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Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation

KEY MESSAGE: Reciprocal recurrent selection sometimes increases genetic gain per unit cost in clonal diploids with heterosis due to dominance, but it typically does not benefit autopolyploids. ABSTRACT: Breeding can change the dominance as well as additive genetic value of populations, thus utilizin...

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Autores principales: Labroo, Marlee R., Endelman, Jeffrey B., Gemenet, Dorcus C., Werner, Christian R., Gaynor, Robert Chris, Covarrubias-Pazaran, Giovanny E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250475/
https://www.ncbi.nlm.nih.gov/pubmed/37291402
http://dx.doi.org/10.1007/s00122-023-04377-z
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author Labroo, Marlee R.
Endelman, Jeffrey B.
Gemenet, Dorcus C.
Werner, Christian R.
Gaynor, Robert Chris
Covarrubias-Pazaran, Giovanny E.
author_facet Labroo, Marlee R.
Endelman, Jeffrey B.
Gemenet, Dorcus C.
Werner, Christian R.
Gaynor, Robert Chris
Covarrubias-Pazaran, Giovanny E.
author_sort Labroo, Marlee R.
collection PubMed
description KEY MESSAGE: Reciprocal recurrent selection sometimes increases genetic gain per unit cost in clonal diploids with heterosis due to dominance, but it typically does not benefit autopolyploids. ABSTRACT: Breeding can change the dominance as well as additive genetic value of populations, thus utilizing heterosis. A common hybrid breeding strategy is reciprocal recurrent selection (RRS), in which parents of hybrids are typically recycled within pools based on general combining ability. However, the relative performances of RRS and other breeding strategies have not been thoroughly compared. RRS can have relatively increased costs and longer cycle lengths, but these are sometimes outweighed by its ability to harness heterosis due to dominance. Here, we used stochastic simulation to compare genetic gain per unit cost of RRS, terminal crossing, recurrent selection on breeding value, and recurrent selection on cross performance considering different amounts of population heterosis due to dominance, relative cycle lengths, time horizons, estimation methods, selection intensities, and ploidy levels. In diploids with phenotypic selection at high intensity, whether RRS was the optimal breeding strategy depended on the initial population heterosis. However, in diploids with rapid-cycling genomic selection at high intensity, RRS was the optimal breeding strategy after 50 years over almost all amounts of initial population heterosis under the study assumptions. Diploid RRS required more population heterosis to outperform other strategies as its relative cycle length increased and as selection intensity and time horizon decreased. The optimal strategy depended on selection intensity, a proxy for inbreeding rate. Use of diploid fully inbred parents vs. outbred parents with RRS typically did not affect genetic gain. In autopolyploids, RRS typically did not outperform one-pool strategies regardless of the initial population heterosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-023-04377-z.
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spelling pubmed-102504752023-06-10 Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation Labroo, Marlee R. Endelman, Jeffrey B. Gemenet, Dorcus C. Werner, Christian R. Gaynor, Robert Chris Covarrubias-Pazaran, Giovanny E. Theor Appl Genet Original Article KEY MESSAGE: Reciprocal recurrent selection sometimes increases genetic gain per unit cost in clonal diploids with heterosis due to dominance, but it typically does not benefit autopolyploids. ABSTRACT: Breeding can change the dominance as well as additive genetic value of populations, thus utilizing heterosis. A common hybrid breeding strategy is reciprocal recurrent selection (RRS), in which parents of hybrids are typically recycled within pools based on general combining ability. However, the relative performances of RRS and other breeding strategies have not been thoroughly compared. RRS can have relatively increased costs and longer cycle lengths, but these are sometimes outweighed by its ability to harness heterosis due to dominance. Here, we used stochastic simulation to compare genetic gain per unit cost of RRS, terminal crossing, recurrent selection on breeding value, and recurrent selection on cross performance considering different amounts of population heterosis due to dominance, relative cycle lengths, time horizons, estimation methods, selection intensities, and ploidy levels. In diploids with phenotypic selection at high intensity, whether RRS was the optimal breeding strategy depended on the initial population heterosis. However, in diploids with rapid-cycling genomic selection at high intensity, RRS was the optimal breeding strategy after 50 years over almost all amounts of initial population heterosis under the study assumptions. Diploid RRS required more population heterosis to outperform other strategies as its relative cycle length increased and as selection intensity and time horizon decreased. The optimal strategy depended on selection intensity, a proxy for inbreeding rate. Use of diploid fully inbred parents vs. outbred parents with RRS typically did not affect genetic gain. In autopolyploids, RRS typically did not outperform one-pool strategies regardless of the initial population heterosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-023-04377-z. Springer Berlin Heidelberg 2023-06-08 2023 /pmc/articles/PMC10250475/ /pubmed/37291402 http://dx.doi.org/10.1007/s00122-023-04377-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Labroo, Marlee R.
Endelman, Jeffrey B.
Gemenet, Dorcus C.
Werner, Christian R.
Gaynor, Robert Chris
Covarrubias-Pazaran, Giovanny E.
Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation
title Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation
title_full Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation
title_fullStr Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation
title_full_unstemmed Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation
title_short Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation
title_sort clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250475/
https://www.ncbi.nlm.nih.gov/pubmed/37291402
http://dx.doi.org/10.1007/s00122-023-04377-z
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