Estimation of genetic parameters for upper thermal tolerances and growth-related traits in turbot Scophthalmus maximus  

作　　者：WANG Xin′an MA Aijun HUANG Zhihui SUN Zhibin CUI Wenxiao QU Jiangbo YU Hong 

机构地区：[1]Shandong Key Laboratory of Marine Fisheries Biotechnology and Genetic Breeding,Qingdao Key Laboratory for Marine Fish Breeding and Biotechnology,Yellow Sea Fisheries Research Institute,Chinese Academy of Fishery Sciences,Qingdao 266071,China [2]Laboratory for Marine Biology and Biotechnology,Qingdao National Laboratory for Marine Science and Technology,Qingdao 266071,China [3]Yantai Tianyuan Aquatic Limited Corporation,Yantai 264006,China

出　　处：《Journal of Oceanology and Limnology》2019年第5期1736-1745,共10页海洋湖沼学报（英文）

基　　金：Supported by the Special Funds to the Construction of Modern Agricultural Industry Technology System(No.CARS-47-01);the “Aoshan” Talent Plan of Qingdao National Laboratory for Marine Science and Technology;the Key Research and Development Plan of Shandong Province(No.2016GSF115019);the Agricultural Fine-Breed Project of Shandong Province(No.2016LZGC031)

摘　　要：An abnormally high temperature produces a stress response in turbot causing large economic losses in the turbot aquaculture industry of China. A genetic improvement of the upper thermal tolerance (UTT) of turbot could allow cultured fi sh to adapt. A genetic evaluation of UTT is required for determining the practicability of including this trait into a breeding program. In this study, data were recorded from a temperature tolerance test conducted on 3 200 individual turbots from 32 full-sib groups. A cross-sectional linear model and a cross-sectional threshold probit model were used to analyze the test-period survival and a cross-sectional threshold logit model was used to analyze the test-day survival. In addition, phenotypic and genetic correlations between body weight and survival data were estimated. The estimated heritability values obtained from the cross-sectional linear model (CSL), the cross-sectional threshold (probit) model (THRp), and the cross-sectional threshold (logit) model (THRl) were 0.247 9±0.108 3, 0.288 3±0.161 2, and 0.106 9±0.045 2, respectively. The correlation coeffi cients among the full-sib family estimated breeding values (EBVs) obtained from the three models were greater than 0.998 6 and all models produced an almost identical family ranking. The accuracies of selection obtained with the CSL, THRp, and THRl model were 0.773 8, 0.775 4, and 0.784 4, respectively, the greatest from the THRl model. The genetic correlations between body weight and survival data EBVs from the CSL, THRp, and THRl models were 0.020 1,-6.201 1×10^-4 , and -3.115 4×10^-4 , respectively, and the phenotypic correlations between the two traits were -0.837 1 and -0.667 1, respectively. The findings of this study provide background information to determine the best strategy of selection for the genetic improvement of UTT in turbot.An abnormally high temperature produces a stress response in turbot causing large economic losses in the turbot aquaculture industry of China.A genetic improvement of the upper thermal tolerance(UTT)of turbot could allow cultured fish to adapt.A genetic evaluation of UTT is required for determining the practicability of including this trait into a breeding program.In this study,data were recorded from a temperature tolerance test conducted on 3 200 individual turbots from 32 full-sib groups.A cross-sectional linear model and a cross-sectional threshold probit model were used to analyze the test-period survival and a cross-sectional threshold logit model was used to analyze the test-day survival.In addition,phenotypic and genetic correlations between body weight and survival data were estimated.The estimated heritability values obtained from the cross-sectional linear model(CSL),the cross-sectional threshold(probit)model(THRp),and the cross-sectional threshold(logit)model(THR1)were 0.247 9±0.108 3,0.288 3±0.161 2,and 0.106 9±0.045 2,respectively.The correlation coefficients among the full-sib family estimated breeding values(EBVs)obtained from the three models were greater than 0.998 6 and all models produced an almost identical family ranking.The accuracies of selection obtained with the CSL,THRp,and THR1 model were0.773 8,0.775 4,and 0.784 4,respectively,the greatest from the THR1 model.The genetic correlations between body weight and survival data EBVs from the CSL,THRp,and THR1 models were 0.020 1,-6.201 1 ×10-4,and-3.115 4×10-4,respectively,and the phenotypic correlations between the two traits were-0.837 1 and-0.667 1,respectively.The findings of this study provide background information to determine the best strategy of selection for the genetic improvement of UTT in turbot.

关 键 词：Scophthalmus MAXIMUS UPPER thermal TOLERANCE genetic parameters CROSS-SECTIONAL models 

分 类 号：P[天文地球]