Estimation of genetic parameters for upper thermal tolerances and growth-related traits in turbot <i>Scophthalmus maximus</i> -- Journal of Oceanology and Limnology,2019,37(5):1736-1745

	Cite this paper:
	WANG Xin'an, MA Aijun, HUANG Zhihui, SUN Zhibin, CUI Wenxiao, QU Jiangbo, YU Hong. Estimation of genetic parameters for upper thermal tolerances and growth-related traits in turbot Scophthalmus maximus[J]. Journal of Oceanology and Limnology, 2019, 37(5): 1736-1745

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

WANG Xin'an^1,2, MA Aijun^1,2, HUANG Zhihui^1,2, SUN Zhibin^1,2, CUI Wenxiao^1,2, QU Jiangbo³, YU Hong^1,2

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

Abstract:

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 (THRl) 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 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.

Key words: Scophthalmus maximus|upper thermal tolerance|genetic parameters|cross-sectional models

Received: 2017-10-15 Revised: 2018-04-10

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