Literature DB >> 30105811

Genetic evaluation of Atlantic salmon for growth traits incorporating SNP markers.

Lawrence R Schaeffer1, Keng Pee Ang2, Jake A K Elliott2, Marine Herlin2, Frank Powell2, Elizabeth Grace Boulding3.   

Abstract

Genetic evaluations of individual fish were calculated for growth traits in North American Atlantic salmon with and without inclusion of genetic markers. The number of SNP markers was reduced to 6,000 and further to 270 in order to reduce the problem of overparameterization. SNP genotypes were predicted for all ungenotyped animals in the pedigree. Analysis of traits used a model with polygenic effects and SNP markers together. Polygenic effects refer to the additive genetic effects that remain after accounting for SNP genotypes. SNP marker genotypes were included as covariates to evaluate fish for growth traits (weight and length) in different environments (freshwater and seawater) with genders separated. Including regressions on SNP marker genotypes reduced the sum of squares of residuals by 2.7%-12.5% and increased the variability of Mendelian sampling effects (i.e., within-family variation) compared to traditional animal model evaluations. Genetic evaluations may be carried out with a few hundred markers which may be more affordable for genotyping large numbers of fish.
© 2018 Blackwell Verlag GmbH.

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Keywords:  genetic evaluation; growth; markers; prediction of SNP genotypes

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Year:  2018        PMID: 30105811     DOI: 10.1111/jbg.12355

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  1 in total

1.  Genetic analysis of egg production traits in turkeys (Meleagris gallopavo) using a single-step genomic random regression model.

Authors:  Hakimeh Emamgholi Begli; Lawrence R Schaeffer; Emhimad Abdalla; Emmanuel A Lozada-Soto; Alexandra Harlander-Matauschek; Benjamin J Wood; Christine F Baes
Journal:  Genet Sel Evol       Date:  2021-07-20       Impact factor: 4.297

  1 in total

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