Literature DB >> 12148276

[Tagging and mapping of QTLs controlling lint yield and yield components in upland cotton (Gossypium hirsutum L.) using SSR and RAPD markers].

Jian-Mei Yin1, Yao-Ting Wu, Jun Zhang, Tian-Zhen Zhang, Wang-Zhen Guo, Xie-Fei Zhu.   

Abstract

Using interval mapping and marker simple regression methods, the QTLs of yield and its components in (Simian 3 x TM-1) F2 and F2:3, were tagged and Mapped with 39 SSR and 10 RAPD markers having polymorphism between parents screened from 301 pair SSR primers and 1040 RAPD primers. Simian 3 is being grown extensively in Yangtze River cotton-growing valley characterized as high productivity with more bolls and higher lint percent, whereas TM-1, Genetic standard in Upland cotton with more heavy boll weight. In the present report, two QTLs controlling boll size with 18.2% and 21.0% phenotype variance explained in F2:3 generation, one QTL controlling lint percent with 24.9% phenotype variance explained in F2 generation and 5.9% in F2:3 generation and one QTL controlling 100-seed weight with 15.6% phenotype variance explained in F2:3 generation were mapped in Chromosome 9. Additionally, another QTL responsible for 100-seed weight was identified and mapped at the same position in Chromosome 9 in F2:3 generation. It is worth for further to be studied whether it is one QTL for pleiotrophism or two closely linked QTLs. The molecular markers mapped and tagged closely with main QTLs of yield traits in this paper can be used for MAS in cotton high-yield breeding program.

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Year:  2002        PMID: 12148276

Source DB:  PubMed          Journal:  Sheng Wu Gong Cheng Xue Bao        ISSN: 1000-3061


  7 in total

1.  Using three overlapped RILs to dissect genetically clustered QTL for fiber strength on Chro.D8 in Upland cotton.

Authors:  Hong Chen; Neng Qian; Wangzhen Guo; Qingping Song; Baocheng Li; Fujun Deng; Cunguang Dong; Tianzhen Zhang
Journal:  Theor Appl Genet       Date:  2009-06-03       Impact factor: 5.699

2.  Detection of favorable alleles for yield and yield components by association mapping in upland cotton.

Authors:  Chengguang Dong; Juan Wang; Quanjia Chen; Yu Yu; Baocheng Li
Journal:  Genes Genomics       Date:  2018-03-23       Impact factor: 1.839

3.  Cotton QTLdb: a cotton QTL database for QTL analysis, visualization, and comparison between Gossypium hirsutum and G. hirsutum × G. barbadense populations.

Authors:  Joseph I Said; Joseph A Knapka; Mingzhou Song; Jinfa Zhang
Journal:  Mol Genet Genomics       Date:  2015-03-11       Impact factor: 3.291

4.  Quantitative trait loci mapping and genetic dissection for lint percentage in upland cotton (Gossypium hirsutum).

Authors:  Min Wang; Chengqi Li; Qinglian Wang
Journal:  J Genet       Date:  2014-08       Impact factor: 1.166

5.  A comparative meta-analysis of QTL between intraspecific Gossypium hirsutum and interspecific G. hirsutum × G. barbadense populations.

Authors:  Joseph I Said; Mingzhou Song; Hantao Wang; Zhongxu Lin; Xianlong Zhang; David D Fang; Jinfa Zhang
Journal:  Mol Genet Genomics       Date:  2014-12-12       Impact factor: 3.291

6.  Detection of Stable Elite Haplotypes and Potential Candidate Genes of Boll Weight Across Multiple Environments via GWAS in Upland Cotton.

Authors:  Zhen Feng; Libei Li; Minqiang Tang; Qibao Liu; Zihan Ji; Dongli Sun; Guodong Liu; Shuqi Zhao; Chenjue Huang; Yanan Zhang; Guizhi Zhang; Shuxun Yu
Journal:  Front Plant Sci       Date:  2022-06-13       Impact factor: 6.627

Review 7.  Inheritance, QTLs, and Candidate Genes of Lint Percentage in Upland Cotton.

Authors:  Hao Niu; Qun Ge; Haihong Shang; Youlu Yuan
Journal:  Front Genet       Date:  2022-03-31       Impact factor: 4.772

  7 in total

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