Identification of QTLs for Drought-Related Traits in Alien Introgression Lines Derived from Crosses of Rice (Oryza sativa cv. IR64) × O. glaberrima under Lowland Moisture Stress

Drought is a major abiotic stress that limits rice productivity in rain-fed and upland ecosystems. African rice, Oryza glaberrima , has low yields but is tolerant to drought and other stresses. We evaluated 513 BC 2 F 3 progenies from alien introgression lines (AILs) that were derived from crosses o...

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Veröffentlicht in:Journal of plant biology = Singmul Hakhoe chi 2011, 54(4), , pp.237-250
Hauptverfasser: Bimpong, Isaac Kofi, Serraj, Rachid, Chin, Joong Hyoun, Ramos, Joie, Mendoza, Evelyn M. T., Hernandez, Jose E., Mendioro, Merlyn S., Brar, Darshan S.
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Sprache:eng
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Zusammenfassung:Drought is a major abiotic stress that limits rice productivity in rain-fed and upland ecosystems. African rice, Oryza glaberrima , has low yields but is tolerant to drought and other stresses. We evaluated 513 BC 2 F 3 progenies from alien introgression lines (AILs) that were derived from crosses of Oryza sativa (IR64) × O. glaberrima . They were assessed for yield and other traits when grown under drought at two locations. Such conditions reduced grain production by 59% compared with the recurrent parent (IR64). However, 33 AILs had higher yields, thus demonstrating their potential as genetic material for transferring drought-related traits from O. glaberrima to O. sativa. A set of 200 AILs was selectively genotyped with 173 simple sequence repeat and sequenced tagged site markers. Molecular analysis showed that a mean of 4.5% of the O. glaberrima genome was introgressed in BC 2 F 3 AILs. Our analysis revealed 33 quantitative trait loci (QTLs; including 10 novel) for different traits. O. glaberrima contributed 50% of the alleles to those newly identified QTLs, with one for grain yield per plant ( ypp9.1 ) being new. A QTL at RM208 on chromosome 2 positively affected yield under stress, accounting for 22% of the genetic variation. Our identification of drought-related QTLs for yield and yield components will be useful to future research efforts in marker-assisted selection.
ISSN:1226-9239
1867-0725
DOI:10.1007/s12374-011-9161-z