作物模拟与QTL定位的互补作用及其应用

 作物模型正日益用于设计不同环境中的理想株型育种。DNA分子标记可把复杂的数量性状分解成若干个数量性状位点（quantitative trait loci,QTL）的效应,并将QTL转入到栽培品系中去。作物模拟与QTL定位相结合,QTL将去除若干所测定模型输入参数的随机误差。这种基于QTL效应的作物模型,将弥补常规模型忽视其输入性状遗传效应的缺点,并能更准确地预测遗传群体中各个体间的产量差异。另一方面,作物模型能成为解释"基因型与环境互作"的有力工具,也将弥补QTL定位不能将一个环境条件试验分析结果外推到另一环境条件。基于上述分析,提出了一个将标记辅助育种与以模型为基础的理想株型育种的综合方法。

Combining Crop Modeling and QTL Mapping into an Integral Plant Breeding Strategy

Crop models have now been increasingly used to assist plant breeding to define crop ideotypes for different environments. In genetics, the advent of molecular markers enables the dissection of a complex trait into a number of quantitative trait loci (QTL), and assists the transfer of these QTL into desired cultivars or lines. A recent study has shown that QTL information can successfully be coupled to crop models to replace measured parameters. QTL-based modeling has overcomed the limitations in ideotyping of using models that ignore the inheritance of model-input traits. On the other hand, crop modeling can potentially be a powerful tool to resolve the interactions between genotype and environment and overcomes the limitation that QTL mapping cannot extend an experimental result of one environment to another environment condition. An approach that integrates marker-assisted selection into model-based ideotyping framework to support breeding for high crop yield was discussed.