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 *

190 related articles for article (PubMed ID: 36114452)

  • 41. QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.).
    Marathi B; Guleria S; Mohapatra T; Parsad R; Mariappan N; Kurungara VK; Atwal SS; Prabhu KV; Singh NK; Singh AK
    BMC Plant Biol; 2012 Aug; 12():137. PubMed ID: 22876968
    [TBL] [Abstract][Full Text] [Related]  

  • 42. 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]  

  • 43. Trait specific marker-based characterization and population structure analysis in rice (Oryza sativa L.) germplasm of Kashmir Himalayas.
    Pandita D; Mahajan R; Zargar SM; Nehvi FA; Dhekale B; Shafi F; Shah MU; Sofi NR; Husaini AM
    Mol Biol Rep; 2023 May; 50(5):4155-4163. PubMed ID: 36881341
    [TBL] [Abstract][Full Text] [Related]  

  • 44. AFLP-Based Analysis of Genetic Diversity, Population Structure, and Relationships with Agronomic Traits in Rice Germplasm from North Region of Iran and World Core Germplasm Set.
    Sorkheh K; Masaeli M; Chaleshtori MH; Adugna A; Ercisli S
    Biochem Genet; 2016 Apr; 54(2):177-93. PubMed ID: 26762294
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Generation and characterization of low phytic acid germplasm in rice (Oryza sativa L.).
    Liu QL; Xu XH; Ren XL; Fu HW; Wu DX; Shu QY
    Theor Appl Genet; 2007 Mar; 114(5):803-14. PubMed ID: 17219209
    [TBL] [Abstract][Full Text] [Related]  

  • 46. OsSPL13 controls grain size in cultivated rice.
    Si L; Chen J; Huang X; Gong H; Luo J; Hou Q; Zhou T; Lu T; Zhu J; Shangguan Y; Chen E; Gong C; Zhao Q; Jing Y; Zhao Y; Li Y; Cui L; Fan D; Lu Y; Weng Q; Wang Y; Zhan Q; Liu K; Wei X; An K; An G; Han B
    Nat Genet; 2016 Apr; 48(4):447-56. PubMed ID: 26950093
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Variation of grain quality characters and marker-trait association in rice (
    Suman K; Madhubabu P; Rathod R; Sanjeeva Rao D; Rojarani A; Prashant S; Subbarao LV; Ravindrababu V; Neeraja CN
    J Genet; 2020; 99():. PubMed ID: 32089524
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Genome wide association mapping of yield and various desirable agronomic traits in Rice.
    Ashfaq M; Rasheed A; Sajjad M; Ali M; Rasool B; Javed MA; Allah SU; Shaheen S; Anwar A; Ahmad MS; Mubashar U
    Mol Biol Rep; 2022 Dec; 49(12):11371-11383. PubMed ID: 35939183
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Natural variation in a molybdate transporter controls grain molybdenum concentration in rice.
    Huang XY; Liu H; Zhu YF; Pinson SRM; Lin HX; Guerinot ML; Zhao FJ; Salt DE
    New Phytol; 2019 Mar; 221(4):1983-1997. PubMed ID: 30339276
    [TBL] [Abstract][Full Text] [Related]  

  • 50. A Novel Tiller Angle Gene, TAC3, together with TAC1 and D2 Largely Determine the Natural Variation of Tiller Angle in Rice Cultivars.
    Dong H; Zhao H; Xie W; Han Z; Li G; Yao W; Bai X; Hu Y; Guo Z; Lu K; Yang L; Xing Y
    PLoS Genet; 2016 Nov; 12(11):e1006412. PubMed ID: 27814357
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Association Analysis of Three Diverse Rice (
    Huggins TD; Chen MH; Fjellstrom RG; Jackson AK; McClung AM; Edwards JD
    Plant Genome; 2019 Mar; 12(1):. PubMed ID: 30951092
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Identification and allele mining of new candidate genes underlying rice grain weight and grain shape by genome-wide association study.
    Niu Y; Chen T; Wang C; Chen K; Shen C; Chen H; Zhu S; Wu Z; Zheng T; Zhang F; Xu J
    BMC Genomics; 2021 Aug; 22(1):602. PubMed ID: 34362301
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Genome-Wide Association Study of Grain Appearance and Milling Quality in a Worldwide Collection of Indica Rice Germplasm.
    Qiu X; Pang Y; Yuan Z; Xing D; Xu J; Dingkuhn M; Li Z; Ye G
    PLoS One; 2015; 10(12):e0145577. PubMed ID: 26714258
    [TBL] [Abstract][Full Text] [Related]  

  • 54. 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]  

  • 55. 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]  

  • 56. Introgression of a functional epigenetic OsSPL14
    Kim SR; Ramos JM; Hizon RJM; Ashikari M; Virk PS; Torres EA; Nissila E; Jena KK
    Sci Rep; 2018 Mar; 8(1):3833. PubMed ID: 29497052
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Opportunities of marker-assisted selection for rice fragrance through marker-trait association analysis of microsatellites and gene-based markers.
    Golestan Hashemi FS; Rafii MY; Razi Ismail M; Mohamed MT; Rahim HA; Latif MA; Aslani F
    Plant Biol (Stuttg); 2015 Sep; 17(5):953-61. PubMed ID: 25865409
    [TBL] [Abstract][Full Text] [Related]  

  • 58. CRISPR/Cas9 Guided Mutagenesis of
    Usman B; Zhao N; Nawaz G; Qin B; Liu F; Liu Y; Li R
    Int J Mol Sci; 2021 Mar; 22(6):. PubMed ID: 33810044
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Gene based markers improve precision of genome-wide association studies and accuracy of genomic predictions in rice breeding.
    Anilkumar C; Muhammed Azharudheen TP; Sah RP; Sunitha NC; Devanna BN; Marndi BC; Patra BC
    Heredity (Edinb); 2023 May; 130(5):335-345. PubMed ID: 36792661
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Genetic analysis for rice grain quality traits in the YVB stable variant line using RAD-seq.
    Peng Y; Hu Y; Mao B; Xiang H; Shao Y; Pan Y; Sheng X; Li Y; Ni X; Xia Y; Zhang G; Yuan L; Quan Z; Zhao B
    Mol Genet Genomics; 2016 Feb; 291(1):297-307. PubMed ID: 26334612
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.