleGenetics, selection, evolution : GSE2024

Genetic parameters and genotype-by-environment interaction estimates for growth and feed efficiency related traits in Chinook salmon, Oncorhynchus tshawytscha, reared under low and moderate flow regimes.

Leteisha A Prescott, Megan R Scholtens, Seumas P Walker, Shannon M Clarke, Ken G Dodds, Matthew R Miller, Jayson M Semmens, Chris G Carter, Jane E Symonds

Abstract read
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Article in Genetics, selection, evolution : GSE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Leteisha A PrescottInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, 7001, Australia. Leteisha.prescott@utas.edu.au.ORCID http://orcid.org/0000-0002-3207-2186
Megan R ScholtensCawthron Institute, Nelson, 7010, New Zealand.
Seumas P WalkerCawthron Institute, Nelson, 7010, New Zealand.
Shannon M ClarkeAgResearch, Invermay Agricultural Centre, Puddle Alley, Mosgiel, 9053, New Zealand.
Ken G DoddsAgResearch, Invermay Agricultural Centre, Puddle Alley, Mosgiel, 9053, New Zealand.
Matthew R MillerInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, 7001, Australia.
Jayson M SemmensInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, 7001, Australia.
Chris G CarterInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, 7001, Australia.
Jane E SymondsInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, 7001, Australia.

Funding

Blue Economy Cooperative Research Centre CRC-20180101Ministry of Business, Innovation and Employment CAWX1606
6 · The paper itself

Abstract

backgroundA genotype-by-environment (G × E) interaction is defined as genotypes responding differently to different environments. In salmonids, G × E interactions can occur in different rearing conditions, including changes in salinity or temperature. However, water flow, an important variable that can influence metabolism, has yet to be considered for potential G × E interactions, although water flows differ across production stages. The salmonid industry is now manipulating flow in tanks to improve welfare and production performance, and expanding sea pen farming offshore, where flow dynamics are substantially greater. Therefore, there is a need to test whether G × E interactions occur under low and higher flow regimes to determine if industry should consider modifying their performance evaluation and selection criteria to account for different flow environments. Here, we used genotype-by-sequencing to create a genomic-relationship matrix of 37 Chinook salmon, Oncorhynchus tshawytscha, families to assess possible G × E interactions for production performance under two flow environments: a low flow regime (0.3 body lengths per second; bl s

resultsGenetic correlations for the same production performance trait between flow regimes suggest there is minimal evidence of a G × E interaction between the low and moderate flow regimes tested in this study, for Chinook salmon reared from 82.9 ± 16.8 g (

conclusionThis new information suggests that Chinook salmon families do not need to be selected separately for performance across different flow regimes. However, further studies are needed to confirm this across a wider range of fish sizes and flows. This information is key for breeding programs to determine if separate evaluation groups are required for different flow regimes that are used for production (e.g., hatchery, post smolt recirculating aquaculture system, or offshore).

Indexed as

Gene-Environment InteractionGenotypeSalmonAnimalsPhenotype

Identifiers

PMID39266967
PMCPMC11396914

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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.