ArticleBMC genomics2021
Genomic predictions for fillet yield and firmness in rainbow trout using reduced-density SNP panels.
Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Multi-Trait Genomic Prediction of Meat Yield in Pacific Whiteleg Shrimp (Animals : an open access journal from MDPI · 2025Article
- Decoding the fish genome opens a new era in important trait research and molecular breeding in China.Science China. Life sciences · 2024Review
- Potential of low-density genotype imputation for cost-efficient genomic selection for resistance to Flavobacterium columnare in rainbow trout (Oncorhynchus mykiss).Genetics, selection, evolution : GSE · 2023Article
- Evaluation of low-density SNP panels and imputation for cost-effective genomic selection in four aquaculture species.Frontiers in genetics · 2023Article
- Effects of common full-sib families on accuracy of genomic prediction for tagging weight in striped catfishFrontiers in genetics · 2022Article
- Genome-Wide Association and Genomic Prediction of Growth Traits in the European Flat Oyster (Frontiers in genetics · 2022Article
- Optimizing self-pollinated crop breeding employing genomic selection: From schemes to updating training sets.Frontiers in plant science · 2022Article
- Genotyping Strategies Using ddRAD Sequencing in Farmed Arctic Charr (Animals : an open access journal from MDPI · 2021Article
- Genetic Parameters and Genome-Wide Association Studies of Quality Traits Characterised Using Imaging Technologies in Rainbow Trout,Frontiers in genetics · 2021Article
- Genomic Selection and Genome-wide Association Study for Feed-Efficiency Traits in a Farmed Nile Tilapia (Frontiers in genetics · 2021Article
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Authors and funding
6 authors.
Funding
Abstract
backgroundOne of the most important goals for the rainbow trout aquaculture industry is to improve fillet yield and fillet quality. Previously, we showed that a 50 K transcribed-SNP chip can be used to detect quantitative trait loci (QTL) associated with fillet yield and fillet firmness. In this study, data from 1568 fish genotyped for the 50 K transcribed-SNP chip and ~ 774 fish phenotyped for fillet yield and fillet firmness were used in a single-step genomic BLUP (ssGBLUP) model to compute the genomic estimated breeding values (GEBV). In addition, pedigree-based best linear unbiased prediction (PBLUP) was used to calculate traditional, family-based estimated breeding values (EBV).
resultsThe genomic predictions outperformed the traditional EBV by 35% for fillet yield and 42% for fillet firmness. The predictive ability for fillet yield and fillet firmness was 0.19-0.20 with PBLUP, and 0.27 with ssGBLUP. Additionally, reducing SNP panel densities indicated that using 500-800 SNPs in genomic predictions still provides predictive abilities higher than PBLUP.
conclusionThese results suggest that genomic evaluation is a feasible strategy to identify and select fish with superior genetic merit within rainbow trout families, even with low-density SNP panels.
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