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Effects of selection and data truncation on estimates of genetic parameters obtained fitting a single-step model

Karin Meyer

Research output: Contribution to journalConference articlepeer-review

Abstract

Simulation was used to illustrate the effects of genomic selection on estimates of genetic parameters, comparing values when genomic relationships were ignored with those obtained accounting for the joint relationship matrix of genotyped and non-genotyped individuals. Analyses were carried out with increasing truncation of earlier records, pedigrees and genotype information. Results showed that estimates from pedigree only analyses could be markedly biased downwards as more historical data is ignored, especially with strong genomic selection, causing predicted breeding values for selection candidates in the last generation to be under-dispersed.

Original languageEnglish
Pages (from-to)39-42
JournalProceedings of the Association for the Advancement of Animal Breeding and Genetics
Volume25
Publication statusPublished - 26 Jul 2023
EventAAABG 2023: 25th Conference of the Association for the Advancement of Animal Breeding and Genetics - The University Club of Western Australia, Perth, Australia
Duration: 26 Jul 202328 Jul 2023

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