These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

541 related items for PubMed ID: 27256327

  • 1. A comparative transcriptome analysis of two sets of backcross inbred lines differing in lint-yield derived from a Gossypium hirsutum × Gossypium barbadense population.
    Man W, Zhang L, Li X, Xie X, Pei W, Yu J, Yu S, Zhang J.
    Mol Genet Genomics; 2016 Aug; 291(4):1749-67. PubMed ID: 27256327
    [Abstract] [Full Text] [Related]

  • 2. 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; 46(1):1199-1212. PubMed ID: 30659437
    [Abstract] [Full Text] [Related]

  • 3. Identification of candidate genes for fiber length quantitative trait loci through RNA-Seq and linkage and physical mapping in cotton.
    Li X, Wu M, Liu G, Pei W, Zhai H, Yu J, Zhang J, Yu S.
    BMC Genomics; 2017 May 31; 18(1):427. PubMed ID: 28569138
    [Abstract] [Full Text] [Related]

  • 4. 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 31; 126(1):275-87. PubMed ID: 23064252
    [Abstract] [Full Text] [Related]

  • 5. 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 31; 132(9):2663-2676. PubMed ID: 31236630
    [Abstract] [Full Text] [Related]

  • 6.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 7. Construction of a high-density genetic map and lint percentage and cottonseed nutrient trait QTL identification in upland cotton (Gossypium hirsutum L.).
    Liu D, Liu F, Shan X, Zhang J, Tang S, Fang X, Liu X, Wang W, Tan Z, Teng Z, Zhang Z, Liu D.
    Mol Genet Genomics; 2015 Oct 31; 290(5):1683-700. PubMed ID: 25796191
    [Abstract] [Full Text] [Related]

  • 8. A high-density genetic map of extra-long staple cotton (Gossypium barbadense) constructed using genotyping-by-sequencing based single nucleotide polymorphic markers and identification of fiber traits-related QTL in a recombinant inbred line population.
    Fan L, Wang L, Wang X, Zhang H, Zhu Y, Guo J, Gao W, Geng H, Chen Q, Qu Y.
    BMC Genomics; 2018 Jun 25; 19(1):489. PubMed ID: 29940861
    [Abstract] [Full Text] [Related]

  • 9. Construction of a high-density genetic map by specific locus amplified fragment sequencing (SLAF-seq) and its application to Quantitative Trait Loci (QTL) analysis for boll weight in upland cotton (Gossypium hirsutum.).
    Zhang Z, Shang H, Shi Y, Huang L, Li J, Ge Q, Gong J, Liu A, Chen T, Wang D, Wang Y, Palanga KK, Muhammad J, Li W, Lu Q, Deng X, Tan Y, Song W, Cai J, Li P, Rashid Ho, Gong W, Yuan Y.
    BMC Plant Biol; 2016 Apr 11; 16():79. PubMed ID: 27067834
    [Abstract] [Full Text] [Related]

  • 10. Mapping by sequencing in cotton (Gossypium hirsutum) line MD52ne identified candidate genes for fiber strength and its related quality attributes.
    Islam MS, Zeng L, Thyssen GN, Delhom CD, Kim HJ, Li P, Fang DD.
    Theor Appl Genet; 2016 Jun 11; 129(6):1071-86. PubMed ID: 26883043
    [Abstract] [Full Text] [Related]

  • 11. Gene expression profile analysis of Ligon lintless-1 (Li1) mutant reveals important genes and pathways in cotton leaf and fiber development.
    Ding M, Jiang Y, Cao Y, Lin L, He S, Zhou W, Rong J.
    Gene; 2014 Feb 10; 535(2):273-85. PubMed ID: 24279997
    [Abstract] [Full Text] [Related]

  • 12.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 13. A genome-wide analysis of pentatricopeptide repeat (PPR) protein-encoding genes in four Gossypium species with an emphasis on their expression in floral buds, ovules, and fibers in upland cotton.
    Han Z, Qin Y, Li X, Yu J, Li R, Xing C, Song M, Wu J, Zhang J.
    Mol Genet Genomics; 2020 Jan 10; 295(1):55-66. PubMed ID: 31446488
    [Abstract] [Full Text] [Related]

  • 14.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 15. Genetic and transcriptomic dissection of the fiber length trait from a cotton (Gossypium hirsutum L.) MAGIC population.
    Naoumkina M, Thyssen GN, Fang DD, Jenkins JN, McCarty JC, Florane CB.
    BMC Genomics; 2019 Feb 06; 20(1):112. PubMed ID: 30727946
    [Abstract] [Full Text] [Related]

  • 16. A comparative meta-analysis of QTL between intraspecific Gossypium hirsutum and interspecific G. hirsutum × G. barbadense populations.
    Said JI, Song M, Wang H, Lin Z, Zhang X, Fang DD, Zhang J.
    Mol Genet Genomics; 2015 Jun 06; 290(3):1003-25. PubMed ID: 25501533
    [Abstract] [Full Text] [Related]

  • 17. QTL Mapping for Fiber Quality and Yield Traits Based on Introgression Lines Derived from Gossypium hirsutum × G. tomentosum.
    Keerio AA, Shen C, Nie Y, Ahmed MM, Zhang X, Lin Z.
    Int J Mol Sci; 2018 Jan 14; 19(1):. PubMed ID: 29342893
    [Abstract] [Full Text] [Related]

  • 18. Transcriptome Analysis Suggests That Chromosome Introgression Fragments from Sea Island Cotton (Gossypium barbadense) Increase Fiber Strength in Upland Cotton (Gossypium hirsutum).
    Lu Q, Shi Y, Xiao X, Li P, Gong J, Gong W, Liu A, Shang H, Li J, Ge Q, Song W, Li S, Zhang Z, Rashid MHO, Peng R, Yuan Y, Huang J.
    G3 (Bethesda); 2017 Oct 05; 7(10):3469-3479. PubMed ID: 28874383
    [Abstract] [Full Text] [Related]

  • 19.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 20. A BIL Population Derived from G. hirsutum and G. barbadense Provides a Resource for Cotton Genetics and Breeding.
    Nie X, Tu J, Wang B, Zhou X, Lin Z.
    PLoS One; 2015 Oct 05; 10(10):e0141064. PubMed ID: 26517274
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 28.