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Journal Abstract Search

706 related items for PubMed ID: 30456522

  • 1. 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; 41(3):283-295. PubMed ID: 30456522
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  • 4. Enhancing rice grain production by manipulating the naturally evolved cis-regulatory element-containing inverted repeat sequence of OsREM20.
    Wu X, Liang Y, Gao H, Wang J, Zhao Y, Hua L, Yuan Y, Wang A, Zhang X, Liu J, Zhou J, Meng X, Zhang D, Lin S, Huang X, Han B, Li J, Wang Y.
    Mol Plant; 2021 Jun 07; 14(6):997-1011. PubMed ID: 33741527
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  • 9. Exploring genetic architecture of grain yield and quality traits in a 16-way indica by japonica rice MAGIC global population.
    Zaw H, Raghavan C, Pocsedio A, Swamy BPM, Jubay ML, Singh RK, Bonifacio J, Mauleon R, Hernandez JE, Mendioro MS, Gregorio GB, Leung H.
    Sci Rep; 2019 Dec 20; 9(1):19605. PubMed ID: 31862941
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  • 10. 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 Dec 20; 12(3):e0172133. PubMed ID: 28282385
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  • 11. Genetic dissection of heterosis of indica-japonica by introgression line, recombinant inbred line and their testcross populations.
    Yang W, Zhang F, Zafar S, Wang J, Lu H, Naveed S, Lou J, Xu J.
    Sci Rep; 2021 May 13; 11(1):10265. PubMed ID: 33986411
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  • 12. Uncovering the genetic mechanisms regulating panicle architecture in rice with GPWAS and GWAS.
    Zhong H, Liu S, Meng X, Sun T, Deng Y, Kong W, Peng Z, Li Y.
    BMC Genomics; 2021 Jan 28; 22(1):86. PubMed ID: 33509071
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  • 14. Genetic analysis of cold tolerance at the germination and booting stages in rice by association mapping.
    Pan Y, Zhang H, Zhang D, Li J, Xiong H, Yu J, Li J, Rashid MA, Li G, Ma X, Cao G, Han L, Li Z.
    PLoS One; 2015 Jan 28; 10(3):e0120590. PubMed ID: 25790128
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  • 15. Validation of Yield Component Traits Identified by Genome-Wide Association Mapping in a tropical japonica × tropical japonica Rice Biparental Mapping Population.
    Eizenga GC, Jia MH, Jackson AK, Boykin DL, Ali ML, Shakiba E, Tran NT, McCouch SR, Edwards JD.
    Plant Genome; 2019 Mar 28; 12(1):. PubMed ID: 30951093
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  • 16. Characterisation of a novel quantitative trait locus, GN4-1, for grain number and yield in rice (Oryza sativa L.).
    Zhou Y, Tao Y, Yuan Y, Zhang Y, Miao J, Zhang R, Yi C, Gong Z, Yang Z, Liang G.
    Theor Appl Genet; 2018 Mar 28; 131(3):637-648. PubMed ID: 29299612
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  • 17. 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 28; 234(2):347-61. PubMed ID: 21479810
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