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Identification of QTLs for Drought-Related Traits in Alien Introgression Lines Derived from Crosses of Rice (Oryza sativa cv. IR64) ${ imes}$ O. glaberrima under Lowland Moisture Stress
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  • Identification of QTLs for Drought-Related Traits in Alien Introgression Lines Derived from Crosses of Rice (Oryza sativa cv. IR64) ${ imes}$ O. glaberrima under Lowland Moisture Stress
  • Identification of QTLs for Drought-Related Traits in Alien Introgression Lines Derived from Crosses of Rice (Oryza sativa cv. IR64) ${ imes}$ O. glaberrima under Lowland Moisture Stress
저자명
Bimpong. Isaac Kofi,Serraj. Rachid,Chin. Joong Hyoun,Ramos. Joie,Mendoza. Evelyn M.T.,Hernandez. Jose E.,Mendioro. Merlyn S.,Bra
간행물명
Journal of plant biology
권/호정보
2011년|54권 4호|pp.237-250 (14 pages)
발행정보
한국식물학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

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 $BC_2F_3$ progenies from alien introgression lines (AILs) that were derived from crosses of Oryza sativa (IR64) ${ imes}$ 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 $BC_2F_3$ 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.