文献类型: 外文期刊
作者: Gao, Huihui 1 ; Gu, Yue 3 ; Jiang, Hongwei 3 ; Li, Yingying 3 ; Xin, Dawei 3 ; Liu, Chunyan 3 ; Zhu, Rongsheng 3 ; Qi, Zh 1 ;
作者机构: 1.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Northeast Agr Univ, Coll Agr, Harbin 150030, Heilongjiang, Peoples R China
4.Jilin Acad Agr Sci, Soybean Res Inst, Changchun, Jilin, Peoples R China
5.HeiLongJiang Acad Agr Sci, Keshan Branch Inst, Keshan, Heilongjiang, Peoples R China
6.HeiLongJiang Acad Agr Sci, JiaMuSi Branch Inst, Jiamusi, Heilongjiang, Peoples R China
7.Heilongjiang Acad Agr Sci, Suihua Branch, Suihua, Heilongjiang, Peoples R China
关键词: candidate genes; consensus QTLs; meta and overview analysis; seed length; seed width; soybean
期刊名称:PLANT BREEDING ( 影响因子:1.832; 五年影响因子:1.956 )
ISSN: 0179-9541
年卷期:
页码:
收录情况: SCI
摘要: Both seed length and seed width are important traits for soybean yield. In the present study, 89 Quantitative trait loci (QTLs) of seed length and 65 QTLs of seed width were collected from published papers and our study. QTLs in this study were evaluated by the soymap2, then totally 23 consensus QTLs were located on 17 linkage groups (LGs) through the meta-analysis. The minimum confidence interval was 0.28 cM and the mean phenotypic variance (R-2) was ranged from 5.33% to 23.36%. To optimize these QTLs based on statistic analysis, overview method was further used to narrow down CI, the number of QTLs was narrowed down to 84. Furthermore, 2,750 candidate genes were screened from the consensus QTL intervals by informatics, a total of 37 genes were found to be associated with seed size. All results could lay a foundation for MAS (Molecular Assisted Selection) and gene cloning.
- 相关文献
作者其他论文 更多>>
-
A comparison of Chinese soybean collection with European soybean collections on genetic diversity by genome-wide scan
作者:Xu, Jiangyuan;Lu, Yuqing;Gu, Yongzhe;Gao, Huawei;Liu, Zhangxiong;Qiu, Lijuan;Yao, Xindong;Yao, Xindong;Leopold, Rittler;Yuan, Ming;Zhang, Yong;Sun, Rujian;Xue, Yongguo;Liu, Yeli;Han, Dezhi;Wang, Jinxing;Qiu, Lijuan
关键词:Chinese soybean; European soybean; Genetic diversity; Selective sweep analysis; Selected region
-
Genome-Wide Identification of GmPIF Family and Regulatory Pathway Analysis of GmPIF3g in Different Temperature Environments
作者:Liang, Xuefeng;Zhao, Caitong;Cui, Jiayang;Chen, Qingshan;Yang, Mingliang;Jiang, Zhenfeng;Liu, Zhihua;Han, Dezhi
关键词:soybean; PIF; bioinformatics analysis; biofilm interference; interacting protein
-
Comparative Metabolomics Analysis of Seed Composition Accumulation in Soybean (Glycine max L.) Differing in Protein and Oil Content
作者:Cui, Yifan;Wang, Zhiyang;Li, Mingyang;Wang, Sihui;Liu, Chunyan;Xin, Dawei;Qi, Zhaoming;Chen, Qingshan;Yang, Mingliang;Zhao, Ying;Li, Xin
关键词:metabolomics; seed oil; seed protein; soybean (Glycine max (Linn.) Merr.)
-
Soybean yield estimation and lodging classification based on UAV multi-source data and self-supervised contrastive learning
作者:Zhou, Longyu;Chen, Haochong;Feng, Puyu;Ma, Yuntao;Zhang, Yong;Wang, Lei;Li, Mingxue;Sun, Xuhong;Sun, Guangyao;Yan, Long;Qiu, Lijuan;Li, Yinghui
关键词:Remote sensing; 3D reconstruction; Point cloud; Multispectral; Structure from motion
-
Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning
作者:Sun, Guangyao;Han, Shiteng;Xu, Yun;Ma, Yuntao;Zhang, Yong;Wang, Lei;Zhou, Longyu;Fei, Shuaipeng;Xiao, Shunfu;Ma, Yuntao;Yan, Long;Che, Yingpu;Li, Yinghui;Qiu, Lijuan
关键词:Unmanned Aerial Vehicle; Deep Learning; Resnet; Soybean Yield and Lodging Prediction
-
Lactylome Profiling Reveals the Potential Role of Lysine Lactylation in Regulating Soybean Seed Quality
作者:Xu, Chang;Li, Jun;Dong, Chang;Zhang, Yu;Li, Hui;Li, Tianshu;Han, Xue;Yang, Mingliang;Chen, Qingshan;Qi, Zhaoming;Song, Zhen;Zhang, Mingming;Li, Candong
关键词:lysine lactylation; soybean; seedoil content; seed protein content; metabolism pathways
-
Soybean Lodging Classification and Yield Prediction Using Multimodal UAV Data Fusion and Deep Learning
作者:Xu, Xingmei;Fang, Yushi;Yu, Helong;Ma, Yuntao;Sun, Guangyao;Guo, Yan;Ma, Yuntao;Zhang, Yong;Wang, Lei;Chen, Chen;Ren, Lisuo;Meng, Lei;Li, Yinghui;Qiu, Lijuan
关键词:UAV; deep learning; lodging classification; yield; data fusion



