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在此前构建的含174个分子标记的连锁图基础上,新增31个分子标记,并利用统计分析的方法对基因型数据进行检测,剔除基因型明显有误的数据,构建了共包含205个分子标记,平均间距为11．2 cM,覆盖玉米全基因组10条染色体的分子标记连锁图．基于统计学的基因型数据检测,能显著提高连锁图构建的准确性．结合一年两点6个重复的田间实验,利用软件R/qtl进行主效和上位性QTL分析,同时利用多区间作图法(MIM)验证主效QTL和主效QTL互作的真实性和位置．通过MIM方法,检测到控制产量、行粒数、行数和百粒重的主效QTL分别为5,5,7和5个,分别能解释35.3％,37．4％(含1个互作QTL),61．5％和39．7％的遗传变异;除行粒数的2个QTL之间存在显著性互作之外,其他性状的主效QTL之间都没有检测到显著性互作存在．同时,还检测到24个上位性互作QTL,这些OTL涉及的位点几乎分布于所有10条染色体．这些互作QTL以主效QTL与无显著效应基因座之间的互作居多,对所有4个性状而言比例接近三分之二．这也说明主效QTL除了单独起作用之外还可以通过与其他没有显著效应的基因座之间互作来影响性状表达．结果表明,上位性QTL在玉米产量性状的遗传中可能与主效QTL一样也起着重要的作用．
Based on the linkage map containing 174 molecular markers previously constructed, 31 molecular markers were added and the genotypic data were detected by statistical analysis. Excluding the obviously erroneous genotypes, a total of 205 Molecular markers, with an average spacing of 11.2 cM, covering 10 maize genome genome molecular marker linkage map. Based on statistical genotypic data detection, the accuracy of linkage map construction can be significantly improved. Combined with 6 repeated field experiments of two and a half years, the major and epistatic QTLs were analyzed by software R / qtl, and the authenticity of the interaction between the major and major QTLs was verified by using the multiple interval mapping (MIM) position. According to the MIM method, the major QTLs for controlling grain yield, number of rows per line, number of rows and 100-kernel weight were 5, 5, 7 and 5, respectively, which could explain 35.3% and 37.4% QTL), 61.5% and 39.7%, respectively. No significant interaction was detected between the major QTLs of other traits, except for the significant interaction between the two QTLs exist. At the same time, 24 epistatic QTLs were detected, and these OTLs involved in almost all 10 chromosomes. The majority of these QTLs interacted with major QTLs and non-significant effect loci, and nearly two thirds of all 4 traits. This also shows that the major QTL can affect the expression of traits by interacting with other loci with no significant effect, in addition to acting alone. The results showed that the epistatic QTL may play an important role in the inheritance of maize yield traits as the major QTLs.