Nitrogen Status Determination of Rice by Leaf Chlorophyll Fluorescence and Reflectance Properties
文献类型: 外文期刊
作者: Hu, Hao 1 ; Zheng, Kefeng 1 ; Zhang, Xiaoming 2 ; Lu, Yanting 2 ; Zhang, Hao 1 ;
作者机构: 1.Zhejiang Acad Agr Sci, Inst Digital Agr, Hangzhou 310021, Zhejiang, Peoples R China
2.Zhejiang Acad Agr Sci, Inst Crops & Nucl Technol Utilizat, Hangzhou 310021, Zhejiang, Peoples R China
关键词: Nitrogen Status;Leaf Reflectance;Chlorophyll Fluorescence;Rice;REP;F_v/F_m
期刊名称:SENSOR LETTERS ( 影响因子:0.558; 五年影响因子:0.58 )
ISSN:
年卷期:
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收录情况: SCI
摘要: An experiment was conducted under pot-culture conditions to determine rice nitrogen (N) status by leaf chlorophyll fluorescence and reflectance properties. Three rice cultivars, Zhejing 22, Zhejing 29 and Xiushui 09 were transplanted in 45 twelve-liter pots filled with local paddy soil. Each had three nitrogen rate, 0, 75 and 150 kg N ha~(-1). Fertilization application was carried out in tillering period and spectral reflectance, chlorophyll fluorescence and nitrogen content of the uppermost, fully expanded leaves were determined in jointing stage. Spectral reflectance indices R_(550) (Reflectance at 550 nm), REP (Red edge position), NRI (Nitrogen reflectance index), and PRI (Photochemical reflectance index) were well correlated with leaf nitrogen content of rice with the R~2 0.628-0.751**, 0.771-865**, 0.558-0.813** and 0.347*-0.589**. Chlorophyll fluorescence parameters F_v/F_m (Maximal photochemical efficiency of PSII) rather than F_0 (Initial fluorescence), F_m (Maximal fluorescence) and Yield (Light adapted quantum yield) also can predict leaf nitrogen status, but the determine coefficient was lower in comparison with spectral indices REP, R_(500) and NRI. Reflectance measurements show better performance in estimating nitrogen status than chlorophyll fluorescence methods. There was close linear relation between F_m and leaf spectral reflectance in the range of 400-1100 nm. In conclusion, leaf reflectance indices R_(550), REP, NRI, PRI and chlorophyll fluorescence parameters F_v/F_m may be useful for rapid, timely and non-destructive estimation of rice leaf N status.
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