Article Versions Notes

Liu Z, Sun Z, Ke H, Chen B, Gu Q, Zhang M, Wu N, Chen L, Li Y, Meng C, et al. Transcriptome, Ectopic Expression and Genetic Population Analysis Identify Candidate Genes for Fiber Quality Improvement in Cotton. International Journal of Molecular Sciences. 2023; 24(9):8293. https://doi.org/10.3390/ijms24098293

Liu, Zhengwen, Zhengwen Sun, Huifeng Ke, Bin Chen, Qishen Gu, Man Zhang, Nan Wu, Liting Chen, Yanbin Li, Chengsheng Meng, and et al. 2023. "Transcriptome, Ectopic Expression and Genetic Population Analysis Identify Candidate Genes for Fiber Quality Improvement in Cotton" International Journal of Molecular Sciences 24, no. 9: 8293. https://doi.org/10.3390/ijms24098293

Liu, Z., Sun, Z., Ke, H., Chen, B., Gu, Q., Zhang, M., Wu, N., Chen, L., Li, Y., Meng, C., Wang, G., Wu, L., Zhang, G., Ma, Z., Zhang, Y., & Wang, X. (2023). Transcriptome, Ectopic Expression and Genetic Population Analysis Identify Candidate Genes for Fiber Quality Improvement in Cotton. International Journal of Molecular Sciences, 24(9), 8293. https://doi.org/10.3390/ijms24098293