Human demand for wheat will continue to increase together with the continuous global population growth. Agronomic traits in wheat are susceptible to environmental conditions. Therefore, in breeding practice, priority is given to QTLs of agronomic traits that can be stably detected across multiple environments and over many years. In this study, QTL analysis was conducted for eight agronomic traits using an introgression line population across eight environments (drought stressed and well-watered) for 5 years. In total, 44 additive QTLs for the above agronomic traits were detected on 15 chromosomes. Among these, qPH-6A, qHD-1A, qSL-2A, qHD-2D and qSL-6A were detected across seven, six, five, five and four environments, respectively. The means in the phenotypic variation explained by these five QTLs were 12.26, 9.51, 7.77, 7.23, and 8.49%, respectively. We identified five stable QTLs, which includes qPH-6A, qHD-1A, qSL-2A, qHD-2D and qSL-6A. They play a critical role in wheat agronomic traits. One of the dwarf genes Rht14, Rht16, Rht18 and Rht25 on chromosome 6A might be the candidate gene for qPH-6A. The qHD-1A and qHD-2D were novel stable QTLs for heading date and they differed from known vernalization genes, photoperiod genes and earliness per se genes.

中文翻译：

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基于渗入系种群，为小麦（Triticum aestivum L.）的农艺性状挖掘稳定的数量性状基因座。

随着全球人口的持续增长，人类对小麦的需求将继续增加。小麦的农艺性状易受环境条件的影响。因此，在育种实践中，优先考虑可在多种环境和多年内稳定检测的农艺性状的QTL。在这项研究中，对8个农艺性状进行了QTL分析，使用了8个环境（干旱胁迫和浇水充足）中的渗入系种群，历时5年。总共在15条染色体上检测到44个以上农艺性状的加性QTL。其中，分别在七个，六个，五个，五个和四个环境中检测到qPH-6A，qHD-1A，qSL-2A，qHD-2D和qSL-6A。这五个QTL解释的表型变异平均值为12.26、9.51、7.77、7.23和8.49％，分别。我们确定了五个稳定的QTL，包括qPH-6A，qHD-1A，qSL-2A，qHD-2D和qSL-6A。它们在小麦农艺性状中起关键作用。染色体6A上的矮基因Rht14，Rht16，Rht18和Rht25之一可能是qPH-6A的候选基因。qHD-1A和qHD-2D是抽穗期的新型稳定QTL，它们不同于已知的春化基因，光周期基因和早熟本身基因。