Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation
| cg.authorship.types | CGIAR and advanced research institute | |
| cg.contributor.affiliation | CGIAR Excellence in Breeding Platform | |
| cg.contributor.affiliation | International Maize and Wheat Improvement Center | |
| cg.contributor.affiliation | University of Wisconsin | |
| cg.contributor.affiliation | Bayer Crop Science | |
| cg.contributor.crp | Agriculture for Nutrition and Health | |
| cg.contributor.crp | Excellence in Breeding | |
| cg.contributor.donor | Bill & Melinda Gates Foundation | |
| cg.contributor.donor | CGIAR Trust Fund | |
| cg.contributor.initiative | Accelerated Breeding | |
| cg.creator.identifier | Marlee Labroo: 0000-0001-6540-2084 | |
| cg.creator.identifier | Jeffrey Endelman: 0000-0003-0957-4337 | |
| cg.creator.identifier | Dorcus Gemenet: 0000-0003-4901-1694 | |
| cg.creator.identifier | Robert Gaynor: 0000-0003-0558-6656 | |
| cg.creator.identifier | GIOVANNY COVARRUBIAS-PAZARAN: 0000-0002-7194-3837 | |
| cg.howPublished | Formally Published | |
| cg.identifier.doi | https://doi.org/10.1007/s00122-023-04377-z | |
| cg.isijournal | ISI Journal | |
| cg.issn | 0040-5752 | |
| cg.issue | 7 | |
| cg.journal | Theoretical and Applied Genetics | |
| cg.number | 147 | |
| cg.place | Springer, Germany | |
| cg.reviewStatus | Peer Review | |
| cg.subject.actionArea | Genetic Innovation | |
| cg.subject.actionArea | Resilient Agrifood Systems | |
| cg.subject.actionArea | Systems Transformation | |
| cg.subject.impactArea | Environmental health and biodiversity | |
| cg.subject.impactArea | Nutrition, health and food security | |
| cg.subject.impactArea | Poverty reduction, livelihoods and jobs | |
| cg.subject.impactPlatform | Nutrition, Health and Food Security | |
| cg.subject.impactPlatform | Poverty Reduction, Livelihoods and Jobs | |
| cg.subject.sdg | SDG 1 - No poverty | |
| cg.subject.sdg | SDG 2 - Zero hunger | |
| cg.subject.sdg | SDG 3 - Good health and well-being | |
| cg.subject.sdg | SDG 9 - Industry, innovation and infrastructure | |
| cg.subject.sdg | SDG 11 - Sustainable cities and communities | |
| cg.subject.sdg | SDG 17 - Partnerships for the goals | |
| cg.volume | 136 | |
| dc.contributor.author | Labroo, Marlee R. | |
| dc.contributor.author | Endelman, Jeffrey B. | |
| dc.contributor.author | Gemenet, Dorcus C. | |
| dc.contributor.author | Werner, Christian R. | |
| dc.contributor.author | Gaynor, Robert Chris | |
| dc.contributor.author | Covarrubias Pazaran, Giovanny Eduardo | |
| dc.date.accessioned | 2023-11-03T11:23:59Z | en |
| dc.date.available | 2023-11-03T11:23:59Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/132701 | |
| dc.title | Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation | en |
| dcterms.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. | en |
| dcterms.accessRights | Open Access | |
| dcterms.audience | CGIAR | |
| dcterms.audience | Development Practitioners | |
| dcterms.audience | Donors | |
| dcterms.audience | Farmers | |
| dcterms.audience | Policy Makers | |
| dcterms.audience | Scientists | |
| dcterms.available | 2023-05-05 | |
| dcterms.bibliographicCitation | 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. | en |
| dcterms.extent | 19 p. | |
| dcterms.issued | 2023-07 | |
| dcterms.language | en | |
| dcterms.license | CC-BY-4.0 | |
| dcterms.publisher | Springer | |
| dcterms.subject | breeding | en |
| dcterms.subject | dominance | en |
| dcterms.subject | heterosis | en |
| dcterms.subject | parents | en |
| dcterms.subject | hybrids | en |
| dcterms.subject | costs | en |
| dcterms.subject | genetic grain | en |
| dcterms.subject | breeding value | en |
| dcterms.subject | diploids | en |
| dcterms.subject | recurrent selection | en |
| dcterms.subject | unit costs | en |
| dcterms.type | Journal Article |