Genetic dissection of and genomic selection for seed weight, pod length, and pod width in soybean
文献类型: 外文期刊
作者: Chen, Yijie 1 ; Xiong, Yajun 1 ; Hong, Huilong 3 ; Li, Gang 1 ; Gao, Jie 1 ; Guo, Qingyuan 1 ; Sun, Rujian 6 ; Ren, Honglei 4 ; Zhang, Fan 2 ; Wang, Jun 1 ; Song, Jian 2 ; Qiu, Lijuan 1 ;
作者机构: 1.Yangtze Univ, Coll Agr, Jingzhou 434025, Hubei, Peoples R China
2.Yangtze Univ, Coll Life Sci, Jingzhou 434025, Hubei, Peoples R China
3.Chinese Acad Agr Sci, Inst Crop Sci, Natl Key Facil Gene Resources & Genet Improvement, Beijing 100081, Peoples R China
4.Heilongjiang Acad Agr Sci, Soybean Res Inst, Harbin 150086, Heilongjiang, Peoples R China
5.Minist Educ, Engn Res Ctr Ecol & Agr Use Wetland, Jingzhou 434025, Hubei, Peoples R China
6.Hulunbuir Inst Agr & Anim Husb, Hulunbuir 021000, Inner Mongolia, Peoples R China
关键词: Soybean; Seed weight; Pod size; Genetic analysis; Genomic selection
期刊名称:CROP JOURNAL ( 影响因子:6.6; 五年影响因子:6.5 )
ISSN: 2095-5421
年卷期: 2023 年 11 卷 3 期
页码:
收录情况: SCI
摘要: A biparental soybean population of 364 recombinant inbred lines (RILs) derived from Zhongdou 41 x ZYD 02.878 was used to identify quantitative trait loci (QTL) associated with hundred-seed weight (100-SW), pod length (PL), and pod width (PW). 100-SW, PL, and PW showed moderate correlations among one another, and 100-SW was correlated most strongly with PW (0.64-0.74). Respectively 74, 70, 75 and 19 QTL accounting for 38.7%-78.8% of total phenotypic variance were identified by inclusive composite interval mapping, restricted two-stage multi-locus genome-wide association analysis, 3 variance-component multi-locus random-SNP-effect mixed linear model analysis, and conditional genome-wide association analysis. Of these QTL, 189 were novel, and 24 were detected by multiple methods. Six loci were associated with 100-SW, PL, and PW and may be pleiotropic loci. A total of 284 candidate genes were identified in colocalizing QTL regions, including the verified gene Seed thickness 1 (ST1). Eleven genes with functions involved in pectin biosynthesis, phytohormone, ubiquitin-protein, and photosyn-thesis pathways were prioritized by examining single nucleotide polymorphism (SNP) variation, calculat-ing genetic differentiation index, and inquiring gene expression. The prediction accuracies of genomic selection (GS) for 100-SW, PL, and PW based on single trait-associated markers reached 0.82, 0.76, and 0.86 respectively, but selection index (SI)-assisted GS strategy did not increase GS efficiency and inclusion of trait-associated markers as fixed effects reduced prediction accuracy. These results shed light on the genetic basis of 100-SW, PL, and PW and provide GS models for these traits with potential application in breeding programs.& COPY; 2022 Crop Science Society of China and Institute of Crop Science, CAAS. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
- 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
-
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
-
Synergistic effects of foliar applied glycine betaine and proline in enhancing rice yield and stress resilience under salinity conditions
作者:Lamlom, Sobhi F.;Lamlom, Sobhi F.;El-Banna, Aly A. A.;El-Sorady, Gawhara A.;Ren, Honglei;El-Yamany, Bassant A. M.;Salama, Ehab A. A.;Kamara, Mohamed M.;AlGarawi, Amal Mohamed;Hatamleh, Ashraf Atef;Shehab, Abdelsalam A.;Abdelghany, Ahmed M.
关键词:Rice (Oryza sativa L.); Salt stress; Path analysis; Clustering heatmap; Climate change
-
Comprehensively characterize the soybean CAM/CML gene family, as it provides resistance against both the soybean mosaic virus and Cercospora sojina pathogens
作者:Zhang, Chunlei;Wang, Yanbo;Zhang, Ruiping;Yuan, Rongqiang;Zhao, Kezhen;Liu, Xiulin;Wang, Xueyang;Zhang, Fengyi;Lamlom, Sobhi F.;Ren, Honglei;Wang, Yanbo;Lamlom, Sobhi F.;Zhang, Bixian
关键词:soybean mosaic virus (SMV);
C. sojina ; soybean; CAM/CML genes; disease resistance -
Soybean yield estimation and lodging discrimination based on lightweight UAV and point cloud deep learning
作者:Zhou, Longyu;Feng, Puyu;Ma, Yuntao;Han, Dezhi;Yan, Xiaofei;Jia, Hongchang;Sun, Guangyao;Liu, Yaling;Yan, Long;Li, Yinghui;Qiu, Lijuan
关键词:Remote sensing; 3D reconstruction; Point cloud; Multi-task learning; Digital image
-
Genome-Wide Association Study Reveals Key Genetic Loci Controlling Oil Content in Soybean Seeds
作者:Wang, Xueyang;Zhang, Min;Liu, Xiulin;Zhang, Chunlei;Zhang, Fengyi;Zhao, Kezhen;Yuan, Rongqiang;Lamlom, Sobhi F.;Ren, Honglei;Zhang, Min;Li, Fuxin;Qiu, Hongmei;Lamlom, Sobhi F.;Zhang, Bixian
关键词:soybean; oil content; genome-wide association study (GWAS); single-nucleotide polymorphism (SNP); Northern China



