Establishment of The Crop Growth and Nitrogen Nutrition State Model Using Spectral Parameters Canopy Cover
TAO Zhi-qiang, Shamim Ara Bagum, MA Wei, ZHOU Bao-yuan, FU Jin-dong, CUI Ri-xian, SUN Xue-fang, ZHAO Ming*
Institute of Crop Sciences, Chinese Academy of Agricultural Sciences，Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing 100081, China
Abstract：In order to explore a non-destructive monitoring technique, the use of digital photo pixels canopy cover (CC) diagnosis and prediction on maize growth and its nitrogen nutrition status. This study through maize canopy digital photo images on relationship between color index in the photo and the leaf area index (LAI), shoot dry matter weight (DM), leaf nitrogen content percentage (N%). The test conducted in the Chinese Academy of Agricultural Science from 2012 to 2013, based on Maize canopy Visual Image Analysis System developed by Visual Basic Version 6. 0, analyzed the correlation of CC, color indices, LAI, DM, N% on maize varieties (Zhongdan909, ZD 909) under three nitrogen levels treatments, furthermore the indicators significantly correlated were fitted with modeling, The results showed that CC had a highly significant correlation with LAI (r=0.93, p<0.01), DM (r=0.94, p<0.01), N% (r=0.82, p<0.01). Estimating the model of LAI, DM and N% by CC were all power function, and the equation respectively were y=3.281 2x0.763 9, y=283.658 1x0.553 6 and y=3.064 5x0.932 9; using independent data from modeling for model validation indicated that R2, RMSE and RE based on 1∶1 line relationship between measured values and simulated values in the model of CC estimating LAI were 0.996, 0.035 and 1.46%; R2, RMSE and RE in the model of CC estimating DM were 0.978, 5.408 g and 2.43%; R2, RMSE and RE in the model of CC estimating N% were 0.990, 0.054 and 2.62%. In summary, the model can comparatively accurately estimate the LAI, DM and N% by CC under different nitrogen levels at maize grain filling stage, indicating that it is feasible to apply digital camera on real-time undamaged rapid monitoring and prediction for maize growth conditions and its nitrogen nutrition status. This research finding is to be verified in the field experiment, and further analyze the applicability throughout the growing period in other maize varieties and different planting density.
Key words：Maize;Canopy image;Canopy cover;Leaf area index;Dry matter weight;Nitrogen
陶志强，Shamim Ara Bagum，马 玮，周宝元，付金东，崔日鲜，孙雪芳，赵 明* . 运用光谱参数冠层覆盖度建立作物长势及氮营养状态模型 [J]. 光谱学与光谱分析, 2016, 36(01): 231-236.
TAO Zhi-qiang, Shamim Ara Bagum, MA Wei, ZHOU Bao-yuan, FU Jin-dong, CUI Ri-xian, SUN Xue-fang, ZHAO Ming* . Establishment of The Crop Growth and Nitrogen Nutrition State Model Using Spectral Parameters Canopy Cover. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(01): 231-236.
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