Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation
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 re...
| Autores principales: | , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/132701 |
| _version_ | 1855523974440550400 |
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| author | Labroo, Marlee R. Endelman, Jeffrey B. Gemenet, Dorcus C. Werner, Christian R. Gaynor, Robert Chris Covarrubias Pazaran, Giovanny Eduardo |
| author_browse | Covarrubias Pazaran, Giovanny Eduardo Endelman, Jeffrey B. Gaynor, Robert Chris Gemenet, Dorcus C. Labroo, Marlee R. Werner, Christian R. |
| author_facet | Labroo, Marlee R. Endelman, Jeffrey B. Gemenet, Dorcus C. Werner, Christian R. Gaynor, Robert Chris Covarrubias Pazaran, Giovanny Eduardo |
| author_sort | Labroo, Marlee R. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Journal Article |
| id | CGSpace132701 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1327012025-12-08T09:54:28Z 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 Eduardo breeding dominance heterosis parents hybrids costs genetic grain breeding value diploids recurrent selection unit costs 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. 2023-07 2023-11-03T11:23:59Z 2023-11-03T11:23:59Z Journal Article https://hdl.handle.net/10568/132701 en Open Access application/pdf Springer Labroo, Marlee R., Jeffrey B. Endelman, Dorcus C. Gemenet, Christian R. Werner, Robert Chris Gaynor, and Giovanny E. Covarrubias-Pazaran. "Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation." Theoretical and Applied Genetics 136, no. 7 (2023): 147. |
| spellingShingle | breeding dominance heterosis parents hybrids costs genetic grain breeding value diploids recurrent selection unit costs Labroo, Marlee R. Endelman, Jeffrey B. Gemenet, Dorcus C. Werner, Christian R. Gaynor, Robert Chris Covarrubias Pazaran, Giovanny Eduardo 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 | breeding dominance heterosis parents hybrids costs genetic grain breeding value diploids recurrent selection unit costs |
| url | https://hdl.handle.net/10568/132701 |
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