论文部分内容阅读
利用玉米自交系80007和80044为亲本,衍生包含355个家系的重组自交系(RIL)F9群体,采用SSR标记构建包括219个标记的连锁图谱,图谱总长度2 133.5 cM,标记间平均距离9.7 cM。采用完备区间作图法对控制玉米抽雄期、散粉期、吐丝期以及散粉至吐丝间隔期的4个生育期相关性状进行QTL分析。结果表明,共检测到60个QTL,其中抽雄期检测到20个QTL,吐丝期检测到15个QTL,散粉期检测到20个QTL,散粉至吐丝间隔期检测到5个QTL。共有7个QTL对表型变异的解释率超过了10%,表现为主效QTL效应,分布在第3、4和第9染色体。有11个QTL在不同环境中能重复检测出,是受环境影响较小、为较稳定的QTL。分析发现,生育期相关性状的QTL在染色体上有“成簇”分布的现象,并且贡献率较大的QTL控制着多个相关性状。结果表明,bin3.04-3.05、bin3.09、bin7.03和bin9.02-9.03是生育期相关性状QTL的密集区域,这些区域存在对生育期相关性状重要作用的位点。
Based on the inbred lines of maize inbred lines 80007 and 80044, the F9 population of 355 recombinant inbred lines (RILs) were derived from China. SSR markers were used to construct a linkage map consisting of 219 markers with a total length of 2 133.5 cM. The average distance between markers 9.7 cM. A QTL analysis was conducted on four traits related to control of tasseling, bolting, silking and silking to silking intervals in corn using a complete interval mapping method. The results showed that 60 QTLs were detected, of which 20 QTLs were detected during tasseling, 15 QTLs during silking and 20 QTLs during powdering and 5 QTLs between loose powder and silkworm. A total of seven QTLs explained more than 10% of the phenotypic variation, showing a major QTL effect on chromosomes 3, 4, and 9. Eleven QTLs were detected repeatedly in different environments and were QTLs that were less affected by the environment and more stable. The results showed that QTLs related to reproductive development had “cluster” distribution on chromosomes, and the QTLs with large contribution rate controlled many related traits. The results showed that bin3.04-3.05, bin3.09, bin7.03 and bin9.02-9.03 were the most important QTLs for growth-related traits. These regions have important roles in the traits related to growth period.