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227 related items for PubMed ID: 32774455

  • 1. 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; 13():134. PubMed ID: 32774455
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  • 3. Earliness traits in rapeseed (Brassica napus): SNP loci and candidate genes identified by genome-wide association analysis.
    Zhou Q, Han D, Mason AS, Zhou C, Zheng W, Li Y, Wu C, Fu D, Huang Y.
    DNA Res; 2018 Jun; 25(3):229-244. PubMed ID: 29236947
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  • 4. High Density Linkage Map Construction and QTL Detection for Three Silique-Related Traits in Orychophragmus violaceus Derived Brassica napus Population.
    Yang Y, Shen Y, Li S, Ge X, Li Z.
    Front Plant Sci; 2017 Jun; 8():1512. PubMed ID: 28932230
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  • 9. QTL Mapping and Diurnal Transcriptome Analysis Identify Candidate Genes Regulating Brassica napus Flowering Time.
    Song J, Li B, Cui Y, Zhuo C, Gu Y, Hu K, Wen J, Yi B, Shen J, Ma C, Fu T, Tu J.
    Int J Mol Sci; 2021 Jul 15; 22(14):. PubMed ID: 34299178
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  • 11. Identification candidate genes for salt resistance through quantitative trait loci-sequencing in Brassica napus L.
    Zhang Y, Guo Z, Chen X, Li X, Shi Y, Xu L, Yu C, Jing B, Li W, Xu A, Shi X, Li K, Huang Z.
    J Plant Physiol; 2024 Mar 15; 294():154187. PubMed ID: 38422630
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  • 12. Integrated QTL and eQTL Mapping Provides Insights and Candidate Genes for Fatty Acid Composition, Flowering Time, and Growth Traits in a F2 Population of a Novel Synthetic Allopolyploid Brassica napus.
    Li R, Jeong K, Davis JT, Kim S, Lee S, Michelmore RW, Kim S, Maloof JN.
    Front Plant Sci; 2018 Mar 15; 9():1632. PubMed ID: 30483289
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  • 13. Integrating GWAS, linkage mapping and gene expression analyses reveal the genetic control of first branch height in Brassica napus L.
    Dong Z, Tang M, Cui X, Zhao C, Tong C, Liu Y, Xiang Y, Li Z, Huang J, Cheng X, Liu S.
    Front Plant Sci; 2022 Mar 15; 13():1080999. PubMed ID: 36589070
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  • 14. 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 15; 294(4):985-1000. PubMed ID: 30968249
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  • 15. Integration of GWAS and transcriptome analyses to identify SNPs and candidate genes for aluminum tolerance in rapeseed (Brassica napus L.).
    Zhou H, Xiao X, Asjad A, Han D, Zheng W, Xiao G, Huang Y, Zhou Q.
    BMC Plant Biol; 2022 Mar 21; 22(1):130. PubMed ID: 35313826
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  • 16. Transcriptome analysis of Brassica napus pod using RNA-Seq and identification of lipid-related candidate genes.
    Xu HM, Kong XD, Chen F, Huang JX, Lou XY, Zhao JY.
    BMC Genomics; 2015 Oct 24; 16():858. PubMed ID: 26499887
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  • 17. Screening of Candidate Leaf Morphology Genes by Integration of QTL Mapping and RNA Sequencing Technologies in Oilseed Rape (Brassica napus L.).
    Jian H, Yang B, Zhang A, Zhang L, Xu X, Li J, Liu L.
    PLoS One; 2017 Oct 24; 12(1):e0169641. PubMed ID: 28068426
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  • 18. Genome-Wide Association Study Reveals the Genetic Architecture Underlying Salt Tolerance-Related Traits in Rapeseed (Brassica napus L.).
    Wan H, Chen L, Guo J, Li Q, Wen J, Yi B, Ma C, Tu J, Fu T, Shen J.
    Front Plant Sci; 2017 Oct 24; 8():593. PubMed ID: 28491067
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  • 19. Genome-Wide Association Analysis Combined With Quantitative Trait Loci Mapping and Dynamic Transcriptome Unveil the Genetic Control of Seed Oil Content in Brassica napus L.
    Zhao C, Xie M, Liang L, Yang L, Han H, Qin X, Zhao J, Hou Y, Dai W, Du C, Xiang Y, Liu S, Huang X.
    Front Plant Sci; 2022 Oct 24; 13():929197. PubMed ID: 35845656
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