Literature DB >> 25557894

Technical note: Rapid calculation of genomic evaluations for new animals.

G R Wiggans1, P M VanRaden2, T A Cooper2.   

Abstract

A method was developed to calculate preliminary genomic evaluations daily or weekly before the release of official monthly evaluations by processing only newly genotyped animals using estimates of single nucleotide polymorphism effects from the previous official evaluation. To minimize computing time, reliabilities and genomic inbreeding are not calculated, and fixed weights are used to combine genomic and traditional information. Correlations of preliminary and September official monthly evaluations for animals with genotypes that became usable after the extraction of genotypes for August 2014 evaluations were >0.99 for most Holstein traits. Correlations were lower for breeds with smaller population size. Earlier access to genomic evaluations benefits producers by enabling earlier culling decisions and genotyping laboratories by making workloads more uniform across the month.
Copyright © 2015 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Keywords:  continuous evaluation; genomic evaluation; genotype

Mesh:

Year:  2014        PMID: 25557894     DOI: 10.3168/jds.2014-8868

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  4 in total

1.  Fast imputation using medium or low-coverage sequence data.

Authors:  Paul M VanRaden; Chuanyu Sun; Jeffrey R O'Connell
Journal:  BMC Genet       Date:  2015-07-14       Impact factor: 2.797

2.  Estimated allele substitution effects underlying genomic evaluation models depend on the scaling of allele counts.

Authors:  Aniek C Bouwman; Ben J Hayes; Mario P L Calus
Journal:  Genet Sel Evol       Date:  2017-10-30       Impact factor: 4.297

3.  Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP.

Authors:  Andre Garcia; Ignacio Aguilar; Andres Legarra; Shogo Tsuruta; Ignacy Misztal; Daniela Lourenco
Journal:  Genet Sel Evol       Date:  2022-09-27       Impact factor: 5.100

4.  Semi-supervised learning for genomic prediction of novel traits with small reference populations: an application to residual feed intake in dairy cattle.

Authors:  Chen Yao; Xiaojin Zhu; Kent A Weigel
Journal:  Genet Sel Evol       Date:  2016-11-07       Impact factor: 4.297

  4 in total

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