Detecting nutrient deficiency in plant systems using synchrotron Fourier-transform infrared microspectroscopy

Butler, Holly and Adams, Steven and McAinsh, Martin Robert and Martin, Francis Luke (2017) Detecting nutrient deficiency in plant systems using synchrotron Fourier-transform infrared microspectroscopy. Vibrational Spectroscopy, 90. pp. 46-55. ISSN 0924-2031

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Abstract

By 2050, it is estimated that the global population will have surpassed 9 billion people, presenting a significant challenge with regards to food security. In order to provide sufficient quantities of nutritious food in the future, it is necessary to improve agricultural productivity by up to 70%. Nutrient deficiencies are one particular threat to food security that can have a negative impact on crop yield and quality. Currently the standard agricultural approach to prevention is to supply an excess macronutrient fertiliser, such as nitrate or phosphate, during crop production. However, the efficiency of this approach is poor as deficiencies of specific nutrients, such as Ca, are not prevented in this circumstance, and fertiliser use is associated with a host of adverse environmental impacts. Herein, we describe a novel method to detect Ca deficiency using synchrotron radiation-based Fourier-transform infrared (FTIR) microspectroscopy in live and fixed tissue of the model plant Commelina communis, as a precursor to targeted nutrient remediation in the field.

Item Type:
Journal Article
Journal or Publication Title:
Vibrational Spectroscopy
Additional Information:
This is the author’s version of a work that was accepted for publication in Vibrational Spectroscopy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Vibrational Spectroscopy, 90, 2017 DOI: 10.1016/j.vibspec.2017.03.004
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1600/1607
Subjects:
ID Code:
85623
Deposited By:
Deposited On:
21 Mar 2017 09:12
Refereed?:
Yes
Published?:
Published
Last Modified:
27 Sep 2020 03:49