Estimation of genetic parameters for growth trait of turbot using Bayesian and REML approaches

GUAN Jiantao; WANG Weiji; HU Yulong; WANG Mosang; TIAN Tao; KONG Jie

doi:10.1007/s13131-017-1034-y

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。

doi: 10.1007/s13131-017-1034-y

1.
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
2.
黄海水产研究所, 中国水产科学研究院, 青岛 266071, 中国
3.
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

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.

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出版历程
- 收稿日期: 2015-05-21
- 修回日期: 2015-09-14

Estimation of genetic parameters for growth trait of turbot using Bayesian and REML approaches

1.
Ocean University of China, Qingdao 266003, China;Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
2.
Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
3.
Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China;Shanghai Ocean University, Shanghai 201306, China

摘要

摘要: 利用限制性最大似然方法和贝叶斯方法分别估计大菱鲆养殖群体生长性状的遗传参数。利用39尾亲本进行人工授精育成28个后代家系，采集2462尾17月龄后代的收获体重。动物模型包括固定效应、协方差（孵化后110日龄的家系平均体重）、加性效应和残差。对于贝叶斯分析，根据后验条件分布的平均值和众数来估计遗传力和育种值。结果显示，对于加性效应，贝叶斯的后验均值（9320）是最高的，限制性最大似然方法的估计值（8088）次之，后验众数估计值最小（7849）。相应的三种遗传力估计值呈同样趋势。相应的三种育种值两两之间的皮尔逊相关系数均很高，最高的是后验均值和限制性最大似然方法的估计值（0.9969）。研究结果显示贝叶斯方法和限制性最大似然方法在遗传力和育种值估计方面差异小。本研究为大菱鲆的遗传参数估算提供另一种可行方法。
- 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
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 (σ²_a=9320) was highest but with the smallest residual variance, REML estimates (σ²_a=8088) came second and the posterior mode estimate (σ²_a=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.
- turbot /
- growth traits /
- heritability /
- breeding values /
- REML /
- Bayesian

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参考文献(41)

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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。

doi: 10.1007/s13131-017-1034-y

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出版历程

Estimation of genetic parameters for growth trait of turbot using Bayesian and REML approaches

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