Optimizing quantitative trait loci introgression in elite rice germplasms: Comparing methods and population sizes to develop new recipients via stochastic simulations

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dc.creatorPlatten, John Damien
dc.creatorFritsche-Neto, Roberto
dc.date2023-08
dc.date2023-11-03T13:20:36Z
dc.date2023-11-03T13:20:36Z
dc.date.accessioned2026-06-27T04:12:16Z
dc.descriptionThis study compared three strategies to develop new recipients for quantitative trait loci (QTL) introgression (background recovery [BG], selective sweep [SS] and breeding value [BV]) in a short-term rice breeding programme (over five breeding cycles). Furthermore, we evaluated two different numbers of recipients (10 and 20) in the introgression process and how they influence the population performance and the QTL fixation over cycles. Finally, we used the International Rice Research Institute (IRRI) rice breeding framework as the model to perform the stochastic simulations. Each strategy was simulated and replicated 100 times. Regardless of the selection strategy used, the QTL introgression resulted in substantial penalties in yield performance. However, introducing fewer new parents to the augmentation process minimized this effect. Conversely, the time required to achieve fixation of target QTLs showed substantial differences, with selection for BV during augmentation outperforming other methods. Overall, the BV_10 strategy (10 parents selected based on genomic estimated BV) displayed the best trade-off between reduced penalty from introducing new QTLs with a reasonable speed at which those QTLs can achieve fixation over subsequent breeding cycles.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/132706
dc.identifier.urihttp://hdl.handle.net/123456789/24997
dc.languageen
dc.publisherWiley
dc.rightsOpen Access
dc.sourcePlatten, J. D., & Fritsche-Neto, R. (2023). Optimizing quantitative trait loci introgression in elite rice germplasms: Comparing methods and population sizes to develop new recipients via stochastic simulations. PlantBreeding,142(4), 439–448. https://doi.org/10.1111/pbr.13118448
dc.subjectgene transfer
dc.subjectgenomics
dc.subjectgenomic selection
dc.subjectsimulation
dc.titleOptimizing quantitative trait loci introgression in elite rice germplasms: Comparing methods and population sizes to develop new recipients via stochastic simulations
dc.typeJournal Article

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Instituto Internacional de Investigación del Arroz (IRRI)