Dissection of the genetic architecture for grain quality‐related traits in three RIL populations of maize (Zea mays L.) |
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| Authors: | Zhiyong Wang Na Liu Lixia Ku Zhiqiang Tian Yong Shi Shulei Guo Huihui Su Liangkun Zhang Zhenzhen Ren Guohui Li Xiaobo Wang Yuguang Zhu Jianshuang Qi Xin Zhang Yanhui Chen |
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| Institution: | 1. College of Agronomy, Synergetic Innovation Center of Henan Grain Crops and National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, China;2. College of Biological Engineering, Henan University of Technology, Zhengzhou, China;3. Research Institute of Food Crops, Henan Academy of Agricultural Science, Zhengzhou, Henan, China |
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| Abstract: | To manipulate the composition of the maize kernel to meet future needs, an understanding of the molecular regulation of kernel quality‐related traits is required. In this study, the quantitative trait loci (QTL) for the concentrations of grain protein, starch and oil were identified using three sets of RIL populations in three environments. The genetic maps and the initial QTL were integrated using meta‐analyses. A total of 38 QTL were identified, including 15 in population 1, 12 in population 2 and 11 in population 3. The individual effects ranged from 2.87% to 13.11% of the phenotypic variation, with seven QTL each contributing over 10%. One common QTL was found for the concentrations of grain protein and starch in bin 3.09 in the three environments and the three RIL populations. Of the 38 initial QTL, 22 were integrated into eight mQTL by meta‐analysis. mQTL3 and mQTL8 of the key mQTL in which the initial QTL displayed R2 > 10% included six and three initial QTL for grain protein and starch concentrations from two or three populations, respectively. These results will provide useful information for marker‐assisted selection to improve the quality of the maize kernel. |
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| Keywords: | grain quality‐related traits maize QTL mapping RIL population |
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