Measurement of the concentration of nutrients in grapevine petioles by attenuated total reflectance Fourier transform infrared spectroscopy and chemometrics

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Background and Aims : We determined the effectiveness of attenuated total reflectance Fourier transform infrared spectroscopy as a rapid and low‐cost method for measuring the concentration of nutrients in grapevine petioles.
Methods and Results: Attenuated total reflectance Fourier transform infrared spectra were recorded for 392 dried and ground petiole samples collected from Chardonnay, Semillon and Shiraz vineyards in the Riverina between 2003 and 2010. Predictive models of nutrient concentration obtained with standard reference methods were developed using partial least squares regression. Good predictive models were produced for all macronutrients, with R2 values for nitrogen (N), phosphorus (P), potassium (K), magnesium (Mg), calcium (Ca) and sulfur (S) of 0.945, 0.915, 0.951, 0.961, 0.940 and 0.849, respectively. For sodium (Na) and the micronutrients iron (Fe), manganese (Mn), boron (B), copper (Cu) and zinc (Zn), R2 values were 0.773, 0.750, 0.743, 0.630, 0.612 and 0.835, respectively. When ranked according to the residual predictive deviation, expressed as the ratio of the standard error of performance to the calibration set standard deviation, values of 5.4, 3.8, 3.1, 3.8 and 3.5 were obtained for N, P, K, Mg and Ca, respectively; intermediate values of 2.4, 2.0 and 1.8 were obtained for S, Zn and Na, while Fe, Mn, B, Cu had a value of 1.3 or below.
Conclusion: All macronutrients in grapevine petiole tissue can be determined by attenuated total reflectance Fourier transform infrared spectroscopy with sufficient accuracy to assess grapevine nutritional status against standard interpretive ranges. Certain micronutrients can also be determined, although the predictive models for these elements were not as robust as models for the macronutrients.
Original languageEnglish
Pages (from-to)299-309
Number of pages11
JournalAustralian Journal of Grape and Wine Research
Volume20
Issue number2
DOIs
Publication statusPublished - Jun 2014

Fingerprint

chemometrics
Fourier transform infrared spectroscopy
petioles
reflectance
nutrient content
dietary minerals
manganese
magnesium
zinc
calcium
reference standards
boron
vineyards
nutritional status
least squares
sulfur
calibration
copper
methodology
potassium

Cite this

@article{7b315b8dd9c543c9a9feea9364900327,
title = "Measurement of the concentration of nutrients in grapevine petioles by attenuated total reflectance Fourier transform infrared spectroscopy and chemometrics",
abstract = "Background and Aims : We determined the effectiveness of attenuated total reflectance Fourier transform infrared spectroscopy as a rapid and low‐cost method for measuring the concentration of nutrients in grapevine petioles.Methods and Results: Attenuated total reflectance Fourier transform infrared spectra were recorded for 392 dried and ground petiole samples collected from Chardonnay, Semillon and Shiraz vineyards in the Riverina between 2003 and 2010. Predictive models of nutrient concentration obtained with standard reference methods were developed using partial least squares regression. Good predictive models were produced for all macronutrients, with R2 values for nitrogen (N), phosphorus (P), potassium (K), magnesium (Mg), calcium (Ca) and sulfur (S) of 0.945, 0.915, 0.951, 0.961, 0.940 and 0.849, respectively. For sodium (Na) and the micronutrients iron (Fe), manganese (Mn), boron (B), copper (Cu) and zinc (Zn), R2 values were 0.773, 0.750, 0.743, 0.630, 0.612 and 0.835, respectively. When ranked according to the residual predictive deviation, expressed as the ratio of the standard error of performance to the calibration set standard deviation, values of 5.4, 3.8, 3.1, 3.8 and 3.5 were obtained for N, P, K, Mg and Ca, respectively; intermediate values of 2.4, 2.0 and 1.8 were obtained for S, Zn and Na, while Fe, Mn, B, Cu had a value of 1.3 or below.Conclusion: All macronutrients in grapevine petiole tissue can be determined by attenuated total reflectance Fourier transform infrared spectroscopy with sufficient accuracy to assess grapevine nutritional status against standard interpretive ranges. Certain micronutrients can also be determined, although the predictive models for these elements were not as robust as models for the macronutrients.",
keywords = "Attenuated total reflectance Fourier transform infrared spectroscopy, Concentration of nutrient, Grapevine, Partial least squares regression, Petiole, Plant nutrition",
author = "Jason Smith and Leigh Schmidtke and Markus Mueller and Bruno Holzapfel",
note = "Includes bibliographical references.",
year = "2014",
month = "6",
doi = "10.1111/ajgw.12072",
language = "English",
volume = "20",
pages = "299--309",
journal = "Australian Journal of Grape and Wine Research",
issn = "1322-7130",
publisher = "Wiley-Blackwell",
number = "2",

}

TY - JOUR

T1 - Measurement of the concentration of nutrients in grapevine petioles by attenuated total reflectance Fourier transform infrared spectroscopy and chemometrics

AU - Smith, Jason

AU - Schmidtke, Leigh

AU - Mueller, Markus

AU - Holzapfel, Bruno

N1 - Includes bibliographical references.

