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Analysing the effect of paddy rice variety on fluorescence characteristics for nitrogen application monitoring.


ABSTRACT: Paddy rice is one of the most important cereal crops worldwide, so it is very important to accurately monitor its growth status and photosynthetic efficiency. The nitrogen (N) level is a key factor closely related to crop growth. In this study, laser-induced fluorescence (LIF) technology combined with multi-variate analysis was applied to investigate the effect of paddy rice variety on N fertilizer level monitoring. Principal components analysis was conducted to extract the variables of the main fluorescence characteristics to identify N levels. Experimental results demonstrated that no nitrogen fertilizer can be completely identified for each paddy rice variety. In addition, other N levels can also be well classified based on the fluorescence characteristics. The relationship between the fluorescence ratio (F735/F685?:?F735, and F685 denote the fluorescence intensity at 735?nm, and 685?nm, respectively) and leaf N content of different paddy rice varieties is also discussed. Experimental results revealed that LIF technology is an effective method of monitoring the N fertilizer and leaf biochemical components of paddy rice.

SUBMITTER: Shen C 

PROVIDER: S-EPMC6030289 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Analysing the effect of paddy rice variety on fluorescence characteristics for nitrogen application monitoring.

Shen Chaoyong C   Feng Zhongke Z   Zhou Daoqin D  

Royal Society open science 20180627 6


Paddy rice is one of the most important cereal crops worldwide, so it is very important to accurately monitor its growth status and photosynthetic efficiency. The nitrogen (N) level is a key factor closely related to crop growth. In this study, laser-induced fluorescence (LIF) technology combined with multi-variate analysis was applied to investigate the effect of paddy rice variety on N fertilizer level monitoring. Principal components analysis was conducted to extract the variables of the main  ...[more]

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