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.
330 related articles for article (PubMed ID: 38418640)
1. Identification of the domestication gene GmCYP82C4 underlying the major quantitative trait locus for the seed weight in soybean. Li Y; Zhao W; Tang J; Yue X; Gu J; Zhao B; Li C; Chen Y; Yuan J; Lin Y; Li Y; Kong F; He J; Wang D; Zhao TJ; Wang ZY Theor Appl Genet; 2024 Feb; 137(3):62. PubMed ID: 38418640 [TBL] [Abstract][Full Text] [Related]
2. Identification of QTL with large effect on seed weight in a selective population of soybean with genome-wide association and fixation index analyses. Yan L; Hofmann N; Li S; Ferreira ME; Song B; Jiang G; Ren S; Quigley C; Fickus E; Cregan P; Song Q BMC Genomics; 2017 Jul; 18(1):529. PubMed ID: 28701220 [TBL] [Abstract][Full Text] [Related]
3. 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; 134(5):1329-1341. PubMed ID: 33507340 [TBL] [Abstract][Full Text] [Related]
4. A loss-of-function mutant allele of a glycosyl hydrolase gene has been co-opted for seed weight control during soybean domestication. Wei S; Yong B; Jiang H; An Z; Wang Y; Li B; Yang C; Zhu W; Chen Q; He C J Integr Plant Biol; 2023 Nov; 65(11):2469-2489. PubMed ID: 37635359 [TBL] [Abstract][Full Text] [Related]
5. Identification of quantitative trait nucleotides and candidate genes for soybean seed weight by multiple models of genome-wide association study. Karikari B; Wang Z; Zhou Y; Yan W; Feng J; Zhao T BMC Plant Biol; 2020 Sep; 20(1):404. PubMed ID: 32873245 [TBL] [Abstract][Full Text] [Related]
6. Identification of QTNs and Their Candidate Genes for 100-Seed Weight in Soybean (Glycine max L.) Using Multi-Locus Genome-Wide Association Studies. Ikram M; Han X; Zuo JF; Song J; Han CY; Zhang YW; Zhang YM Genes (Basel); 2020 Jun; 11(7):. PubMed ID: 32604988 [TBL] [Abstract][Full Text] [Related]
7. Identification of major genomic regions for soybean seed weight by genome-wide association study. Cao Y; Jia S; Chen L; Zeng S; Zhao T; Karikari B Mol Breed; 2022 Jul; 42(7):38. PubMed ID: 37313505 [TBL] [Abstract][Full Text] [Related]
8. Identification of candidate genes and genomic prediction of soybean fatty acid components in two soybean populations. Wang F; Zhao T; Feng Y; Ji Z; Zhao Q; Meng Q; Liu B; Liu L; Chen Q; Qi J; Zhu Z; Yang C; Qin J Theor Appl Genet; 2024 Aug; 137(9):211. PubMed ID: 39210238 [TBL] [Abstract][Full Text] [Related]
9. A genome-wide association study of seed composition traits in wild soybean (Glycine soja). Leamy LJ; Zhang H; Li C; Chen CY; Song BH BMC Genomics; 2017 Jan; 18(1):18. PubMed ID: 28056769 [TBL] [Abstract][Full Text] [Related]
10. Establishment of a 100-seed weight quantitative trait locus-allele matrix of the germplasm population for optimal recombination design in soybean breeding programmes. Zhang Y; He J; Wang Y; Xing G; Zhao J; Li Y; Yang S; Palmer RG; Zhao T; Gai J J Exp Bot; 2015 Oct; 66(20):6311-25. PubMed ID: 26163701 [TBL] [Abstract][Full Text] [Related]
11. Identification of major quantitative trait loci and candidate genes for seed weight in soybean. Xu M; Kong K; Miao L; He J; Liu T; Zhang K; Yue X; Jin T; Gai J; Li Y Theor Appl Genet; 2023 Jan; 136(1):22. PubMed ID: 36688967 [TBL] [Abstract][Full Text] [Related]
12. Cold tolerance SNPs and candidate gene mining in the soybean germination stage based on genome-wide association analysis. Chen Y; Liu Z; Han D; Yang Q; Li C; Shi X; Zhang M; Yang C; Qiu L; Jia H; Wang S; Lu W; Ma Q; Yan L Theor Appl Genet; 2024 Jul; 137(8):178. PubMed ID: 38976061 [TBL] [Abstract][Full Text] [Related]
13. Selection of GmSWEET39 for oil and protein improvement in soybean. Zhang H; Goettel W; Song Q; Jiang H; Hu Z; Wang ML; An YC PLoS Genet; 2020 Nov; 16(11):e1009114. PubMed ID: 33175845 [TBL] [Abstract][Full Text] [Related]
14. Construction of Genetic Map and QTL Mapping for Seed Size and Quality Traits in Soybean ( Gao W; Ma R; Li X; Liu J; Jiang A; Tan P; Xiong G; Du C; Zhang J; Zhang X; Fang X; Yi Z; Zhang J Int J Mol Sci; 2024 Mar; 25(5):. PubMed ID: 38474104 [TBL] [Abstract][Full Text] [Related]
15. Genome-wide association study, genomic prediction and marker-assisted selection for seed weight in soybean (Glycine max). Zhang J; Song Q; Cregan PB; Jiang GL Theor Appl Genet; 2016 Jan; 129(1):117-30. PubMed ID: 26518570 [TBL] [Abstract][Full Text] [Related]
16. Genome-Wide Detection of Quantitative Trait Loci and Prediction of Candidate Genes for Seed Sugar Composition in Early Mature Soybean. Hu L; Wang X; Zhang J; Florez-Palacios L; Song Q; Jiang GL Int J Mol Sci; 2023 Feb; 24(4):. PubMed ID: 36834578 [TBL] [Abstract][Full Text] [Related]
17. Genome wide association mapping and candidate gene analysis for hundred seed weight in soybean [Glycine max (L.) Merrill]. Zhao X; Dong H; Chang H; Zhao J; Teng W; Qiu L; Li W; Han Y BMC Genomics; 2019 Aug; 20(1):648. PubMed ID: 31412769 [TBL] [Abstract][Full Text] [Related]
18. Artificial selection on GmOLEO1 contributes to the increase in seed oil during soybean domestication. Zhang D; Zhang H; Hu Z; Chu S; Yu K; Lv L; Yang Y; Zhang X; Chen X; Kan G; Tang Y; An YC; Yu D PLoS Genet; 2019 Jul; 15(7):e1008267. PubMed ID: 31291251 [TBL] [Abstract][Full Text] [Related]
19. Domestication and improvement genes reveal the differences of seed size- and oil-related traits in soybean domestication and improvement. Zuo JF; Ikram M; Liu JY; Han CY; Niu Y; Dunwell JM; Zhang YM Comput Struct Biotechnol J; 2022; 20():2951-2964. PubMed ID: 35782726 [TBL] [Abstract][Full Text] [Related]
20. Quantitative trait loci analysis of seed oil content and composition of wild and cultivated soybean. Yao Y; You Q; Duan G; Ren J; Chu S; Zhao J; Li X; Zhou X; Jiao Y BMC Plant Biol; 2020 Jan; 20(1):51. PubMed ID: 32005156 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]