Measurement of the concentration of nutrients in grapevine petioles by attenuated total reflectance Fourier transform infrared spectroscopy and chemometrics
Article first published online: 10 APR 2014
© 2014 Australian Society of Viticulture and Oenology Inc.
Australian Journal of Grape and Wine Research
Volume 20, Issue 2, pages 299–309, June 2014
How to Cite
Smith, J.P., Schmidtke, L.M., Müller, M.C. and Holzapfel, B.P. (2014), Measurement of the concentration of nutrients in grapevine petioles by attenuated total reflectance Fourier transform infrared spectroscopy and chemometrics. Australian Journal of Grape and Wine Research, 20: 299–309. doi: 10.1111/ajgw.12072
- Issue published online: 23 MAY 2014
- Article first published online: 10 APR 2014
- Manuscript Accepted: 3 OCT 2013
- Manuscript Revised: 10 SEP 2013
- Manuscript Received: 20 JUN 2013
- Grape and Wine Research and Development Corporation
- Australian Government
- Commonwealth Cooperative Research Centre for Viticulture Program
- attenuated total reflectance Fourier transform infrared spectroscopy;
- concentration of nutrient;
- partial least squares regression;
- plant nutrition
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.
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.
Significance of Study
The study presents a rapid, low-cost and easy-to-implement technique suited to the widespread adoption and routine analysis of plant tissue for the management of grapevine nutrition in the Australian winegrape vineyards.