Improving hybrid rice breeding programs via stochastic simulations: number of parents, number of hybrids, tester update, and genomic prediction of hybrid performance.
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| Title: | Improving hybrid rice breeding programs via stochastic simulations: number of parents, number of hybrids, tester update, and genomic prediction of hybrid performance. |
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| Authors: | Fritsche-Neto R; International Rice Research Institute (IRRI), Los Banos, Philippines. rfneto@agcenter.lsu.edu.; H. Rouse Caffey Rice Research Station, LSU AgCenter, Rayne, USA. rfneto@agcenter.lsu.edu., Ali J; International Rice Research Institute (IRRI), Los Banos, Philippines. J.Ali@irri.org., De Asis EJ; International Rice Research Institute (IRRI), Los Banos, Philippines., Allahgholipour M; International Rice Research Institute (IRRI), Los Banos, Philippines., Labroo MR; Excellence in Breeding Platform, Consultative Group of International Agricultural Research, Lisbon, Mexico.; International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico. |
| Source: | TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik [Theor Appl Genet] 2023 Dec 12; Vol. 137 (1), pp. 3. Date of Electronic Publication: 2023 Dec 12. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 0145600 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-2242 (Electronic) Linking ISSN: 00405752 NLM ISO Abbreviation: Theor Appl Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-2242 |
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| DOI: | 10.1007/s00122-023-04508-6 |
