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Journal Abstract Search

335 related items for PubMed ID: 32854609

  • 21. 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; 295(1):155-176. PubMed ID: 31620883
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  • 24. 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
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  • 25. 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 05; 65():33-46. PubMed ID: 38065406
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  • 29. Examining two sets of introgression lines across multiple environments reveals background-independent and stably expressed quantitative trait loci of fiber quality in cotton.
    Shi Y, Liu A, Li J, Zhang J, Li S, Zhang J, Ma L, He R, Song W, Guo L, Lu Q, Xiang X, Gong W, Gong J, Ge Q, Shang H, Deng X, Pan J, Yuan Y.
    Theor Appl Genet; 2020 Jul 05; 133(7):2075-2093. PubMed ID: 32185421
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  • 31. Genome-wide quantitative trait loci reveal the genetic basis of cotton fibre quality and yield-related traits in a Gossypium hirsutum recombinant inbred line population.
    Zhang Z, Li J, Jamshed M, Shi Y, Liu A, Gong J, Wang S, Zhang J, Sun F, Jia F, Ge Q, Fan L, Zhang Z, Pan J, Fan S, Wang Y, Lu Q, Liu R, Deng X, Zou X, Jiang X, Liu P, Li P, Iqbal MS, Zhang C, Zou J, Chen H, Tian Q, Jia X, Wang B, Ai N, Feng G, Wang Y, Hong M, Li S, Lian W, Wu B, Hua J, Zhang C, Huang J, Xu A, Shang H, Gong W, Yuan Y.
    Plant Biotechnol J; 2020 Jan 05; 18(1):239-253. PubMed ID: 31199554
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  • 32. Genome-wide association mapping for agronomic traits in an 8-way Upland cotton MAGIC population by SLAF-seq.
    Huang C, Shen C, Wen T, Gao B, Zhu D, Li D, Lin Z.
    Theor Appl Genet; 2021 Aug 05; 134(8):2459-2468. PubMed ID: 33912997
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  • 34. High Resolution Consensus Mapping of Quantitative Trait Loci for Fiber Strength, Length and Micronaire on Chromosome 25 of the Upland Cotton (Gossypium hirsutum L.).
    Zhang Z, Li J, Muhammad J, Cai J, Jia F, Shi Y, Gong J, Shang H, Liu A, Chen T, Ge Q, Palanga KK, Lu Q, Deng X, Tan Y, Li W, Sun L, Gong W, Yuan Y.
    PLoS One; 2015 Aug 05; 10(8):e0135430. PubMed ID: 26262992
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  • 35. Differentially expressed genes between two groups of backcross inbred lines differing in fiber length developed from Upland × Pima cotton.
    Wu M, Li L, Liu G, Li X, Pei W, Li X, Zhang J, Yu S, Yu J.
    Mol Biol Rep; 2019 Feb 05; 46(1):1199-1212. PubMed ID: 30659437
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  • 36. Two genomic regions associated with fiber quality traits in Chinese upland cotton under apparent breeding selection.
    Su J, Li L, Pang C, Wei H, Wang C, Song M, Wang H, Zhao S, Zhang C, Mao G, Huang L, Wang C, Fan S, Yu S.
    Sci Rep; 2016 Dec 07; 6():38496. PubMed ID: 27924947
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  • 37. Fine mapping and RNA-Seq unravels candidate genes for a major QTL controlling multiple fiber quality traits at the T1 region in upland cotton.
    Liu D, Zhang J, Liu X, Wang W, Liu D, Teng Z, Fang X, Tan Z, Tang S, Yang J, Zhong J, Zhang Z.
    BMC Genomics; 2016 Apr 19; 17():295. PubMed ID: 27094760
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  • 38. Genome-wide identification of the key Kinesin genes during fiber and boll development in upland cotton (Gossypium hirsutum L).
    Zhu H, Xu J, Yu K, Wu J, Xu H, Wang S, Wen T.
    Mol Genet Genomics; 2024 Jan 11; 299(1):2. PubMed ID: 38200363
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  • 39. The cellulose synthase (CesA) gene family in four Gossypium species: phylogenetics, sequence variation and gene expression in relation to fiber quality in Upland cotton.
    Zhang S, Jiang Z, Chen J, Han Z, Chi J, Li X, Yu J, Xing C, Song M, Wu J, Liu F, Zhang X, Zhang J, Zhang J.
    Mol Genet Genomics; 2021 Mar 11; 296(2):355-368. PubMed ID: 33438049
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  • 40. 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
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