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In present study,Fe,Zn,Mn,Cu,Ca,Mg,P and K contents of 85 introgression lines(ILs) derived from a cross between an elite indica cultivar Teqing and the wild rice(Oryza rufipogon) were measured by inductively coupled argon plasma(ICAP) spectrometry.Substantial variation was observed for all traits and most of the mineral elements were significantly positive correlated or independent except for Fe with Cu.A total of 31 putative quantitative trait loci(QTLs) were detected for these eight mineral elements by single point analysis.Wild rice(O.rufipogon) contributed favorable alleles for most of the QTLs(26 QTLs),and chromosomes 1,9 and 12 exhibited 14 QTLs(45%) for these traits.One major effect of QTL for zinc content accounted for the largest proportion of phenotypic variation(11%-19%) was detected near the simple sequence repeats marker RM152 on chromosome 8.The co-locations of QTLs for some mineral elements observed in this mapping population suggested the relationship was at a molecular level among these traits and could be helpful for simultaneous improvement of these traits in rice grain by marker assisted selection.
In present study, Fe, Zn, Mn, Cu, Ca, Mg, P and K contents of 85 introgression lines (ILs) derived from a cross between an elite indica cultivar Teqing and the wild rice (Oryza rufipogon) were measured by inductively coupled argon plasma (ICAP) spectrometry.Substantial variation was observed for all traits and most of the mineral elements were significantly positive correlated or independent except for Fe with Cu. A total of 31 putative quantitative trait loci (QTLs) were detected for these eight mineral elements by single point analysis. Wild rice (O. rufipogon) contributed favorable alleles for most of the QTLs (26 QTLs), and chromosomes 1,9 and 12 exhibited 14 QTLs (45%) for these traits. content accounted for the largest proportion of phenotypic variation (11% -19%) was detected near the simple sequence repeats marker RM152 on chromosome 8. The co-locations of QTLs for some mineral elements observed in this mapping population suggested the relationship was at a molecular level among these traits and could be helpful for simultaneous improvement of these traits in rice grain by marker assisted selection.