Evidence map›Paper›PMID 42661165›Full record

ArticleGenetics, selection, evolution : GSE2026

Genomic selection improves survival time under high ammonia nitrogen stress in Litopenaeus vannamei.

Shuo Fu, Yuan Zhang, Guangbo Wu, Chaoan Guo, Jianyong Liu

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Article in Genetics, selection, evolution : GSE, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shuo FuFisheries College, Guangdong Ocean University, No. 1 Haida Road, Zhanjiang, 524088, Guangdong, China.
Yuan ZhangFisheries College, Guangdong Ocean University, No. 1 Haida Road, Zhanjiang, 524088, Guangdong, China.
Guangbo WuFisheries College, Guangdong Ocean University, No. 1 Haida Road, Zhanjiang, 524088, Guangdong, China.
Chaoan GuoFisheries College, Guangdong Ocean University, No. 1 Haida Road, Zhanjiang, 524088, Guangdong, China.
Jianyong LiuFisheries College, Guangdong Ocean University, No. 1 Haida Road, Zhanjiang, 524088, Guangdong, China. liujy70@126.com.

Funding

Construction Project of Modern Seed Industry Park for Whiteleg Shrimp of Guangdong Province GDSCYY2022-005the Key Special Program on Science and Technology Innovation in Marine Agriculture and Freshwater Fisheries 2023YFD2401705the Open Competition Program of the Top Nine Critical Priorities of Agricultural Science and Technology Innovation for the 14th Five-Year Plan of Guangdong Province 2023SDZG01the Research project of Guangdong Ocean University 2021ZDZX1031
6 · The paper itself

Abstract

backgroundLitopenaeus vannamei is an economically important species in global aquaculture. Enhancing its environmental resistance through selective breeding is important for improving the efficiency of intensive farming. Genomic selection (GS) can speed up genetic improvement, but it has not been widely used in commercial shrimp breeding because genotyping entire candidate populations is too expensive. In this study, we compared the predictive ability of six GS models with that of the traditional pedigree-based best linear unbiased prediction (PBLUP) model to evaluate the effect of GS on the high ammonia nitrogen resistance in L. vannamei. We then proposed and validated a cost-effective breeding strategy that combines BLUP method with GS in the progeny.

resultsThe heritability of high ammonia nitrogen tolerance was 0.26 from the pedigree model, and 0.56-0.58 from genomic models. GS improved prediction accuracy by 32.45-39.25% compared with pedigree-based PBLUP. Progeny validation based on ssGBLUP showed that the high-resistance group had 11.38-11.82% longer survival time than the sensitive group, with a significant positive correlation between Genomic Estimated Breeding Values (GEBVs) and observed survival time.

conclusionsThe integration of BLUP with GS provides an economically feasible breeding strategy for shrimp. This approach balances accuracy and cost, making genomic information practical for commercial shrimp breeding.

Indexed as

AmmoniaPenaeidaeSelection, GeneticStress, PhysiologicalAnimalsAquacultureBreedingGenomicsModels, GeneticNitrogenSelective BreedingAmmoniaNitrogen

Identifiers

PMID42661165
PMCPMC13520404

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.