Predictive ability of genomic selection models for breeding value estimation on growth traits of Pacific white shrimp Litopenaeus vannamei

doi:10.1007/s00343-017-6038-0

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	Predictive ability of genomic selection models for breeding value estimation on growth traits of Pacific white shrimp Litopenaeus vannamei
	WANG Quanchao1,2 ; Yu Yang1 ; Li Fuhua 1,3; Zhang Xiaojun 1; Xiang Jianhai1
刊名	CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY
	2017-09-01
卷号	35 期号:5 页码:1221-1229
关键词	Genomic Selection Model Prediction Growth Traits Penaeid Shrimp
DOI	10.1007/s00343-017-6038-0
文献子类	Article
英文摘要	Genomic selection (GS) can be used to accelerate genetic improvement by shortening the selection interval. The successful application of GS depends largely on the accuracy of the prediction of genomic estimated breeding value (GEBV). This study is a first attempt to understand the practicality of GS in Litopenaeus vannamei and aims to evaluate models for GS on growth traits. The performance of GS models in L. vannamei was evaluated in a population consisting of 205 individuals, which were genotyped for 6 359 single nucleotide polymorphism (SNP) markers by specific length amplified fragment sequencing (SLAF-seq) and phenotyped for body length and body weight. Three GS models (RR-BLUP, BayesA, and Bayesian LASSO) were used to obtain the GEBV, and their predictive ability was assessed by the reliability of the GEBV and the bias of the predicted phenotypes. The mean reliability of the GEBVs for body length and body weight predicted by the different models was 0.296 and 0.411, respectively. For each trait, the performances of the three models were very similar to each other with respect to predictability. The regression coefficients estimated by the three models were close to one, suggesting near to zero bias for the predictions. Therefore, when GS was applied in a L. vannamei population for the studied scenarios, all three models appeared practicable. Further analyses suggested that improved estimation of the genomic prediction could be realized by increasing the size of the training population as well as the density of SNPs.
语种	英语
WOS记录号	WOS:000410093300025
内容类型	期刊论文
版本	出版稿
源URL	[http://ir.qdio.ac.cn/handle/337002/143188]
专题	海洋研究所_实验海洋生物学重点实验室
作者单位	1.Chinese Acad Sci, Inst Oceanol, Key Lab Expt Marine Biol, Qingdao 266071, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266071, Peoples R China
推荐引用方式 GB/T 7714	WANG Quanchao,Yu Yang,Li Fuhua,et al. Predictive ability of genomic selection models for breeding value estimation on growth traits of Pacific white shrimp Litopenaeus vannamei[J]. CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2017,35(5):1221-1229.
APA	WANG Quanchao,Yu Yang,Li Fuhua,Zhang Xiaojun,&Xiang Jianhai.(2017).Predictive ability of genomic selection models for breeding value estimation on growth traits of Pacific white shrimp Litopenaeus vannamei.CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,35(5),1221-1229.
MLA	WANG Quanchao,et al."Predictive ability of genomic selection models for breeding value estimation on growth traits of Pacific white shrimp Litopenaeus vannamei".CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY 35.5(2017):1221-1229.