BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

422 related articles for article (PubMed ID: 31226200)

  • 1. Unraveling the genetic architecture of grain size in einkorn wheat through linkage and homology mapping and transcriptomic profiling.
    Yu K; Liu D; Chen Y; Wang D; Yang W; Yang W; Yin L; Zhang C; Zhao S; Sun J; Liu C; Zhang A
    J Exp Bot; 2019 Sep; 70(18):4671-4688. PubMed ID: 31226200
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development of a High-Density SNP-Based Linkage Map and Detection of QTL for β-Glucans, Protein Content, Grain Yield per Spike and Heading Time in Durum Wheat.
    Marcotuli I; Gadaleta A; Mangini G; Signorile AM; Zacheo SA; Blanco A; Simeone R; Colasuonno P
    Int J Mol Sci; 2017 Jun; 18(6):. PubMed ID: 28635630
    [TBL] [Abstract][Full Text] [Related]  

  • 3. High-density genetic linkage map construction and QTL mapping of grain shape and size in the wheat population Yanda1817 × Beinong6.
    Wu QH; Chen YX; Zhou SH; Fu L; Chen JJ; Xiao Y; Zhang D; Ouyang SH; Zhao XJ; Cui Y; Zhang DY; Liang Y; Wang ZZ; Xie JZ; Qin JX; Wang GX; Li DL; Huang YL; Yu MH; Lu P; Wang LL; Wang L; Wang H; Dang C; Li J; Zhang Y; Peng HR; Yuan CG; You MS; Sun QX; Wang JR; Wang LX; Luo MC; Han J; Liu ZY
    PLoS One; 2015; 10(2):e0118144. PubMed ID: 25675376
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development of an integrated linkage map of einkorn wheat and its application for QTL mapping and genome sequence anchoring.
    Yu K; Liu D; Wu W; Yang W; Sun J; Li X; Zhan K; Cui D; Ling H; Liu C; Zhang A
    Theor Appl Genet; 2017 Jan; 130(1):53-70. PubMed ID: 27659843
    [TBL] [Abstract][Full Text] [Related]  

  • 5. High-resolution detection of quantitative trait loci for seven important yield-related traits in wheat (Triticum aestivum L.) using a high-density SLAF-seq genetic map.
    Li T; Li Q; Wang J; Yang Z; Tang Y; Su Y; Zhang J; Qiu X; Pu X; Pan Z; Zhang H; Liang J; Liu Z; Li J; Yan W; Yu M; Long H; Wei Y; Deng G
    BMC Genom Data; 2022 May; 23(1):37. PubMed ID: 35562674
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Genetic dissection of wheat panicle traits using linkage analysis and a genome-wide association study.
    Liu K; Sun X; Ning T; Duan X; Wang Q; Liu T; An Y; Guan X; Tian J; Chen J
    Theor Appl Genet; 2018 May; 131(5):1073-1090. PubMed ID: 29470622
    [TBL] [Abstract][Full Text] [Related]  

  • 7. High-density genetic map construction and QTLs analysis of grain yield-related traits in sesame (Sesamum indicum L.) based on RAD-Seq techonology.
    Wu K; Liu H; Yang M; Tao Y; Ma H; Wu W; Zuo Y; Zhao Y
    BMC Plant Biol; 2014 Oct; 14():274. PubMed ID: 25300176
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Mapping QTLs for grain yield components in wheat under heat stress.
    Bhusal N; Sarial AK; Sharma P; Sareen S
    PLoS One; 2017; 12(12):e0189594. PubMed ID: 29261718
    [TBL] [Abstract][Full Text] [Related]  

