Estimating genetic parameters with molecular relatedness and pedigree reconstruction for growth traits in early mixed breeding of juvenile turbot

作     者：Song Sun Weiji Wang Yulong Hu Sheng Luan Ding Lyu Jie Kong Song Sun;Weiji Wang;Yulong Hu;Sheng Luan;Ding Lyu;Jie Kong

作者机构：College of Fisheries and Life ScienceShanghai Ocean UniversityShanghai 201306China Laboratory for Marine Fisheries Science and Food Production ProcessesPilot National Laboratory for Marine Science and Technology(Qingdao)Qingdao 266071China Key Laboratory for Sustainable Development of Marine Fisheries Resources of Ministry of AgricultureYellow Sea Fisheries Research InstituteChinese Academy of Fishery SciencesQingdao 266071China 

出 版 物：《Acta Oceanologica Sinica》 (海洋学报（英文版）)

年 卷 期：2021年第40卷第9期

页      面：66-73页

核心收录：

学科分类：0908[农学-水产] 09[农学] 

基　　金：The Agriculture Variety Improvement Project of Shandong Province under contract No. 2019LZGC013 

主　　题：turbot SSR genetic parameter mixed breeding 

摘      要：An introduced turbot population was used to establish families and to estimate genetic parameters of the offspring. However, there is a lack of pedigree information, and common environmental effects can be introduced when each full-sib family is raised in a single tank. Therefore, in the genetic evaluation, SSRs(simple sequence repeats) were used to reconstruct the pedigree and to calculate molecular relatedness between individuals, and the early mixed-family culture model was used to remove the impact of the common environmental effects. After100 d of early mixed culture, twenty SSRs were used to cluster 20 families and to calculate paired molecular relationships(n=880). Additive genetic matrices were constructed using molecular relatedness(MR) and pedigree reconstruction(PR) and were then applied to the same animal model to estimate genetic parameters. Based on PR, the heritabilities for body weight and body length were 0.214±0.124 and 0.117±0.141, and based on MR they were 0.101±0.031 and 0.102±0.034, respectively. Cross validation showed that the accuracies of the estimated breeding values based on MR(body weight and body length of 0.717±0.045 and 0.629±0.141, respectively) were higher than those of PR(body weight and body length of 0.692±0.052 and 0.615±0.060, respectively). The MR method ensure availability of all genotyped selection candidates, thereby improving the accuracy of the breeding value estimation.