Literature DB >> 29484731

Reducing bias in the dairy cattle single-step genomic evaluation by ignoring bulls without progeny.

M Koivula1, I Strandén1, G P Aamand2, E A Mäntysaari1.   

Abstract

The number of genotyped animals has increased rapidly creating computational challenges for genomic evaluation. In animal model BLUP, candidate animals without progeny and phenotype do not contribute information to the evaluation and can be discarded. In theory, genotyped candidate animal without progeny can bring information into single-step BLUP (ssGBLUP) and affect the estimation of other breeding values. We studied the effect of including or excluding genomic information of culled bull calves on genomic breeding values (GEBV) from ssGBLUP. In particular, GEBVs of genotyped bulls with daughters and GEBVs of young bulls selected into AI to be progeny tested (test bulls) were studied. The ssGBLUP evaluation was computed using Nordic test day (TD) model and TD data for the Nordic Red Dairy Cattle. The results indicate that genomic information of culled bull calves does not affect the GEBVs of progeny tested reference animals, but if genotypes of the culled bulls are used in the TD ssGBLUP, the genetic trend in the test bulls is considerably higher compared to the situation when genomic information of the culled bull calves is excluded. It seems that by discarding genomic information of culled bull calves without progeny, upward bias of GEBVs of test bulls is reduced.
© 2018 Blackwell Verlag GmbH.

Entities:  

Keywords:  Genomic evaluation; single-step; ssGBLUP

Mesh:

Year:  2018        PMID: 29484731     DOI: 10.1111/jbg.12318

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


  3 in total

1.  Investigating the impact of preselection on subsequent single-step genomic BLUP evaluation of preselected animals.

Authors:  Ibrahim Jibrila; Jan Ten Napel; Jeremie Vandenplas; Roel F Veerkamp; Mario P L Calus
Journal:  Genet Sel Evol       Date:  2020-07-29       Impact factor: 4.297

2.  Comparing Alternative Single-Step GBLUP Approaches and Training Population Designs for Genomic Evaluation of Crossbred Animals.

Authors:  Amanda B Alvarenga; Renata Veroneze; Hinayah R Oliveira; Daniele B D Marques; Paulo S Lopes; Fabyano F Silva; Luiz F Brito
Journal:  Front Genet       Date:  2020-04-09       Impact factor: 4.599

Review 3.  Genomic Analysis, Progress and Future Perspectives in Dairy Cattle Selection: A Review.

Authors:  Miguel A Gutierrez-Reinoso; Pedro M Aponte; Manuel Garcia-Herreros
Journal:  Animals (Basel)       Date:  2021-02-25       Impact factor: 3.231

  3 in total

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