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

Quanchao Wang; Yang Yu; Fuhua Li; Xiaojun Zhang; Jianhai Xiang

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

OriginalPaper | Updated：2023-05-16

- Predictive ability of genomic selection models for breeding value estimation on growth traits of Pacific white shrimp Litopenaeus vannamei
- Predictive ability of genomic selection models for breeding value estimation on growth traits of Pacific white shrimp Litopenaeus vannamei
- 海洋湖沼学报（英文） 2017年35卷第5期页码：1221-1229
- Affiliations：
  
  1. Key Laboratory of Experimental Marine Biology Institute of Oceanology Chinese Academy of Sciences
  2. University of Chinese Academy of Sciences
  3. Qingdao National Laboratory for Marine Science and Technology
- Author bio：
- Funds：
  
  Supported by the National High Technology Research and Development Program of China (863 Program) (No. 2012AA10A404), the National Natural Science Foundation of China (No. 31502161), and the Scientific and Technological Innovation Project Financially Supported by Qingdao National Laboratory for Marine Science and Technology (No. 2015ASKJ02)
- DOI：10.1007/s00343-017-6038-0
  中图分类号：
- 网络首发：2016-10-01，
  
  纸质出版：2017
- Accepted：
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Predictive ability of genomic selection models for breeding value estimation on growth traits of Pacific white shrimp Litopenaeus vannamei[J]. 海洋湖沼学报（英文）, 2017,35(5):1221-1229.

Wang, Q., Yu, Y., Li, F. et al. Predictive ability of genomic selection models for breeding value estimation on growth traits of Pacific white shrimp Litopenaeus vannamei, ., Chin. J. Ocean. Limnol. 35, 1221–1229 (2017). https://doi.org/10.1007/s00343-017-6038-0
Predictive ability of genomic selection models for breeding value estimation on growth traits of Pacific white shrimp Litopenaeus vannamei[J]. 海洋湖沼学报（英文）, 2017,35(5):1221-1229. DOI： 10.1007/s00343-017-6038-0.

Wang, Q., Yu, Y., Li, F. et al. Predictive ability of genomic selection models for breeding value estimation on growth traits of Pacific white shrimp Litopenaeus vannamei, ., Chin. J. Ocean. Limnol. 35, 1221–1229 (2017). https://doi.org/10.1007/s00343-017-6038-0 DOI：

摘要

Abstract

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.

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references

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