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Key Genetic Parameters for Population Management
Population management has the primary task of maximizing the long-term competitiveness of a breed. Breeds compete with each other for being able to supply consumer demands at low costs and also for funds from conservation programs. The competition for consumer preference is won by breeds with high g...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707806/ https://www.ncbi.nlm.nih.gov/pubmed/31475027 http://dx.doi.org/10.3389/fgene.2019.00667 |
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author | Wellmann, Robin Bennewitz, Jörn |
author_facet | Wellmann, Robin Bennewitz, Jörn |
author_sort | Wellmann, Robin |
collection | PubMed |
description | Population management has the primary task of maximizing the long-term competitiveness of a breed. Breeds compete with each other for being able to supply consumer demands at low costs and also for funds from conservation programs. The competition for consumer preference is won by breeds with high genetic gain for total merit who maintained a sufficiently high genetic diversity, whereas the competition for funds is won by breeds with high conservation value. The conservation value of a breed could be improved by increasing its contribution to the gene pool of the species. This may include the recovery of its original genetic background and the maintenance of a high genetic diversity at native haplotype segments. The primary objective of a breeding program depends on the genetic state of the population and its intended usage. In this paper, we review the key genetic parameters that are relevant for population management, compare the methods for estimating them, derive the formulas for predicting their value at a future time, and clarify their usage in various types of breeding programs that differ in their main objectives. These key parameters are kinships, native kinships, breeding values, Mendelian sampling variances, native contributions, and mutational effects. Population management currently experiences a transition from using pedigree-based estimates to marker-based estimates, which improves the accuracies of these estimates and thereby increases response to selection. In addition, improved measures of the factors that determine the competitiveness of a breed and utilize auxiliary parameters, such as Mendelian sampling variances, mutational effects, and native kinships, enable to improve further upon historic recommendations for genetic population management. |
format | Online Article Text |
id | pubmed-6707806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67078062019-08-30 Key Genetic Parameters for Population Management Wellmann, Robin Bennewitz, Jörn Front Genet Genetics Population management has the primary task of maximizing the long-term competitiveness of a breed. Breeds compete with each other for being able to supply consumer demands at low costs and also for funds from conservation programs. The competition for consumer preference is won by breeds with high genetic gain for total merit who maintained a sufficiently high genetic diversity, whereas the competition for funds is won by breeds with high conservation value. The conservation value of a breed could be improved by increasing its contribution to the gene pool of the species. This may include the recovery of its original genetic background and the maintenance of a high genetic diversity at native haplotype segments. The primary objective of a breeding program depends on the genetic state of the population and its intended usage. In this paper, we review the key genetic parameters that are relevant for population management, compare the methods for estimating them, derive the formulas for predicting their value at a future time, and clarify their usage in various types of breeding programs that differ in their main objectives. These key parameters are kinships, native kinships, breeding values, Mendelian sampling variances, native contributions, and mutational effects. Population management currently experiences a transition from using pedigree-based estimates to marker-based estimates, which improves the accuracies of these estimates and thereby increases response to selection. In addition, improved measures of the factors that determine the competitiveness of a breed and utilize auxiliary parameters, such as Mendelian sampling variances, mutational effects, and native kinships, enable to improve further upon historic recommendations for genetic population management. Frontiers Media S.A. 2019-08-16 /pmc/articles/PMC6707806/ /pubmed/31475027 http://dx.doi.org/10.3389/fgene.2019.00667 Text en Copyright © 2019 Wellmann and Bennewitz http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Wellmann, Robin Bennewitz, Jörn Key Genetic Parameters for Population Management |
title | Key Genetic Parameters for Population Management |
title_full | Key Genetic Parameters for Population Management |
title_fullStr | Key Genetic Parameters for Population Management |
title_full_unstemmed | Key Genetic Parameters for Population Management |
title_short | Key Genetic Parameters for Population Management |
title_sort | key genetic parameters for population management |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707806/ https://www.ncbi.nlm.nih.gov/pubmed/31475027 http://dx.doi.org/10.3389/fgene.2019.00667 |
work_keys_str_mv | AT wellmannrobin keygeneticparametersforpopulationmanagement AT bennewitzjorn keygeneticparametersforpopulationmanagement |