Genetic analysis of leaf morphology underlying the plant density response by QTL mapping in maize (Zea mays L.)

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作者
Lixia Ku
Zhenzhen Ren
Xiao Chen
Yong Shi
Jianshuang Qi
Huihui Su
Zhiyong Wang
Guohui Li
Xiaobo Wang
Yuguang Zhu
Jinlong Zhou
Xin Zhang
Yanhui Chen
机构
[1] Henan Agricultural University,College of Agronomy, Synergetic Innovation Center of Henan Grain Crops and National Key Laboratory of Wheat and Maize Crop Science
[2] Henan Province Seed Control Station,Research Institute of Food Crops
[3] Henan Academy of Agricultural Science,undefined
来源
Molecular Breeding | 2016年 / 36卷
关键词
Maize; RIL populations; Leaf morphology; QTL mapping;
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中图分类号
学科分类号
摘要
Maize yield increase has been strongly linked to plant population densities over time with changes in plant architecture, but the genetic basis for the plant architecture response to plant density is unknown, as is its stability across environments. To elucidate the genetic basis of the plant architecture response to density in maize, we mapped quantitative trait loci (QTLs) for leaf morphology-related traits in four sets of recombinant inbred line (RIL) populations under two plant density conditions. Forty-five QTLs for six traits were detected in both high and low plant density conditions. Thirty-seven QTLs were only detected when grown under high plant density, and 34 QTLs were only detected when grown under low plant density. Twenty-two meta-QTLs (mQTLs) were identified by meta-analysis, and mQTL1-1, mQTL3-2 and mQTL8 were identified when grown under high and low plant densities, with R2 of some initial QTLs > 10 %, suggesting the mQTLs might be hot spots of the important QTLs for the related traits under planting density stress conditions. The results presented here provide useful information for further research and the marker-assisted selection of varieties targeting increased plant density and will help to reveal the molecular mechanisms related to leaf morphology in response to density.
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