Elucidating the phenotypic basis of multi-environment stability for fiber yield and quality traits of cotton ( Gossypium hirsutum L.) using 498 recombinant inbred lines
文献类型: 外文期刊
作者: Elsamman, Elameer Y. 1 ; Ge, Qun 1 ; Wang, Xiaoyu 4 ; Lamlom, Sobhi F. 5 ; Gong, Juwu 1 ; Li, Junwen 1 ; Yan, Haoliang 1 ; Zhong, Yike 1 ; Bai, Bingnan 1 ; Qiao, Dan 1 ; Gong, Wankui 1 ; Yuan, Youlu 1 ; Abdelghany, Ahmed M. 6 ;
作者机构: 1.Chinese Acad Agr Sci, Inst Cotton Res, Natl Key Lab Cotton Biobreeding & Integrated Utili, Anyang 455000, Peoples R China
2.Cotton Res Inst, Agr Res Ctr, Cotton Breeding Dept, Giza 12619, Egypt
3.Zhengzhou Univ, Natl Key Lab Cotton Biobreeding & Integrated Utili, Zhengzhou Res Base, Zhengzhou 450001, Peoples R China
4.Shanxi Agr Univ, Inst Millet Res, Changzhi, Peoples R China
5.Alexandria Univ, Fac Agr Saba Basha, Plant Prod Dept, Alexandria 21531, Egypt
6.Damanhour Univ, Fac Agr, Crop Sci Dept, Damanhour 22516, Egypt
关键词: Cotton; MTSI; Fiber quality traits; RILs; Multi-trait phenotyping; Phenotypic stability
期刊名称:INDUSTRIAL CROPS AND PRODUCTS ( 影响因子:5.9; 五年影响因子:6.0 )
ISSN: 0926-6690
年卷期: 2024 年 215 卷
页码:
收录情况: SCI
摘要: Understanding genotype-environment interactions and trait relationships is pivotal for guiding breeding efforts aimed at stabilizing cotton varieties across diverse environments while boosting yield and fiber quality. The study aimed to assess genotypic variability and stability in 10 agronomic and fiber quality traits across four environments (Anyang in 2020 and 2021 and Weixian in 2020 and 2021) for three parental lines (ZR014121, CCRI60, and EZ60) and their corresponding 498 recombinant inbred lines (RILs) populations. The results indicated that the analysis of variance showed significant genotype and genotype-by-environment effects for all measured traits. Analysis of correlation revealed highly significant positive correlations between seed cotton yield and each of boll weight (r = 0.95), lint yield (r = 0.90), and between boll weight and lint yield (r = 0.90), while highly significant negative correlations were noticed between fiber maturity and fiber elongation (r = -0.52) and between fiber length and lint percentage (r = -0.38). Furthermore, the weighted average of absolute scores (WAASB) was calculated for each trait, revealing moderate to high stability for some yield traits and fiber quality parameters. Also, the multi-trait stability index (MTSI) applied to these RILs populations identified G13 as the most stable line (MTSI = 5.5) and S23 as the least stable (MTSI = 12.1). Selecting 25 RILs with the lowest MTSI values (5.5 -6.47) revealed elite stable lines with favorable trait values, providing a valuable genetic resource for developing high -performance cotton cultivars in diverse environments.