  • 9. High-density linkage map construction and QTL analyses for fiber quality, yield and morphological traits using CottonSNP63K array in upland cotton (Gossypium hirsutum L.).
    Zhang K; Kuraparthy V; Fang H; Zhu L; Sood S; Jones DC
    BMC Genomics; 2019 Nov; 20(1):889. PubMed ID: 31771502
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Large-scale integration of meta-QTL and genome-wide association study discovers the genomic regions and candidate genes for yield and yield-related traits in bread wheat.
    Yang Y; Amo A; Wei D; Chai Y; Zheng J; Qiao P; Cui C; Lu S; Chen L; Hu YG
    Theor Appl Genet; 2021 Sep; 134(9):3083-3109. PubMed ID: 34142166
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Unraveling the genetic basis of grain number-related traits in a wheat-Agropyron cristatum introgressed line through high-resolution linkage mapping.
    Xu YF; Ma FF; Zhang JP; Liu H; Li LH; An DG
    BMC Plant Biol; 2023 Nov; 23(1):563. PubMed ID: 37964231
    [TBL] [Abstract][Full Text] [Related]  

  • 12. High-resolution mapping of rachis nodes per rachis, a critical determinant of grain yield components in wheat.
    Voss-Fels KP; Keeble-Gagnère G; Hickey LT; Tibbits J; Nagornyy S; Hayden MJ; Pasam RK; Kant S; Friedt W; Snowdon RJ; Appels R; Wittkop B
    Theor Appl Genet; 2019 Sep; 132(9):2707-2719. PubMed ID: 31254025
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Genome wide genetic dissection of wheat quality and yield related traits and their relationship with grain shape and size traits in an elite × non-adapted bread wheat cross.
    Kumar A; Mantovani EE; Simsek S; Jain S; Elias EM; Mergoum M
    PLoS One; 2019; 14(9):e0221826. PubMed ID: 31532783
    [TBL] [Abstract][Full Text] [Related]  

  • 14. High-density mapping and comparative analysis of agronomically important traits on wheat chromosome 3A.
    Dilbirligi M; Erayman M; Campbell BT; Randhawa HS; Baenziger PS; Dweikat I; Gill KS
    Genomics; 2006 Jul; 88(1):74-87. PubMed ID: 16624516
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Genotyping-by-Sequencing Derived High-Density Linkage Map and its Application to QTL Mapping of Flag Leaf Traits in Bread Wheat.
    Hussain W; Baenziger PS; Belamkar V; Guttieri MJ; Venegas JP; Easterly A; Sallam A; Poland J
    Sci Rep; 2017 Nov; 7(1):16394. PubMed ID: 29180623
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Rapid identification and characterization of genetic loci for defective kernel in bread wheat.
    Fu C; Du J; Tian X; He Z; Fu L; Wang Y; Xu D; Xu X; Xia X; Zhang Y; Cao S
    BMC Plant Biol; 2019 Nov; 19(1):483. PubMed ID: 31703630
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integration of genetic and genomics resources in einkorn wheat enables precision mapping of important traits.
    Saripalli G; Adhikari L; Amos C; Kibriya A; Ahmed HI; Heuberger M; Raupp J; Athiyannan N; Wicker T; Abrouk M; Wallace S; Hosseinirad S; Chhuneja P; Livesay J; Rawat N; Krattinger SG; Poland J; Tiwari V
    Commun Biol; 2023 Aug; 6(1):835. PubMed ID: 37573415
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Combining QTL mapping and gene co-expression network analysis for prediction of candidate genes and molecular network related to yield in wheat.
    Wei J; Fang Y; Jiang H; Wu XT; Zuo JH; Xia XC; Li JQ; Stich B; Cao H; Liu YX
    BMC Plant Biol; 2022 Jun; 22(1):288. PubMed ID: 35698038
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Combined meta-genomics analyses unravel candidate genes for the grain dietary fiber content in bread wheat (Triticum aestivum L.).
    Quraishi UM; Murat F; Abrouk M; Pont C; Confolent C; Oury FX; Ward J; Boros D; Gebruers K; Delcour JA; Courtin CM; Bedo Z; Saulnier L; Guillon F; Balzergue S; Shewry PR; Feuillet C; Charmet G; Salse J
    Funct Integr Genomics; 2011 Mar; 11(1):71-83. PubMed ID: 20697765
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prioritizing quantitative trait loci for root system architecture in tetraploid wheat.
    Maccaferri M; El-Feki W; Nazemi G; Salvi S; Canè MA; Colalongo MC; Stefanelli S; Tuberosa R
    J Exp Bot; 2016 Feb; 67(4):1161-78. PubMed ID: 26880749
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.