文献类型： 会议论文
第一作者： Hao Zhang
作者： Hao Zhang 1 ; Lian-feng Zhu 1 ; Hao Hu 2 ; Ke-feng Zheng 2 ; Qian-yu Jin 1 ;
作者机构： 1.State Key Laboratory of Rice Biology, China National Rice Research Institute
2.Key Laboratory of Digital Agriculture, Institute of Digital Agricultural Research, Zhejiang Academy of Agricultural Sciences
关键词： Chlorophyll fluorescence;Leaf;Photosynthesis;Rice;Spectral reflectance
会议名称： International Conference on Advanced in Control Engineering and Information Science
主办单位：
页码： 4401-4406
摘要： Non-destructive and rapid monitoring methods for leaf chlorophyll fluorescence (CF) of rice is significance in estimating rice growing, enhancing more efficient application of agrochemicals and reducing yield loss. The present study investigated the use of physiological indices calculated from spectral reflectance as potential indicators of rice (Oryza sativa L.) photosynthetic apparatus affected by root oxygen and rice types. The experiments showed that spectral reflectance and leaf chlorophyll fluorescence changed with different treatments. Principal component analysis (PCA) method was used to select the key spectral ranges of leaf chlorophyll fluorescence. Based on the PCA, 7 key spectral indices (SI) were selected to monitor leaf CF. In these SI, (R_(680) - R_(935))/(R_(680) + R_(935)) and R_(680)/R_(935) have higher R and lower RMSE, could be used for monitoring chlorophyll fluorescence, such as Fo, Fm, Fv/Fm, and Fv/Fo, while ΦPSII and NPQ could be detected by (R_(800) - R_(445))/(R_(800) - R_(680)) and (R780 - R_(710))/(R_(780) - R_(680)) respectively. Therefore, it was implied that chlorophyll fluorescence of rice response to root oxygen stress could be detected by remote sensing.
分类号： tp273-53
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