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Journal Abstract Search

237 related items for PubMed ID: 35401612

  • 1. A Genetic Resource for Rice Improvement: Introgression Library of Agronomic Traits for All AA Genome Oryza Species.
    Zhang Y, Zhou J, Xu P, Li J, Deng X, Deng W, Yang Y, Yu Y, Pu Q, Tao D.
    Front Plant Sci; 2022; 13():856514. PubMed ID: 35401612
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  • 2. Identification of a Rice stripe necrosis virus resistance locus and yield component QTLs using Oryza sativa x O. glaberrima introgression lines.
    Gutiérrez AG, Carabalí SJ, Giraldo OX, Martínez CP, Correa F, Prado G, Tohme J, Lorieux M.
    BMC Plant Biol; 2010 Jan 08; 10():6. PubMed ID: 20064202
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  • 4. 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 08; 112(3):570-80. PubMed ID: 16331476
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  • 5. Validation of a QTL for Grain Size and Weight Using an Introgression Line from a Cross between Oryza sativa and Oryza minuta.
    Feng Y, Yuan X, Wang Y, Yang Y, Zhang M, Yu H, Xu Q, Wang S, Niu X, Wei X.
    Rice (N Y); 2021 May 20; 14(1):43. PubMed ID: 34014427
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  • 6. Genome-wide association analysis identifies natural allelic variants associated with panicle architecture variation in African rice, Oryza glaberrima Steud.
    Ntakirutimana F, Tranchant-Dubreuil C, Cubry P, Chougule K, Zhang J, Wing RA, Adam H, Lorieux M, Jouannic S.
    G3 (Bethesda); 2023 Sep 30; 13(10):. PubMed ID: 37535690
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  • 11. QTL Mapping of Grain Quality Traits Using Introgression Lines Carrying Oryza rufipogon Chromosome Segments in Japonica Rice.
    Yun YT, Chung CT, Lee YJ, Na HJ, Lee JC, Lee SG, Lee KW, Yoon YH, Kang JW, Lee HS, Lee JY, Ahn SN.
    Rice (N Y); 2016 Dec 30; 9(1):62. PubMed ID: 27882529
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  • 14. Genome-wide association study of agronomic traits in rice cultivated in temperate regions.
    Reig-Valiente JL, Marqués L, Talón M, Domingo C.
    BMC Genomics; 2018 Sep 25; 19(1):706. PubMed ID: 30253735
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  • 16. QTL mapping for resistance to and tolerance for the rice root-knot nematode, Meloidogyne graminicola.
    Galeng-Lawilao J, Kumar A, De Waele D.
    BMC Genet; 2018 Aug 06; 19(1):53. PubMed ID: 30081817
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  • 18. 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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  • 20. 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 09; 128(6):1151-61. PubMed ID: 25821195
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