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基于傅里叶变换红外光声光谱法(FTIR-PAS)的水稻氮素状况快速诊断

Rapid diagnosis of nitrogen status in rice based on Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS).

作者信息

Wu Ke, Du Changwen, Ma Fei, Shen Yazhen, Liang Dong, Zhou Jianmin

机构信息

1The State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008 China.

2University of Chinese Academy of Sciences, Beijing, 100049 China.

出版信息

Plant Methods. 2019 Aug 19;15:94. doi: 10.1186/s13007-019-0482-0. eCollection 2019.

Abstract

BACKGROUND

An effective and expeditious approach to assess plant nitrogen status is urgently needed in rice production and management as the conventional chemical methods are laborious and time-consuming.

RESULTS

Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS) was used to record the spectra of rice leaves for the effective diagnosis of nitrogen nutrition status. The band in the wavenumber range of 1680 to 1630 cm was associated with amide I and that from 1570 to 1510 cm with amide II. We attempted to use this information to characterize the nitrogen status in rice plants at different growth stages. The ratio of photoacoustic intensity of amide II to amide I was measured and applied as nitrogen status index, and considering the yields, the ratio showed a positive linear correlation (R = 0.9) with the total nitrogen of rice leaves. The ratio at the tillering and full panicle stages were more suitable for diagnosis, a ratio of 0.4-0.55 indicated an adequate nitrogen status, ratios lower than 0.4 indicated a poor nitrogen status; whereas ratios greater than 0.55 indicated excessive nitrogen supply.

CONCLUSION

Our study provides an effective and rapid strategy for nitrogen-supply assessment in rice based on FTIR-PAS, which can guide rational fertilization in rice production.

摘要

背景

由于传统化学方法费力且耗时,水稻生产与管理迫切需要一种有效且快速的方法来评估植株氮素状况。

结果

利用傅里叶变换红外光声光谱(FTIR-PAS)记录水稻叶片光谱,以有效诊断氮素营养状况。波数范围在1680至1630厘米的波段与酰胺I相关,1570至1510厘米的波段与酰胺II相关。我们试图利用这些信息来表征不同生长阶段水稻植株的氮素状况。测量酰胺II与酰胺I的光声强度比并将其用作氮素状况指标,考虑到产量,该比值与水稻叶片全氮呈正线性相关(R = 0.9)。分蘖期和齐穗期的比值更适合用于诊断,比值在0.4 - 0.55表明氮素状况适宜,低于0.4表明氮素状况较差;而高于0.55表明氮素供应过量。

结论

我们的研究基于FTIR-PAS为水稻氮素供应评估提供了一种有效且快速的策略,可指导水稻生产中的合理施肥。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea64/6699123/3230223cb2aa/13007_2019_482_Fig1_HTML.jpg

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