BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 37144681)

  • 1. Consensus genomic regions for grain quality traits in wheat revealed by Meta-QTL analysis and in silico transcriptome integration.
    Li N; Miao Y; Ma J; Zhang P; Chen T; Liu Y; Che Z; Shahinnia F; Yang D
    Plant Genome; 2023 Jun; 16(2):e20336. PubMed ID: 37144681
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Meta-QTLs, ortho-meta-QTLs and candidate genes for grain yield and associated traits in wheat (Triticum aestivum L.).
    Saini DK; Srivastava P; Pal N; Gupta PK
    Theor Appl Genet; 2022 Mar; 135(3):1049-1081. PubMed ID: 34985537
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Unravelling consensus genomic regions associated with quality traits in wheat using meta-analysis of quantitative trait loci.
    Gudi S; Saini DK; Singh G; Halladakeri P; Kumar P; Shamshad M; Tanin MJ; Singh S; Sharma A
    Planta; 2022 May; 255(6):115. PubMed ID: 35508739
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Deciphering key genomic regions controlling flag leaf size in wheat via integration of meta-QTL and in silico transcriptome assessment.
    Kong B; Ma J; Zhang P; Chen T; Liu Y; Che Z; Shahinnia F; Yang D
    BMC Genomics; 2023 Jan; 24(1):33. PubMed ID: 36658498
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of quantitative trait loci (QTL) and meta-QTL analysis for kernel size-related traits in wheat (Triticum aestivum L.).
    Ma J; Liu Y; Zhang P; Chen T; Tian T; Wang P; Che Z; Shahinnia F; Yang D
    BMC Plant Biol; 2022 Dec; 22(1):607. PubMed ID: 36550393
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Detection of consensus genomic regions and candidate genes for quality traits in barley using QTL meta-analysis.
    Du B; Wu J; Wang M; Wu J; Sun C; Zhang X; Ren X; Wang Q
    Front Plant Sci; 2023; 14():1319889. PubMed ID: 38283973
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparative Genomic Analysis of Quantitative Trait Loci Associated With Micronutrient Contents, Grain Quality, and Agronomic Traits in Wheat (
    Shariatipour N; Heidari B; Tahmasebi A; Richards C
    Front Plant Sci; 2021; 12():709817. PubMed ID: 34712248
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Genome-wide association study to identify genomic loci associated with early vigor in bread wheat under simulated water deficit complemented with quantitative trait loci meta-analysis.
    Rahimi Y; Khahani B; Jamali A; Alipour H; Bihamta MR; Ingvarsson PK
    G3 (Bethesda); 2023 Feb; 13(2):. PubMed ID: 36458966
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Meta-QTL analysis and identification of candidate genes for multiple-traits associated with spot blotch resistance in bread wheat.
    Vasistha NK; Sharma V; Singh S; Kaur R; Kumar A; Ravat VK; Kumar R; Gupta PK
    Sci Rep; 2024 Jun; 14(1):13083. PubMed ID: 38844568
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Meta-QTL analysis and in-silico transcriptome assessment for controlling chlorophyll traits in common wheat.
    Guo K; Chen T; Zhang P; Liu Y; Che Z; Shahinnia F; Yang D
    Plant Genome; 2023 Mar; 16(1):e20294. PubMed ID: 36636827
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Meta-QTLs, ortho-MQTLs and candidate genes for the traits contributing to salinity stress tolerance in common wheat (
    Pal N; Saini DK; Kumar S
    Physiol Mol Biol Plants; 2021 Dec; 27(12):2767-2786. PubMed ID: 35035135
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Uncovering the Genomic Regions Associated with Yield Maintenance in Rice Under Drought Stress Using an Integrated Meta-Analysis Approach.
    Daryani P; Amirbakhtiar N; Soorni J; Loni F; Darzi Ramandi H; Shobbar ZS
    Rice (N Y); 2024 Jan; 17(1):7. PubMed ID: 38227151
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A meta-quantitative trait loci analysis identified consensus genomic regions and candidate genes associated with grain yield in rice.
    Aloryi KD; Okpala NE; Amo A; Bello SF; Akaba S; Tian X
    Front Plant Sci; 2022; 13():1035851. PubMed ID: 36466247
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Genome-wide meta-analysis of QTL for morphological related traits of flag leaf in bread wheat.
    Du B; Wu J; Islam MS; Sun C; Lu B; Wei P; Liu D; Chen C
    PLoS One; 2022; 17(10):e0276602. PubMed ID: 36279291
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Consensus genomic regions associated with grain protein content in hexaploid and tetraploid wheat.
    Saini P; Sheikh I; Saini DK; Mir RR; Dhaliwal HS; Tyagi V
    Front Genet; 2022; 13():1021180. PubMed ID: 36246648
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Genome-Wide Meta-Analysis of QTLs Associated with Root Traits and Implications for Maize Breeding.
    Karnatam KS; Chhabra G; Saini DK; Singh R; Kaur G; Praba UP; Kumar P; Goyal S; Sharma P; Ranjan R; Sandhu SK; Kumar R; Vikal Y
    Int J Mol Sci; 2023 Mar; 24(7):. PubMed ID: 37047112
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Meta-QTLs for multiple disease resistance involving three rusts in common wheat (Triticum aestivum L.).
    Pal N; Jan I; Saini DK; Kumar K; Kumar A; Sharma PK; Kumar S; Balyan HS; Gupta PK
    Theor Appl Genet; 2022 Jul; 135(7):2385-2405. PubMed ID: 35699741
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.