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Journal Abstract Search

183 related items for PubMed ID: 28803900

  • 1.
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  • 2. 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; 244(4):819-30. PubMed ID: 27198135
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  • 3. Open access resources for genome-wide association mapping in rice.
    McCouch SR, Wright MH, Tung CW, Maron LG, McNally KL, Fitzgerald M, Singh N, DeClerck G, Agosto-Perez F, Korniliev P, Greenberg AJ, Naredo ME, Mercado SM, Harrington SE, Shi Y, Branchini DA, Kuser-Falcão PR, Leung H, Ebana K, Yano M, Eizenga G, McClung A, Mezey J.
    Nat Commun; 2016 Feb 04; 7():10532. PubMed ID: 26842267
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  • 4. [Current status and strategies for improvement of rice grain chalkiness].
    Zhou LJ, Jiang L, Zhai HQ, Wan JM.
    Yi Chuan; 2009 Jun 04; 31(6):563-72. PubMed ID: 19586854
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  • 8. Dissecting the genome-wide genetic variants of milling and appearance quality traits in rice.
    Misra G, Anacleto R, Badoni S, Butardo V, Molina L, Graner A, Demont M, Morell MK, Sreenivasulu N.
    J Exp Bot; 2019 Oct 15; 70(19):5115-5130. PubMed ID: 31145789
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  • 11. Genetic dissection of yield traits in super hybrid rice Xieyou9308 using both unconditional and conditional genome-wide association mapping.
    Zhang Y, Zhou L, Shen X, Chen D, Wu W, Zhan X, Liu Q, Zhu A, Lou X, Xu H, Cheng S, Cao L.
    Sci Rep; 2017 Apr 11; 7(1):824. PubMed ID: 28400567
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  • 12. A novel rice grain size gene OsSNB was identified by genome-wide association study in natural population.
    Ma X, Feng F, Zhang Y, Elesawi IE, Xu K, Li T, Mei H, Liu H, Gao N, Chen C, Luo L, Yu S.
    PLoS Genet; 2019 May 11; 15(5):e1008191. PubMed ID: 31150378
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  • 14. A quantitative genetic framework highlights the role of epistatic effects for grain-yield heterosis in bread wheat.
    Jiang Y, Schmidt RH, Zhao Y, Reif JC.
    Nat Genet; 2017 Dec 11; 49(12):1741-1746. PubMed ID: 29038596
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  • 15. [Genetic correlations between quality traits and other economic traits in japonica rice].
    Lü WY, Zhang J, Shao GJ, Zhou HF, Cao P.
    Yi Chuan; 2005 Jul 11; 27(4):601-4. PubMed ID: 16120586
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  • 16. Genome-wide association study of rice grain width variation.
    Zheng XM, Gong T, Ou HL, Xue D, Qiao W, Wang J, Liu S, Yang Q, Olsen KM.
    Genome; 2018 Apr 11; 61(4):233-240. PubMed ID: 29193996
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  • 17. Genetic Diversity and Phenotypic Variation in an Introgression Line Population Derived from an Interspecific Cross between Oryza glaberrima and Oryza sativa.
    Chen C, He W, Nassirou TY, Zhou W, Yin Y, Dong X, Rao Q, Shi H, Zhao W, Efisue A, Jin D.
    PLoS One; 2016 Apr 11; 11(9):e0161746. PubMed ID: 27603678
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  • 18. Genome-Wide Association Study of Grain Appearance and Milling Quality in a Worldwide Collection of Indica Rice Germplasm.
    Qiu X, Pang Y, Yuan Z, Xing D, Xu J, Dingkuhn M, Li Z, Ye G.
    PLoS One; 2015 Apr 11; 10(12):e0145577. PubMed ID: 26714258
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  • 19. Deep sequencing transcriptional fingerprinting of rice kernels for dissecting grain quality traits.
    Biselli C, Bagnaresi P, Cavalluzzo D, Urso S, Desiderio F, Orasen G, Gianinetti A, Righettini F, Gennaro M, Perrini R, Ben Hassen M, Sacchi GA, Cattivelli L, Valè G.
    BMC Genomics; 2015 Dec 21; 16():1091. PubMed ID: 26689934
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  • 20. Comparative and parallel genome-wide association studies for metabolic and agronomic traits in cereals.
    Chen W, Wang W, Peng M, Gong L, Gao Y, Wan J, Wang S, Shi L, Zhou B, Li Z, Peng X, Yang C, Qu L, Liu X, Luo J.
    Nat Commun; 2016 Oct 04; 7():12767. PubMed ID: 27698483
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