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Journal Abstract Search


331 related items for PubMed ID: 34289812

  • 1. Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population.
    Fang H, Fu X, Ge H, Zhang A, Shan T, Wang Y, Li P, Wang B.
    BMC Plant Biol; 2021 Jul 21; 21(1):344. PubMed ID: 34289812
    [Abstract] [Full Text] [Related]

  • 2. Mapping of QTL for agronomic traits using high-density SNPs with an RIL population in maize.
    Sa KJ, Choi IY, Park JY, Choi JK, Ryu SH, Lee JK.
    Genes Genomics; 2021 Dec 21; 43(12):1403-1411. PubMed ID: 34591233
    [Abstract] [Full Text] [Related]

  • 3. Mining of Oil Content Genes in Recombinant Maize Inbred Lines with Introgression from Temperate and Tropical Germplasm.
    Shi M, Sun J, Jiang F, Shaw RK, Ijaz B, Fan X.
    Int J Mol Sci; 2024 Oct 08; 25(19):. PubMed ID: 39409140
    [Abstract] [Full Text] [Related]

  • 4. Detection of quantitative trait loci for kernel oil and protein concentration in a B73 and Zheng58 maize cross.
    Yang Z, Li X, Zhang N, Zhang YN, Jiang HW, Gao J, Kuai BK, Ding YL, Huang XQ.
    Genet Mol Res; 2016 Sep 30; 15(3):. PubMed ID: 27706793
    [Abstract] [Full Text] [Related]

  • 5. Genetic basis of maize kernel starch content revealed by high-density single nucleotide polymorphism markers in a recombinant inbred line population.
    Wang T, Wang M, Hu S, Xiao Y, Tong H, Pan Q, Xue J, Yan J, Li J, Yang X.
    BMC Plant Biol; 2015 Dec 12; 15():288. PubMed ID: 26654531
    [Abstract] [Full Text] [Related]

  • 6. Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels.
    Li H, Peng Z, Yang X, Wang W, Fu J, Wang J, Han Y, Chai Y, Guo T, Yang N, Liu J, Warburton ML, Cheng Y, Hao X, Zhang P, Zhao J, Liu Y, Wang G, Li J, Yan J.
    Nat Genet; 2013 Jan 12; 45(1):43-50. PubMed ID: 23242369
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  • 7. Genetic dissection of maize plant architecture with an ultra-high density bin map based on recombinant inbred lines.
    Zhou Z, Zhang C, Zhou Y, Hao Z, Wang Z, Zeng X, Di H, Li M, Zhang D, Yong H, Zhang S, Weng J, Li X.
    BMC Genomics; 2016 Mar 03; 17():178. PubMed ID: 26940065
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  • 8. Linkage mapping combined with GWAS revealed the genetic structural relationship and candidate genes of maize flowering time-related traits.
    Shi J, Wang Y, Wang C, Wang L, Zeng W, Han G, Qiu C, Wang T, Tao Z, Wang K, Huang S, Yu S, Wang W, Chen H, Chen C, He C, Wang H, Zhu P, Hu Y, Zhang X, Xie C, Lu X, Li P.
    BMC Plant Biol; 2022 Jul 08; 22(1):328. PubMed ID: 35799118
    [Abstract] [Full Text] [Related]

  • 9. QTL mapping analysis of maize plant type based on SNP molecular marker.
    Zhu W, Zhao Y, Liu J, Huang L, Lu X, Kang D.
    Cell Mol Biol (Noisy-le-grand); 2019 Feb 28; 65(2):18-27. PubMed ID: 30860467
    [Abstract] [Full Text] [Related]

  • 10. Dissecting tocopherols content in maize (Zea mays L.), using two segregating populations and high-density single nucleotide polymorphism markers.
    Shutu X, Dalong Z, Ye C, Yi Z, Shah T, Ali F, Qing L, Zhigang L, Weidong W, Jiansheng L, Xiaohong Y, Jianbing Y.
    BMC Plant Biol; 2012 Nov 02; 12():201. PubMed ID: 23122295
    [Abstract] [Full Text] [Related]

