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Journal Abstract Search

544 related items for PubMed ID: 30428844

  • 21. Quantitative trait locus analysis and fine mapping of the qPL6 locus for panicle length in rice.
    Zhang L, Wang J, Wang J, Wang L, Ma B, Zeng L, Qi Y, Li Q, He Z.
    Theor Appl Genet; 2015 Jun; 128(6):1151-61. PubMed ID: 25821195
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  • 22. Diverse panicle architecture results from various combinations of Prl5/GA20ox4 and Pbl6/APO1 alleles.
    Agata A, Ando K, Ota S, Kojima M, Takebayashi Y, Takehara S, Doi K, Ueguchi-Tanaka M, Suzuki T, Sakakibara H, Matsuoka M, Ashikari M, Inukai Y, Kitano H, Hobo T.
    Commun Biol; 2020 Jun 11; 3(1):302. PubMed ID: 32528064
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  • 23. 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 Jun 11; 7():1384. PubMed ID: 27703460
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  • 24. Genome-wide association and high-resolution phenotyping link Oryza sativa panicle traits to numerous trait-specific QTL clusters.
    Crowell S, Korniliev P, Falcão A, Ismail A, Gregorio G, Mezey J, McCouch S.
    Nat Commun; 2016 Feb 04; 7():10527. PubMed ID: 26841834
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  • 25. 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 04; 112(3):570-80. PubMed ID: 16331476
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  • 26. Identification of cold tolerance QTLs at the bud burst stage in 211 rice landraces by GWAS.
    Li C, Liu J, Bian J, Jin T, Zou B, Liu S, Zhang X, Wang P, Tan J, Wu G, Chen Q, Wang Y, Zhong Q, Huang S, Yang M, Huang T, He H, Bian J.
    BMC Plant Biol; 2021 Nov 20; 21(1):542. PubMed ID: 34800993
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  • 27. Molecular and Genetic Aspects of Grain Number Determination in Rice (Oryza sativa L.).
    Yin C, Zhu Y, Li X, Lin Y.
    Int J Mol Sci; 2021 Jan 13; 22(2):. PubMed ID: 33450933
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  • 28. Genetic architecture of cold tolerance in rice (Oryza sativa) determined through high resolution genome-wide analysis.
    Shakiba E, Edwards JD, Jodari F, Duke SE, Baldo AM, Korniliev P, McCouch SR, Eizenga GC.
    PLoS One; 2017 Jan 13; 12(3):e0172133. PubMed ID: 28282385
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  • 29. Novel Imaging Techniques to Analyze Panicle Architecture.
    Pasion E, Aguila R, Sreenivasulu N, Anacleto R.
    Methods Mol Biol; 2019 Jan 13; 1892():75-88. PubMed ID: 30397800
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  • 30. Genome-wide association analysis for heat tolerance at flowering detected a large set of genes involved in adaptation to thermal and other stresses.
    Lafarge T, Bueno C, Frouin J, Jacquin L, Courtois B, Ahmadi N.
    PLoS One; 2017 Jan 13; 12(2):e0171254. PubMed ID: 28152098
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  • 31. Multifloret spikelet improves rice yield.
    Ren D, Li Y, He G, Qian Q.
    New Phytol; 2020 Mar 13; 225(6):2301-2306. PubMed ID: 31677165
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  • 32. [Mapping QTLs controlling vascular bundle and panicle-related traits from Yuanjiang common wild rice (Oryza rufipogon Griff.)].
    Jing YH, Sun CQ, Tan LB, Fu YC, Zhang PJ, Xu ZJ, Chen WF, Wang XK.
    Yi Chuan Xue Bao; 2005 Feb 13; 32(2):178-82. PubMed ID: 15759865
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  • 33. Dissection of the Genetic Basis of Rice Panicle Architecture Using a Genome-wide Association Study.
    Bai S, Hong J, Li L, Su S, Li Z, Wang W, Zhang F, Liang W, Zhang D.
    Rice (N Y); 2021 Sep 06; 14(1):77. PubMed ID: 34487253
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  • 34. 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
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  • 35. Genome-Wide Association Study Reveals Novel QTLs and Candidate Genes for Grain Number in Rice.
    Li P, Li Q, Lu X, Dai L, Yang L, Hong Y, Yan T, Shen L, Zhang Q, Ren D, Zhu L, Hu J, Dong G, Zhang G, Qian Q, Zeng D.
    Int J Mol Sci; 2022 Nov 06; 23(21):. PubMed ID: 36362403
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  • 36. 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
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  • 37. Exploitation of heterosis loci for yield and yield components in rice using chromosome segment substitution lines.
    Tao Y, Zhu J, Xu J, Wang L, Gu H, Zhou R, Yang Z, Zhou Y, Liang G.
    Sci Rep; 2016 Nov 11; 6():36802. PubMed ID: 27833097
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  • 38. Identifying natural genotypes of grain number per panicle in rice (Oryza sativa L.) by association mapping.
    Xie J, Li F, Khan NU, Zhu X, Wang X, Zhang Z, Ma X, Zhao Y, Zhang Q, Zhang S, Zhang Z, Li J, Li Z, Zhang H.
    Genes Genomics; 2019 Mar 11; 41(3):283-295. PubMed ID: 30456522
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  • 39. Quantitative trait Loci for panicle layer uniformity identified in doubled haploid lines of rice in two environments.
    Ma L, Bao J, Guo L, Zeng D, Li X, Ji Z, Xia Y, Yang C, Qian Q.
    J Integr Plant Biol; 2009 Sep 11; 51(9):818-24. PubMed ID: 19723240
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  • 40. Genome wide screening and comparative genome analysis for Meta-QTLs, ortho-MQTLs and candidate genes controlling yield and yield-related traits in rice.
    Khahani B, Tavakol E, Shariati V, Fornara F.
    BMC Genomics; 2020 Apr 10; 21(1):294. PubMed ID: 32272882
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