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因子交配设计中文蛤亲本数目对遗传参数估计的影响
引用本文:梁冰冰,岳欣,王鸿霞,刘保忠.因子交配设计中文蛤亲本数目对遗传参数估计的影响[J].海洋学报(英文版),2016,35(6):42-49.
作者姓名:梁冰冰  岳欣  王鸿霞  刘保忠
作者单位:实验海洋生物学重点实验室, 中国科学院海洋研究所, 青岛 266071;中国科学院大学, 北京 100049,实验海洋生物学重点实验室, 中国科学院海洋研究所, 青岛 266071;青岛海洋科学与技术国家实验室, 青岛 266200,实验海洋生物学重点实验室, 中国科学院海洋研究所, 青岛 266071;青岛海洋科学与技术国家实验室, 青岛 266200,实验海洋生物学重点实验室, 中国科学院海洋研究所, 青岛 266071;青岛海洋科学与技术国家实验室, 青岛 266200
摘    要:The precise and accurate knowledge of genetic parameters is a prerequisite for making efficient selection strategies in breeding programs.A number of estimators of heritability about important economic traits in many marine mollusks are available in the literature,however very few research have evaluated about the accuracy of genetic parameters estimated with different family structures.Thus,in the present study,the effect of parent sample size for estimating the precision of genetic parameters of four growth traits in clam M.meretrix by factorial designs were analyzed through restricted maximum likelihood(REML) and Bayesian.The results showed that the average estimated heritabilities of growth traits obtained from REML were 0.23–0.32 for 9 and 16 full-sib families and 0.19–0.22 for 25 full-sib families.When using Bayesian inference,the average estimated heritabilities were0.11–0.12 for 9 and 16 full-sib families and 0.13–0.16 for 25 full-sib families.Compared with REML,Bayesian got lower heritabilities,but still remained at a medium level.When the number of parents increased from 6 to 10,the estimated heritabilities were more closed to 0.20 in REML and 0.12 in Bayesian inference.Genetic correlations among traits were positive and high and had no significant difference between different sizes of designs.The accuracies of estimated breeding values from the 9 and 16 families were less precise than those from 25 families.Our results provide a basic genetic evaluation for growth traits and should be useful for the design and operation of a practical selective breeding program in the clam M.meretrix.

关 键 词:文蛤  亲本数目  遗传参数  因子设计  限制性最大似然估计法  贝叶斯推论
收稿时间:2015/3/31 0:00:00
修稿时间:2015/9/14 0:00:00

Influence of parental sample sizes on the estimating genetic parameters in cultured clam Meretrix meretrix based on factorial mating designs
LIANG Bingbing,YUE Xin,WANG Hongxia and LIU Baozhong.Influence of parental sample sizes on the estimating genetic parameters in cultured clam Meretrix meretrix based on factorial mating designs[J].Acta Oceanologica Sinica,2016,35(6):42-49.
Authors:LIANG Bingbing  YUE Xin  WANG Hongxia and LIU Baozhong
Institution:1.Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;University of Chinese Academy of Sciences, Beijing 100049, China2.Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266200, China
Abstract:The precise and accurate knowledge of genetic parameters is a prerequisite for making efficient selection strategies in breeding programs. A number of estimators of heritability about important economic traits in many marine mollusks are available in the literature, however very few research have evaluated about the accuracy of genetic parameters estimated with different family structures. Thus, in the present study, the effect of parent sample size for estimating the precision of genetic parameters of four growth traits in clam M. meretrix by factorial designs were analyzed through restricted maximum likelihood (REML) and Bayesian. The results showed that the average estimated heritabilities of growth traits obtained from REML were 0.23-0.32 for 9 and 16 full-sib families and 0.19-0.22 for 25 full-sib families. When using Bayesian inference, the average estimated heritabilities were 0.11-0.12 for 9 and 16 full-sib families and 0.13-0.16 for 25 full-sib families. Compared with REML, Bayesian got lower heritabilities, but still remained at a medium level. When the number of parents increased from 6 to 10, the estimated heritabilities were more closed to 0.20 in REML and 0.12 in Bayesian inference. Genetic correlations among traits were positive and high and had no significant difference between different sizes of designs. The accuracies of estimated breeding values from the 9 and 16 families were less precise than those from 25 families. Our results provide a basic genetic evaluation for growth traits and should be useful for the design and operation of a practical selective breeding program in the clam M. meretrix.
Keywords:Meretrix meretrix  parental sample sizes  genetic parameter  factorial design  restricted maximum likelihood  Bayesian inference
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