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Journal Abstract Search

504 related items for PubMed ID: 27659284

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  • 2. Genome-wide association mapping and gene expression analysis reveal candidate genes for grain chalkiness in rice.
    Huo X, Wang J, Chen L, Fu H, Yang T, Dong J, Ma Y, Zhou L, Chen J, Liu D, Liu B, Zhao J, Zhang S, Yang W.
    Front Plant Sci; 2023; 14():1184276. PubMed ID: 37123865
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  • 5. Mapping quantitative trait loci underlying appearance quality of rice grains (Oryza sativa L.).
    Li ZF, Wan JM, Xia JF, Zhai HQ.
    Yi Chuan Xue Bao; 2003 Mar; 30(3):251-9. PubMed ID: 12812091
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  • 6. High-resolution quantitative trait locus mapping for rice grain quality traits using genotyping by sequencing.
    Jin SK, Xu LN, Yang QQ, Zhang MQ, Wang SL, Wang RA, Tao T, Hong LM, Guo QQ, Jia SW, Song T, Leng YJ, Cai XL, Gao JP.
    Front Plant Sci; 2022 Mar; 13():1050882. PubMed ID: 36714703
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  • 7. 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 Mar; 10(12):e0145577. PubMed ID: 26714258
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  • 10. Genome-wide association mapping of quantitative trait loci for chalkiness-related traits in rice (Oryza sativa L.).
    Xu Q, Jiang J, Jing C, Hu C, Zhang M, Li X, Shen J, Hai M, Zhang Y, Wang D, Dang X.
    Front Genet; 2024 Mar; 15():1423648. PubMed ID: 39050253
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  • 11. Comparative mapping of chalkiness components in rice using five populations across two environments.
    Peng B, Wang L, Fan C, Jiang G, Luo L, Li Y, He Y.
    BMC Genet; 2014 Apr 26; 15():49. PubMed ID: 24766995
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  • 13. Substitution Mapping of Two Closely Linked QTLs on Chromosome 8 Controlling Grain Chalkiness in Rice.
    Yang W, Xiong L, Liang J, Hao Q, Luan X, Tan Q, Lin S, Zhu H, Liu G, Liu Z, Bu S, Wang S, Zhang G.
    Rice (N Y); 2021 Oct 02; 14(1):85. PubMed ID: 34601659
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  • 14. Identification of Genomic Regions Controlling Chalkiness and Grain Characteristics in a Recombinant Inbred Line Rice Population Based on High-Throughput SNP Markers.
    Dwiningsih Y, Kumar A, Thomas J, Ruiz C, Alkahtani J, Al-Hashimi A, Pereira A.
    Genes (Basel); 2021 Oct 24; 12(11):. PubMed ID: 34828295
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  • 15. Molecular mapping and characterization of QTLs for grain quality traits in a RIL population of US rice under high nighttime temperature stress.
    Kumar A, Thomas J, Gill N, Dwiningsih Y, Ruiz C, Famoso A, Pereira A.
    Sci Rep; 2023 Mar 25; 13(1):4880. PubMed ID: 36966148
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  • 16. Identification and Pleiotropic Effect Analysis of GSE5 on Rice Chalkiness and Grain Shape.
    Jiang L, Zhong H, Jiang X, Zhang J, Huang R, Liao F, Deng Y, Liu Q, Huang Y, Wang H, Tao Y, Zheng J.
    Front Plant Sci; 2021 Mar 25; 12():814928. PubMed ID: 35126437
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  • 17. QTL mapping and correlation analysis for 1000-grain weight and percentage of grains with chalkiness in rice.
    Bian JM, Shi H, Li CJ, Zhu CL, Yu QY, Peng XS, Fu JR, He XP, Chen XR, Hu LF, Ouyang LJ, He HH.
    J Genet; 2013 Mar 25; 92(2):281-7. PubMed ID: 23970084
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  • 18. Genetic dissection of rice grain shape using a recombinant inbred line population derived from two contrasting parents and fine mapping a pleiotropic quantitative trait locus qGL7.
    Bai X, Luo L, Yan W, Kovi MR, Zhan W, Xing Y.
    BMC Genet; 2010 Feb 26; 11():16. PubMed ID: 20184774
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  • 19. Bin-based genome-wide association studies reveal superior alleles for improvement of appearance quality using a 4-way MAGIC population in rice.
    Ayaad M, Han Z, Zheng K, Hu G, Abo-Yousef M, Sobeih SES, Xing Y.
    J Adv Res; 2021 Feb 26; 28():183-194. PubMed ID: 33364055
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  • 20. QTL analysis for rice grain length and fine mapping of an identified QTL with stable and major effects.
    Wan XY, Wan JM, Jiang L, Wang JK, Zhai HQ, Weng JF, Wang HL, Lei CL, Wang JL, Zhang X, Cheng ZJ, Guo XP.
    Theor Appl Genet; 2006 May 26; 112(7):1258-70. PubMed ID: 16477428
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