Aquaculture · 2019 · 27 citations · 37 references
AgricultureAnimal SciencesGeneticsFish GeneticsFisheries BiologyMarker-assisted SelectionFish Breeding GeneticsFisheries GeneticsGenetic EvaluationGenomic Selection For Nutritional TraitsMulti-trait SelectionAllele-specific ExpressionAllele-specific Gene ExpressionCross-validation StudiesFatty AcidsMarker-assisted Trait SelectionOmega-3 Fatty AcidsPedigree InformationQuantitative Genetic Variation
The main aim of the current study was to compare the accuracy of selection for muscle content of fat and the health-promoting omega-3 fatty acids EPA and DHA in Atlantic salmon, by varying the sources of genetic information used in the estimation of breeding values. The following genetic information sources were compared: pedigree, SNP-chip markers and allele-specific expression markers. The results showed that differences between information sources were in general small, and different genetic information performed best for different traits. SNP-chip performed best for DHA, and pedigree performed best for EPA. Knowledge from gene expression analysis of a few individuals can be utilized to select a small panel of markers that perform relatively well. Genetic markers of allele-specific expression were able to capture a lot of genetic variation for DHA, but did not give significantly higher accuracies when combined with SNP-chip or pedigree information. The cross-validation accuracies for selection for DHA and EPA were moderate and offer possibilities for selection for these traits, especially if one extends the reference data set to a much bigger population, with more sibs per selection candidate.
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GCTA: A Tool for Genome-wide Complex Trait Analysis
Jian Yang, Sang Lee, Michael E. Goddard et al. · The American Journal of Human Genetics · 2010 · 9.3K citations · Full text