- 相关文献
作者其他论文 更多>>
-
The PAP Gene Family in Cotton: Impact of Genome-Wide Identification on Fiber Secondary Wall Synthesis
作者:Sun, Cong;Li, Weijie;Qi, Ruiqiang;Liu, Yangming;Wang, Xiaoyu;Gong, Juwu;Gong, Wankui;Pan, Jingtao;Li, Yang;Shi, Yuzhen;Yan, Haoliang;Shang, Haihong;Yuan, Youlu;Wang, Xiaoyu;Shang, Haihong
关键词:cotton; purple acid phosphatase (PAP); cotton fiber; expression analysis
-
Machine Learning-Driven Identification of Key Environmental Factors Influencing Fiber Yield and Quality Traits in Upland Cotton
作者:Souaibou, Mohamadou;Yan, Haoliang;Pan, Jingtao;Li, Yang;Shi, Yuzhen;Gong, Wankui;Shang, Haihong;Gong, Juwu;Yuan, Youlu;Yan, Haoliang;Pan, Jingtao;Li, Yang;Shi, Yuzhen;Shang, Haihong;Gong, Juwu;Yuan, Youlu;Dai, Panhong;Yuan, Youlu
关键词:cotton; machine learning; genotype environment interaction; SHAP interpretation; environmental factors
-
Coenzyme Q GhCoQ9 enhanced the salt resistance by preserving the homeostasis of mitochondrial in upland cotton
作者:Xu, Nan;Zhong, Yike;Chen, Zhuona;Zhang, Doudou;Han, Xu;Wei, Renhui;Wang, Panpan;Li, Xinru;Gong, Juwu;Li, Yang;Yan, Haoliang;Yuan, Youlu;Shang, Haihong;Xu, Nan;Zhong, Yike;Zhang, Yuanming;Yuan, Youlu;Shang, Haihong;Chen, Zhuona;Zhang, Doudou;Han, Xu;Wang, Panpan;Li, Xinru;Zhao, Yanpeng;Li, Gangling;Yang, Zheng;Yuan, Youlu;Shang, Haihong;Gao, Xu
关键词:Cotton; CoQ; GhCoQ9; Salt stress; Ultrastructure
-
Genome-Wide Identification and Classification of Arabinogalactan Proteins Gene Family in Gossypium Species and GhAGP50 Increases Numbers of Epidermal Hairs in Arabidopsis
作者:Wei, Renhui;Guo, Ziru;Yan, Haoliang;Pan, Jingtao;Liu, Aiying;Gong, Wankui;Ge, Qun;Gong, Juwu;Yuan, Youlu;Shang, Haihong;Yang, Zheng;Zhao, Yanpeng;Azhar, Muhammad Tehseen;Zhang, Yamin;Li, Gangling;Yuan, Youlu;Shang, Haihong;Azhar, Muhammad Tehseen
关键词:cotton; arabinogalactan protein; gene regulation; functional characterization
-
Identification of Quantitative Trait Loci for Node Number, Pod Number, and Seed Number in Soybean
作者:Zhang, Chunlei;Zha, Bire;Yuan, Rongqiang;Zhao, Kezhen;Liu, Xiulin;Wang, Xueyang;Zhang, Fengyi;Ren, Honglei;Zha, Bire;Sun, Jianqiang;Sun, Jianqiang;Qiu, Lijuan;Zhang, Bixian;Lamlom, Sobhi F.;Lamlom, Sobhi F.
关键词:soybean; differential expression analysis; SLAF sequencing; QTL mapping
-
Lactobacillus delbrueckii Alleviate Oxidative Stress and Intestinal Injuries by Activating TLR2 and TLR4 Expressions in IPEC-J2 Cells
作者:Chen, Fengming;Wu, Shu;Wang, Xiaoyu;He, Binsheng;Fu, Yafen;Huang, Xingguo;Chen, Jiayi;Chen, Fengming;Li, Yinghui;Huang, Xingguo;Wu, Shu
关键词:Oxidative stress; Lactobacillus delbrueckii; IPEC-J2; Intestinal injuries; TLRs
-
Soybean productivity can be enhanced by understanding rhizosphere microbiota: evidence from metagenomics analysis from diverse agroecosystems
作者:Ren, Honglei;Zha, Bire;Liu, Xiulin;Wang, Xueyang;Zhang, Chunlei;Zhang, Fengyi;Zhao, Kezhen;Yuan, Rongqiang;Wang, Jiajun;Hong, Huilong;Zha, Bire;Lamlom, Sobhi F.;Qiu, Hongmei;Zheng, Yuhong;Cao, Yongqiang;Sun, Rujian;Wang, Haorang;Ma, Junkui;Zhang, Hengbin;Sun, Liping;Yang, Qing;Zhou, Changjun;Abdelghany, Ahmed M.;Zhang, Bixian;Lu, Wencheng
关键词:Soybean (
Glycine max ); Rhizosphere microbiota; Metagenomic sequencing; Co-occurrence networks



