Thermal sensitivity of growth indicates heritable variation in 1-year-old rainbow trout (Oncorhynchus mykiss)

Genetics Selection Evolution

Research Article

Juha Koskela¹  Harri Vehviläinen²  Matti Janhunen²  Ngô Phú Thỏa³  Nguyễn Hữu Ninh⁴  Heikki Koskinen⁵  Antti Nousiainen⁵ 

[1] Aquaculture, Natural Resources Institute Finland (Luke), Survontie 9 A, 40500, Jyväskylä, Finland;Biometrical Genetics, Natural Resources Institute Finland (Luke), Myllytie 1, 31600, Jokioinen, Finland;Research Institute for Aquaculture No. 1 (RIA-1), Dinh Bang, Tu Son, Bac Ninh, Vietnam;Research Institute for Aquaculture No. 3 (RIA-3), Nha Trang, Khanh Hoa, Vietnam;Tervo Fish Farm, Natural Resources Institute Finland (Luke), Huuhtajantie 160, 72210, Tervo, Finland;

关键词: Rainbow Trout;    Genetic Correlation;    Feed Intake;    Reaction Norm;    Feed Conversion Ratio;   

DOI  :  10.1186/s12711-016-0272-3

 received in 2016-06-13, accepted in 2016-11-15,  发布年份 2016

来源: Springer

【 摘 要 】

Background Rainbow trout is an important aquaculture species, which has a worldwide distribution across various production environments. The diverse locations of trout farms involve remarkable variation in environmental factors such as water temperature, which is of major importance for the performance of fish. Thus, robust fish that could thrive under different and suboptimal thermal conditions is a desirable goal for trout breeding. Using a split-family experimental design (40 full-/half-sib groups) for a rainbow trout population derived from the Finnish national breeding program, we studied how two different rearing temperatures (14 and 20 °C) affect feed intake, growth rate and feed conversion ratio in 1-year-old fish. Furthermore, we quantified the additive genetic (co-)variation for daily growth coefficient (DGC) and its thermal sensitivity (TS), defined as the slope of the growth reaction norm between the two temperatures.ResultsThe fish showed consistently lower feed intake, faster growth and better feed conversion ratio at the lower temperature. Heritability of TS of DGC was moderate (hTS2=0.24\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$h_{\text{TS}}^{2} = 0.24$$\end{document}). The co-heritability parameter derived from selection index theory, which describes the heritable variance of TS, was negative when the intercept was placed at the lower temperature (−0.28). This resulted in moderate accuracy of selection. At the higher temperature, co-heritability of TS was positive (0.20). The genetic correlation between DGC and its TS was strongly negative (−0.64) when the intercept was at the lower temperature and positive (0.38) but not significantly different from zero at the higher temperature.ConclusionsThe considerable amount of genetic variation in TS of growth indicates a potential for selection response and thus for targeted genetic improvement in TS. The negative genetic correlation between DGC and its TS suggests that selection for high growth rate at the lower temperature will result in more temperature-sensitive fish. Instead, the correlated response of TS is less pronounced if the selection for a higher DGC occurred at the higher temperature. It seems possible to control the correlated genetic change of TS while selecting for fast growth across environments, especially if measurements from both environments are available and breeding values for reaction norm slope are directly included in the selection index.

【 授权许可】

CC BY   
© The Author(s) 2016

【 图 表 】

Fig. 2

Fig. 1

Fig. 5

12951_2016_171_Article_IEq6.gif

Fig. 1

Fig. 4

12951_2015_155_Article_IEq91.gif

Fig. 1

Fig. 1

12951_2016_225_Article_IEq2.gif

Fig. 3

Fig. 6

Fig. 11

Fig. 2

Fig. 2

12951_2016_171_Article_IEq5.gif

13731_2023_319_Article_IEq9.gif

Fig. 3

13731_2023_319_Article_IEq6.gif

Fig. 1

Fig. 7

Fig. 2

Fig. 6

12951_2015_155_Article_IEq88.gif

Fig. 1

Fig. 5

12951_2016_225_Article_IEq3.gif

Fig. 4

12936_2023_4742_Article_IEq70.gif

Fig. 6

Fig. 4

12951_2016_171_Article_IEq3.gif

Fig. 10

Fig. 2

13731_2023_319_Article_IEq4.gif

13731_2023_319_Article_IEq3.gif

Fig. 4

12951_2015_155_Article_IEq86.gif

Fig. 3

Fig. 4

12936_2023_4742_Article_IEq53.gif

Fig. 9

Fig. 6

Fig. 1

Fig. 2

Fig. 1

12951_2016_171_Article_IEq1.gif

12936_2023_4742_Article_IEq36.gif

Fig. 5

Fig. 5

Fig. 3

Fig. 2

Fig. 3

Fig. 1

Fig. 5

12951_2017_252_Article_IEq1.gif

Fig. 4

Fig. 2

Fig. 2

12936_2023_4742_Article_IEq20.gif

Fig. 1

12936_2023_4742_Article_IEq18.gif

Fig. 2

Fig. 5

Fig. 2

Fig. 4

Fig. 6