How to achieve a higher selection plateau in forest tree breeding? Fostering heterozygote × homozygote relationships in optimal contribution selection in the case study of Populus nigra

Abstract In breeding, optimal contribution selection (OCS) is one of the most effective strategies to balance short‐ and long‐term genetic responses, by maximizing genetic gain and minimizing global coancestry. Considering genetic diversity in the selection dynamic—through coancestry—is undoubtedly...

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Autores principales: Mathieu Tiret, Marie Pégard, Leopoldo Sánchez
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Lenguaje:EN
Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/8c92519f3a604c2c984b97858784fcca
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spelling oai:doaj.org-article:8c92519f3a604c2c984b97858784fcca2021-11-15T07:15:49ZHow to achieve a higher selection plateau in forest tree breeding? Fostering heterozygote × homozygote relationships in optimal contribution selection in the case study of Populus nigra1752-457110.1111/eva.13300https://doaj.org/article/8c92519f3a604c2c984b97858784fcca2021-11-01T00:00:00Zhttps://doi.org/10.1111/eva.13300https://doaj.org/toc/1752-4571Abstract In breeding, optimal contribution selection (OCS) is one of the most effective strategies to balance short‐ and long‐term genetic responses, by maximizing genetic gain and minimizing global coancestry. Considering genetic diversity in the selection dynamic—through coancestry—is undoubtedly the reason for the success of OCS, as it avoids preliminary loss of favorable alleles. Originally formulated with the pedigree relationship matrix, global coancestry can nowadays be assessed with one of the possible formulations of the realized genomic relationship matrix. Most formulations were optimized for genomic evaluation, but few for the management of coancestry. We introduce here an alternative formulation specifically developed for genomic OCS (GOCS), intended to better control heterozygous loci, and thus better account for Mendelian sampling. We simulated a multigeneration breeding program with mate allocation and under GOCS for twenty generations, solved with quadratic programming. With the case study of Populus nigra, we have shown that, although the dynamic was mainly determined by the trade‐off between genetic gain and genetic diversity, better formulations of the genomic relationship matrix, especially those fostering individuals carrying multiple heterozygous loci, can lead to better short‐term genetic gain and a higher selection plateau.Mathieu TiretMarie PégardLeopoldo SánchezWileyarticlegenomic selectionheterozygote × homozygote relationshipoptimal contribution selectionquantitative geneticssimulationEvolutionQH359-425ENEvolutionary Applications, Vol 14, Iss 11, Pp 2635-2646 (2021)
institution DOAJ
collection DOAJ
language EN
topic genomic selection
heterozygote × homozygote relationship
optimal contribution selection
quantitative genetics
simulation
Evolution
QH359-425
spellingShingle genomic selection
heterozygote × homozygote relationship
optimal contribution selection
quantitative genetics
simulation
Evolution
QH359-425
Mathieu Tiret
Marie Pégard
Leopoldo Sánchez
How to achieve a higher selection plateau in forest tree breeding? Fostering heterozygote × homozygote relationships in optimal contribution selection in the case study of Populus nigra
description Abstract In breeding, optimal contribution selection (OCS) is one of the most effective strategies to balance short‐ and long‐term genetic responses, by maximizing genetic gain and minimizing global coancestry. Considering genetic diversity in the selection dynamic—through coancestry—is undoubtedly the reason for the success of OCS, as it avoids preliminary loss of favorable alleles. Originally formulated with the pedigree relationship matrix, global coancestry can nowadays be assessed with one of the possible formulations of the realized genomic relationship matrix. Most formulations were optimized for genomic evaluation, but few for the management of coancestry. We introduce here an alternative formulation specifically developed for genomic OCS (GOCS), intended to better control heterozygous loci, and thus better account for Mendelian sampling. We simulated a multigeneration breeding program with mate allocation and under GOCS for twenty generations, solved with quadratic programming. With the case study of Populus nigra, we have shown that, although the dynamic was mainly determined by the trade‐off between genetic gain and genetic diversity, better formulations of the genomic relationship matrix, especially those fostering individuals carrying multiple heterozygous loci, can lead to better short‐term genetic gain and a higher selection plateau.
format article
author Mathieu Tiret
Marie Pégard
Leopoldo Sánchez
author_facet Mathieu Tiret
Marie Pégard
Leopoldo Sánchez
author_sort Mathieu Tiret
title How to achieve a higher selection plateau in forest tree breeding? Fostering heterozygote × homozygote relationships in optimal contribution selection in the case study of Populus nigra
title_short How to achieve a higher selection plateau in forest tree breeding? Fostering heterozygote × homozygote relationships in optimal contribution selection in the case study of Populus nigra
title_full How to achieve a higher selection plateau in forest tree breeding? Fostering heterozygote × homozygote relationships in optimal contribution selection in the case study of Populus nigra
title_fullStr How to achieve a higher selection plateau in forest tree breeding? Fostering heterozygote × homozygote relationships in optimal contribution selection in the case study of Populus nigra
title_full_unstemmed How to achieve a higher selection plateau in forest tree breeding? Fostering heterozygote × homozygote relationships in optimal contribution selection in the case study of Populus nigra
title_sort how to achieve a higher selection plateau in forest tree breeding? fostering heterozygote × homozygote relationships in optimal contribution selection in the case study of populus nigra
publisher Wiley
publishDate 2021
url https://doaj.org/article/8c92519f3a604c2c984b97858784fcca
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