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Mining for QTL controlling maize low-phosphorus response genes combined with deep resequencing of RIL parental genomes and in silico GWAS analysis.
Luo B, Ma P, Zhang C, Zhang X, Li J, Ma J, Han Z, Zhang S, Yu T, Zhang G, Zhang H, Zhang H, Li B, Guo J, Ge P, Lan Y, Liu D, Wu L, Gao D, Gao S, Su S, Gao S. Luo B, et al. Among authors: zhang c, zhang s, zhang g, zhang x, zhang h. Theor Appl Genet. 2024 Jul 24;137(8):190. doi: 10.1007/s00122-024-04696-9. Theor Appl Genet. 2024. PMID: 39043952
Genome-wide association studies dissect low-phosphorus stress response genes underling field and seedling traits in maize.
Luo B, Zhang G, Yu T, Zhang C, Yang G, Luo X, Zhang S, Guo J, Zhang H, Zheng H, Tang Z, Li Q, Lan Y, Ma P, Nie Z, Zhang X, Liu D, Wu L, Gao D, Gao S, Su S, Guo J, Gao S. Luo B, et al. Among authors: zhang c, zhang s, zhang g, zhang h, zhang x. Theor Appl Genet. 2024 Jun 27;137(7):172. doi: 10.1007/s00122-024-04681-2. Theor Appl Genet. 2024. PMID: 38935162
Exploring the phosphorus-starch content balance mechanisms in maize grains using GWAS population and transcriptome data.
Luo B, Zhang H, Han Z, Zhang X, Guo J, Zhang S, Luo X, Zhao J, Wang W, Yang G, Zhang C, Li J, Ma J, Zheng H, Tang Z, Lan Y, Ma P, Nie Z, Li Y, Liu D, Wu L, Gao D, Gao S, Su S, Guo J, Gao S. Luo B, et al. Among authors: zhang s, zhang c, zhang h, zhang x. Theor Appl Genet. 2024 Jun 12;137(7):158. doi: 10.1007/s00122-024-04667-0. Theor Appl Genet. 2024. PMID: 38864891
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