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Journal Abstract Search

311 related items for PubMed ID: 34686134

  • 1. Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces.
    Beena R, Kirubakaran S, Nithya N, Manickavelu A, Sah RP, Abida PS, Sreekumar J, Jaslam PM, Rejeth R, Jayalekshmy VG, Roy S, Manju RV, Viji MM, Siddique KHM.
    BMC Plant Biol; 2021 Oct 23; 21(1):484. PubMed ID: 34686134
    [Abstract] [Full Text] [Related]

  • 2. Utilization of genetic diversity and marker-trait to improve drought tolerance in rice (Oryza sativa L.).
    Ghazy MI, Salem KFM, Sallam A.
    Mol Biol Rep; 2021 Jan 23; 48(1):157-170. PubMed ID: 33300089
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  • 3. Genetic mapping of physiological traits associated with terminal stage drought tolerance in rice.
    Barik SR, Pandit E, Mohanty SP, Nayak DK, Pradhan SK.
    BMC Genet; 2020 Jul 14; 21(1):76. PubMed ID: 32664865
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  • 4. 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
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  • 5. Genetic analysis of yield and agronomic traits under reproductive-stage drought stress in rice using a high-resolution linkage map.
    Bhattarai U, Subudhi PK.
    Gene; 2018 Aug 30; 669():69-76. PubMed ID: 29802991
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  • 6. Genetic variation, linkage mapping of QTL and correlation studies for yield, root, and agronomic traits for aerobic adaptation.
    Sandhu N, Jain S, Kumar A, Mehla BS, Jain R.
    BMC Genet; 2013 Oct 29; 14():104. PubMed ID: 24168061
    [Abstract] [Full Text] [Related]

  • 7. Quantitative trait loci associated with drought tolerance at reproductive stage in rice.
    Lanceras JC, Pantuwan G, Jongdee B, Toojinda T.
    Plant Physiol; 2004 May 29; 135(1):384-99. PubMed ID: 15122029
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  • 8. Mapping QTLs for improving grain yield using the USDA rice mini-core collection.
    Li X, Yan W, Agrama H, Jia L, Shen X, Jackson A, Moldenhauer K, Yeater K, McClung A, Wu D.
    Planta; 2011 Aug 29; 234(2):347-61. PubMed ID: 21479810
    [Abstract] [Full Text] [Related]

  • 9. Natural Variation Uncovers Candidate Genes for Barley Spikelet Number and Grain Yield under Drought Stress.
    Thabet SG, Moursi YS, Karam MA, Börner A, Alqudah AM.
    Genes (Basel); 2020 May 11; 11(5):. PubMed ID: 32403266
    [Abstract] [Full Text] [Related]

  • 10. 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 11; 244(4):819-30. PubMed ID: 27198135
    [Abstract] [Full Text] [Related]

  • 11. Mapping of QTLs associated with yield and related traits under reproductive stage drought stress in rice using SNP linkage map.
    Kaldate R, Verma RK, Chetia SK, Dey PC, Mahalle MD, Singh SK, Baruah AR, Modi MK.
    Mol Biol Rep; 2023 Aug 11; 50(8):6349-6359. PubMed ID: 37314604
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  • 16. Agro-morphological characterization of a population of introgression lines derived from crosses between IR 64 (Oryza sativa indica) and TOG 5681 (Oryza glaberrima) for drought tolerance.
    Bocco R, Lorieux M, Seck PA, Futakuchi K, Manneh B, Baimey H, Ndjiondjop MN.
    Plant Sci; 2012 Feb 11; 183():65-76. PubMed ID: 22195579
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  • 19. Time-course association mapping of the grain-filling rate in rice (Oryza sativa L.).
    Liu E, Liu X, Zeng S, Zhao K, Zhu C, Liu Y, Breria MC, Zhang B, Hong D.
    PLoS One; 2015 Feb 11; 10(3):e0119959. PubMed ID: 25789629
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