Cargando…
The impact of genomic relatedness between populations on the genomic estimated breeding values
In genomic selection, prediction accuracy is highly driven by the size of animals in the reference population (RP). Combining related populations from different countries and regions or using a related population with large size of RP has been considered to be viable strategies in cattle breeding. T...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6094871/ https://www.ncbi.nlm.nih.gov/pubmed/30147871 http://dx.doi.org/10.1186/s40104-018-0279-4 |
_version_ | 1783347878992805888 |
---|---|
author | Ma, Peipei Huang, Ju Gong, Weijia Li, Xiujin Gao, Hongding Zhang, Qin Ding, Xiangdong Wang, Chonglong |
author_facet | Ma, Peipei Huang, Ju Gong, Weijia Li, Xiujin Gao, Hongding Zhang, Qin Ding, Xiangdong Wang, Chonglong |
author_sort | Ma, Peipei |
collection | PubMed |
description | In genomic selection, prediction accuracy is highly driven by the size of animals in the reference population (RP). Combining related populations from different countries and regions or using a related population with large size of RP has been considered to be viable strategies in cattle breeding. The genetic relationship between related populations is important for improving the genomic predictive ability. In this study, we used 122 French bulls as test individuals. The genomic estimated breeding values (GEBVs) evaluated using French RP, America RP and Chinese RP were compared. The results showed that the GEBVs were in higher concordance using French RP and American RP compared with using Chinese population. The persistence analysis, kinship analysis and the principal component analysis (PCA) were performed for 270 French bulls, 270 American bulls and 270 Chinese bulls to interpret the results. All the analyses illustrated that the genetic relationship between French bulls and American bulls was closer compared with Chinese bulls. Another reason could be the size of RP in China was smaller than the other two RPs. In conclusion, using RP of a related population to predict GEBVs of the animals in a target population is feasible when these two populations have a close genetic relationship and the related population is large. |
format | Online Article Text |
id | pubmed-6094871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60948712018-08-24 The impact of genomic relatedness between populations on the genomic estimated breeding values Ma, Peipei Huang, Ju Gong, Weijia Li, Xiujin Gao, Hongding Zhang, Qin Ding, Xiangdong Wang, Chonglong J Anim Sci Biotechnol Short Report In genomic selection, prediction accuracy is highly driven by the size of animals in the reference population (RP). Combining related populations from different countries and regions or using a related population with large size of RP has been considered to be viable strategies in cattle breeding. The genetic relationship between related populations is important for improving the genomic predictive ability. In this study, we used 122 French bulls as test individuals. The genomic estimated breeding values (GEBVs) evaluated using French RP, America RP and Chinese RP were compared. The results showed that the GEBVs were in higher concordance using French RP and American RP compared with using Chinese population. The persistence analysis, kinship analysis and the principal component analysis (PCA) were performed for 270 French bulls, 270 American bulls and 270 Chinese bulls to interpret the results. All the analyses illustrated that the genetic relationship between French bulls and American bulls was closer compared with Chinese bulls. Another reason could be the size of RP in China was smaller than the other two RPs. In conclusion, using RP of a related population to predict GEBVs of the animals in a target population is feasible when these two populations have a close genetic relationship and the related population is large. BioMed Central 2018-08-16 /pmc/articles/PMC6094871/ /pubmed/30147871 http://dx.doi.org/10.1186/s40104-018-0279-4 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Short Report Ma, Peipei Huang, Ju Gong, Weijia Li, Xiujin Gao, Hongding Zhang, Qin Ding, Xiangdong Wang, Chonglong The impact of genomic relatedness between populations on the genomic estimated breeding values |
title | The impact of genomic relatedness between populations on the genomic estimated breeding values |
title_full | The impact of genomic relatedness between populations on the genomic estimated breeding values |
title_fullStr | The impact of genomic relatedness between populations on the genomic estimated breeding values |
title_full_unstemmed | The impact of genomic relatedness between populations on the genomic estimated breeding values |
title_short | The impact of genomic relatedness between populations on the genomic estimated breeding values |
title_sort | impact of genomic relatedness between populations on the genomic estimated breeding values |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6094871/ https://www.ncbi.nlm.nih.gov/pubmed/30147871 http://dx.doi.org/10.1186/s40104-018-0279-4 |
work_keys_str_mv | AT mapeipei theimpactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT huangju theimpactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT gongweijia theimpactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT lixiujin theimpactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT gaohongding theimpactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT zhangqin theimpactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT dingxiangdong theimpactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT wangchonglong theimpactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT mapeipei impactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT huangju impactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT gongweijia impactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT lixiujin impactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT gaohongding impactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT zhangqin impactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT dingxiangdong impactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues AT wangchonglong impactofgenomicrelatednessbetweenpopulationsonthegenomicestimatedbreedingvalues |