Non-destructive measurement of grapevine water potential using near infrared spectroscopy
De Bei, R and Cozzolino, D and Sullivan, W and Cynkar, W and Fuentes, S and Dambergs, R and Pech, J and Tyerman, S, Non-destructive measurement of grapevine water potential using near infrared spectroscopy, Australian Journal of Grape and Wine Research, 17, (1) pp. 62-71. ISSN 1322-7130 (2011) [Refereed Article]
Background and Aims: Near infrared (NIR) spectroscopy techniques are not only used for a variety of physical and
chemical analyses in the food industry, but also in remote sensing studies as tools to predict plant water status. In this
study, NIR spectroscopy was evaluated as a method to estimate water potential of grapevines.
Methods and Results: Cabernet Sauvignon, Chardonnay and Shiraz leaves were scanned using an Integrated
Spectronic (300–1100 nm) or an ASD FieldSpec® 3 (Analytical Spectral Devices, Boulder, Colorado, USA) (350–
1850 nm) spectrophotometer and then measured to obtain midday leaf water potential using a pressure chamber. On
the same shoot, the leaf adjacent the one used for midday leaf water potential measurement was used to measure
midday stem water potential. Calibrations were built and NIR showed good prediction ability (standard error in cross
validation (SECV) <0.24 MPa) for stem water potential for each of the three grapevine varieties. The best calibration
was obtained for the prediction of stem water potential in Shiraz (R = 0.92 and a SECV = 0.09 MPa).
Conclusion: Differences in the NIR spectra were related to the leaf surface from which the spectra were collected,
and this had an effect on the accuracy of the calibration results for water potential. We demonstrated that NIR can
be used as a simple and rapid method to detect grapevine water status.
Significance of the Study: Grapevine water potential can be measured using NIR spectroscopy. The advantages of
this new approach are speed and low cost of analysis. It may be possible for NIR to be used as a non-destructive,
in-field tool for irrigation scheduling.