PY - 2014/6

Y1 - 2014/6

N2 - Background and Aims : We determined the effectiveness of attenuated total reflectance Fourier transform infrared spectroscopy as a rapid and low‐cost method for measuring the concentration of nutrients in grapevine petioles.Methods and Results: Attenuated total reflectance Fourier transform infrared spectra were recorded for 392 dried and ground petiole samples collected from Chardonnay, Semillon and Shiraz vineyards in the Riverina between 2003 and 2010. Predictive models of nutrient concentration obtained with standard reference methods were developed using partial least squares regression. Good predictive models were produced for all macronutrients, with R2 values for nitrogen (N), phosphorus (P), potassium (K), magnesium (Mg), calcium (Ca) and sulfur (S) of 0.945, 0.915, 0.951, 0.961, 0.940 and 0.849, respectively. For sodium (Na) and the micronutrients iron (Fe), manganese (Mn), boron (B), copper (Cu) and zinc (Zn), R2 values were 0.773, 0.750, 0.743, 0.630, 0.612 and 0.835, respectively. When ranked according to the residual predictive deviation, expressed as the ratio of the standard error of performance to the calibration set standard deviation, values of 5.4, 3.8, 3.1, 3.8 and 3.5 were obtained for N, P, K, Mg and Ca, respectively; intermediate values of 2.4, 2.0 and 1.8 were obtained for S, Zn and Na, while Fe, Mn, B, Cu had a value of 1.3 or below.Conclusion: All macronutrients in grapevine petiole tissue can be determined by attenuated total reflectance Fourier transform infrared spectroscopy with sufficient accuracy to assess grapevine nutritional status against standard interpretive ranges. Certain micronutrients can also be determined, although the predictive models for these elements were not as robust as models for the macronutrients.

AB - Background and Aims : We determined the effectiveness of attenuated total reflectance Fourier transform infrared spectroscopy as a rapid and low‐cost method for measuring the concentration of nutrients in grapevine petioles.Methods and Results: Attenuated total reflectance Fourier transform infrared spectra were recorded for 392 dried and ground petiole samples collected from Chardonnay, Semillon and Shiraz vineyards in the Riverina between 2003 and 2010. Predictive models of nutrient concentration obtained with standard reference methods were developed using partial least squares regression. Good predictive models were produced for all macronutrients, with R2 values for nitrogen (N), phosphorus (P), potassium (K), magnesium (Mg), calcium (Ca) and sulfur (S) of 0.945, 0.915, 0.951, 0.961, 0.940 and 0.849, respectively. For sodium (Na) and the micronutrients iron (Fe), manganese (Mn), boron (B), copper (Cu) and zinc (Zn), R2 values were 0.773, 0.750, 0.743, 0.630, 0.612 and 0.835, respectively. When ranked according to the residual predictive deviation, expressed as the ratio of the standard error of performance to the calibration set standard deviation, values of 5.4, 3.8, 3.1, 3.8 and 3.5 were obtained for N, P, K, Mg and Ca, respectively; intermediate values of 2.4, 2.0 and 1.8 were obtained for S, Zn and Na, while Fe, Mn, B, Cu had a value of 1.3 or below.Conclusion: All macronutrients in grapevine petiole tissue can be determined by attenuated total reflectance Fourier transform infrared spectroscopy with sufficient accuracy to assess grapevine nutritional status against standard interpretive ranges. Certain micronutrients can also be determined, although the predictive models for these elements were not as robust as models for the macronutrients.

KW - Attenuated total reflectance Fourier transform infrared spectroscopy

KW - Concentration of nutrient

KW - Grapevine

KW - Partial least squares regression

KW - Petiole

KW - Plant nutrition

U2 - 10.1111/ajgw.12072

DO - 10.1111/ajgw.12072

M3 - Article

VL - 20

SP - 299

EP - 309

JO - Australian Journal of Grape and Wine Research

JF - Australian Journal of Grape and Wine Research

SN - 1322-7130

IS - 2

ER -