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Comparison of methods for the quantification of botrytis bunch rot in white wine grapes


Hill, GN and Evans, KJ and Beresford, RM and Dambergs, RG, Comparison of methods for the quantification of botrytis bunch rot in white wine grapes, Australian Journal of Grape and Wine Research, 20, (3) pp. 432-441. ISSN 1322-7130 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 Australian Society of Citiculture and Oenology Inc.

DOI: doi:10.1111/ajgw.12101


Background and Aims: Quantification of botrytis bunch rot (BBR) in wine grapes, caused by Botrytis cinerea, is commonly done by visual estimation of the proportion of the area of individual bunches affected by BBR. Visual estimation was compared with four other quantification methods: digital image analysis, near-infrared and mid-infrared spectroscopy, and quantitative real-time polymerase chain reaction.

Methods and Results: Visual estimation was found to vary significantly (P < 0.05) among assessors. Image analysis software (RotBot) was developed to measure BBR severity from digital images of grape bunches. A published quantitative real-time polymerase chain reaction method was modified for use with mature grape berries. All quantification methods showed a significant relationship (P < 0.05) with visual estimation.

Conclusions: Near-infrared and mid-infrared spectroscopy require further calibration to quantify accurately BBR of low severity. Quantitative real-time polymerase chain reaction was the most accurate method but is unsuitable for routine use in the vineyard. RotBot was the most suitable and practical alternative to visual estimation, requiring no specialised equipment.

Significance of the Study: Visual estimation was demonstrated to be prone to assessor bias. RotBot software is a suitable alternative that can be implemented immediately for objective quantification of BBR severity in white wine grapes. RotBot could be developed further and deployed in mobile devices for rapid sensing in the vineyard and easy collection of disease assessment data by wineries.

Item Details

Item Type:Refereed Article
Keywords:botrytis bunch rot, Botrytis cinerea, disease quantification, grey mould
Research Division:Biological Sciences
Research Group:Plant biology
Research Field:Plant pathology
Objective Division:Plant Production and Plant Primary Products
Objective Group:Industrial crops
Objective Field:Wine grapes
UTAS Author:Hill, GN (Mr Gareth Hill)
UTAS Author:Evans, KJ (Associate Professor Katherine Evans)
UTAS Author:Dambergs, RG (Dr Robert Dambergs)
ID Code:95176
Year Published:2014
Web of Science® Times Cited:7
Deposited By:Tasmanian Institute of Agriculture
Deposited On:2014-09-26
Last Modified:2017-10-31

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