Genome mapping and molecular markers identification for yield, yield component and fibre quality traits in tetraploid cotton

被引:2
|
作者
Ramesh, U. M. [1 ]
Methre, Ramesh [2 ]
Kumar, N. V. M. [3 ]
Katageri, Ishwarappa S. [3 ]
Gowda, S. Anjan [4 ]
Adiger, Sateesh [5 ]
Yadava, Satish Kumar [6 ]
Lachagari, Vijay B. R. [7 ]
机构
[1] Univ Agr Sci, Coll Agr, Dept Biotechnol, Dharwad, Karnataka, India
[2] Bheemarayangudi Univ Agr Sci, Coll Agr, Raichur, India
[3] Vijayapura Univ Agr Sci, Reg Agr Res Stn, Dharwad, Karnataka, India
[4] Univ Agr Sci, Dept Genet & Plant Breeding, Dharwad, Karnataka, India
[5] Univ Agr Sci, Dept Biotechnol, Dharwad, Karnataka, India
[6] Univ Delhi, Ctr Genet Manipulat Crop Plants, New Delhi, India
[7] AgriGenome Labs Pvt Ltd, Hyderabad, India
关键词
63k SNP chip; genetic map; marker-assisted selection; QTL; recombinant inbred lines; GOSSYPIUM-BARBADENSE COTTON; BACKCROSS-SELF APPROACH; GENETIC-MAP; INTERSPECIFIC POPULATIONS; QTL ANALYSIS; HIRSUTUM L; SEQUENCE; INTROGRESSION; CONSTRUCTION; ORGANIZATION;
D O I
10.1111/pbr.12728
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The identification of quantitative trait loci (QTL) across different environments is a prerequisite for marker-assisted selection (MAS) in crop improvement programmes. CottonSNP63k Illumina infinium array was used for genotyping 178 inter-specific recombinant inbred lines and the parents, and identified 1,667 homozygous polymorphic markers between the parents. Of these, 1,430 markers were used for the construction of linkage map after removing 237 redundant markers. The genetic map spans a total genetic length of 3,149.8 cM with an average marker interval size of 2.2 cM. The phenotypic data from five environments were analysed separately using inclusive composite interval mapping which identified a total of 56 QTL explaining phenotypic variances (PVE) in the range of 8.18%-28.91%. There were 11 and 24 major QTL found for fibre quality and yield components, respectively. A total of 64 QTL were identified through Multi-Environment Trials analysis, of which 34 recorded QTL x Environment interactions.
引用
收藏
页码:880 / 896
页数:17
相关论文
共 50 条
  • [21] Breeding for high yield and fibre quality in coloured cotton
    Dutt, Y
    Wang, XD
    Zhu, YG
    Li, YY
    PLANT BREEDING, 2004, 123 (02) : 145 - 151
  • [22] Effect of alien cytoplasmic and nuclear genes on seed cotton yield and fibre quality traits in cotton (Gossypium hirsutum)
    Tuteja, O. P.
    Verma, S. K.
    INDIAN JOURNAL OF AGRICULTURAL SCIENCES, 2011, 81 (04): : 314 - 320
  • [23] QTL mapping of yield, agronomic and quality traits in tetraploid potato (Solanum tuberosum subsp. tuberosum)
    John E. Bradshaw
    Christine A. Hackett
    Barnaly Pande
    Robbie Waugh
    Glenn J. Bryan
    Theoretical and Applied Genetics, 2008, 116 : 193 - 211
  • [24] Association mapping for yield and yield-contributing traits in barley under drought conditions with genome-based SSR markers
    Abou-Elwafa, Salah Fatouh
    COMPTES RENDUS BIOLOGIES, 2016, 339 (5-6) : 153 - 162
  • [25] QTL Mapping and Identification of QTLs Linked to Yield and Yield Attributing Traits in Chickpea
    Jingade P.
    Ravikumar R.L.
    Proceedings of the National Academy of Sciences, India Section B: Biological Sciences, 2019, 89 (3) : 815 - 821
  • [26] Genotype x environment interaction and phenotypic stability for seed cotton yield and fibre quality traits in Bt cotton hybrids
    Rajakumar
    Nidagundi, J. M.
    Konda, C. R.
    Ajayakumar, M. Y.
    Lokesha, R.
    RESEARCH ON CROPS, 2012, 13 (02) : 711 - 714
  • [27] Genome-wide association mapping of yield components and drought tolerance-related traits in cotton
    Asena Akkose Baytar
    Ceng Peynircioğlu
    Volkan Sezener
    Hüseyin Basal
    Anne Frary
    Amy Frary
    Sami Doğanlar
    Molecular Breeding, 2018, 38
  • [28] Genome-wide association mapping of yield components and drought tolerance-related traits in cotton
    Baytar, Asena Akkose
    Peynircioglu, Ceng
    Sezener, Volkan
    Basal, Huseyin
    Frary, Anne
    Frary, Amy
    Doganlar, Sami
    MOLECULAR BREEDING, 2018, 38 (06)
  • [29] Identification of quantitative trait loci for fiber quality, yield, and plant height traits in Upland cotton
    Shrestha, Navin
    Zhang, Kuang
    Gowda, S. Anjan
    Abdelraheem, Abdelraheem
    Jones, Don C.
    Kuraparthy, Vasu
    CROP SCIENCE, 2023, 63 (03) : 1421 - 1441
  • [30] Molecular Markers in Improvement of Fiber Quality Traits in Cotton
    RAVEENDRAN T S
    PREETHA S
    RAJESWARI S
    棉花学报, 2008, (S1) : 65 - 65