  • 11. Genetic dissection of yield-related traits and mid-parent heterosis for those traits in maize (Zea mays L.).
    Yi Q, Liu Y, Hou X, Zhang X, Li H, Zhang J, Liu H, Hu Y, Yu G, Li Y, Wang Y, Huang Y.
    BMC Plant Biol; 2019 Sep 09; 19(1):392. PubMed ID: 31500559
    [Abstract] [Full Text] [Related]

  • 12. QTL verification of grain protein content and its correlation with oil content by using connected RIL populations of high-oil maize.
    Yang GH, Dong YB, Li YL, Wang QL, Shi QL, Zhou Q.
    Genet Mol Res; 2014 Feb 14; 13(1):881-94. PubMed ID: 24615052
    [Abstract] [Full Text] [Related]

  • 13. Mapping quantitative trait loci associated with stem-related traits in maize (Zea mays L.).
    Shang Q, Zhang D, Li R, Wang K, Cheng Z, Zhou Z, Hao Z, Pan J, Li X, Shi L.
    Plant Mol Biol; 2020 Dec 14; 104(6):583-595. PubMed ID: 32901412
    [Abstract] [Full Text] [Related]

  • 14. Quantitative trait locus analysis for kernel width using maize recombinant inbred lines.
    Hui GQ, Wen GQ, Liu XH, Yang HP, Luo Q, Song HX, Wen L, Sun Y, Zhang HM.
    Genet Mol Res; 2015 Nov 19; 14(4):14496-502. PubMed ID: 26600508
    [Abstract] [Full Text] [Related]

  • 15. The genetic architecture of amino acids dissection by association and linkage analysis in maize.
    Deng M, Li D, Luo J, Xiao Y, Liu H, Pan Q, Zhang X, Jin M, Zhao M, Yan J.
    Plant Biotechnol J; 2017 Oct 19; 15(10):1250-1263. PubMed ID: 28218981
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  • 16. Identification of quantitative trait loci for kernel-related traits and the heterosis for these traits in maize (Zea mays L.).
    Liu Y, Yi Q, Hou X, Hu Y, Li Y, Yu G, Liu H, Zhang J, Huang Y.
    Mol Genet Genomics; 2020 Jan 19; 295(1):121-133. PubMed ID: 31511973
    [Abstract] [Full Text] [Related]

  • 17. Genetic mapping of QTLs controlling fatty acids provided insights into the genetic control of fatty acid synthesis pathway in peanut (Arachis hypogaea L.).
    Wang ML, Khera P, Pandey MK, Wang H, Qiao L, Feng S, Tonnis B, Barkley NA, Pinnow D, Holbrook CC, Culbreath AK, Varshney RK, Guo B.
    PLoS One; 2015 Jan 19; 10(4):e0119454. PubMed ID: 25849082
    [Abstract] [Full Text] [Related]

  • 18. Identification of QTLs associated with oil content and mapping FAD2 genes and their relative contribution to oil quality in peanut (Arachis hypogaea L.).
    Pandey MK, Wang ML, Qiao L, Feng S, Khera P, Wang H, Tonnis B, Barkley NA, Wang J, Holbrook CC, Culbreath AK, Varshney RK, Guo B.
    BMC Genet; 2014 Dec 10; 15():133. PubMed ID: 25491595
    [Abstract] [Full Text] [Related]

  • 19. Hotspot Regions of Quantitative Trait Loci and Candidate Genes for Ear-Related Traits in Maize: A Literature Review.
    Zhang X, Sun J, Zhang Y, Li J, Liu M, Li L, Li S, Wang T, Shaw RK, Jiang F, Fan X.
    Genes (Basel); 2023 Dec 21; 15(1):. PubMed ID: 38275597
    [Abstract] [Full Text] [Related]

  • 20. Characterization of QTL for oil content in maize kernel.
    Yang X, Ma H, Zhang P, Yan J, Guo Y, Song T, Li J.
    Theor Appl Genet; 2012 Oct 21; 125(6):1169-79. PubMed ID: 22669301
    [Abstract] [Full Text] [Related]


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