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186 related items for PubMed ID: 35955713

  • 1. Insights into the Genomic Regions and Candidate Genes of Senescence-Related Traits in Upland Cotton via GWAS.
    Liu Q, Feng Z, Huang C, Wen J, Li L, Yu S.
    Int J Mol Sci; 2022 Aug 02; 23(15):. PubMed ID: 35955713
    [Abstract] [Full Text] [Related]

  • 2. Uncovering Novel Genomic Regions and Candidate Genes for Senescence-Related Traits by Genome-Wide Association Studies in Upland Cotton (Gossypium hirsutum L.).
    Liu Q, Li L, Feng Z, Yu S.
    Front Plant Sci; 2021 Aug 02; 12():809522. PubMed ID: 35069667
    [Abstract] [Full Text] [Related]

  • 3. Analysis of Drought Tolerance and Associated Traits in Upland Cotton at the Seedling Stage.
    Li HM, Liu SD, Ge CW, Zhang XM, Zhang SP, Chen J, Shen Q, Ju FY, Yang YF, Li Y, Liu RH, Ma HJ, Zhao XH, Li CD, Pang CY.
    Int J Mol Sci; 2019 Aug 09; 20(16):. PubMed ID: 31404956
    [Abstract] [Full Text] [Related]

  • 4. Genome-wide association study identified genetic variations and candidate genes for plant architecture component traits in Chinese upland cotton.
    Su J, Li L, Zhang C, Wang C, Gu L, Wang H, Wei H, Liu Q, Huang L, Yu S.
    Theor Appl Genet; 2018 Jun 09; 131(6):1299-1314. PubMed ID: 29497767
    [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. Identification of favorable SNP alleles and candidate genes for traits related to early maturity via GWAS in upland cotton.
    Su J, Pang C, Wei H, Li L, Liang B, Wang C, Song M, Wang H, Zhao S, Jia X, Mao G, Huang L, Geng D, Wang C, Fan S, Yu S.
    BMC Genomics; 2016 Aug 30; 17(1):687. PubMed ID: 27576450
    [Abstract] [Full Text] [Related]

  • 7. 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]

  • 8. Genomic analyses reveal the genetic basis of early maturity and identification of loci and candidate genes in upland cotton (Gossypium hirsutum L.).
    Li L, Zhang C, Huang J, Liu Q, Wei H, Wang H, Liu G, Gu L, Yu S.
    Plant Biotechnol J; 2021 Jan 22; 19(1):109-123. PubMed ID: 32652678
    [Abstract] [Full Text] [Related]

  • 9. Integrating RTM-GWAS and meta‑QTL data revealed genomic regions and candidate genes associated with the first fruit branch node and its height in upland cotton.
    Su J, Li D, Yuan W, Li Y, Ju J, Wang N, Ling P, Feng K, Wang C.
    Theor Appl Genet; 2024 Aug 22; 137(9):207. PubMed ID: 39172262
    [Abstract] [Full Text] [Related]

  • 10. 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 22; 15(11):1374-1386. PubMed ID: 28301713
    [Abstract] [Full Text] [Related]

  • 11. Quantitative trait loci and candidate genes for yield-related traits of upland cotton revealed by genome-wide association analysis under drought conditions.
    Sun F, Yang Y, Wang P, Ma J, Du X.
    BMC Genomics; 2023 Sep 07; 24(1):531. PubMed ID: 37679709
    [Abstract] [Full Text] [Related]

  • 12. Genome-wide association study identifies GhSAL1 affects cold tolerance at the seedling emergence stage in upland cotton (Gossypium hirsutum L.).
    Shen Q, Zhang S, Ge C, Liu S, Chen J, Liu R, Ma H, Song M, Pang C.
    Theor Appl Genet; 2023 Feb 21; 136(2):27. PubMed ID: 36810826
    [Abstract] [Full Text] [Related]

  • 13. 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 21; 131(11):2413-2425. PubMed ID: 30132023
    [Abstract] [Full Text] [Related]

  • 14. 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 21; 135(7):2279-2295. PubMed ID: 35570221
    [Abstract] [Full Text] [Related]

  • 15. 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]

  • 16. Genome-wide association analysis reveals genetic variations and candidate genes associated with salt tolerance related traits in Gossypium hirsutum.
    Xu P, Guo Q, Meng S, Zhang X, Xu Z, Guo W, Shen X.
    BMC Genomics; 2021 Jan 06; 22(1):26. PubMed ID: 33407102
    [Abstract] [Full Text] [Related]

  • 17. GWAS reveals consistent QTL for drought and salt tolerance in a MAGIC population of 550 lines derived from intermating of 11 Upland cotton (Gossypium hirsutum) parents.
    Abdelraheem A, Thyssen GN, Fang DD, Jenkins JN, McCarty JC, Wedegaertner T, Zhang J.
    Mol Genet Genomics; 2021 Jan 06; 296(1):119-129. PubMed ID: 33051724
    [Abstract] [Full Text] [Related]

  • 18. Phenomics-based GWAS analysis reveals the genetic architecture for drought resistance in cotton.
    Li B, Chen L, Sun W, Wu D, Wang M, Yu Y, Chen G, Yang W, Lin Z, Zhang X, Duan L, Yang X.
    Plant Biotechnol J; 2020 Dec 06; 18(12):2533-2544. PubMed ID: 32558152
    [Abstract] [Full Text] [Related]

  • 19. Genome-wide association study discovered candidate genes of Verticillium wilt resistance in upland cotton (Gossypium hirsutum L.).
    Li T, Ma X, Li N, Zhou L, Liu Z, Han H, Gui Y, Bao Y, Chen J, Dai X.
    Plant Biotechnol J; 2017 Dec 06; 15(12):1520-1532. PubMed ID: 28371164
    [Abstract] [Full Text] [Related]

  • 20. QTL analysis and candidate gene identification for plant height in cotton based on an interspecific backcross inbred line population of Gossypium hirsutum × Gossypium barbadense.
    Ma J, Pei W, Ma Q, Geng Y, Liu G, Liu J, Cui Y, Zhang X, Wu M, Li X, Li D, Zang X, Song J, Tang S, Zhang J, Yu S, Yu J.
    Theor Appl Genet; 2019 Sep 06; 132(9):2663-2676. PubMed ID: 31236630
    [Abstract] [Full Text] [Related]

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