These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

192 related articles for article (PubMed ID: 32797075)

  • 1. Identify QTLs and candidate genes underlying source-, sink-, and grain yield-related traits in rice by integrated analysis of bi-parental and natural populations.
    Wang Y; Wang J; Zhai L; Liang C; Chen K; Xu J
    PLoS One; 2020; 15(8):e0237774. PubMed ID: 32797075
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Genetic mechanisms underlying yield potential in the rice high-yielding cultivar Takanari, based on reciprocal chromosome segment substitution lines.
    Takai T; Ikka T; Kondo K; Nonoue Y; Ono N; Arai-Sanoh Y; Yoshinaga S; Nakano H; Yano M; Kondo M; Yamamoto T
    BMC Plant Biol; 2014 Nov; 14():295. PubMed ID: 25404368
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Enhanced Expression of QTL
    Fu X; Xu J; Zhou M; Chen M; Shen L; Li T; Zhu Y; Wang J; Hu J; Zhu L; Gao Z; Dong G; Guo L; Ren D; Chen G; Lin J; Qian Q; Zhang G
    Int J Mol Sci; 2019 Feb; 20(4):. PubMed ID: 30781568
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Genetic Analysis of Agronomic Traits and Grain Iron and Zinc Concentrations in a Doubled Haploid Population of Rice (Oryza sativa L.).
    Calayugan MIC; Formantes AK; Amparado A; Descalsota-Empleo GI; Nha CT; Inabangan-Asilo MA; Swe ZM; Hernandez JE; Borromeo TH; Lalusin AG; Mendioro MS; Diaz MGQ; Viña CBD; Reinke R; Swamy BPM
    Sci Rep; 2020 Feb; 10(1):2283. PubMed ID: 32042046
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Genome wide screening and comparative genome analysis for Meta-QTLs, ortho-MQTLs and candidate genes controlling yield and yield-related traits in rice.
    Khahani B; Tavakol E; Shariati V; Fornara F
    BMC Genomics; 2020 Apr; 21(1):294. PubMed ID: 32272882
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Genome wide association mapping for grain shape traits in indica rice.
    Feng Y; Lu Q; Zhai R; Zhang M; Xu Q; Yang Y; Wang S; Yuan X; Yu H; Wang Y; Wei X
    Planta; 2016 Oct; 244(4):819-30. PubMed ID: 27198135
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Exploring genetic architecture of grain yield and quality traits in a 16-way indica by japonica rice MAGIC global population.
    Zaw H; Raghavan C; Pocsedio A; Swamy BPM; Jubay ML; Singh RK; Bonifacio J; Mauleon R; Hernandez JE; Mendioro MS; Gregorio GB; Leung H
    Sci Rep; 2019 Dec; 9(1):19605. PubMed ID: 31862941
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Unraveling candidate genomic regions responsible for delayed leaf senescence in rice.
    Singh UM; Sinha P; Dixit S; Abbai R; Venkateshwarlu C; Chitikineni A; Singh VK; Varshney RK; Kumar A
    PLoS One; 2020; 15(10):e0240591. PubMed ID: 33057376
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Characterization of QTLs for harvest index and source-sink characters in a DH population of rice (Oryza sativa L.).
    Mao BB; Cai WJ; Zhang ZH; Hu ZL; Li P; Zhu LH; Zhu YG
    Yi Chuan Xue Bao; 2003 Dec; 30(12):1118-26. PubMed ID: 14986429
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dissection of the qTGW1.1 region into two tightly-linked minor QTLs having stable effects for grain weight in rice.
    Zhang HW; Fan YY; Zhu YJ; Chen JY; Yu SB; Zhuang JY
    BMC Genet; 2016 Jun; 17(1):98. PubMed ID: 27363861
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Validation of Yield Component Traits Identified by Genome-Wide Association Mapping in a
    Eizenga GC; Jia MH; Jackson AK; Boykin DL; Ali ML; Shakiba E; Tran NT; McCouch SR; Edwards JD
    Plant Genome; 2019 Mar; 12(1):. PubMed ID: 30951093
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Genetic Dissection of Grain Nutritional Traits and Leaf Blight Resistance in Rice.
    Descalsota-Empleo GI; Noraziyah AAS; Navea IP; Chung C; Dwiyanti MS; Labios RJD; Ikmal AM; Juanillas VM; Inabangan-Asilo MA; Amparado A; Reinke R; Cruz CMV; Chin JH; Swamy BPM
    Genes (Basel); 2019 Jan; 10(1):. PubMed ID: 30626141
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mapping QTLs for improving grain yield using the USDA rice mini-core collection.
    Li X; Yan W; Agrama H; Jia L; Shen X; Jackson A; Moldenhauer K; Yeater K; McClung A; Wu D
    Planta; 2011 Aug; 234(2):347-61. PubMed ID: 21479810
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Genetic dissection of heterosis of indica-japonica by introgression line, recombinant inbred line and their testcross populations.
    Yang W; Zhang F; Zafar S; Wang J; Lu H; Naveed S; Lou J; Xu J
    Sci Rep; 2021 May; 11(1):10265. PubMed ID: 33986411
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Traits and QTLs for development of dry direct-seeded rainfed rice varieties.
    Sandhu N; Torres RO; Sta Cruz MT; Maturan PC; Jain R; Kumar A; Henry A
    J Exp Bot; 2015 Jan; 66(1):225-44. PubMed ID: 25336682
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Fine mapping of a quantitative trait locus for spikelet number per panicle in a new plant type rice and evaluation of a near-isogenic line for grain productivity.
    Sasaki K; Fujita D; Koide Y; Lumanglas PD; Gannaban RB; Tagle AG; Obara M; Fukuta Y; Kobayashi N; Ishimaru T
    J Exp Bot; 2017 May; 68(11):2693-2702. PubMed ID: 28582550
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Genetic mapping for grain quality and yield-attributed traits in Basmati rice using SSR-based genetic map.
    Sharma M; Gangurde SS; Salgotra RK; Kumar B; Singh AK; Pandey MK
    J Biosci; 2021; 46():. PubMed ID: 34148873
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Construction of introgression lines carrying wild rice (Oryza rufipogon Griff.) segments in cultivated rice (Oryza sativa L.) background and characterization of introgressed segments associated with yield-related traits.
    Tian F; Li DJ; Fu Q; Zhu ZF; Fu YC; Wang XK; Sun CQ
    Theor Appl Genet; 2006 Feb; 112(3):570-80. PubMed ID: 16331476
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Quantitative trait loci identification and meta-analysis for rice panicle-related traits.
    Wu Y; Huang M; Tao X; Guo T; Chen Z; Xiao W
    Mol Genet Genomics; 2016 Oct; 291(5):1927-40. PubMed ID: 27380139
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of Quantitative Trait Loci Associated with Nutrient Use Efficiency Traits, Using SNP Markers in an Early Backcross Population of Rice (
    Jewel ZA; Ali J; Mahender A; Hernandez J; Pang Y; Li Z
    Int J Mol Sci; 2019 Feb; 20(4):. PubMed ID: 30791412
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.