水稻产量因子的遗传主效应及基因型和环境互作效应的QTL分析(英文)

QTL Analysis of Genetic Main Effects and Genotype (Environment Interaction Effects for Yield Components in Rice Oryza sativa L.)

在构建 DH群体 RFLP图谱的基础上定位了产量因子的数量性状位点 (QTL) .在杭州和海南两地分别种植包括 12 3个 DH原的 DH群体及其亲本 IR6 4和 Azucena,并对产量因子性状进行了测定 .运用调整无偏预测 (AUP)法预测遗传主效应值和 GE互作效应值 ,并用于 QTL定位 .结果表明 ,一些有主效应的 QTL同时具有 QTL×环境 (QE)互作效应 ,而一些没有主效应的 QTL也可以有 QE互作效应 .研究还表明 ,QTL对环境的敏感性不同 ,有的 QTL只能在一个环境中检测到 ,而另一些 QTL能在二个环境中都检测到 .产量因子包括总粒数和实粒数的 QTL无论是主效还是 QE互作效应均具有较大的加性效应值 ,这些 QTL在两个环境中起主基因的作用 .

Quantitative trait loci (QTL) for yield components were identified based on an RFLP map from a DH population. The 123 double haploid lines with their parents IR64 and Azucena were evaluated in the field in two different environments (Hangzhou and Hainan). Genetic main effects and GE interaction effects were predicted by an adjusted unbiased prediction (AUP) method and used in QTL mapping. The results indicated that some QTLs detected with QTL main effects might also have QTL environment (QE) interaction effects. In contrast some identified QTLs were mainly controlled by QE interaction effects without significant QTL main effects. The study also indicated that individual QTL showed a range of sensibility to environments as some QTLs were detected only in a single environment while others were detected in two environments. It is also shown that QTL associated with yield components (total grains and full grains) had large additive effects for both QTL main effects and QE interaction effects. These QTLs seem to act as major gene in both environments.