水旱条件下近红外发射光谱预报水稻直链淀粉含量与粗蛋白含量的QTL分析

以水稻珍汕97B和旱稻IRAT109杂交F9代重组自交系群体为材料，分别在水旱两种处理条件下，用近红外光谱回归模型预测群体的直链淀粉含量及粗蛋白含量。分析结果表明，两种处理条件下直链淀粉含量无显著差异，水分胁迫处理条件下粗蛋白含量显著降低。利用QTLMapper共检测到22个主效QTL和66对显著互作位点与直链淀粉含量和粗蛋白含量有关。主效QTL对直链淀粉和蛋白质含量的联合贡献率在非胁迫条件下为35.34%和37.33%，在胁迫条件下分别为53.40%和58.10％；互作位点对直链淀粉和蛋白质含量的联合贡献率在正常水分条件下分别为66.74%和57.49%，在胁迫条件下分别为48.65%和36.59%。

QTL Analysis for Amylose Content and Protein Content Predicted by Near Infrared Spectroscopy (NIRS) in Rice under Normal or Water Stress Conditions

Amylose content(AC),protein content(PC)of a recombinant inbred line population with 187 lines from the cross between Zhenshan 97B and IRAT109,were investigated under water stress and normal conditions.The result showed that PC under water stress was significantly lower than that under normal conditions,but the difference in AC was not significant.A total of 22 main effect QTLs and 66 pairs of epistasis were associated with AC and PC.The accumulated contributions of main effect QTLs for AC and PC were 35.34%,37.33% under normal conditions and 53.40%,58.10% under water stress condition,and the accumulated contribution of digenic epistasis for AC and PC were 66.74%,57.49% under normal conditions and 48.65%,36.59% under water stress conditions,respectively.