王 盈,赵 磊,董中东,任 妍,张 宁,陈 锋.小麦株高和旗叶相关性状的QTL定位[J].麦类作物学报,2019,(7):761 |
小麦株高和旗叶相关性状的QTL定位 |
QTL Mapping for Plant Height and Flag Leaf Traits in Common Wheat |
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DOI:10.7606/j.issn.1009-1041.2019.07.01 |
中文关键词: 小麦 株高 旗叶性状 重组自交系 QTL定位 |
英文关键词:Common wheat Plant height Flag leaf trait Recombinant inbred lines QTL mapping |
基金项目:国家重点研发计划项目(2016YFD0100500);河南省重大科技专项(181100110200);河南省科技创新杰出青年基金项目(174100510001);河南省科技计划项目(182102110120) |
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中文摘要: |
合理的株型对提高小麦产量、品质、抗性以及光能利用效率具有重要作用。为了实现小麦株型相关QTLs的精细定位和定向改良,本研究以普通小麦品系Shanghai 3/Catbird和Naxos为亲本创制的F10代重组自交系(recombinant inbred lines, RILs)为材料,于2016年和2017年分别在郑州和原阳两地进行表型鉴定,对株高、旗叶长和旗叶宽等株型相关性状进行QTL定位。结合覆盖全基因组的基因型检测结果,利用基于完备区间作图法的QTL IciMapping软件进行遗传连锁图谱构建及QTL分析,共鉴定到3个在多个环境下稳定存在的株型相关性状的新QTLs,分别位于6A和2B染色体上,命名为 Qph-6A、 Qfll-6A和 Qflw-2B,单个QTL在不同环境中可分别解释表型变异的8.33%~13.93%、8.10%~8.18%和9.14%~9.46%。 |
英文摘要: |
Wheat plant architecture mainly refers to the morphological characteristics of the aerial parts and the spatial arrangement of stems and leaves of wheat plants. Reasonable plant architecture plays an important role in improving wheat yield, quality, resistance and light use efficiency. Improvement of plant architecture has always been an important breeding target pursued by breeders. In this study, recombinant inbred lines(RILs) of F10 generation, derived from a cross between wheat line Shanghai 3/Catbird(SHA3/CBRD) and a German cultivar Naxos, were used as research materials. The traits related to plant architecture, including plant height, flag leaf length and flag leaf width, were used for QTL mapping analysis. Phenotypic identification was carried out in Zhengzhou and Yuanyang of Henan province in 2016 and 2017. Based on the genome-wide genotyping results, the construction of genetic linkage map and QTL analysis were carried out using QTL Ici Mapping integrated software based on the complete interval mapping method. The results showed that three new QTLs, named as Qph-6A, Qfll-6A and Qflw-2B, were detected on 6A and 2B chromosomes in multiple environments and explain 8.33%-13.93%, 8.10%-8.18% and 9.14%-9.46% of total phenotypic variations in different environments, respectively. |
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