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Journal Abstract Search

143 related items for PubMed ID: 27707775

  • 21. Metabolic prediction of important agronomic traits in hybrid rice (Oryza sativa L.).
    Dan Z, Hu J, Zhou W, Yao G, Zhu R, Zhu Y, Huang W.
    Sci Rep; 2016 Feb 24; 6():21732. PubMed ID: 26907211
    [Abstract] [Full Text] [Related]

  • 22. Genome-Wide Association Study in Rice Revealed a Novel Gene in Determining Plant Height and Stem Development, by Encoding a WRKY Transcription Factor.
    Wei X, Zhou H, Xie D, Li J, Yang M, Chang T, Wang D, Hu L, Xie G, Wang J, Wang L.
    Int J Mol Sci; 2021 Jul 30; 22(15):. PubMed ID: 34360958
    [Abstract] [Full Text] [Related]

  • 23. Activities of fructan- and sucrose-metabolizing enzymes in wheat stems subjected to water stress during grain filling.
    Yang J, Zhang J, Wang Z, Zhu Q, Liu L.
    Planta; 2004 Dec 30; 220(2):331-43. PubMed ID: 15290295
    [Abstract] [Full Text] [Related]

  • 24. Genome-Wide Association Mapping for Yield and Yield-Related Traits in Rice (Oryza Sativa L.) Using SNPs Markers.
    Ashfaq M, Rasheed A, Zhu R, Ali M, Javed MA, Anwar A, Tabassum J, Shaheen S, Wu X.
    Genes (Basel); 2023 May 15; 14(5):. PubMed ID: 37239449
    [Abstract] [Full Text] [Related]

  • 25. Natural variation at qHd1 affects heading date acceleration at high temperatures with pleiotropism for yield traits in rice.
    Chen JY, Zhang HW, Zhang HL, Ying JZ, Ma LY, Zhuang JY.
    BMC Plant Biol; 2018 Jun 07; 18(1):112. PubMed ID: 29879910
    [Abstract] [Full Text] [Related]

  • 26. Genetic variation and association mapping for 12 agronomic traits in indica rice.
    Lu Q, Zhang M, Niu X, Wang S, Xu Q, Feng Y, Wang C, Deng H, Yuan X, Yu H, Wang Y, Wei X.
    BMC Genomics; 2015 Dec 16; 16():1067. PubMed ID: 26673149
    [Abstract] [Full Text] [Related]

  • 27. Sucrose transport and metabolism control carbon partitioning between stem and grain in rice.
    Mathan J, Singh A, Ranjan A.
    J Exp Bot; 2021 May 28; 72(12):4355-4372. PubMed ID: 33587747
    [Abstract] [Full Text] [Related]

  • 28. Phloem Unloading in Developing Rice Caryopses and its Contribution to Non-Structural Carbohydrate Translocation from Stems and Grain Yield Formation.
    Li G, Cui K, Hu Q, Wang W, Pan J, Zhang G, Shi Y, Nie L, Huang J, Peng S.
    Plant Cell Physiol; 2022 Oct 31; 63(10):1510-1525. PubMed ID: 35946132
    [Abstract] [Full Text] [Related]

  • 29. Biochemical and Transcriptome Analyses Reveal a Stronger Capacity for Photosynthate Accumulation in Low-Tillering Rice Varieties.
    Zhu M, Jiang S, Huang J, Li Z, Xu S, Liu S, He Y, Zhang Z.
    Int J Mol Sci; 2024 Jan 29; 25(3):. PubMed ID: 38338929
    [Abstract] [Full Text] [Related]

  • 30. Abscisic acid and the key enzymes and genes in sucrose-to-starch conversion in rice spikelets in response to soil drying during grain filling.
    Wang Z, Xu Y, Chen T, Zhang H, Yang J, Zhang J.
    Planta; 2015 May 29; 241(5):1091-107. PubMed ID: 25589060
    [Abstract] [Full Text] [Related]

  • 31. Non-structural carbohydrate pools in a tropical forest.
    Würth MK, Peláez-Riedl S, Wright SJ, Körner C.
    Oecologia; 2005 Mar 29; 143(1):11-24. PubMed ID: 15578227
    [Abstract] [Full Text] [Related]

  • 32. Activities of starch hydrolytic enzymes and sucrose-phosphate synthase in the stems of rice subjected to water stress during grain filling.
    Yang J, Zhang J, Wang Z, Zhu Q.
    J Exp Bot; 2001 Nov 29; 52(364):2169-79. PubMed ID: 11604456
    [Abstract] [Full Text] [Related]

  • 33. Utilization of Genetic Resources, Genetic Diversity and Genetic Variability for Selecting New Restorer Lines of Rice (Oryza sativa L.).
    Awad-Allah MMA, Shafie WWM, Alsubeie MS, Alatawi A, Safhi FA, ALshamrani SM, Albalawi DA, Al-Amrah H, Alshehri D, Alshegaihi RM, Basahi MA, Masrahi AS.
    Genes (Basel); 2022 Nov 27; 13(12):. PubMed ID: 36553494
    [Abstract] [Full Text] [Related]

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  • 35. Genome-wide association mapping for yield and other agronomic traits in an elite breeding population of tropical rice (Oryza sativa).
    Begum H, Spindel JE, Lalusin A, Borromeo T, Gregorio G, Hernandez J, Virk P, Collard B, McCouch SR.
    PLoS One; 2015 Nov 27; 10(3):e0119873. PubMed ID: 25785447
    [Abstract] [Full Text] [Related]

  • 36. Effects of the core heading date genes Hd1, Ghd7, DTH8, and PRR37 on yield-related traits in rice.
    Sun K, Zong W, Xiao D, Wu Z, Guo X, Li F, Song Y, Li S, Wei G, Hao Y, Xu B, Li W, Lin Z, Xie W, Liu YG, Guo J.
    Theor Appl Genet; 2023 Oct 18; 136(11):227. PubMed ID: 37851149
    [Abstract] [Full Text] [Related]

  • 37. InDel Marker Based Estimation of Multi-Gene Allele Contribution and Genetic Variations for Grain Size and Weight in Rice (Oryza sativa L.).
    Gull S, Haider Z, Gu H, Raza Khan RA, Miao J, Wenchen T, Uddin S, Ahmad I, Liang G.
    Int J Mol Sci; 2019 Sep 28; 20(19):. PubMed ID: 31569360
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  • 40. Genetic evaluation of recombinant inbred lines of rice (Oryza sativa L.) for grain zinc concentrations, yield related traits and identification of associated SSR markers.
    Bekele BD, Naveen GK, Rakhi S, Shashidhar HE.
    Pak J Biol Sci; 2013 Dec 01; 16(23):1714-21. PubMed ID: 24506038
    [Abstract] [Full Text] [Related]

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