Genomic selection strategies to overcome genotype by environment interactions in biosecurity-based aquaculture breeding programs

Genomic selection can effectively compensate for the loss of genetic gain in BS due to G × E. However, the number of genotyped SG individuals and the level of G × E significantly affected the extra genetic gain from genomic selection. A family-based BS selective breeding program should monitor the level of G × E and genotyping 50 SG individuals per candidate family to minimize the loss of genetic gain due to G × E, unless the level of G × E is confirmed to be low.

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Publication Details

Journal
Genetics Selection Evolution
Published
2025-01-22
DOI
https://doi.org/10.1186/s12711-025-00949-3
Citations
6
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
10.90

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article

Genomic selection strategies to overcome genotype by environment interactions in biosecurity-based aquaculture breeding programs

Qun Xing, Jiawang Cao, Baolong Chen, Sheng Luan et al.
6 citations
Genetics Selection Evolution
Genetic and phenotypic traits in livestock
10.90
article

Genomic selection strategies to overcome genotype by environment interactions in biosecurity-based aquaculture breeding programs

Qun Xing, Jiawang Cao, Baolong Chen, Sheng Luan, Kun Luo, Juan Sui, Qiang Fu, Qi Li, Xianhong Meng, Ziyi Kang, Jie Kong, Ping Dai, Jian Tan
article en
6 citations

Abstract

Genomic selection can effectively compensate for the loss of genetic gain in BS due to G × E. However, the number of genotyped SG individuals and the level of G × E significantly affected the extra genetic gain from genomic selection. A family-based BS selective breeding program should monitor the level of G × E and genotyping 50 SG individuals per candidate family to minimize the loss of genetic gain due to G × E, unless the level of G × E is confirmed to be low.

Genetics Selection EvolutionVol. 57(1)
Qingdao National Laboratory for Marine Science and Technology (CN), Chinese Academy of Fishery Sciences (CN), Ocean University of China (CN)
National Natural Science Foundation of China, Taishan Scholar Foundation of Shandong Province, Agriculture Research System of China, National Key Research and Development Program of China, Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences
Openalex Percentile: Top 2%
Genetic and phenotypic traits in livestock
10.90
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