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Response to selection while maximizing genetic variance in small populations

BACKGROUND: Rare breeds represent a valuable resource for future market demands. These populations are usually well-adapted, but their low census compromises the genetic diversity and future of these breeds. Since improvement of a breed for commercial traits may also confer higher probabilities of s...

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Autores principales: Cervantes, Isabel, Gutiérrez, Juan Pablo, Meuwissen, Theo H.E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5030739/
https://www.ncbi.nlm.nih.gov/pubmed/27649906
http://dx.doi.org/10.1186/s12711-016-0248-3
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author Cervantes, Isabel
Gutiérrez, Juan Pablo
Meuwissen, Theo H.E.
author_facet Cervantes, Isabel
Gutiérrez, Juan Pablo
Meuwissen, Theo H.E.
author_sort Cervantes, Isabel
collection PubMed
description BACKGROUND: Rare breeds represent a valuable resource for future market demands. These populations are usually well-adapted, but their low census compromises the genetic diversity and future of these breeds. Since improvement of a breed for commercial traits may also confer higher probabilities of survival for the breed, it is important to achieve good responses to artificial selection. Therefore, efficient genetic management of these populations is essential to ensure that they respond adequately to genetic selection in possible future artificial selection scenarios. Scenarios that maximize the maximum genetic variance in a unique population could be a valuable option. The aim of this work was to study the effect of the maximization of genetic variance to increase selection response and improve the capacity of a population to adapt to a new environment/production system. RESULTS: We simulated a random scenario (A), a full-sib scenario (B), a scenario applying the maximum variance total (MVT) method (C), a MVT scenario with a restriction on increases in average inbreeding (D), a MVT scenario with a restriction on average individual increases in inbreeding (E), and a minimum coancestry scenario (F). Twenty replicates of each scenario were simulated for 100 generations, followed by 10 generations of selection. Effective population size was used to monitor the outcomes of these scenarios. Although the best response to selection was achieved in scenarios B and C, they were discarded because they are unpractical. Scenario A was also discarded because of its low response to selection. Scenario D yielded less response to selection and a smaller effective population size than scenario E, for which response to selection was higher during early generations because of the moderately structured population. In scenario F, response to selection was slightly higher than in Scenario E in the last generations. CONCLUSIONS: Application of MVT with a restriction on individual increases in inbreeding resulted in the largest response to selection during early generations, but if inbreeding depression is a concern, a minimum coancestry scenario is then a valuable alternative, in particular for a long-term response to selection.
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spelling pubmed-50307392016-09-27 Response to selection while maximizing genetic variance in small populations Cervantes, Isabel Gutiérrez, Juan Pablo Meuwissen, Theo H.E. Genet Sel Evol Research Article BACKGROUND: Rare breeds represent a valuable resource for future market demands. These populations are usually well-adapted, but their low census compromises the genetic diversity and future of these breeds. Since improvement of a breed for commercial traits may also confer higher probabilities of survival for the breed, it is important to achieve good responses to artificial selection. Therefore, efficient genetic management of these populations is essential to ensure that they respond adequately to genetic selection in possible future artificial selection scenarios. Scenarios that maximize the maximum genetic variance in a unique population could be a valuable option. The aim of this work was to study the effect of the maximization of genetic variance to increase selection response and improve the capacity of a population to adapt to a new environment/production system. RESULTS: We simulated a random scenario (A), a full-sib scenario (B), a scenario applying the maximum variance total (MVT) method (C), a MVT scenario with a restriction on increases in average inbreeding (D), a MVT scenario with a restriction on average individual increases in inbreeding (E), and a minimum coancestry scenario (F). Twenty replicates of each scenario were simulated for 100 generations, followed by 10 generations of selection. Effective population size was used to monitor the outcomes of these scenarios. Although the best response to selection was achieved in scenarios B and C, they were discarded because they are unpractical. Scenario A was also discarded because of its low response to selection. Scenario D yielded less response to selection and a smaller effective population size than scenario E, for which response to selection was higher during early generations because of the moderately structured population. In scenario F, response to selection was slightly higher than in Scenario E in the last generations. CONCLUSIONS: Application of MVT with a restriction on individual increases in inbreeding resulted in the largest response to selection during early generations, but if inbreeding depression is a concern, a minimum coancestry scenario is then a valuable alternative, in particular for a long-term response to selection. BioMed Central 2016-09-20 /pmc/articles/PMC5030739/ /pubmed/27649906 http://dx.doi.org/10.1186/s12711-016-0248-3 Text en © The Author(s) 2016 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
Cervantes, Isabel
Gutiérrez, Juan Pablo
Meuwissen, Theo H.E.
Response to selection while maximizing genetic variance in small populations
title Response to selection while maximizing genetic variance in small populations
title_full Response to selection while maximizing genetic variance in small populations
title_fullStr Response to selection while maximizing genetic variance in small populations
title_full_unstemmed Response to selection while maximizing genetic variance in small populations
title_short Response to selection while maximizing genetic variance in small populations
title_sort response to selection while maximizing genetic variance in small populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5030739/
https://www.ncbi.nlm.nih.gov/pubmed/27649906
http://dx.doi.org/10.1186/s12711-016-0248-3
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