ArticleGenetics, selection, evolution : GSE2017
Estimation of breeding values for uniformity of growth in Atlantic salmon (Salmo salar) using pedigree relationships or single-step genomic evaluation.
Article in Genetics, selection, evolution : GSE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Development and Applications of a 1K SNP Panel for Whiteleg Shrimp: From Pedigree Reconstruction to Genomic Selection.International journal of molecular sciences · 2026Article
- Genetic Heterogeneity of Residual Variance for Foot Score Traits in American Angus Cattle.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Genetic Parameter Estimation of Body Weight andAnimals : an open access journal from MDPI · 2025Article
- Genomic Evaluation of Harvest Weight Uniformity inBiology · 2025Article
- Assessing genotype-environment interactions in Atlantic salmon reared in freshwater loch and recirculating systems.Evolutionary applications · 2024Article
- First Genomic Prediction of Single-Step Models in Large Yellow Croaker.Marine biotechnology (New York, N.Y.) · 2023Article
- A promising resilience parameter for breeding: the use of weight and feed trajectories in growing pigs.Journal of animal science and biotechnology · 2023Article
- Genomic prediction for grain yield and micro-environmental sensitivity in winter wheat.Frontiers in plant science · 2022Article
- High-Throughput Single Nucleotide Polymorphism (SNP) Discovery and Validation Through Whole-Genome Resequencing in Nile Tilapia (Oreochromis niloticus).Marine biotechnology (New York, N.Y.) · 2020Article
- The Evolution of Variance Control.Trends in ecology & evolution · 2020Review
- Genome-Wide Patterns of Population Structure and Linkage Disequilibrium in Farmed Nile Tilapia (Frontiers in genetics · 2019Article
- Body Weight Deviations as Indicator for Resilience in Layer Chickens.Frontiers in genetics · 2019Article
- Genomic Prediction Accuracy for Resistance AgainstG3 (Bethesda, Md.) · 2018Article
- Opportunities to Improve Resilience in Animal Breeding Programs.Frontiers in genetics · 2018Article
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundIn farmed Atlantic salmon, heritability for uniformity of body weight is low, indicating that the accuracy of estimated breeding values (EBV) may be low. The use of genomic information could be one way to increase accuracy and, hence, obtain greater response to selection. Genomic information can be merged with pedigree information to construct a combined relationship matrix ([Formula: see text] matrix) for a single-step genomic evaluation (ssGBLUP), allowing realized relationships of the genotyped animals to be exploited, in addition to numerator pedigree relationships ([Formula: see text] matrix). We compared the predictive ability of EBV for uniformity of body weight in Atlantic salmon, when implementing either the [Formula: see text] or [Formula: see text] matrix in the genetic evaluation. We used double hierarchical generalized linear models (DHGLM) based either on a sire-dam (sire-dam DHGLM) or an animal model (animal DHGLM) for both body weight and its uniformity.
resultsWith the animal DHGLM, the use of [Formula: see text] instead of [Formula: see text] significantly increased the correlation between the predicted EBV and adjusted phenotypes, which is a measure of predictive ability, for both body weight and its uniformity (41.1 to 78.1%). When log-transformed body weights were used to account for a scale effect, the use of [Formula: see text] instead of [Formula: see text] produced a small and non-significant increase (1.3 to 13.9%) in predictive ability. The sire-dam DHGLM had lower predictive ability for uniformity compared to the animal DHGLM.
conclusionsUse of the combined numerator and genomic relationship matrix ([Formula: see text]) significantly increased the predictive ability of EBV for uniformity when using the animal DHGLM for untransformed body weight. The increase was only minor when using log-transformed body weights, which may be due to the lower heritability of scaled uniformity, the lower genetic correlation of transformed body weight with its uniformity compared to the untransformed traits, and the small number of genotyped animals in the reference population. This study shows that ssGBLUP increases the accuracy of EBV for uniformity of body weight and is expected to increase response to selection in uniformity.
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