Estimation of genetic parameters and breeding values in shrimp Fenneropenaeus chinensis using the REML/BLUP procedure
文献类型:期刊论文
作者 | Zhang Tianshi1,2; Kong Jie1; Luan Sheng1; Wang Qingyin1; Luo Kun1; Tian Yi3 |
刊名 | ACTA OCEANOLOGICA SINICA
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出版日期 | 2011 |
卷号 | 30期号:1页码:78-86 |
关键词 | Fenneropenaeus Chinensis Animal Model Blup Breeding Value |
ISSN号 | 0253-505X |
DOI | 10.1007/s13131-011-0093-8 |
文献子类 | Article |
英文摘要 | An analysis of a selection experiment was used to assess the impact of various animal model structures on REML estimates of variance components. The analyses were carried out based on 162 d body mass (BM) of 1 287 animals from 21 paternal half-sib groups of Fenneropenaeus chinensis. Estimated breeding values (EBV) of BM of all individuals were estimated using eight statistical models (A, AB, ABC, ABDC, ABMFC, ABMDC, ABFDC and ABMFDC) and BLUP (best linear unbiased prediction). These models were designed involving factors such as sex, spawn date as fixed effects, maternal genetic effects, full-sib family effects as random effects, mean BM of families at tagging and age at recording (covariate). The results demonstrate the importance of correct interpretation of effects in the data set, particularly those that can influence resemblance between relatives. The data structure and the particular model that was applied markedly influenced the magnitude of variance component estimates. Models based on few effects obtained upward biased estimates of additive genetic variance. The accuracy of genetic parameters and breeding value estimated by ABFDC model was higher than other models. The results imply that additive genetic direct value, full-sib family effects, and covariance effects besides sex and spawn date as fixed effects were very important for estimating genetic parameters and breeding value of body mass. This model had a heritability estimate of 162 d BM of 0.44. The comparison of the efficiency of selection based on breeding values or phenotypic value revealed great difference: average breeding value of the best 24 families selected by the 162 d BM breeding value and phenotype were 0.577 g and 0.366 g, respectively, representing a 36.57% higher efficiency in the former. In conclusion, selection based on breeding value was more effective than selection based on phenotypic value. Our results indicate that effects influencing the magnitude of estimates should be taken into account when estimating heritability and breeding values for BM.; An analysis of a selection experiment was used to assess the impact of various animal model structures on REML estimates of variance components. The analyses were carried out based on 162 d body mass (BM) of 1 287 animals from 21 paternal half-sib groups of Fenneropenaeus chinensis. Estimated breeding values (EBV) of BM of all individuals were estimated using eight statistical models (A, AB, ABC, ABDC, ABMFC, ABMDC, ABFDC and ABMFDC) and BLUP (best linear unbiased prediction). These models were designed involving factors such as sex, spawn date as fixed effects, maternal genetic effects, full-sib family effects as random effects, mean BM of families at tagging and age at recording (covariate). The results demonstrate the importance of correct interpretation of effects in the data set, particularly those that can influence resemblance between relatives. The data structure and the particular model that was applied markedly influenced the magnitude of variance component estimates. Models based on few effects obtained upward biased estimates of additive genetic variance. The accuracy of genetic parameters and breeding value estimated by ABFDC model was higher than other models. The results imply that additive genetic direct value, full-sib family effects, and covariance effects besides sex and spawn date as fixed effects were very important for estimating genetic parameters and breeding value of body mass. This model had a heritability estimate of 162 d BM of 0.44. The comparison of the efficiency of selection based on breeding values or phenotypic value revealed great difference: average breeding value of the best 24 families selected by the 162 d BM breeding value and phenotype were 0.577 g and 0.366 g, respectively, representing a 36.57% higher efficiency in the former. In conclusion, selection based on breeding value was more effective than selection based on phenotypic value. Our results indicate that effects influencing the magnitude of estimates should be taken into account when estimating heritability and breeding values for BM. |
学科主题 | Oceanography |
URL标识 | 查看原文 |
语种 | 英语 |
WOS记录号 | WOS:000289699600010 |
公开日期 | 2012-07-03 |
源URL | [http://ir.qdio.ac.cn/handle/337002/12012] ![]() |
专题 | 海洋研究所_海洋生物技术研发中心 |
作者单位 | 1.Chinese Acad Fishery Sci, Key Lab Sustainable Utilizat Marine Fisheries Res, Minist Agr, Yellow Sea Fisheries Res Inst, Qingdao 266071, Peoples R China 2.Ocean Univ China, Coll Life Sci & Technol, Qingdao 266003, Peoples R China 3.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang Tianshi,Kong Jie,Luan Sheng,et al. Estimation of genetic parameters and breeding values in shrimp Fenneropenaeus chinensis using the REML/BLUP procedure[J]. ACTA OCEANOLOGICA SINICA,2011,30(1):78-86. |
APA | Zhang Tianshi,Kong Jie,Luan Sheng,Wang Qingyin,Luo Kun,&Tian Yi.(2011).Estimation of genetic parameters and breeding values in shrimp Fenneropenaeus chinensis using the REML/BLUP procedure.ACTA OCEANOLOGICA SINICA,30(1),78-86. |
MLA | Zhang Tianshi,et al."Estimation of genetic parameters and breeding values in shrimp Fenneropenaeus chinensis using the REML/BLUP procedure".ACTA OCEANOLOGICA SINICA 30.1(2011):78-86. |
入库方式: OAI收割
来源:海洋研究所
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