| 利用限制性最大似然方法和贝叶斯方法估计大菱鲆生长性状的遗传参数。 |
| |
| 引用本文： | 官健涛,王伟继,胡玉龙,王陌桑,田涛,孔杰.利用限制性最大似然方法和贝叶斯方法估计大菱鲆生长性状的遗传参数。[J].海洋学报(英文版),2017,36(6):47-51. |
| |
| 作者姓名： | 官健涛 王伟继 胡玉龙 王陌桑 田涛 孔杰 |
| |
| 作者单位： | 中国海洋大学, 青岛 266003, 中国;黄海水产研究所, 中国水产科学研究院, 青岛 266071, 中国,黄海水产研究所, 中国水产科学研究院, 青岛 266071, 中国,黄海水产研究所, 中国水产科学研究院, 青岛 266071, 中国,黄海水产研究所, 中国水产科学研究院, 青岛 266071, 中国;上海海洋大学, 上海 201306, 中国,黄海水产研究所, 中国水产科学研究院, 青岛 266071, 中国;上海海洋大学, 上海 201306, 中国,黄海水产研究所, 中国水产科学研究院, 青岛 266071, 中国 |
| |
| 基金项目： | The Taishan Scholar Program for Seed Industry under contract No. ZR2014CQ001; the National High Technology Research and Development Program of China under contract No. 2012AA10A408-7. |
| |
| 摘 要： | Bayesian and restricted maximum likelihood(REML) approaches were used to estimate the genetic parameters in a cultured turbot Scophthalmus maximus stock. The data set consisted of harvest body weight from 2 462progenies(17 months old) from 28 families that were produced through artificial insemination using 39 parent fish. An animal model was applied to partition each weight value into a fixed effect, an additive genetic effect, and a residual effect. The average body weight of each family, which was measured at 110 days post-hatching, was considered as a covariate. For Bayesian analysis, heritability and breeding values were estimated using both the posterior mean and mode from the joint posterior conditional distribution. The results revealed that for additive genetic variance, the posterior mean estimate( δ_a~2=9 320) was highest but with the smallest residual variance,REML estimates( δ_a~2=8 088) came second and the posterior mode estimate( δ_a~2=7 849) was lowest. The corresponding three heritability estimates followed the same trend as additive genetic variance and they were all high. The Pearson correlations between each pair of the three estimates of breeding values were all high,particularly that between the posterior mean and REML estimates(0.996 9). These results reveal that the differences between Bayesian and REML methods in terms of estimation of heritability and breeding values were small. This study provides another feasible method of genetic parameter estimation in selective breeding programs of turbot.
|
| 关 键 词： | 大菱鲆 生长性状 遗传力 育种值 限制性最大似然方法 贝叶斯方法 |
| 收稿时间： | 2015/5/21 0:00:00 |
| 修稿时间： | 2015/9/14 0:00:00 |
Estimation of genetic parameters for growth trait of turbot using Bayesian and REML approaches |
| |
| GUAN Jiantao,WANG Weiji,HU Yulong,WANG Mosang,TIAN Tao and KONG Jie.Estimation of genetic parameters for growth trait of turbot using Bayesian and REML approaches[J].Acta Oceanologica Sinica,2017,36(6):47-51. |
| |
| Authors: | GUAN Jiantao WANG Weiji HU Yulong WANG Mosang TIAN Tao and KONG Jie |
| |
| Institution: | 1.Ocean University of China, Qingdao 266003, China;Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China2.Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China3.Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China;Shanghai Ocean University, Shanghai 201306, China |
| |
| Abstract: | Bayesian and restricted maximum likelihood (REML) approaches were used to estimate the genetic parameters in a cultured turbot Scophthalmus maximus stock. The data set consisted of harvest body weight from 2 462 progenies (17 months old) from 28 families that were produced through artificial insemination using 39 parent fish. An animal model was applied to partition each weight value into a fixed effect, an additive genetic effect, and a residual effect. The average body weight of each family, which was measured at 110 days post-hatching, was considered as a covariate. For Bayesian analysis, heritability and breeding values were estimated using both the posterior mean and mode from the joint posterior conditional distribution. The results revealed that for additive genetic variance, the posterior mean estimate (σ2a=9320) was highest but with the smallest residual variance, REML estimates (σ2a=8088) came second and the posterior mode estimate (σ2a=7849) was lowest. The corresponding three heritability estimates followed the same trend as additive genetic variance and they were all high. The Pearson correlations between each pair of the three estimates of breeding values were all high, particularly that between the posterior mean and REML estimates (0.9969). These results reveal that the differences between Bayesian and REML methods in terms of estimation of heritability and breeding values were small. This study provides another feasible method of genetic parameter estimation in selective breeding programs of turbot. |
| |
| Keywords: | turbot growth traits heritability breeding values REML Bayesian |
| 本文献已被 CNKI SpringerLink 等数据库收录！ |
| 点击此处可从《海洋学报(英文版)》浏览原始摘要信息 |
| 点击此处可从《海洋学报(英文版)》下载免费的PDF全文 |
|
