Li, J., Xie, T., Chen, Y., Zhang, Y., Wang, C., Jiang, Z., . . . Zhang, J. (2022). High-throughput unmanned aerial vehicle-based phenotyping provides insights into the dynamic process and genetic basis of rapeseed waterlogging response in the field. Journal of experimental botany, 73(15), 5264. https://doi.org/10.1093/jxb/erac242
Style de citation ChicagoLi, Jijun, et al. "High-throughput Unmanned Aerial Vehicle-based Phenotyping Provides Insights into the Dynamic Process and Genetic Basis of Rapeseed Waterlogging Response in the Field." Journal of Experimental Botany 73, no. 15 (2022): 5264. https://dx.doi.org/10.1093/jxb/erac242.
Style de citation MLALi, Jijun, et al. "High-throughput Unmanned Aerial Vehicle-based Phenotyping Provides Insights into the Dynamic Process and Genetic Basis of Rapeseed Waterlogging Response in the Field." Journal of Experimental Botany, vol. 73, no. 15, 2022, p. 5264.