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

• Published in: Genetics selection evolution (Paris) Vol. 56; no. 1; pp. 63 - 12
• Main Authors: Prescott, Leteisha A, Scholtens, Megan R, Walker, Seumas P, Clarke, Shannon M, Dodds, Ken G, Miller, Matthew R, Semmens, Jayson M, Carter, Chris G, Symonds, Jane E
• Format: Journal Article
• Language: English
• Published: France BioMed Central Ltd 12-09-2024; BioMed Central; BMC
• Subjects: Animals; Aquaculture; Aquaculture industry; Condition factor; Correlation; Efficiency; Estimates; Expected values; Feed conversion; Feed efficiency; Feeds; Fish hatcheries; Gene-Environment Interaction; Genetic aspects; Genotype; Genotype & phenotype; Genotype-environment interactions; Genotypes; Growth; Life Sciences; Low flow; Metabolism; Oncorhynchus tshawytscha; Performance evaluation; Phenotype; Physiological aspects; Salinity; Salmon; Salmon - genetics; Salmonids; Seawater; Water flow; New Zealand
• ISSN: 1297-9686; 0999-193X; 1297-9686
• DOI: 10.1186/s12711-024-00929-z

A 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
) and a moderate flow regime (0.8 bl s
).
Genetic 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 (
 ± s.d.) to 583.2 ± 117.1 g (
 ± s.d.). Estimates of genetic and phenotypic correlations between traits did not reveal any unfavorable trait correlations for size- (weight and condition factor) and growth-related traits, regardless of the flow regime, but did suggest measuring feed intake would be the preferred approach to improve feed efficiency because of the strong correlations between feed intake and feed efficiency, consistent with previous studies.
This 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).