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Near and mid-infrared spectroscopy for the quantification of botrytis bunch rot in white wine grapes

Citation

Hill, GN and Evans, KJ and Beresford, RM and Dambergs, RG, Near and mid-infrared spectroscopy for the quantification of botrytis bunch rot in white wine grapes, Journal of Near Infrared Spectroscopy, 21, (6) pp. 467-475. ISSN 0967-0335 (2013) [Refereed Article]

Copyright Statement

Copyright 2013 IMP Publications

DOI: doi:10.1255/jnirs.1083

Abstract

Botrytis bunch rot (BBR), one of the most important diseases of wine grapes, is usually quantified in the vineyard by visual estimation of percentage disease severity on individual grape bunches. This method is prone to assessor error and there is a need for a more objective quantification method that is cost-effective and practical. Near infrared (NIR; 800-2690 nm) and mid-infrared (mid-IR; 2510-25,770 nm) spectroscopy were investigated as alternatives to visual estimation. Partial least squares (PLS) analysis of the NIR and mid-IR spectra from near-ripe grape bunches from Tasmanian vineyards was used to generate prediction models from both raw data and data pre-processed using the Savitzky-Golay derivative. The entire spectral range for each spectral region was analysed first, after which specific spectral ranges were analysed based on their influence on the initial PLS analysis. The spectral range of 1260-1370 nm with Savitzky-Golay smoothing and first derivative pre-processing produced the PLS model with the highest predictive ability in the NIR spectral region, with a ratio of standard error of prediction to standard deviation (RPD) of 2.2. The spectral range of 8760-9520 nm with Savitzky-Golay smoothing and first derivative pre-processing produced the PLS model with the highest predictive ability in the mid-IR spectral region, with a RPD of 1.7. Both methods demonstrated the potential for spectroscopic quantification of BBR. However, further calibration is required to increase the accuracy of these models, particularly at low BBR severities, if they are to be considered suitable for use in the vineyard.

Item Details

Item Type:Refereed Article
Keywords:botrytis bunch rot, infrared spectroscopy, regression modelling, wine grapes
Research Division:Agricultural and Veterinary Sciences
Research Group:Horticultural Production
Research Field:Oenology and Viticulture
Objective Division:Plant Production and Plant Primary Products
Objective Group:Industrial Crops
Objective Field:Wine Grapes
Author:Hill, GN (Mr Gareth Hill)
Author:Evans, KJ (Dr Katherine Evans)
Author:Dambergs, RG (Dr Robert Dambergs)
ID Code:89341
Year Published:2013
Web of Science® Times Cited:4
Deposited By:Tasmanian Institute of Agriculture
Deposited On:2014-03-03
Last Modified:2018-03-15
Downloads:0

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