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利用2套具有共同亲本黄早四且分别含有230个及235个家系的F2:3群体,结合2年多点的表型鉴定,运用完备复合区间作图方法对不同生态环境下(2007-北京、2008-北京、2007-河南、2008-河南、2007-新疆以及2008-新疆)的玉米雄穗分枝数和雄穗重进行QTL定位。同时,利用基于混合线性模型的QTLNetwork-2.0软件进行基因×环境互作及上位性分析。6个环境下2个群体共检测到51个与雄穗分枝数和雄穗重相关的QTL(Q/H群体32个,Y/H群体19个),其中包括7个主效QTL,并在Q/H群体中确定了2个重要的QTL,即位于7.01bin的Qqtpbn7-1和位于7.02bin的Qqtw7-2。对比2个群体的定位结果,共挖掘到3个在不同遗传背景下的“一致性”QTL,这些在不同环境及不同遗传背景下能够稳定存在的QTL可为玉米雄穗相关性状的生产应用以及精细定位提供有价值的参考。
Two sets of F2: 3 populations with common parents Huangzaozhai with 230 and 235 pedigrees, respectively, combined with 2-year multi-point phenotypic characterization, were used to analyze the genetic diversity of different populations under different ecological environments , 2008- Beijing, 2007- Henan, 2008- Henan, 2007- Xinjiang and 2008- Xinjiang) were used to map QTLs for maize tassel number and tassel weight. At the same time, we used QTLNetwork-2.0 software based on hybrid linear model to do gene × environment interaction and epistasis analysis. A total of 51 QTLs related to tassel number and tassel weight were detected in 2 populations in 6 environments (32 Q / H populations and 19 Y / H populations), including 7 major QTLs Two important QTLs were identified in the Q / H population, Qqtpbn7-1 at 7.01 bin and Qqtw7-2 at 7.02 bin. Comparing the results of two groups of loci, we found three QTLs consistent with different genetic backgrounds under the different genetic background, and these QTLs could be stable in different environments and different genetic backgrounds. Application and fine positioning to provide valuable reference.