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Journal Abstract Search

268 related items for PubMed ID: 35570221

  • 1. Genome-wide association study reveals novel quantitative trait loci and candidate genes of lint percentage in upland cotton based on the CottonSNP80K array.
    Chen Y, Gao Y, Chen P, Zhou J, Zhang C, Song Z, Huo X, Du Z, Gong J, Zhao C, Wang S, Zhang J, Wang F, Zhang J.
    Theor Appl Genet; 2022 Jul; 135(7):2279-2295. PubMed ID: 35570221
    [Abstract] [Full Text] [Related]

  • 2. Lint percentage and boll weight QTLs in three excellent upland cotton (Gossypium hirsutum): ZR014121, CCRI60, and EZ60.
    Niu H, Kuang M, Huang L, Shang H, Yuan Y, Ge Q.
    BMC Plant Biol; 2023 Apr 05; 23(1):179. PubMed ID: 37020180
    [Abstract] [Full Text] [Related]

  • 3. Dissection of the genetic variation and candidate genes of lint percentage by a genome-wide association study in upland cotton.
    Song C, Li W, Pei X, Liu Y, Ren Z, He K, Zhang F, Sun K, Zhou X, Ma X, Yang D.
    Theor Appl Genet; 2019 Jul 05; 132(7):1991-2002. PubMed ID: 30982110
    [Abstract] [Full Text] [Related]

  • 4. Genome-wide association analysis reveals quantitative trait loci and candidate genes involved in yield components under multiple field environments in cotton (Gossypium hirsutum).
    Zhu G, Hou S, Song X, Wang X, Wang W, Chen Q, Guo W.
    BMC Plant Biol; 2021 May 31; 21(1):250. PubMed ID: 34059007
    [Abstract] [Full Text] [Related]

  • 5. An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton.
    Su J, Wang C, Ma Q, Zhang A, Shi C, Liu J, Zhang X, Yang D, Ma X.
    BMC Plant Biol; 2020 Sep 07; 20(1):416. PubMed ID: 32894064
    [Abstract] [Full Text] [Related]

  • 6. Genome-wide association reveals genetic variation of lint yield components under salty field conditions in cotton (Gossypium hirsutum L.).
    Zhu G, Gao W, Song X, Sun F, Hou S, Liu N, Huang Y, Zhang D, Ni Z, Chen Q, Guo W.
    BMC Plant Biol; 2020 Jan 14; 20(1):23. PubMed ID: 31937242
    [Abstract] [Full Text] [Related]

  • 7. Population structure and genetic basis of the agronomic traits of upland cotton in China revealed by a genome-wide association study using high-density SNPs.
    Huang C, Nie X, Shen C, You C, Li W, Zhao W, Zhang X, Lin Z.
    Plant Biotechnol J; 2017 Nov 14; 15(11):1374-1386. PubMed ID: 28301713
    [Abstract] [Full Text] [Related]

  • 8. High-density linkage map construction and QTL analyses for fiber quality, yield and morphological traits using CottonSNP63K array in upland cotton (Gossypium hirsutum L.).
    Zhang K, Kuraparthy V, Fang H, Zhu L, Sood S, Jones DC.
    BMC Genomics; 2019 Nov 21; 20(1):889. PubMed ID: 31771502
    [Abstract] [Full Text] [Related]

  • 9. Genome-wide association analysis reveals loci and candidate genes involved in fiber quality traits in sea island cotton (Gossypium barbadense).
    Su X, Zhu G, Song X, Xu H, Li W, Ning X, Chen Q, Guo W.
    BMC Plant Biol; 2020 Jun 22; 20(1):289. PubMed ID: 32571222
    [Abstract] [Full Text] [Related]

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  • 11. Genetic linkage analysis of stable QTLs in Gossypium hirsutum RIL population revealed function of GhCesA4 in fiber development.
    Liú R, Xiāo X, Gōng J, Lǐ J, Yán H, Gě Q, Lú Q, Lǐ P, Pān J, Shāng H, Shí Y, Chén Q, Yuán Y, Gǒng W.
    J Adv Res; 2024 Nov 22; 65():33-46. PubMed ID: 38065406
    [Abstract] [Full Text] [Related]

  • 12. Genetic variation of dynamic fiber elongation and developmental quantitative trait locus mapping of fiber length in upland cotton (Gossypium hirsutum L.).
    Ma J, Geng Y, Pei W, Wu M, Li X, Liu G, Li D, Ma Q, Zang X, Yu S, Zhang J, Yu J.
    BMC Genomics; 2018 Dec 06; 19(1):882. PubMed ID: 30522448
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  • 15. Detection of Favorable QTL Alleles and Candidate Genes for Lint Percentage by GWAS in Chinese Upland Cotton.
    Su J, Fan S, Li L, Wei H, Wang C, Wang H, Song M, Zhang C, Gu L, Zhao S, Mao G, Wang C, Pang C, Yu S.
    Front Plant Sci; 2016 Dec 06; 7():1576. PubMed ID: 27818672
    [Abstract] [Full Text] [Related]

  • 16. A genome-wide association study uncovers novel genomic regions and candidate genes of yield-related traits in upland cotton.
    Sun Z, Wang X, Liu Z, Gu Q, Zhang Y, Li Z, Ke H, Yang J, Wu J, Wu L, Zhang G, Zhang C, Ma Z.
    Theor Appl Genet; 2018 Nov 06; 131(11):2413-2425. PubMed ID: 30132023
    [Abstract] [Full Text] [Related]

  • 17. Enhancing Upland cotton for drought resilience, productivity, and fiber quality: comparative evaluation and genetic dissection.
    Ulloa M, De Santiago LM, Hulse-Kemp AM, Stelly DM, Burke JJ.
    Mol Genet Genomics; 2020 Jan 06; 295(1):155-176. PubMed ID: 31620883
    [Abstract] [Full Text] [Related]

  • 18. Mapping quantitative trait loci for lint yield and fiber quality across environments in a Gossypium hirsutum × Gossypium barbadense backcross inbred line population.
    Yu J, Zhang K, Li S, Yu S, Zhai H, Wu M, Li X, Fan S, Song M, Yang D, Li Y, Zhang J.
    Theor Appl Genet; 2013 Jan 06; 126(1):275-87. PubMed ID: 23064252
    [Abstract] [Full Text] [Related]

  • 19. Genetic Detection of Lint Percentage Applying Single-Locus and Multi-Locus Genome-Wide Association Studies in Chinese Early-Maturity Upland Cotton.
    Su J, Wang C, Hao F, Ma Q, Wang J, Li J, Ning X.
    Front Plant Sci; 2019 Jan 06; 10():964. PubMed ID: 31428110
    [Abstract] [Full Text] [Related]

  • 20. A high-density genetic map and multiple environmental tests reveal novel quantitative trait loci and candidate genes for fibre quality and yield in cotton.
    Gu Q, Ke H, Liu Z, Lv X, Sun Z, Zhang M, Chen L, Yang J, Zhang Y, Wu L, Li Z, Wu J, Wang G, Meng C, Zhang G, Wang X, Ma Z.
    Theor Appl Genet; 2020 Dec 06; 133(12):3395-3408. PubMed ID: 32894321
    [Abstract] [Full Text] [Related]

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