Stochastic simulation to optimize rice breeding at IRRI
Genetic 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...
| Autores principales: | , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Frontiers Media
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/168822 |
| _version_ | 1855521868574883840 |
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| author | Seck, Fallou Prakash, Parthiban Thathapalli Covarrubias-Pazaran, Giovanny Gueye, Tala Diédhiou, Ibrahima Bhosale, Sankalp Kadaru, Suresh Bartholomé, Jerome |
| author_browse | Bartholomé, Jerome Bhosale, Sankalp Covarrubias-Pazaran, Giovanny Diédhiou, Ibrahima Gueye, Tala Kadaru, Suresh Prakash, Parthiban Thathapalli Seck, Fallou |
| author_facet | Seck, Fallou Prakash, Parthiban Thathapalli Covarrubias-Pazaran, Giovanny Gueye, Tala Diédhiou, Ibrahima Bhosale, Sankalp Kadaru, Suresh Bartholomé, Jerome |
| author_sort | Seck, Fallou |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Genetic 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. |
| format | Journal Article |
| id | CGSpace168822 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1688222025-12-08T10:29:22Z Stochastic simulation to optimize rice breeding at IRRI Seck, Fallou Prakash, Parthiban Thathapalli Covarrubias-Pazaran, Giovanny Gueye, Tala Diédhiou, Ibrahima Bhosale, Sankalp Kadaru, Suresh Bartholomé, Jerome rice plant breeding optimization methods Genetic 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. 2024-11-01 2025-01-10T07:13:53Z 2025-01-10T07:13:53Z Journal Article https://hdl.handle.net/10568/168822 en Open Access application/pdf Frontiers Media Seck, 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 |
| spellingShingle | rice plant breeding optimization methods Seck, Fallou Prakash, Parthiban Thathapalli Covarrubias-Pazaran, Giovanny Gueye, Tala Diédhiou, Ibrahima Bhosale, Sankalp Kadaru, Suresh Bartholomé, Jerome Stochastic simulation to optimize rice breeding at IRRI |
| title | Stochastic simulation to optimize rice breeding at IRRI |
| title_full | Stochastic simulation to optimize rice breeding at IRRI |
| title_fullStr | Stochastic simulation to optimize rice breeding at IRRI |
| title_full_unstemmed | Stochastic simulation to optimize rice breeding at IRRI |
| title_short | Stochastic simulation to optimize rice breeding at IRRI |
| title_sort | stochastic simulation to optimize rice breeding at irri |
| topic | rice plant breeding optimization methods |
| url | https://hdl.handle.net/10568/168822 |
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