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Variance component estimations for the South African Merino sheep breed for application in genetic and genomic evaluations

Dissertation (MSc Animal Breeding and Genetics))--University of Pretoria, 2024.

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Other Authors: Visser, Carina
Format: Thesis
Language:English
Published: University of Pretoria 2025
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access_status_str Open Access
author2 Visser, Carina
author_browse Visser, Carina
author_facet Visser, Carina
collection Thesis
dc_rights_str_mv © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc Animal Breeding and Genetics))--University of Pretoria, 2024.
format Thesis
id oai:repository.up.ac.za:2263/100785
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:52.535Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/100785 Variance component estimations for the South African Merino sheep breed for application in genetic and genomic evaluations Visser, Carina Kira.marie.sieber@gmail.com Mostert, Bernice Sieber, Kira Marie UCTD Sustainable Development Goals (SDGs) Animal models Genetic trends Genetic correlations Heritability Dissertation (MSc Animal Breeding and Genetics))--University of Pretoria, 2024. The estimation of genetic parameters allows for the accurate prediction of estimated breeding values (EBVs), which plays a crucial role in developing selection indices that can be used to generate genetic progress for economically important traits. This study aimed to estimate genetic parameters for the estimation of EBVs and genomically enhanced breeding values (GEBVs) for the South African Merino sheep breed for application in genetic and genomic evaluations. A population of 864 754 South African Merino sheep were included in this study. Variance components were estimated for all sheep born after 2009, consisting of 62 460 animals. A multi-trait animal model was used to estimate the variance components, using VCE6 statistical software (Groeneveld et al., 2010). The multi-trait animal model estimated the heritabilities and standard errors for seven traits: Direct weaning weight (0.25 ± 0.01), maternal weaning weight (0.20 ± 0.00), body weight at wool test (0.26 ± 0.01), clean fleece weight (0.33 ± 0.01), fibre diameter (0.63 ± 0.00), staple length (0.33 ± 0.00) and coefficient of variation of fibre diameter (0.43 ± 0.00). Conventional EBVs were obtained using PEST2 (Groeneveld et al., 2019), employing the same genetic models as used for variance component estimation. The genetic trends were determined by averaging the breeding values of measured animals per year of birth per trait and were plotted against the national trends provided by SA Stud Book. SNP data was incorporated for the estimation of GEBVs with Single-Step GBLUP methodology, using MIX99 (Lidauer et al., 2013), for a highly heritable (fibre diameter) and a lowly heritable (wean maternal) trait. The genetic trends for the GEBVs were determined by averaging the GEBVs per year of birth for measured animals per trait. The EBVs and GEBVs for all active, as well as for the genotyped animals were correlated to assess the effect of the inclusion of genomic information in EBV estimation on the ranking of the animals, as well as on the accuracy of estimation of the breeding values. The results indicated that including genomic information did not change the ranking of animals or the accuracy in which EBVs were estimated for fibre diameter. In contrast, for the lowly heritable trait, wean maternal, the inclusion of genomic information improved the accuracies of the EBVs, increasing from a range of 18% and 97% to a range of 37% and 97%. UP Postgraduate Masters Research Bursary Animal and Wildlife Sciences MSc (Animal Breeding and Genetics) Unrestricted Faculty of Natural and Agricultural Sciences SDG-15: Life on land 2025-02-12T12:34:58Z 2025-02-12T12:34:58Z 2025-04 2024-11 Dissertation * A2025 http://hdl.handle.net/2263/100785 https://doi.org/10.25403/UPresearchdata.28399043 en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Sustainable Development Goals (SDGs)
Animal models
Genetic trends
Genetic correlations
Heritability
Variance component estimations for the South African Merino sheep breed for application in genetic and genomic evaluations
title Variance component estimations for the South African Merino sheep breed for application in genetic and genomic evaluations
title_full Variance component estimations for the South African Merino sheep breed for application in genetic and genomic evaluations
title_fullStr Variance component estimations for the South African Merino sheep breed for application in genetic and genomic evaluations
title_full_unstemmed Variance component estimations for the South African Merino sheep breed for application in genetic and genomic evaluations
title_short Variance component estimations for the South African Merino sheep breed for application in genetic and genomic evaluations
title_sort variance component estimations for the south african merino sheep breed for application in genetic and genomic evaluations
topic UCTD
Sustainable Development Goals (SDGs)
Animal models
Genetic trends
Genetic correlations
Heritability
url http://hdl.handle.net/2263/100785
https://doi.org/10.25403/UPresearchdata.28399043