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 *

189 related articles for article (PubMed ID: 37662146)

  • 1. A meta-QTL analysis highlights genomic hotspots associated with phosphorus use efficiency in rice (
    Navea IP; Maung PP; Yang S; Han JH; Jing W; Shin NH; Zhang W; Chin JH
    Front Plant Sci; 2023; 14():1226297. PubMed ID: 37662146
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Identification of quantitative trait loci for phosphorus use efficiency traits in rice using a high density SNP map.
    Wang K; Cui K; Liu G; Xie W; Yu H; Pan J; Huang J; Nie L; Shah F; Peng S
    BMC Genet; 2014 Dec; 15():155. PubMed ID: 25551672
    [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. 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]  

  • 6. 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]  

  • 7. Meta-Analysis of Quantitative Traits Loci (QTL) Identified in Drought Response in Rice (
    Selamat N; Nadarajah KK
    Plants (Basel); 2021 Apr; 10(4):. PubMed ID: 33917162
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Meta-Analysis of Quantitative Trait Loci Associated with Multiple Disease Resistance in Rice (
    Kumar IS; Nadarajah K
    Plants (Basel); 2020 Nov; 9(11):. PubMed ID: 33167299
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Meta-analysis of grain iron and zinc associated QTLs identified hotspot chromosomal regions and positional candidate genes for breeding biofortified rice.
    Raza Q; Riaz A; Sabar M; Atif RM; Bashir K
    Plant Sci; 2019 Nov; 288():110214. PubMed ID: 31521222
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Pinpointing genomic regions associated with root system architecture in rice through an integrative meta-analysis approach.
    Daryani P; Darzi Ramandi H; Dezhsetan S; Mirdar Mansuri R; Hosseini Salekdeh G; Shobbar ZS
    Theor Appl Genet; 2022 Jan; 135(1):81-106. PubMed ID: 34623472
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Meta-QTL s and haplotypes for efficient zinc biofortification of rice.
    Joshi G; Soe YP; Palanog A; Hore TK; Nha CT; Calayugan MI; Inabangan-Asilo MA; Amparado A; Pandey ID; Cruz PCS; Hernandez JE; Swamy BPM
    Plant Genome; 2023 Dec; 16(4):e20315. PubMed ID: 36896580
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Meta-QTLs, ortho-MQTLs and candidate genes for nitrogen use efficiency and root system architecture in bread wheat (
    Saini DK; Chopra Y; Pal N; Chahal A; Srivastava P; Gupta PK
    Physiol Mol Biol Plants; 2021 Oct; 27(10):2245-2267. PubMed ID: 34744364
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Unmasking Novel Loci for Internal Phosphorus Utilization Efficiency in Rice Germplasm through Genome-Wide Association Analysis.
    Wissuwa M; Kondo K; Fukuda T; Mori A; Rose MT; Pariasca-Tanaka J; Kretzschmar T; Haefele SM; Rose TJ
    PLoS One; 2015; 10(4):e0124215. PubMed ID: 25923470
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Delineating meta-quantitative trait loci for anthracnose resistance in common bean (
    Shafi S; Saini DK; Khan MA; Bawa V; Choudhary N; Dar WA; Pandey AK; Varshney RK; Mir RR
    Front Plant Sci; 2022; 13():966339. PubMed ID: 36092444
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Consensus map integration and QTL meta-analysis narrowed a locus for yield traits to 0.7 cM and refined a region for late leaf spot resistance traits to 0.38 cM on linkage group A05 in peanut (Arachis hypogaea L.).
    Lu Q; Liu H; Hong Y; Li H; Liu H; Li X; Wen S; Zhou G; Li S; Chen X; Liang X
    BMC Genomics; 2018 Dec; 19(1):887. PubMed ID: 30526476
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.