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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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
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 -