Cite
Using hyperspectral analysis as a potential high throughput phenotyping tool in GWAS for protein content of rice quality.
MLA
Sun, Dawei, et al. “Using Hyperspectral Analysis as a Potential High Throughput Phenotyping Tool in GWAS for Protein Content of Rice Quality.” Plant Methods, vol. 15, no. 1, May 2019, p. N.PAG. EBSCOhost, https://doi.org/10.1186/s13007-019-0432-x.
APA
Sun, D., Cen, H., Weng, H., Wan, L., Abdalla, A., El-Manawy, A. I., Zhu, Y., Zhao, N., Fu, H., Tang, J., Li, X., Zheng, H., Shu, Q., Liu, F., & He, Y. (2019). Using hyperspectral analysis as a potential high throughput phenotyping tool in GWAS for protein content of rice quality. Plant Methods, 15(1), N.PAG. https://doi.org/10.1186/s13007-019-0432-x
Chicago
Sun, Dawei, Haiyan Cen, Haiyong Weng, Liang Wan, Alwaseela Abdalla, Ahmed Islam El-Manawy, Yueming Zhu, et al. 2019. “Using Hyperspectral Analysis as a Potential High Throughput Phenotyping Tool in GWAS for Protein Content of Rice Quality.” Plant Methods 15 (1): N.PAG. doi:10.1186/s13007-019-0432-x.