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为了定位水稻产量及其要素相关性状QTL并揭示各性状间相关的遗传基础,本研究以来源于杂交组合Lemont/特青的F12重组自交系群体为材料,在大田直播条件下对水稻单株产量、每穗颖花数、每穗实粒数、结实率、千粒重、始穗期、成熟期7个相关性状进行了QTL分析.共检测到22个产量要素相关性状QTL,分布于8条水稻染色体上,单个QTL的贡献率为6%~24%,单个性状QTL位点数为1~5个.共有4个染色体区段的共位点(co-located)QTL能同时影响2~4个产量要素相关性状,并且每个共位点QTL对性状作用的加性效应方向相同,其中2个增效等位基因来自Lemont,另外2个增效等位基因来自特青,这为各性状间表型相关提供了一定的遗传解释.
In order to locate the QTL for rice yield and its related traits and to reveal the genetic basis of the traits, we used the F12 recombinant inbred lines derived from Lemont / Teqing hybrids as materials, QTL analysis was conducted on seven traits related to grain yield, spikelet number per panicle, seed number per panicle, seed setting rate, grain weight per panicle, initial heading stage and maturity stage.A total of 22 QTLs for yield traits were detected in 8 rice On the chromosome, the contribution rate of single QTL is 6% -24%, and the number of QTL for a single trait is 1 to 5. The co-located QTLs of 4 chromosome segments can affect 2 to 4 outputs at the same time The QTLs for each locus had the same additive effects on the traits. Two of the alleles were from Lemont, and the other two alleles were from Teqing. Type correlation provides some genetic explanation.