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Journal Abstract Search

243 related items for PubMed ID: 23358861

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  • 3. 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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  • 4. Breeding maize for silage and biofuel production, an illustration of a step forward with the genome sequence.
    Barrière Y, Courtial A, Chateigner-Boutin AL, Denoue D, Grima-Pettenati J.
    Plant Sci; 2016 Jan 03; 242():310-329. PubMed ID: 26566848
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  • 5. 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 03; 104(6):583-595. PubMed ID: 32901412
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  • 6. Genome-Wide Detection of Major and Epistatic Effect QTLs for Seed Protein and Oil Content in Soybean Under Multiple Environments Using High-Density Bin Map.
    Karikari B, Li S, Bhat JA, Cao Y, Kong J, Yang J, Gai J, Zhao T.
    Int J Mol Sci; 2019 Feb 23; 20(4):. PubMed ID: 30813455
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  • 7. 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
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  • 8. 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
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  • 9. Identification of QTL for maize grain yield and kernel-related traits.
    Yang C, Zhang L, Jia A, Rong T.
    J Genet; 2016 Jun 12; 95(2):239-47. PubMed ID: 27350665
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  • 12. 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
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  • 14. A systems biology approach uncovers a gene co-expression network associated with cell wall degradability in maize.
    Cuello C, Baldy A, Brunaud V, Joets J, Delannoy E, Jacquemot MP, Botran L, Griveau Y, Guichard C, Soubigou-Taconnat L, Martin-Magniette ML, Leroy P, Méchin V, Reymond M, Coursol S.
    PLoS One; 2019 Sep 30; 14(12):e0227011. PubMed ID: 31891625
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  • 15. Identification and introgression of QTLs implicated in resistance to sorghum downy mildew (Peronosclerospora sorghi (Weston and Uppal) C. G. Shaw) in maize through marker-assisted selection.
    Lohithaswa HC, Jyothi K, Sunil Kumar KR, Puttaramanaik, Hittalmani S.
    J Genet; 2015 Dec 30; 94(4):741-8. PubMed ID: 26690530
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  • 16. High-density linkage map construction and QTL analyses for fiber quality, yield and morphological traits using CottonSNP63K array in upland cotton (Gossypium hirsutum L.).
    Zhang K, Kuraparthy V, Fang H, Zhu L, Sood S, Jones DC.
    BMC Genomics; 2019 Nov 21; 20(1):889. PubMed ID: 31771502
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  • 18. Genetic mapping of maize stripe disease resistance from the Mascarene source.
    Dintinger J, Verger D, Caiveau S, Risterucci AM, Gilles J, Chiroleu F, Courtois B, Reynaud B, Hamon P.
    Theor Appl Genet; 2005 Jul 21; 111(2):347-59. PubMed ID: 15912344
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  • 20. Detection of quantitative trait loci for ear row number in F2 populations of maize.
    Yang C, Liu J, Rong TZ.
    Genet Mol Res; 2015 Nov 13; 14(4):14229-38. PubMed ID: 26600480
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