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

Journal Abstract Search


177 related items for PubMed ID: 23987653

  • 21.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 22.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 23. An Intelligent Rice Yield Trait Evaluation System Based on Threshed Panicle Compensation.
    Huang C, Li W, Zhang Z, Hua X, Yang J, Ye J, Duan L, Liang X, Yang W.
    Front Plant Sci; 2022; 13():900408. PubMed ID: 35937323
    [Abstract] [Full Text] [Related]

  • 24.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 25.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 26.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 27. OsGRF4 controls grain shape, panicle length and seed shattering in rice.
    Sun P, Zhang W, Wang Y, He Q, Shu F, Liu H, Wang J, Wang J, Yuan L, Deng H.
    J Integr Plant Biol; 2016 Oct; 58(10):836-847. PubMed ID: 26936408
    [Abstract] [Full Text] [Related]

  • 28. Genome-Wide Association Mapping for Yield and Yield-Related Traits in Rice (Oryza Sativa L.) Using SNPs Markers.
    Ashfaq M, Rasheed A, Zhu R, Ali M, Javed MA, Anwar A, Tabassum J, Shaheen S, Wu X.
    Genes (Basel); 2023 May 15; 14(5):. PubMed ID: 37239449
    [Abstract] [Full Text] [Related]

  • 29.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 30. Genetic architecture, inter-relationship and selection criteria for yield improvement in rice (Oryza sativa L.).
    Yadav SK, Pandey P, Kumar B, Suresh BG.
    Pak J Biol Sci; 2011 May 01; 14(9):540-5. PubMed ID: 22032083
    [Abstract] [Full Text] [Related]

  • 31.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 32.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 33. Archetypes of inflorescence: genome-wide association networks of panicle morphometric, growth, and disease variables in a multiparent oat population.
    Carlson CH, Fiedler JD, Naraghi SM, Nazareno ES, Ardayfio NK, McMullen MS, Kianian SF.
    Genetics; 2023 Feb 09; 223(2):. PubMed ID: 36106985
    [Abstract] [Full Text] [Related]

  • 34.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 35. Genome-wide transcriptome profiling provides insights into panicle development of rice (Oryza sativa L.).
    Ke S, Liu XJ, Luan X, Yang W, Zhu H, Liu G, Zhang G, Wang S.
    Gene; 2018 Oct 30; 675():285-300. PubMed ID: 29969697
    [Abstract] [Full Text] [Related]

  • 36. Field rice panicle detection and counting based on deep learning.
    Wang X, Yang W, Lv Q, Huang C, Liang X, Chen G, Xiong L, Duan L.
    Front Plant Sci; 2022 Oct 30; 13():966495. PubMed ID: 36035660
    [Abstract] [Full Text] [Related]

  • 37.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 38.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 39. Combining Image Analysis, Genome Wide Association Studies and Different Field Trials to Reveal Stable Genetic Regions Related to Panicle Architecture and the Number of Spikelets per Panicle in Rice.
    Rebolledo MC, Peña AL, Duitama J, Cruz DF, Dingkuhn M, Grenier C, Tohme J.
    Front Plant Sci; 2016 Oct 30; 7():1384. PubMed ID: 27703460
    [Abstract] [Full Text] [Related]

  • 40. Leaf to panicle ratio (LPR): a new physiological trait indicative of source and sink relation in japonica rice based on deep learning.
    Yang Z, Gao S, Xiao F, Li G, Ding Y, Guo Q, Paul MJ, Liu Z.
    Plant Methods; 2020 Oct 30; 16():117. PubMed ID: 32863854
    [Abstract] [Full Text] [Related]


    Page: [Previous] [Next] [New Search]
    of 9.