Genetic Improvement Strategies for Enhancing Feed Efficiency in Aquaculture

Feed efficiency (FE) is one of the most economically and environmentally important target traits for genetic improvement since feed accounts for 50–70% of total production expenses in aquaculture worldwide. In addition to lowering production costs, reducing feed consumption per unit of biomass output also reduces emissions of nitrogen and phosphorus, which is in line with global sustainability goals for food production. The genetic framework of FE traits, molecular dissection of the targeted loci, conventional selective breeding frameworks, genomic selection, emerging biotechnological applications, major implementation challenges, and prospects are all covered in this review, which summarizes current developments in genetic improvement of FE in aquaculture. We incorporate empirical data from important farmed finfish and crustacean species, emphasizing that FE-related traits show measurable genetic variation available for selection, although reported heritability estimates vary substantially among traits, populations, phenotyping methods, and production conditions. Compared to conventional breeding techniques, the integration of high-throughput phenotyping, genomic prediction and multi-omics approaches has expanded opportunities to characterize FE variation and improve selection accuracy. However, most reported candidate loci and genes remain supported by associative rather than causal evidence, and functional validation in aquaculture remains limited. Integrated breeding approaches therefore offer feasible pathways to mitigate major constraints to genetic improvement of FE, although their practical application differs substantially among species and production systems.

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Publication Details

Journal
Biology
Published
2026-10-15
DOI
https://doi.org/10.3390/biology15201849
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
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article

Genetic Improvement Strategies for Enhancing Feed Efficiency in Aquaculture

Tang YongKai, Ibrahim Kandeh, Yuanfeng Xu, Usman Abdullahi et al.
Biology
Genetic and phenotypic traits in livestock
article

Genetic Improvement Strategies for Enhancing Feed Efficiency in Aquaculture

Tang YongKai, Ibrahim Kandeh, Yuanfeng Xu, Usman Abdullahi, Jianlin Li, Yongfeng Zhao
article en

Abstract

Feed efficiency (FE) is one of the most economically and environmentally important target traits for genetic improvement since feed accounts for 50–70% of total production expenses in aquaculture worldwide. In addition to lowering production costs, reducing feed consumption per unit of biomass output also reduces emissions of nitrogen and phosphorus, which is in line with global sustainability goals for food production. The genetic framework of FE traits, molecular dissection of the targeted loci, conventional selective breeding frameworks, genomic selection, emerging biotechnological applications, major implementation challenges, and prospects are all covered in this review, which summarizes current developments in genetic improvement of FE in aquaculture. We incorporate empirical data from important farmed finfish and crustacean species, emphasizing that FE-related traits show measurable genetic variation available for selection, although reported heritability estimates vary substantially among traits, populations, phenotyping methods, and production conditions. Compared to conventional breeding techniques, the integration of high-throughput phenotyping, genomic prediction and multi-omics approaches has expanded opportunities to characterize FE variation and improve selection accuracy. However, most reported candidate loci and genes remain supported by associative rather than causal evidence, and functional validation in aquaculture remains limited. Integrated breeding approaches therefore offer feasible pathways to mitigate major constraints to genetic improvement of FE, although their practical application differs substantially among species and production systems.

BiologyVol. 15(20)
Nanjing Agricultural University (CN), Ministry of Agriculture and Rural Affairs (CN), Freshwater Fisheries Research Center (CN), Chinese Academy of Fishery Sciences (CN)
Zero hunger
Openalex Percentile: Top 15%
Genetic and phenotypic traits in livestock
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