| Cite this article: | 李燕丽,熊勤学,卢碧林,等.渍害胁迫下小麦SPAD的高光谱监测方法研究[J].灌溉排水学报,2020,(12):-. |
| LI Yanli,XIONG Qinxue,LU Bilin,et al.渍害胁迫下小麦SPAD的高光谱监测方法研究[J].灌溉排水学报,2020,(12):-. |
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| Monitoring of wheat SPAD under waterlogging stress based on Hyperspectral technology |
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LI Yanli1, XIONG Qinxue2, LU Bilin2, LI Jifu2, LI Lei3, TIAN Guangli4
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1.Farmland Irrigation Research Institute,CAAS/National Agro-ecological System Observation and Research Station of Shangqiu,Shangqiu,Henan;2.Agriculture College of Yangtze University,Jingzhou,Hubei;3.JingzhouAgricultural Technology Extension Center,Jingzhou,Hubei;4.Farmland Irrigation Research Institute, CAAS/National Agro-ecological System Observation and Research Station of Shangqiu
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| Abstract: |
| 【Background】The waterlogging disaster is one of the serious disasters in wheat production in China, especially in the middle-lower reaches of the Yangtze River, where waterlogging disaster caused by excessive rainfall in the middle and late period of wheat growth was the major limiting factor for high and stable yield of wheat. Hyperspectral technique has been an effective method to monitor the crop growth as a rapid and non-destructive approach．And it is of great significance to clarify SPAD changes under waterlogging stress and their correlation with hyperspectral characteristic parameters for rapid identification of wheat disaster situation, timely understanding of crop damage, guidance of agricultural production management and yield estimation.【Objective】The purpose of this study aimed to present a non-destructive and rapid monitoring method for wheat SPAD monitoring under waterlogging stress.【Method】In order to reveal the effect of 8 d waterlogging stress to SPAD of wheat, a plot experiment controlled by irrigation and drainage was conducted after booting stage based on the waterlogging characteristics of precipitation in the growth period of wheat in this area. This paper analysis the effects of waterlogging stress on SPAD of 8 wheat varieties, as well as the correlation with 17 hyperspectral parameters, and then constructing predictive models for wheat SPAD waterlogging based on hyperspectral parameters.【Result】Compared with normal wheat, there was no significant difference for SPAD under 8 d waterlogging, while the SPAD was significantly decrease after stopping waterlogging for 7 d. The influence of waterlogging on wheat SPAD was significantly different with varieties of wheat, and the decrease of SPAD was significantly with weak resistance to waterlogging. Among the 17 hyperspectral characteristic parameters, the correlation between AR index and SPAD was the highest with the r of -0.84, and the change of its reduction amount with the time of waterlogging was consistent with the variety's ability to resist waterlogging disaster. Moreover, as compared with the linear model built with hyperspectral characteristic parameters, the accuracy of partial least squares regression (PLSR) model based on the hyperspectral reflectance for SPAD reduction estimation was significantly improved, with the R2of 0.984.【Conclusion】These results indicated that the AR could be used for reflecting the change of different varieties wheat SPAD, and the PLSR modeling method could be applied as an effective method for the damage estimation of wheat SPAD under waterlogging stress. Thus, Hyperspectral technique could be used as a more effective method for obtaining wheat growth parameters as comparing with traditional destructive sampling methods, and provides a theoretical foundation and technical support for area monitoring and optimal management of wheat waterlogging. |
| Key words: Waterlogging; Wheat; Hyperspectral; SPAD; Monitoring |
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