Abstract
Using mixed-model-based composite interval map** and conditional statistical methods, we studied quantitative trait loci (QTLs) with epistatic effects and QTLs by environment interaction effects for rice seed set percent (SSP), filled grain number per plant (FGP), and panicle length (PL). A population of 241 recombinant inbred lines was used which was derived from a cross between “Zhenshan 97” and “Minghui 63.” Its linkage map included 221 molecular markers. Our QTL analysis detected 28, 25, and 32 QTLs for SSP, FGP, and PL, respectively. Each QTL explained 1.37%∼13.19% of the mean phenotypic variation. A comparison of conventional and conditional map** provided information about the genetic control system involved in the synthetic process of SSP, FGP, and PL at the level of individual QTLs. Conditional QTLs with reduced (or increased) effects were identified for SSP, which were significantly influenced by FGP or PL. Some QTLs could express independently for the given traits, thereby providing possibilities for simultaneous improvement of SSR and PL, and SSR and FGP. Epistasis was more sensitive to environmental conditions than were additive effects.
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Acknowledgments
We thank Prof. Qifa Zhang for providing the map** population and linkage map. This work was supported in part by the National Key Project of Scientific and Technical Supporting Programs, funded by the Ministry of Science and Technology of China (2008BAK41B01-4); and by the Project of Wenzhou Science and Technology Bureau (N20080018).
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Ye, Z., Wang, J., Liu, Q. et al. Genetic Relationships Among Panicle Characteristics of Rice (Oryza sativa L.) Using Unconditional and Conditional QTL Analyses. J. Plant Biol. 52, 259–267 (2009). https://doi.org/10.1007/s12374-009-9026-x
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DOI: https://doi.org/10.1007/s12374-009-9026-x