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    Rights statement: 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

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

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Detecting nutrient deficiency in plant systems using synchrotron Fourier-transform infrared microspectroscopy. / Butler, Holly; Adams, Steven; McAinsh, Martin Robert; Martin, Francis Luke.

In: Vibrational Spectroscopy, Vol. 90, 05.2017, p. 46-55.

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@article{6625c99b461e43e1803dfe1a0b160616,
title = "Detecting nutrient deficiency in plant systems using synchrotron Fourier-transform infrared microspectroscopy",
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.",
keywords = "Calcium, Deficiency, Fourier-transform infrared (FTIR) microspectroscopy, Nutrient, Plant, Synchrotron radiation",
author = "Holly Butler and Steven Adams and McAinsh, {Martin Robert} and Martin, {Francis Luke}",
note = "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",
year = "2017",
month = "5",
doi = "10.1016/j.vibspec.2017.03.004",
language = "English",
volume = "90",
pages = "46--55",
journal = "Vibrational Spectroscopy",
issn = "0924-2031",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Detecting nutrient deficiency in plant systems using synchrotron Fourier-transform infrared microspectroscopy

AU - Butler, Holly

AU - Adams, Steven

AU - McAinsh, Martin Robert

AU - Martin, Francis Luke

N1 - 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

PY - 2017/5

Y1 - 2017/5

N2 - 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.

AB - 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.

KW - Calcium

KW - Deficiency

KW - Fourier-transform infrared (FTIR) microspectroscopy

KW - Nutrient

KW - Plant

KW - Synchrotron radiation

U2 - 10.1016/j.vibspec.2017.03.004

DO - 10.1016/j.vibspec.2017.03.004

M3 - Journal article

VL - 90

SP - 46

EP - 55

JO - Vibrational Spectroscopy

JF - Vibrational Spectroscopy

SN - 0924-2031

ER -