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Novel optimum contribution selection methods accounting for conflicting objectives in breeding programs for livestock breeds with historical migration

BACKGROUND: Optimum contribution selection (OCS) is effective for increasing genetic gain, controlling the rate of inbreeding and enables maintenance of genetic diversity. However, this diversity may be caused by high migrant contributions (MC) in the population due to introgression of genetic mater...

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Autores principales: Wang, Yu, Bennewitz, Jörn, Wellmann, Robin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5427594/
https://www.ncbi.nlm.nih.gov/pubmed/28499352
http://dx.doi.org/10.1186/s12711-017-0320-7
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author Wang, Yu
Bennewitz, Jörn
Wellmann, Robin
author_facet Wang, Yu
Bennewitz, Jörn
Wellmann, Robin
author_sort Wang, Yu
collection PubMed
description BACKGROUND: Optimum contribution selection (OCS) is effective for increasing genetic gain, controlling the rate of inbreeding and enables maintenance of genetic diversity. However, this diversity may be caused by high migrant contributions (MC) in the population due to introgression of genetic material from other breeds, which can threaten the conservation of small local populations. Therefore, breeding objectives should not only focus on increasing genetic gains but also on maintaining genetic originality and diversity of native alleles. This study aimed at investigating whether OCS was improved by including MC and modified kinships that account for breed origin of alleles. Three objective functions were considered for minimizing kinship, minimizing MC and maximizing genetic gain in the offspring generation, and we investigated their effects on German Angler and Vorderwald cattle. RESULTS: In most scenarios, the results were similar for Angler and Vorderwald cattle. A significant positive correlation between MC and estimated breeding values of the selection candidates was observed for both breeds, thus traditional OCS would increase MC. Optimization was performed under the condition that the rate of inbreeding did not exceed 1% and at least 30% of the maximum progress was achieved for all other criteria. Although traditional OCS provided the highest breeding values under restriction of classical kinship, the magnitude of MC in the progeny generation was not controlled. When MC were constrained or minimized, the kinship at native alleles increased compared to the reference scenario. Thus, in addition to constraining MC, constraining kinship at native alleles is required to ensure that native genetic diversity is maintained. When kinship at native alleles was constrained, the classical kinship was automatically lowered in most cases and more sires were selected. However, the average breeding value in the next generation was also lower than that obtained with traditional OCS. CONCLUSIONS: For local breeds with historical introgressions, current breeding programs should focus on increasing genetic gain and controlling inbreeding, as well as maintaining the genetic originality of the breeds and the diversity of native alleles via the inclusion of MC and kinship at native alleles in the OCS process. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12711-017-0320-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-54275942017-05-15 Novel optimum contribution selection methods accounting for conflicting objectives in breeding programs for livestock breeds with historical migration Wang, Yu Bennewitz, Jörn Wellmann, Robin Genet Sel Evol Research Article BACKGROUND: Optimum contribution selection (OCS) is effective for increasing genetic gain, controlling the rate of inbreeding and enables maintenance of genetic diversity. However, this diversity may be caused by high migrant contributions (MC) in the population due to introgression of genetic material from other breeds, which can threaten the conservation of small local populations. Therefore, breeding objectives should not only focus on increasing genetic gains but also on maintaining genetic originality and diversity of native alleles. This study aimed at investigating whether OCS was improved by including MC and modified kinships that account for breed origin of alleles. Three objective functions were considered for minimizing kinship, minimizing MC and maximizing genetic gain in the offspring generation, and we investigated their effects on German Angler and Vorderwald cattle. RESULTS: In most scenarios, the results were similar for Angler and Vorderwald cattle. A significant positive correlation between MC and estimated breeding values of the selection candidates was observed for both breeds, thus traditional OCS would increase MC. Optimization was performed under the condition that the rate of inbreeding did not exceed 1% and at least 30% of the maximum progress was achieved for all other criteria. Although traditional OCS provided the highest breeding values under restriction of classical kinship, the magnitude of MC in the progeny generation was not controlled. When MC were constrained or minimized, the kinship at native alleles increased compared to the reference scenario. Thus, in addition to constraining MC, constraining kinship at native alleles is required to ensure that native genetic diversity is maintained. When kinship at native alleles was constrained, the classical kinship was automatically lowered in most cases and more sires were selected. However, the average breeding value in the next generation was also lower than that obtained with traditional OCS. CONCLUSIONS: For local breeds with historical introgressions, current breeding programs should focus on increasing genetic gain and controlling inbreeding, as well as maintaining the genetic originality of the breeds and the diversity of native alleles via the inclusion of MC and kinship at native alleles in the OCS process. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12711-017-0320-7) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-12 /pmc/articles/PMC5427594/ /pubmed/28499352 http://dx.doi.org/10.1186/s12711-017-0320-7 Text en © The Author(s) 2017 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 Research Article
Wang, Yu
Bennewitz, Jörn
Wellmann, Robin
Novel optimum contribution selection methods accounting for conflicting objectives in breeding programs for livestock breeds with historical migration
title Novel optimum contribution selection methods accounting for conflicting objectives in breeding programs for livestock breeds with historical migration
title_full Novel optimum contribution selection methods accounting for conflicting objectives in breeding programs for livestock breeds with historical migration
title_fullStr Novel optimum contribution selection methods accounting for conflicting objectives in breeding programs for livestock breeds with historical migration
title_full_unstemmed Novel optimum contribution selection methods accounting for conflicting objectives in breeding programs for livestock breeds with historical migration
title_short Novel optimum contribution selection methods accounting for conflicting objectives in breeding programs for livestock breeds with historical migration
title_sort novel optimum contribution selection methods accounting for conflicting objectives in breeding programs for livestock breeds with historical migration
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5427594/
https://www.ncbi.nlm.nih.gov/pubmed/28499352
http://dx.doi.org/10.1186/s12711-017-0320-7
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