Raman Spectroscopy Enables Non-invasive and Confirmatory Diagnostics of Salinity Stresses, Nitrogen, Phosphorus, and Potassium Deficiencies in Rice.

Raman spectroscopy non-invasive diagnostics nutrient deficiency rice salinity stress

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2020
Historique:
received: 16 06 2020
accepted: 30 09 2020
entrez: 16 11 2020
pubmed: 17 11 2020
medline: 17 11 2020
Statut: epublish

Résumé

Proper management of nutrients in agricultural systems is critically important for maximizing crop yields while simultaneously minimizing the health and environmental impacts of pollution from fertilizers. These goals can be achieved by timely confirmatory diagnostics of nutrient deficiencies in plants, which enable precise administration of fertilizers and other supplementation in fields. Traditionally, nutrient diagnostics are performed by wet-laboratory analyses, which are both time- and labor-consuming. Unmanned aerial vehicle (UAV) and satellite imaging have offered a non-invasive alternative. However, these imaging approaches do not have sufficient specificity, and they are only capable of detecting symptomatic stages of nutrient deficiencies. Raman spectroscopy (RS) is a non-invasive and non-destructive technique that can be used for confirmatory detection and identification of both biotic and abiotic stresses on plants. Herein, we show the use of a hand-held Raman spectrometer for highly accurate pre-symptomatic diagnostics of nitrogen, phosphorus, and potassium deficiencies in rice (

Identifiants

pubmed: 33193509
doi: 10.3389/fpls.2020.573321
pmc: PMC7642205
doi:

Types de publication

Journal Article

Langues

eng

Pagination

573321

Informations de copyright

Copyright © 2020 Sanchez, Ermolenkov, Biswas, Septiningsih and Kurouski.

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Auteurs

Lee Sanchez (L)

Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, United States.

Alexei Ermolenkov (A)

Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, United States.

Sudip Biswas (S)

Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, United States.

Endang M Septiningsih (EM)

Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, United States.

Dmitry Kurouski (D)

Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, United States.
The Institute for Quantum Science and Engineering, Texas A&M University, College Station, TX, United States.

Classifications MeSH