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

2057 related items for PubMed ID: 22876968

  • 1. QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.).
    Marathi B, Guleria S, Mohapatra T, Parsad R, Mariappan N, Kurungara VK, Atwal SS, Prabhu KV, Singh NK, Singh AK.
    BMC Plant Biol; 2012 Aug 09; 12():137. PubMed ID: 22876968
    [Abstract] [Full Text] [Related]

  • 2. Molecular mapping of QTLs for yield related traits in recombinant inbred line (RIL) population derived from the popular rice hybrid KRH-2 and their validation through SNP genotyping.
    Kulkarni SR, Balachandran SM, Ulaganathan K, Balakrishnan D, Praveen M, Prasad ASH, Fiyaz RA, Senguttuvel P, Sinha P, Kale RR, Rekha G, Kousik MBVN, Harika G, Anila M, Punniakoti E, Dilip T, Hajira SK, Pranathi K, Das MA, Shaik M, Chaitra K, Rao PK, Gangurde SS, Pandey MK, Sundaram RM.
    Sci Rep; 2020 Aug 13; 10(1):13695. PubMed ID: 32792551
    [Abstract] [Full Text] [Related]

  • 3. Analysis of quantitative trait loci affecting chlorophyll content of rice leaves in a double haploid population and two backcross populations.
    Jiang G, Zeng J, He Y.
    Gene; 2014 Feb 25; 536(2):287-95. PubMed ID: 24361205
    [Abstract] [Full Text] [Related]

  • 4. QTL mapping of grain weight in rice and the validation of the QTL qTGW3.2.
    Tang SQ, Shao GN, Wei XJ, Chen ML, Sheng ZH, Luo J, Jiao GA, Xie LH, Hu PS.
    Gene; 2013 Sep 15; 527(1):201-6. PubMed ID: 23769924
    [Abstract] [Full Text] [Related]

  • 5. Quantitative trait loci for rice yield-related traits using recombinant inbred lines derived from two diverse cultivars.
    Bai XF, Luo LJ, Yan WH, Kovi MR, Xing YZ.
    J Genet; 2011 Aug 15; 90(2):209-15. PubMed ID: 21869469
    [Abstract] [Full Text] [Related]

  • 6. Enhanced Expression of QTL qLL9/DEP1 Facilitates the Improvement of Leaf Morphology and Grain Yield in Rice.
    Fu X, Xu J, Zhou M, Chen M, Shen L, Li T, Zhu Y, Wang J, Hu J, Zhu L, Gao Z, Dong G, Guo L, Ren D, Chen G, Lin J, Qian Q, Zhang G.
    Int J Mol Sci; 2019 Feb 17; 20(4):. PubMed ID: 30781568
    [Abstract] [Full Text] [Related]

  • 7. QTL analysis for flag leaf characteristics and their relationships with yield and yield traits in rice.
    Yue B, Xue WY, Luo LJ, Xing YZ.
    Yi Chuan Xue Bao; 2006 Sep 17; 33(9):824-32. PubMed ID: 16980129
    [Abstract] [Full Text] [Related]

  • 8. Identification of QTLs for high grain yield and component traits in new plant types of rice.
    Donde R, Mohapatra S, Baksh SKY, Padhy B, Mukherjee M, Roy S, Chattopadhyay K, Anandan A, Swain P, Sahoo KK, Singh ON, Behera L, Dash SK.
    PLoS One; 2020 Sep 17; 15(7):e0227785. PubMed ID: 32673318
    [Abstract] [Full Text] [Related]

  • 9. 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]

  • 10. Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population between Oryza rufipogon and the Oryza sativa cultivar Jefferson.
    Thomson MJ, Tai TH, McClung AM, Lai XH, Hinga ME, Lobos KB, Xu Y, Martinez CP, McCouch SR.
    Theor Appl Genet; 2003 Aug 15; 107(3):479-93. PubMed ID: 12736777
    [Abstract] [Full Text] [Related]

  • 11. Mapping QTLs for grain yield components in wheat under heat stress.
    Bhusal N, Sarial AK, Sharma P, Sareen S.
    PLoS One; 2017 Aug 15; 12(12):e0189594. PubMed ID: 29261718
    [Abstract] [Full Text] [Related]

  • 12. Construction of introgression lines carrying wild rice (Oryza rufipogon Griff.) segments in cultivated rice (Oryza sativa L.) background and characterization of introgressed segments associated with yield-related traits.
    Tian F, Li DJ, Fu Q, Zhu ZF, Fu YC, Wang XK, Sun CQ.
    Theor Appl Genet; 2006 Feb 15; 112(3):570-80. PubMed ID: 16331476
    [Abstract] [Full Text] [Related]

  • 13. Genome wide association mapping for grain shape traits in indica rice.
    Feng Y, Lu Q, Zhai R, Zhang M, Xu Q, Yang Y, Wang S, Yuan X, Yu H, Wang Y, Wei X.
    Planta; 2016 Oct 15; 244(4):819-30. PubMed ID: 27198135
    [Abstract] [Full Text] [Related]

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

  • 15.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 16.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 17. Genetic mechanisms underlying yield potential in the rice high-yielding cultivar Takanari, based on reciprocal chromosome segment substitution lines.
    Takai T, Ikka T, Kondo K, Nonoue Y, Ono N, Arai-Sanoh Y, Yoshinaga S, Nakano H, Yano M, Kondo M, Yamamoto T.
    BMC Plant Biol; 2014 Nov 18; 14():295. PubMed ID: 25404368
    [Abstract] [Full Text] [Related]

  • 18.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

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

  • 20.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 103.