Comparison of different validation methods for single-step genomic evaluations based on a simulated cattle population

ABSTRACT: The validation of estimated breeding values from single-step genomic BLUP (ssGBLUP) is an important topic, as more and more countries and animal populations are currently changing their genomic prediction to single-step. The objective of this work was to compare different methods to valida...

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Main Authors: Judith Himmelbauer, Hermann Schwarzenbacher, Christian Fuerst, Birgit Fuerst-Waltl
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Journal of Dairy Science
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S002203022300543X
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author Judith Himmelbauer
Hermann Schwarzenbacher
Christian Fuerst
Birgit Fuerst-Waltl
author_facet Judith Himmelbauer
Hermann Schwarzenbacher
Christian Fuerst
Birgit Fuerst-Waltl
author_sort Judith Himmelbauer
collection DOAJ
description ABSTRACT: The validation of estimated breeding values from single-step genomic BLUP (ssGBLUP) is an important topic, as more and more countries and animal populations are currently changing their genomic prediction to single-step. The objective of this work was to compare different methods to validate single-step genomic breeding values (GEBV). The investigations were carried out using a simulation study based on the German-Austrian-Czech Fleckvieh population. To test the validation methods under different conditions, several biased and unbiased scenarios were simulated. The application of the widely used Interbull GEBV test to the single-step method is only possible to a limited extent, partly because of genomic preselection, which biases conventional estimated breeding values. Alternative validation methods considered in the study are the linear regression method proposed by Legarra and Reverter, the improved genomic validation including additional regressions as suggested by VanRaden and an adaptation of the Interbull GEBV test using daughter yield deviations (DYD) from ssGBLUP instead of pedigree BLUP. The comparison of the different methods for the different scenarios showed that for males the methods based on GEBV estimate the dispersion more accurate and less biased compared with the GEBV test using DYD from ssGBLUP, whereas the standard Interbull GEBV test is highly affected by genomic preselection for males. For females, the GEBV test using yield deviations from ssGBLUP results in better estimations for the true dispersion.
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spelling doaj.art-b9cb491b5a23478b93d41e67283bd17a2023-12-15T07:22:00ZengElsevierJournal of Dairy Science0022-03022023-12-011061290269043Comparison of different validation methods for single-step genomic evaluations based on a simulated cattle populationJudith Himmelbauer0Hermann Schwarzenbacher1Christian Fuerst2Birgit Fuerst-Waltl3ZuchtData EDV-Dienstleistungen GmbH, 1200 Vienna, Austria; University of Natural Resources and Life Sciences, Vienna, 1180 Vienna, Austria; Corresponding authorZuchtData EDV-Dienstleistungen GmbH, 1200 Vienna, AustriaZuchtData EDV-Dienstleistungen GmbH, 1200 Vienna, AustriaUniversity of Natural Resources and Life Sciences, Vienna, 1180 Vienna, AustriaABSTRACT: The validation of estimated breeding values from single-step genomic BLUP (ssGBLUP) is an important topic, as more and more countries and animal populations are currently changing their genomic prediction to single-step. The objective of this work was to compare different methods to validate single-step genomic breeding values (GEBV). The investigations were carried out using a simulation study based on the German-Austrian-Czech Fleckvieh population. To test the validation methods under different conditions, several biased and unbiased scenarios were simulated. The application of the widely used Interbull GEBV test to the single-step method is only possible to a limited extent, partly because of genomic preselection, which biases conventional estimated breeding values. Alternative validation methods considered in the study are the linear regression method proposed by Legarra and Reverter, the improved genomic validation including additional regressions as suggested by VanRaden and an adaptation of the Interbull GEBV test using daughter yield deviations (DYD) from ssGBLUP instead of pedigree BLUP. The comparison of the different methods for the different scenarios showed that for males the methods based on GEBV estimate the dispersion more accurate and less biased compared with the GEBV test using DYD from ssGBLUP, whereas the standard Interbull GEBV test is highly affected by genomic preselection for males. For females, the GEBV test using yield deviations from ssGBLUP results in better estimations for the true dispersion.http://www.sciencedirect.com/science/article/pii/S002203022300543Xgenetic evaluationsingle-step genomic best linear unbiased predictorbias
spellingShingle Judith Himmelbauer
Hermann Schwarzenbacher
Christian Fuerst
Birgit Fuerst-Waltl
Comparison of different validation methods for single-step genomic evaluations based on a simulated cattle population
Journal of Dairy Science
genetic evaluation
single-step genomic best linear unbiased predictor
bias
title Comparison of different validation methods for single-step genomic evaluations based on a simulated cattle population
title_full Comparison of different validation methods for single-step genomic evaluations based on a simulated cattle population
title_fullStr Comparison of different validation methods for single-step genomic evaluations based on a simulated cattle population
title_full_unstemmed Comparison of different validation methods for single-step genomic evaluations based on a simulated cattle population
title_short Comparison of different validation methods for single-step genomic evaluations based on a simulated cattle population
title_sort comparison of different validation methods for single step genomic evaluations based on a simulated cattle population
topic genetic evaluation
single-step genomic best linear unbiased predictor
bias
url http://www.sciencedirect.com/science/article/pii/S002203022300543X
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AT christianfuerst comparisonofdifferentvalidationmethodsforsinglestepgenomicevaluationsbasedonasimulatedcattlepopulation
AT birgitfuerstwaltl comparisonofdifferentvalidationmethodsforsinglestepgenomicevaluationsbasedonasimulatedcattlepopulation