Evaluation of wheat drought resistance using hyperspectral and chlorophyll fluorescence imaging

作者：Yucun Yang, Xinran Liu, Yuqing Zhao, Gaijuan Tang, Rui Nan, Yuzhen Zhang, Fengli Sun, Yajun Xi, Chao Zhang · 发表于：Plant Physiology and Biochemistry · 年份：2024 · DOI：10.1016/j.plaphy.2024.109415 · 被引用次数：13 · 研究领域：Leaf Properties and Growth Measurement、Spectroscopy and Chemometric Analyses、Remote Sensing in Agriculture

= 0.49). An uninformative variable elimination algorithm indicated that FDRs in the green (504-609 nm), red (724-751 nm), and near-infrared (944-946 nm) light regions had great potential as indices of drought resistance. A support vector machine model based on the FDRs of these characteristic bands identified wheat drought resistance with 97.33% accuracy. These findings provide insight into the application of high-throughput technologies in studying drought resistance and photosynthesis in wheat.