dual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. Supplementary Materials The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms24065825/s1 . Click here for additional data file. Author Contributions C.Z. and Y.Y. conceived and designed the study; Y.Y., R.N., T.M., Y.S. and F.S. (Fanghui Shi) collected the wheat samples; Y.Y., Y.W. and C.Z. analyzed the data; Y.Y. and X.L. wrote the manuscript; F.S. (Fengli Sun), Y.X. and C.Z. revised the manuscript. Al
Open resource ↗lines:70-112Unverified paper record
Rapid and Nondestructive Evaluation of Wheat Chlorophyll under Drought Stress Using Hyperspectral Imaging.
International journal of molecular sciences · 18 Mar 2023 · 10.3390/ijms24065825
Abstract
Chlorophyll drives plant photosynthesis. Under stress conditions, leaf chlorophyll content changes dramatically, which could provide insight into plant photosynthesis and drought resistance. Compared to traditional methods of evaluating chlorophyll content, hyperspectral imaging is more efficient and accurate and benefits from being a nondestructive technique. However, the relationships between chlorophyll content and hyperspectral characteristics of wheat leaves with wide genetic diversity and different treatments have rarely been reported. In this study, using 335 wheat varieties, we analyzed the hyperspectral characteristics of flag leaves and the relationships thereof with SPAD values at the grain-filling stage under control and drought stress. The hyperspectral information of wheat flag leaves significantly differed between control and drought stress conditions in the 550-700 nm region. Hyperspectral reflectance at 549 nm (r = -0.64) and the first derivative at 735 nm (r = 0.68) exhibited the strongest correlations with SPAD values. Hyperspectral reflectance at 536, 596, and 674 nm, and the first derivatives bands at 756 and 778 nm, were useful for estimating SPAD values. The combination of spectrum and image characteristics (L*, a*, and b*) can improve the estimation accuracy of SPAD values (optimal performance of RFR, relative error, 7.35%; root mean square error, 4.439; R 2 , 0.61). The models established in this study are efficient for evaluating chlorophyll content and provide insight into photosynthesis and drought resistance. This study can provide a reference for high-throughput phenotypic analysis and genetic breeding of wheat and other crops.
Plant phenotyping relevance
コムギ葉のハイパースペクトル画像と画像特徴からクロロフィル量を推定する手法を開発・評価しており、植物表現型の取得・推定が中心である。
abstractCompared to traditional methods of evaluating chlorophyll content, hyperspectral imaging is more efficient and accurate and benefits from being a nondestructive technique.
abstractThe combination of spectrum and image characteristics (L*, a*, and b*) can improve the estimation accuracy of SPAD values
abstractThe models established in this study are efficient for evaluating chlorophyll content and provide insight into photosynthesis and drought resistance.
Code and data availability
The paper's phenotype data (335 wheat varieties, SPAD values, hyperspectral-derived traits) are stated to be contained in the article and its supplementary files (Table S1 variety list, Table S2 SPAD values), publicly downloadable from the MDPI supplementary link. No author analysis code, models, or raw hyperspectral/3
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