Canopy Vegetation Indices from In situ Hyperspectral Data to Assess Plant Water Status of Winter Wheat under Powdery Mildew Stress.
Canopy Vegetation Indices from In situ Hyperspectral Data to Assess Plant Water Status of Winter Wheat under Powdery Mildew Stress.
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利用原位高光谱数据冠层植被指数评估白粉病胁迫下冬小麦植株水分状况
DOI：
10.3389/fpls.2017.01219
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发表时间：
2017
影响因子：
5.6
通讯作者：
Li X
中科院分区：
文献类型：
--
作者：
Feng W;Qi S;Heng Y;Zhou Y;Wu Y;Liu W;He L;Li X
病虫害影响作物的生理状态，制约作物的健康生长。生理测量被认为是评估植物健康状况的最准确方法。本文研究了利用高光谱遥感技术对小麦白粉病田间水分状况的实时监测。利用病圃和人工接种的露地试验，对小麦不同发育阶段和不同病害严重程度下的冠层光谱进行了测定。同时进行破坏性取样进行物理试验，考察发病条件下生理参数的变化。所选植被指数（维斯）多由绿色波段组成，这些常见的维斯指数与植株含水量（PWC）的相关系数一般在0.784-0.902之间（p < 0.001），表明绿色波段在评价白粉病胁迫下冬小麦的水分含量方面具有很大的潜力。光化学反射指数（PRI）对白粉病的生理反应敏感，与叶绿素含量、PSII光化学最大量子效率（Fv/Fm）和PSII光化学潜在活性（Fv/Fo）的相关性较好，R2分别为0.639，0.833，0.808。线性回归分析表明，在不同的生长条件下，PRI与PWC表现出稳定的关系，R2 = 0.817，RMSE = 2.17。与传统的水分信号植被指数WBI、FWBI 1和FWBI 2相比，所建立的小麦白粉病胁迫PRI模型对孕穗期至灌浆期不同试验田具有良好的适应性。独立数据验证结果表明，PRI仍然表现出较好的测量和预测之间的R2 = 0.819，相应的RE = 8.26%。因此，PRI可作为白粉病胁迫下冬小麦叶片含水量的一个潜在的可靠指标。研究结果将有助于了解小麦生产过程中植株的物理状态，为小麦生产过程中病害的遥感防治提供技术支持。
Plant disease and pests influence the physiological state and restricts the healthy growth of crops. Physiological measurements are considered the most accurate way of assessing plant health status. In this paper, we researched the use of an in situ hyperspectral remote sensor to detect plant water status in winter wheat infected with powdery mildew. Using a diseased nursery field and artificially inoculated open field experiments, we detected the canopy spectra of wheat at different developmental stages and under different degrees of disease severity. At the same time, destructive sampling was carried out for physical tests to investigate the change of physiological parameters under the condition of disease. Selected vegetation indices (VIs) were mostly comprised of green bands, and correlation coefficients between these common VIs and plant water content (PWC) were generally 0.784–0.902 (p < 0.001), indicating the green waveband may have great potential in the evaluation of water content of winter wheat under powdery mildew stress. The Photochemical Reflectance Index (PRI) was sensitive to physiological response influenced by powdery mildew, and the relationships of PRI with chlorophyll content, the maximum quantum efficiency of PSII photochemistry (Fv/Fm), and the potential activity of PSII photochemistry (Fv/Fo) were good with R2 = 0.639, 0.833, 0.808, respectively. Linear regressions showed PRI demonstrated a steady relationship with PWC across different growth conditions, with R2 = 0.817 and RMSE = 2.17. The acquired PRI model of wheat under the powdery mildew stress has a good compatibility to different experimental fields from booting stage to filling stage compared with the traditional water signal vegetation indices, WBI, FWBI1, and FWBI2. The verification results with independent data showed that PRI still performed better with R2 = 0.819 between measured and predicted, and corresponding RE = 8.26%. Thus, PRI is recommended as a potentially reliable indicator of PWC in winter wheat with powdery mildew stress. The results will help to understand the physical state of the plant, and provide technical support for disease control using remote sensing during wheat production.
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影响因子：
6.2
作者：
Huang, Wenjiang;Lamb, David W.;Wang, Jihua
通讯作者：
Wang, Jihua
影响因子：
3
作者：
Allen, PJ
通讯作者：
Allen, PJ
DOI：
10.3964/j.issn.1000-0593(2010)02-0421-05
发表时间：
2010-02-01
影响因子：
0.7
作者：
Chen Bing;Li Shao-kun;Pan Wen-chao
通讯作者：
Pan Wen-chao
DOI：
10.1631/jzus.c1000097
发表时间：
2011-01-01
期刊：
Journal of Zhejiang University (Agriculture and Life Sciences)
影响因子：
--
作者：
Cheng ShuXi, Cheng ShuXi;Shao YongNi, Shao YongNi;He, Y.
通讯作者：
He, Y.
影响因子：
5.8
作者：
Feng, Wei;Guo, Bin-Bin;Guo, Tian-Cai
通讯作者：
Guo, Tian-Cai