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281 related items for PubMed ID: 34002254
1. A 24,482-bp deletion is associated with increased seed weight in Brassica napus L. Zhang X, Huang Q, Wang P, Liu F, Luo M, Li X, Wang Z, Wan L, Yang G, Hong D. Theor Appl Genet; 2021 Aug; 134(8):2653-2669. PubMed ID: 34002254 [Abstract] [Full Text] [Related]
3. Genetic dissection of thousand-seed weight and fine mapping of cqSW.A03-2 via linkage and association analysis in rapeseed (Brassica napus L.). Wang H, Yan M, Xiong M, Wang P, Liu Y, Xin Q, Wan L, Yang G, Hong D. Theor Appl Genet; 2020 Apr; 133(4):1321-1335. PubMed ID: 32002584 [Abstract] [Full Text] [Related]
12. Characterization of Sucrose transporter alleles and their association with seed yield-related traits in Brassica napus L. Li F, Ma C, Wang X, Gao C, Zhang J, Wang Y, Cong N, Li X, Wen J, Yi B, Shen J, Tu J, Fu T. BMC Plant Biol; 2011 Nov 23; 11():168. PubMed ID: 22112023 [Abstract] [Full Text] [Related]
13. Genetic dissection of Brassica napus seed vigor after aging. Ding Y, Hou D, Yin Y, Chen K, He J, Yan S, Li H, Xiong Y, Zhou W, Li M. Theor Appl Genet; 2024 May 24; 137(6):141. PubMed ID: 38789698 [Abstract] [Full Text] [Related]
16. Quantitative trait analysis of seed yield and other complex traits in hybrid spring rapeseed (Brassica napus L.): 2. Identification of alleles from unadapted germplasm. Udall JA, Quijada PA, Lambert B, Osborn TC. Theor Appl Genet; 2006 Aug 24; 113(4):597-609. PubMed ID: 16767446 [Abstract] [Full Text] [Related]
17. Comparative selective signature analysis and high-resolution GWAS reveal a new candidate gene controlling seed weight in soybean. Zhang W, Xu W, Zhang H, Liu X, Cui X, Li S, Song L, Zhu Y, Chen X, Chen H. Theor Appl Genet; 2021 May 24; 134(5):1329-1341. PubMed ID: 33507340 [Abstract] [Full Text] [Related]
18. Targeted mutagenesis of EOD3 gene in Brassica napus L. regulates seed production. Khan MHU, Hu L, Zhu M, Zhai Y, Khan SU, Ahmar S, Amoo O, Zhang K, Fan C, Zhou Y. J Cell Physiol; 2021 Mar 24; 236(3):1996-2007. PubMed ID: 32841372 [Abstract] [Full Text] [Related]
19. Combined QTL mapping, physiological and transcriptomic analyses to identify candidate genes involved in Brassica napus seed aging. Wang T, Hou L, Jian H, Di F, Li J, Liu L. Mol Genet Genomics; 2018 Dec 24; 293(6):1421-1435. PubMed ID: 29974306 [Abstract] [Full Text] [Related]
20. RNA-seq transcriptome analysis of the immature seeds of two Brassica napus lines with extremely different thousand-seed weight to identify the candidate genes related to seed weight. Geng X, Dong N, Wang Y, Li G, Wang L, Guo X, Li J, Wen Z, Wei W. PLoS One; 2018 Dec 24; 13(1):e0191297. PubMed ID: 29381708 [Abstract] [Full Text] [Related] Page: [Next] [New Search]