文献类型： 外文期刊

作者： Zhi, Hui ¹ ; He, Qiang ¹ ; Tang, Sha ¹ ; Yang, Junjun ¹ ; Zhang, Wei ¹ ; Liu, Huifang ¹ ; Jia, Yanchao ¹ ; Jia, Guanqing ¹ ; Zhang, Aiying ² ; Li, Yuhui ² ; Guo, Erhu ² ; Gao, Ming ³ ; Li, Shujie ³ ; Li, Junxia ⁴ ; Qin, Na ⁴ ; Zhu, Cancan ⁴ ; Ma, Chunye ⁴ ; Zhang, Haijin ⁵ ; Chen, Guoqiu ⁵ ; Zhang, Wenfei ⁵ ; Wang, Haigang ⁶ ; Qiao, Zhijun ⁶ ; Li, Shunguo ⁷ ; Cheng, Ruhong ⁷ ; Xing, Lu ⁸ ; Wang, Suying ⁸ ; Liu, Jinrong ⁸ ; Liu, Jun ¹ ; Diao, Xianmin ¹ ;

作者机构： 1.Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100081, Peoples R China

2.Shanxi Agr Univ, Inst Millet Crops, Changzhi 046000, Shanxi, Peoples R China

3.Jilin Acad Agr Sci, Inst Crop Sci, Gongzhuling 136100, Jilin, Peoples R China

4.Henan Acad Agr Sci, Cereal Crops Inst, Zhengzhou 450002, Peoples R China

5.Liaoning Acad Agr Sci, Inst Dry Land Agr & Forestry, Chaoyang 122000, Liaoning, Peoples R China

6.Shanxi Agr Univ, Ctr Agr Genet Resources Res, Taiyuan 030031, Shanxi, Peoples R China

7.Hebei Acad Agr & Forestry Sci, Inst Millet Crops, Shijiazhuang 050035, Hebei, Peoples R China

8.Anyang Acad Agr Sci, Anyang 455000, Henan, Peoples R China

期刊名称：THEORETICAL AND APPLIED GENETICS （ 影响因子：5.699； 五年影响因子：5.565 ）

ISSN： 0040-5752

年卷期： 2021 年 134 卷 9 期

页码：

收录情况： SCI

摘要： Key message Multi-environment QTL mapping identified 23 stable loci and 34 co-located QTL clusters for panicle architecture and grain yield-related traits, which provide a genetic basis for foxtail millet yield improvement. Panicle architecture and grain weight, both of which are influenced by genetic and environmental factors, have significant effects on grain yield potential. Here, we used a recombinant inbred line (RIL) population of 333 lines of foxtail millet, which were grown in 13 trials with varying environmental conditions, to identify quantitative trait loci (QTL) controlling nine agronomic traits related to panicle architecture and grain yield. We found that panicle weight, grain weight per panicle, panicle length, panicle diameter, and panicle exsertion length varied across different geographical locations. QTL mapping revealed 159 QTL for nine traits. Of the 159 QTL, 34 were identified in 2 to 12 environments, suggesting that the genetic control of panicle architecture in foxtail millet is sensitive to photoperiod and/or other environmental factors. Eighty-eight QTL controlling different traits formed 34 co-located QTL clusters, including the triple QTL cluster qPD9.2/qPL9.5/qPEL9.3, which was detected 23 times in 13 environments. Several candidate genes, including Seita.2G388700, Seita.3G136000, Seita.4G185300, Seita.5G241500, Seita.5G243100, Seita.9G281300, and Seita.9G342700, were identified in the genomic intervals of multi-environmental QTL or co-located QTL clusters. Using available phenotypic and genotype data, we conducted haplotype analysis for Seita.2G002300 and Seita.9G064000,which showed high correlations with panicle weight and panicle exsertion length, respectively. These results not only provided a basis for further fine mapping, functional studies and marker-assisted selection of traits related to panicle architecture in foxtail millet, but also provide information for comparative genomics analyses of cereal crops.