Literature DB >> 35451786

Genomic Prediction of Complex Traits in Animal Breeding with Long Breeding History, the Dairy Cattle Case.

Joel Ira Weller1,2.   

Abstract

In accordance with the infinitesimal model for quantitative traits, a very large number of genes affect nearly all economic traits. In only two cases has the causative polymorphism been determined for genes affecting economic traits in dairy cattle. Most current methods for genomic evaluation are based on the "two-step" method. Genetic evaluations are computed by the individual animal model, and functions of the evaluations of progeny-tested sires are the dependent variable for estimation of marker effects. With the adoption of genomic evaluation in 2008, annual rates of genetic gain in the US increased from ∼50-100% for yield traits and from threefold to fourfold for lowly heritable traits, including female fertility, herd-life and somatic cell concentration. Gradual elimination of the progeny test scheme has led to a reduction in the number of sires with daughter records and less genetic ties between years. As genotyping costs decrease, the number of cows genotyped will continue to increase, and these records will become the basic data used to compute genomic evaluations, most likely via application of "single-step" methodologies. Less emphasis in selection goals will be placed on milk production traits, and more on health, reproduction, and efficiency traits and "environmentally friendly" production. Genetic variance for economic traits is maintained by increase in frequency of rare alleles, new mutations, and changes in selection goals and management.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Animal breeding; Complex traits; Dairy cattle; Genomic prediction; Genomic selection

Mesh:

Year:  2022        PMID: 35451786     DOI: 10.1007/978-1-0716-2205-6_16

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  45 in total

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Journal:  Nat Methods       Date:  2008-02-24       Impact factor: 28.547

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Journal:  J Dairy Sci       Date:  1991-08       Impact factor: 4.034

4.  Personal genomes: The case of the missing heritability.

Authors:  Brendan Maher
Journal:  Nature       Date:  2008-11-06       Impact factor: 49.962

5.  Sizing up human height variation.

Authors:  Peter M Visscher
Journal:  Nat Genet       Date:  2008-05       Impact factor: 38.330

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Journal:  Am J Hum Genet       Date:  1989-03       Impact factor: 11.025

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Authors:  M Ron; M Band; A Yanai; J I Weller
Journal:  Anim Genet       Date:  1994-08       Impact factor: 3.169

8.  Power of daughter and granddaughter designs for determining linkage between marker loci and quantitative trait loci in dairy cattle.

Authors:  J I Weller; Y Kashi; M Soller
Journal:  J Dairy Sci       Date:  1990-09       Impact factor: 4.034

9.  The distribution of the effects of genes affecting quantitative traits in livestock.

Authors:  B Hayes; M E Goddard
Journal:  Genet Sel Evol       Date:  2001 May-Jun       Impact factor: 4.297

10.  Mapping quantitative trait loci controlling milk production in dairy cattle by exploiting progeny testing.

Authors:  M Georges; D Nielsen; M Mackinnon; A Mishra; R Okimoto; A T Pasquino; L S Sargeant; A Sorensen; M R Steele; X Zhao
Journal:  Genetics       Date:  1995-02       Impact factor: 4.562

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  1 in total

1.  Breeding Dairy Cattle for Female Fertility and Production in the Age of Genomics.

Authors:  Joel Ira Weller; Moran Gershoni; Ephraim Ezra
Journal:  Vet Sci       Date:  2022-08-15
  1 in total

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