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Rapid diagnosis of nitrogen status in rice based on Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS)
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 t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699123/ https://www.ncbi.nlm.nih.gov/pubmed/31452670 http://dx.doi.org/10.1186/s13007-019-0482-0 |
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author | Wu, Ke Du, Changwen Ma, Fei Shen, Yazhen Liang, Dong Zhou, Jianmin |
author_facet | Wu, Ke Du, Changwen Ma, Fei Shen, Yazhen Liang, Dong Zhou, Jianmin |
author_sort | Wu, Ke |
collection | PubMed |
description | 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(−1) was associated with amide I and that from 1570 to 1510 cm(−1) 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(2) = 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13007-019-0482-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6699123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66991232019-08-26 Rapid diagnosis of nitrogen status in rice based on Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS) Wu, Ke Du, Changwen Ma, Fei Shen, Yazhen Liang, Dong Zhou, Jianmin Plant Methods Research 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(−1) was associated with amide I and that from 1570 to 1510 cm(−1) 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(2) = 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13007-019-0482-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-19 /pmc/articles/PMC6699123/ /pubmed/31452670 http://dx.doi.org/10.1186/s13007-019-0482-0 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Wu, Ke Du, Changwen Ma, Fei Shen, Yazhen Liang, Dong Zhou, Jianmin Rapid diagnosis of nitrogen status in rice based on Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS) |
title | Rapid diagnosis of nitrogen status in rice based on Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS) |
title_full | Rapid diagnosis of nitrogen status in rice based on Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS) |
title_fullStr | Rapid diagnosis of nitrogen status in rice based on Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS) |
title_full_unstemmed | Rapid diagnosis of nitrogen status in rice based on Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS) |
title_short | Rapid diagnosis of nitrogen status in rice based on Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS) |
title_sort | rapid diagnosis of nitrogen status in rice based on fourier transform infrared photoacoustic spectroscopy (ftir-pas) |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699123/ https://www.ncbi.nlm.nih.gov/pubmed/31452670 http://dx.doi.org/10.1186/s13007-019-0482-0 |
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