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 *

233 related articles for article (PubMed ID: 30626329)

  • 41. Fine mapping and causal gene identification of a novel QTL for early flowering by QTL-seq, Target-seq and RNA-seq in spring oilseed rape.
    Tang J; Liu H; Quan Y; Yao Y; Li K; Tang G; Du D
    Theor Appl Genet; 2023 Mar; 136(4):80. PubMed ID: 36952057
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Mapping of a major QTL controlling plant height using a high-density genetic map and QTL-seq methods based on whole-genome resequencing in Brassica napus.
    Dong Z; Alam MK; Xie M; Yang L; Liu J; Helal MMU; Huang J; Cheng X; Liu Y; Tong C; Zhao C; Liu S
    G3 (Bethesda); 2021 Jul; 11(7):. PubMed ID: 33836054
    [TBL] [Abstract][Full Text] [Related]  

  • 43. RNA-seq transcriptome analysis of the immature seeds of two Brassica napus lines with extremely different thousand-seed weight to identify the candidate genes related to seed weight.
    Geng X; Dong N; Wang Y; Li G; Wang L; Guo X; Li J; Wen Z; Wei W
    PLoS One; 2018; 13(1):e0191297. PubMed ID: 29381708
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Genome-wide transcriptomic analysis uncovers the molecular basis underlying early flowering and apetalous characteristic in Brassica napus L.
    Yu K; Wang X; Chen F; Chen S; Peng Q; Li H; Zhang W; Hu M; Chu P; Zhang J; Guan R
    Sci Rep; 2016 Jul; 6():30576. PubMed ID: 27460760
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Quantitative Trait Locus Mapping and Identification of Candidate Genes Controlling Flowering Time in
    Xu Y; Zhang B; Ma N; Liu X; Qin M; Zhang Y; Wang K; Guo N; Zuo K; Liu X; Zhang M; Huang Z; Xu A
    Front Plant Sci; 2020; 11():626205. PubMed ID: 33613591
    [TBL] [Abstract][Full Text] [Related]  

  • 46. QTL mapping based on the embryo and maternal genetic systems for non-essential amino acids in rapeseed (Brassica napus L.) meal.
    Wen J; Xu JF; Long Y; Wu JG; Xu HM; Meng JL; Shi CH
    J Sci Food Agric; 2016 Jan; 96(2):465-73. PubMed ID: 25645377
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Constructing a dense genetic linkage map and mapping QTL for the traits of flower development in Brassica carinata.
    Zou J; Raman H; Guo S; Hu D; Wei Z; Luo Z; Long Y; Shi W; Fu Z; Du D; Meng J
    Theor Appl Genet; 2014 Jul; 127(7):1593-605. PubMed ID: 24824567
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Genetic and gene expression analysis of flowering time regulation by light quality in lentil.
    Yuan HY; Caron CT; Ramsay L; Fratini R; de la Vega MP; Vandenberg A; Weller JL; Bett KE
    Ann Bot; 2021 Sep; 128(4):481-496. PubMed ID: 34185828
    [TBL] [Abstract][Full Text] [Related]  

  • 49. QTL identification of flowering time at three different latitudes reveals homeologous genomic regions that control flowering in soybean.
    Liu W; Kim MY; Kang YJ; Van K; Lee YH; Srinives P; Yuan DL; Lee SH
    Theor Appl Genet; 2011 Aug; 123(4):545-53. PubMed ID: 21660531
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Identification of QTLs for resistance to sclerotinia stem rot and BnaC.IGMT5.a as a candidate gene of the major resistant QTL SRC6 in Brassica napus.
    Wu J; Cai G; Tu J; Li L; Liu S; Luo X; Zhou L; Fan C; Zhou Y
    PLoS One; 2013; 8(7):e67740. PubMed ID: 23844081
    [TBL] [Abstract][Full Text] [Related]  

  • 51. The Brassica rapa FLC homologue FLC2 is a key regulator of flowering time, identified through transcriptional co-expression networks.
    Xiao D; Zhao JJ; Hou XL; Basnet RK; Carpio DP; Zhang NW; Bucher J; Lin K; Cheng F; Wang XW; Bonnema G
    J Exp Bot; 2013 Nov; 64(14):4503-16. PubMed ID: 24078668
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Dissecting the genetic architecture of agronomic traits in multiple segregating populations in rapeseed (Brassica napus L.).
    Würschum T; Liu W; Maurer HP; Abel S; Reif JC
    Theor Appl Genet; 2012 Jan; 124(1):153-61. PubMed ID: 21898051
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Validation of QTL mapping and transcriptome profiling for identification of candidate genes associated with nitrogen stress tolerance in sorghum.
    Gelli M; Konda AR; Liu K; Zhang C; Clemente TE; Holding DR; Dweikat IM
    BMC Plant Biol; 2017 Jul; 17(1):123. PubMed ID: 28697783
    [TBL] [Abstract][Full Text] [Related]  

  • 54. QTL analysis and QTL-based prediction of flowering phenology in recombinant inbred lines of barley.
    Yin X; Struik PC; van Eeuwijk FA; Stam P; Tang J
    J Exp Bot; 2005 Mar; 56(413):967-76. PubMed ID: 15710636
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Quantitative trait analysis of seed yield and other complex traits in hybrid spring rapeseed (Brassica napus L.): 1. Identification of genomic regions from winter germplasm.
    Quijada PA; Udall JA; Lambert B; Osborn TC
    Theor Appl Genet; 2006 Aug; 113(3):549-61. PubMed ID: 16767447
    [TBL] [Abstract][Full Text] [Related]  

  • 56. GWAS hints at pleiotropic roles for FLOWERING LOCUS T in flowering time and yield-related traits in canola.
    Raman H; Raman R; Qiu Y; Yadav AS; Sureshkumar S; Borg L; Rohan M; Wheeler D; Owen O; Menz I; Balasubramanian S
    BMC Genomics; 2019 Aug; 20(1):636. PubMed ID: 31387521
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Detection of QTLs for flowering date in three mapping populations of the model legume species Medicago truncatula.
    Pierre JB; Huguet T; Barre P; Huyghe C; Julier B
    Theor Appl Genet; 2008 Aug; 117(4):609-20. PubMed ID: 18553068
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Quantitative trait loci influencing days to flowering and plant height in cowpea, Vigna unguiculata (L.) Walp.
    Angira B; Zhang Y; Scheuring CF; Zhang Y; Masor L; Coleman JR; Liu YH; Singh BB; Zhang HB; Hays DB; Zhang M
    Mol Genet Genomics; 2020 Sep; 295(5):1187-1195. PubMed ID: 32476049
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Integrated QTL and eQTL Mapping Provides Insights and Candidate Genes for Fatty Acid Composition, Flowering Time, and Growth Traits in a F
    Li R; Jeong K; Davis JT; Kim S; Lee S; Michelmore RW; Kim S; Maloof JN
    Front Plant Sci; 2018; 9():1632. PubMed ID: 30483289
    [No Abstract]   [Full Text] [Related]  

  • 60. Multi-environment QTL studies suggest a role for cysteine-rich protein kinase genes in quantitative resistance to blackleg disease in Brassica napus.
    Larkan NJ; Raman H; Lydiate DJ; Robinson SJ; Yu F; Barbulescu DM; Raman R; Luckett DJ; Burton W; Wratten N; Salisbury PA; Rimmer SR; Borhan MH
    BMC Plant Biol; 2016 Aug; 16(1):183. PubMed ID: 27553246
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.