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Identification of novel QTL for leaf traits in soybean.

机译:鉴定大豆叶片性状的新QTL。

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摘要

Several leaf traits of soybean (Glycine max L. Merr.), including leaf area (LA), leaf shape (LS) and specific leaf weight (SLW) may be related to soybean yield. The objective of this study was to identify novel quantitative trait loci (QTL) for LA, LS and SLW in a recombinant inbred line (RIL) population. The phenotype data were collected in 2011 and 2012 for 93 F7:10 RILs using a randomized complete block design with 2 replicates each year. Five hundred and sixteen single-nucleotide polymorphism (SNP) markers and the phenotype data were used to detect QTL using single marker analysis (SMA) and composite interval mapping (CIM). Single markers analysis identified 26 QTL for the three traits, of which 17 were novel and the rests were previously reported QTL. Most of these QTL were also identified by CIM. Most QTL reported in this study were in close proximity (<1 cM) of one or more SNP markers. These publicly available SNP markers with close linkage to LA, LS and SLW should be useful for marker-assisted breeding for these traits.
机译:大豆的几种叶片性状(Glycine max L. Merr。),包括叶面积(LA),叶形(LS)和比叶重(SLW)可能与大豆产量有关。这项研究的目的是为重组近交系(RIL)群体鉴定LA,LS和SLW的新型定量性状基因座(QTL)。采用随机完整区组设计,于2011年和2012年收集了93个F 7:10 RIL的表型数据,每年进行两次重复实验。使用单标记分析(SMA)和复合区间作图(CIM),使用516个单核苷酸多态性(SNP)标记和表型数据来检测QTL。单标记分析确定了这三个性状的26个QTL,其中17个是新颖的,其余是先前报道的QTL。这些QTL大部分也由CIM识别。这项研究中报告的大多数QTL与一种或多种SNP标记非常接近(<1 cM)。这些与LA,LS和SLW紧密联系的可公开获得的SNP标记对于这些性状的标记辅助育种应该是有用的。

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