Stochastic simulation to optimize rice breeding at IRRI

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dc.creatorSeck, Fallou
dc.creatorPrakash, Parthiban Thathapalli
dc.creatorCovarrubias-Pazaran, Giovanny
dc.creatorGueye, Tala
dc.creatorDiédhiou, Ibrahima
dc.creatorBhosale, Sankalp
dc.creatorKadaru, Suresh
dc.creatorBartholomé, Jerome
dc.date2024-11-01
dc.date2025-01-10T07:13:53Z
dc.date2025-01-10T07:13:53Z
dc.date.accessioned2026-06-27T04:09:50Z
dc.descriptionGenetic improvement in rice increased yield potential and improved varieties for farmers over the last decades. However, the demand for rice is growing while its cultivation faces challenges posed by climate change. To address these challenges, rice breeding programs need to adopt efficient breeding strategies to provide a steady increase in the rate of genetic gain for major traits. The International Rice Research Institute (IRRI) breeding program has evolved over time to implement faster and more efficient breeding techniques such as rapid generation advance (RGA) and genomic selection (GS). Simulation experiments support data-driven optimization of the breeding program toward the desired rate of genetic gain for key traits.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/168822
dc.identifier.urihttp://hdl.handle.net/123456789/23616
dc.languageen
dc.publisherFrontiers Media
dc.rightsOpen Access
dc.sourceSeck, F.; Prakash, P.T.; Covarrubias-Pazaran, G.; Gueye, T.; Diédhiou, I.; Bhosale, S.; Kadaru, S.; Bartholomé, J.. (2024) Stochastic simulation to optimize rice breeding at IRRI. Frontiers in Plant Science 15: 1488814. ISSN: 1664-462X
dc.subjectrice
dc.subjectplant breeding
dc.subjectoptimization methods
dc.titleStochastic simulation to optimize rice breeding at IRRI
dc.typeJournal Article

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Instituto Internacional de Investigación del Arroz (IRRI)