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Journal Abstract Search

296 related items for PubMed ID: 26907211

  • 1. 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]

  • 2. Hybrid breeding of rice via genomic selection.
    Cui Y, Li R, Li G, Zhang F, Zhu T, Zhang Q, Ali J, Li Z, Xu S.
    Plant Biotechnol J; 2020 Jan 24; 18(1):57-67. PubMed ID: 31124256
    [Abstract] [Full Text] [Related]

  • 3. Genomic architecture of heterosis for yield traits in rice.
    Huang X, Yang S, Gong J, Zhao Q, Feng Q, Zhan Q, Zhao Y, Li W, Cheng B, Xia J, Chen N, Huang T, Zhang L, Fan D, Chen J, Zhou C, Lu Y, Weng Q, Han B.
    Nature; 2016 Sep 29; 537(7622):629-633. PubMed ID: 27602511
    [Abstract] [Full Text] [Related]

  • 4. Metabolome-based prediction of yield heterosis contributes to the breeding of elite rice.
    Dan Z, Chen Y, Zhao W, Wang Q, Huang W.
    Life Sci Alliance; 2020 Jan 29; 3(1):. PubMed ID: 31836628
    [Abstract] [Full Text] [Related]

  • 5. Genome-wide association analyses reveal the genetic basis of combining ability in rice.
    Chen J, Zhou H, Xie W, Xia D, Gao G, Zhang Q, Wang G, Lian X, Xiao J, He Y.
    Plant Biotechnol J; 2019 Nov 29; 17(11):2211-2222. PubMed ID: 31004558
    [Abstract] [Full Text] [Related]

  • 6. Transcriptome and Metabolome Analysis Provides Insights into the Heterosis of Yield and Quality Traits in Two Hybrid Rice Varieties (Oryza sativa L.).
    Zhou D, Zhou X, Sun C, Tang G, Liu L, Chen L, He H, Xiong Q.
    Int J Mol Sci; 2022 Oct 26; 23(21):. PubMed ID: 36361748
    [Abstract] [Full Text] [Related]

  • 7. Multi-omics-based prediction of hybrid performance in canola.
    Knoch D, Werner CR, Meyer RC, Riewe D, Abbadi A, Lücke S, Snowdon RJ, Altmann T.
    Theor Appl Genet; 2021 Apr 26; 134(4):1147-1165. PubMed ID: 33523261
    [Abstract] [Full Text] [Related]

  • 8. Metabolomic prediction of yield in hybrid rice.
    Xu S, Xu Y, Gong L, Zhang Q.
    Plant J; 2016 Oct 26; 88(2):219-227. PubMed ID: 27311694
    [Abstract] [Full Text] [Related]

  • 9. Genomic analysis of hybrid rice varieties reveals numerous superior alleles that contribute to heterosis.
    Huang X, Yang S, Gong J, Zhao Y, Feng Q, Gong H, Li W, Zhan Q, Cheng B, Xia J, Chen N, Hao Z, Liu K, Zhu C, Huang T, Zhao Q, Zhang L, Fan D, Zhou C, Lu Y, Weng Q, Wang ZX, Li J, Han B.
    Nat Commun; 2015 Feb 05; 6():6258. PubMed ID: 25651972
    [Abstract] [Full Text] [Related]

  • 10. Progress in research and development on hybrid rice: a super-domesticate in China.
    Cheng SH, Zhuang JY, Fan YY, Du JH, Cao LY.
    Ann Bot; 2007 Nov 05; 100(5):959-66. PubMed ID: 17704538
    [Abstract] [Full Text] [Related]

  • 11. A metabolome-based core hybridisation strategy for the prediction of rice grain weight across environments.
    Dan Z, Chen Y, Xu Y, Huang J, Huang J, Hu J, Yao G, Zhu Y, Huang W.
    Plant Biotechnol J; 2019 May 05; 17(5):906-913. PubMed ID: 30321482
    [Abstract] [Full Text] [Related]

  • 12. Balance between a higher degree of heterosis and increased reproductive isolation: a strategic design for breeding inter-subspecific hybrid rice.
    Dan Z, Liu P, Huang W, Zhou W, Yao G, Hu J, Zhu R, Lu B, Zhu Y.
    PLoS One; 2014 May 05; 9(3):e93122. PubMed ID: 24667442
    [Abstract] [Full Text] [Related]

  • 13. Predicting rice hybrid performance using univariate and multivariate GBLUP models based on North Carolina mating design II.
    Wang X, Li L, Yang Z, Zheng X, Yu S, Xu C, Hu Z.
    Heredity (Edinb); 2017 Mar 05; 118(3):302-310. PubMed ID: 27649618
    [Abstract] [Full Text] [Related]

  • 14. Development of a wide population of chromosome single-segment substitution lines in the genetic background of an elite cultivar of rice (Oryza sativa L.).
    Xi ZY, He FH, Zeng RZ, Zhang ZM, Ding XH, Li WT, Zhang GQ.
    Genome; 2006 May 05; 49(5):476-84. PubMed ID: 16767172
    [Abstract] [Full Text] [Related]

  • 15. Cytoplasmic and nuclear genome variations of rice hybrids and their parents inform the trajectory and strategy of hybrid rice breeding.
    Gu Z, Zhu Z, Li Z, Zhan Q, Feng Q, Zhou C, Zhao Q, Zhao Y, Peng X, Dai B, Sun R, Li Y, Lu H, Zhang L, Huang T, Gong J, Lv D, Huang X, Han B.
    Mol Plant; 2021 Dec 06; 14(12):2056-2071. PubMed ID: 34390871
    [Abstract] [Full Text] [Related]

  • 16. Genomic Prediction of Yield Traits in Single-Cross Hybrid Rice (Oryza sativa L.).
    Labroo MR, Ali J, Aslam MU, de Asis EJ, Dela Paz MA, Sevilla MA, Lipka AE, Studer AJ, Rutkoski JE.
    Front Genet; 2021 Dec 06; 12():692870. PubMed ID: 34276796
    [Abstract] [Full Text] [Related]

  • 17. 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]

  • 18. Genome-wide dissection of heterosis for yield traits in two-line hybrid rice populations.
    Zhen G, Qin P, Liu KY, Nie DY, Yang YZ, Deng XW, He H.
    Sci Rep; 2017 Aug 09; 7(1):7635. PubMed ID: 28794433
    [Abstract] [Full Text] [Related]

  • 19. OsPRR37 and Ghd7 are the major genes for general combining ability of DTH, PH and SPP in rice.
    Liu C, Song G, Zhou Y, Qu X, Guo Z, Liu Z, Jiang D, Yang D.
    Sci Rep; 2015 Aug 04; 5():12803. PubMed ID: 26238949
    [Abstract] [Full Text] [Related]

  • 20. Predicting hybrid performance in rice using genomic best linear unbiased prediction.
    Xu S, Zhu D, Zhang Q.
    Proc Natl Acad Sci U S A; 2014 Aug 26; 111(34):12456-61. PubMed ID: 25114224
    [Abstract] [Full Text] [Related]

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