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Journal Abstract Search

177 related items for PubMed ID: 23987653

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  • 2. Novel Imaging Techniques to Analyze Panicle Architecture.
    Pasion E, Aguila R, Sreenivasulu N, Anacleto R.
    Methods Mol Biol; 2019; 1892():75-88. PubMed ID: 30397800
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  • 4. PI-Plat: a high-resolution image-based 3D reconstruction method to estimate growth dynamics of rice inflorescence traits.
    Sandhu J, Zhu F, Paul P, Gao T, Dhatt BK, Ge Y, Staswick P, Yu H, Walia H.
    Plant Methods; 2019; 15():162. PubMed ID: 31889986
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  • 7. Heterosis analysis and underlying molecular regulatory mechanism in a wide-compatible neo-tetraploid rice line with long panicles.
    Ghaleb MAA, Li C, Shahid MQ, Yu H, Liang J, Chen R, Wu J, Liu X.
    BMC Plant Biol; 2020 Feb 21; 20(1):83. PubMed ID: 32085735
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  • 8. Fine mapping of a quantitative trait locus for grain number per panicle from wild rice (Oryza rufipogon Griff.).
    Tian F, Zhu Z, Zhang B, Tan L, Fu Y, Wang X, Sun CQ.
    Theor Appl Genet; 2006 Aug 21; 113(4):619-29. PubMed ID: 16770601
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  • 11. Panicle-Cloud: An Open and AI-Powered Cloud Computing Platform for Quantifying Rice Panicles from Drone-Collected Imagery to Enable the Classification of Yield Production in Rice.
    Teng Z, Chen J, Wang J, Wu S, Chen R, Lin Y, Shen L, Jackson R, Zhou J, Yang C.
    Plant Phenomics; 2023 Aug 21; 5():0105. PubMed ID: 37850120
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  • 12. Genome-wide expression quantitative trait locus studies facilitate isolation of causal genes controlling panicle structure.
    Wang F, Yano K, Nagamatsu S, Inari-Ikeda M, Koketsu E, Hirano K, Aya K, Matsuoka M.
    Plant J; 2020 Jul 21; 103(1):266-278. PubMed ID: 32072700
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  • 15. A mathematical model of phloem sucrose transport as a new tool for designing rice panicle structure for high grain yield.
    Seki M, Feugier FG, Song XJ, Ashikari M, Nakamura H, Ishiyama K, Yamaya T, Inari-Ikeda M, Kitano H, Satake A.
    Plant Cell Physiol; 2015 Apr 21; 56(4):605-19. PubMed ID: 25516572
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  • 19. 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 21; 131(3):637-648. PubMed ID: 29299612
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