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Genetic effects of ibreeding on growth trajectories in turbot (Scophthalmus maximus)

文献类型: 外文期刊

作者: Yang, Li'ang 1 ; Wang, Lijuan 2 ; Wu, Zhihao 2 ; Hao, Zhiyu 3 ; Song, Zongcheng 4 ; You, Feng 2 ; Yang, Runqing 1 ;

作者机构: 1.Northeast Agr Univ, Coll Anim Sci & Technol, Harbin 150030, Peoples R China

2.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Expt Marine Biol, Qingdao 266071, Peoples R China

3.Chinese Acad Fishery Sci, Res Ctr Aquat Biotechnol, Beijing 100141, Peoples R China

4.Weihai Shenghang Aquaculture Sci Technol Ltd Co, Weihai 264200, Peoples R China

关键词: Growth trait; Inbreeding depression; Dynamic heritabilities; Random regression model; Turbot

期刊名称:AQUACULTURE ( 影响因子:3.224; 五年影响因子:3.591 )

ISSN: 0044-8486

年卷期: 2021 年 536 卷

页码:

收录情况: SCI

摘要: In order to investigate genetic effects of inbreeding on growth trajectories in turbot (Scophthalmus maximus), we produced multiple families by out-crossing for one generation, and then self-crossing for one or two continuous generations, and repeatedly measured body weight (BWE), body length (BL), and body width (BW) on 1082 fish. The random regression models (RRMs) were constructed by fitting changes in fixed and random effects with optimal growth curve, 3-order Legendre polynomial for each trait. Comparison in genetic effects among three inbreeding groups indicated that inbreeding affected BL more strongly than BWE and BW, and BWE showed the lowest inbreeding depression among the three growth traits. In course of growths, inbreeding depressions of the analyzed traits were not necessarily linear with inbreeding degrees, also depended on days of ages. Meanwhile, the dynamic heritabilities for the three growth traits tended to exhibit a parabolic tendency between 300 and 900 growth days, with ranges of 0.382-0.913. The growth traits in the early growth days consistently showed low genetic correlations with those in the later growth days, with estimates of 0.313 above. When the inbreeding coefficients were excluded from relationship matrix, the heritabilities and genetic correlations were underestimated.

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