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PUBMED FOR HANDHELDS

Journal Abstract Search


180 related items for PubMed ID: 34961040

  • 1. Genetic Dissection of Mature Root Characteristics by Genome-Wide Association Studies in Rapeseed (Brassica napus L.).
    Ibrahim S, Li K, Ahmad N, Kuang L, Sadau SB, Tian Z, Huang L, Wang X, Dun X, Wang H.
    Plants (Basel); 2021 Nov 24; 10(12):. PubMed ID: 34961040
    [Abstract] [Full Text] [Related]

  • 2. Genome-Wide Association Studies of Root-Related Traits in Brassica napus L. under Low-Potassium Conditions.
    Ibrahim S, Ahmad N, Kuang L, Tian Z, Sadau SB, Iqbal MS, Wang X, Wang H, Dun X.
    Plants (Basel); 2022 Jul 12; 11(14):. PubMed ID: 35890461
    [Abstract] [Full Text] [Related]

  • 3. Shovelomics for phenotyping root architectural traits of rapeseed/canola (Brassica napus L.) and genome-wide association mapping.
    Arifuzzaman M, Oladzadabbasabadi A, McClean P, Rahman M.
    Mol Genet Genomics; 2019 Aug 12; 294(4):985-1000. PubMed ID: 30968249
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  • 4. Deciphering the Genetic Basis of Root and Biomass Traits in Rapeseed (Brassica napus L.) through the Integration of GWAS and RNA-Seq under Nitrogen Stress.
    Ahmad N, Su B, Ibrahim S, Kuang L, Tian Z, Wang X, Wang H, Dun X.
    Int J Mol Sci; 2022 Jul 19; 23(14):. PubMed ID: 35887301
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  • 5. Quantitative trait loci mapping reveals important genomic regions controlling root architecture and shoot biomass under nitrogen, phosphorus, and potassium stress in rapeseed (Brassica napus L.).
    Ahmad N, Ibrahim S, Tian Z, Kuang L, Wang X, Wang H, Dun X.
    Front Plant Sci; 2022 Jul 19; 13():994666. PubMed ID: 36172562
    [Abstract] [Full Text] [Related]

  • 6. Integrating genome-wide association study with transcriptomic data to predict candidate genes influencing Brassica napus root and biomass-related traits under low phosphorus conditions.
    Ahmad N, Ibrahim S, Kuang L, Ze T, Wang X, Wang H, Dun X.
    Biotechnol Biofuels Bioprod; 2023 Oct 04; 16(1):149. PubMed ID: 37789456
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  • 7. Discovery of Genomic Regions and Candidate Genes Controlling Root Development Using a Recombinant Inbred Line Population in Rapeseed (Brassica napus L.).
    Kuang L, Ahmad N, Su B, Huang L, Li K, Wang H, Wang X, Dun X.
    Int J Mol Sci; 2022 Apr 26; 23(9):. PubMed ID: 35563170
    [Abstract] [Full Text] [Related]

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  • 12. Genome-wide association study reveals the genetic architecture of flowering time in rapeseed (Brassica napus L.).
    Xu L, Hu K, Zhang Z, Guan C, Chen S, Hua W, Li J, Wen J, Yi B, Shen J, Ma C, Tu J, Fu T.
    DNA Res; 2016 Feb 26; 23(1):43-52. PubMed ID: 26659471
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  • 13. Quantitative trait loci that control the oil content variation of rapeseed (Brassica napus L.).
    Jiang C, Shi J, Li R, Long Y, Wang H, Li D, Zhao J, Meng J.
    Theor Appl Genet; 2014 Apr 26; 127(4):957-68. PubMed ID: 24504552
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  • 14. Integrating GWAS, linkage mapping and gene expression analyses reveals the genetic control of growth period traits in rapeseed (Brassica napus L.).
    Wang T, Wei L, Wang J, Xie L, Li YY, Ran S, Ren L, Lu K, Li J, Timko MP, Liu L.
    Biotechnol Biofuels; 2020 Apr 26; 13():134. PubMed ID: 32774455
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  • 15. Genome-wide association screening and verification of potential genes associated with root architectural traits in maize (Zea mays L.) at multiple seedling stages.
    Moussa AA, Mandozai A, Jin Y, Qu J, Zhang Q, Zhao H, Anwari G, Khalifa MAS, Lamboro A, Noman M, Bakasso Y, Zhang M, Guan S, Wang P.
    BMC Genomics; 2021 Jul 20; 22(1):558. PubMed ID: 34284723
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  • 17. Genome-wide association studies of root system architecture traits in a broad collection of Brassica genotypes.
    Yang C, Fredua-Agyeman R, Hwang SF, Gorim LY, Strelkov SE.
    Front Plant Sci; 2024 Jul 20; 15():1389082. PubMed ID: 38863549
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  • 18. Integration of QTL Mapping and Gene Fishing Techniques to Dissect the Multi-Main Stem Trait in Rapeseed (Brassica napus L.).
    Zhao W, Chao H, Zhang L, Ta N, Zhao Y, Li B, Zhang K, Guan Z, Hou D, Chen K, Li H, Zhang L, Wang H, Li M.
    Front Plant Sci; 2019 Jul 20; 10():1152. PubMed ID: 31616451
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  • 19. Genome-wide association study and protein network analysis for understanding candidate genes involved in root development at the rapeseed seedling stage.
    He Y, Hu D, You J, Wu D, Cui Y, Dong H, Li J, Qian W.
    Plant Physiol Biochem; 2019 Apr 20; 137():42-52. PubMed ID: 30738216
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