Data Creator

Creators:

Katherine Evans (0000-0003-2189-5870)

Administering Unit

TIA - Research Institute

Access Rights Statement

This CC license requires that reusers give credit to the creator. It allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, even for commercial purposes.

Additional Keywords disease epidemiology sensors environmental data Vitis grey mould gray mold weather model empirical decision

Description

Data files for field studies of botrytis bunch rot (BBR) in wine grapes, caused by Botrytis cinerea. Studies were conducted in Riesling or Sauvignon Blanc vines in commercial vineyards in Tasmania.

Temporal Extent

2009 to 2019

Methodology

The methodology is decribed in the accepted manuscript: Evans KJ and Pirie AJG (in press) Weather variables for within-vineyard awareness of botrytis risk. Australian Journal of Grape and Wine Research. The decscription of the data files and accompanying data dictionary are provided as supplementary files. Methods (extracted from the supplementary file describing the data files) Data were sampled in the years 2009 to 2014 from eight sites of Vitis vinifera cultivar Riesling, and from one site of cultivar Sauvignon Blanc in 2018-19, in vineyards located near the towns of Kayena (Kay) and Campania (CP) in the Tamar Valley and Coal River Valley of Tasmania, respectively. Each Riesling site was an area of vines of approximately 0.5 ha, referred to as a vineyard block, surrounded by or adjacent to other vineyard blocks within commercially managed vineyards. From 2009 to 2013, all sensors were positioned 1.2 m above ground level. Tiny Tag data loggers measuring air temperature and relative humidity (Gemini Data Loggers, UK, sourced from Hastings Data Loggers Port Macquarie, Australia) were housed within a mini-Stevenson screen. A leaf wetness sensor (Campbell Scientific, Inc., Utah, USA) was set at an angle of 10o to the horizontal to prevent water pooling. A tipping bucket rain gauge was set to tip with 0.2 mm of rainfall. In 2013-14, Campbell Scientific sensors were positioned similarly according to the description of Evans et al. (2019, Aust J Grape Wine Res 25, 201–211). In 2018-19, data were sourced from a weather station maintained on site by the co-operating vineyard. In all cases, sensors were positioned on a vineyard headland and in a way that removed the influence of buildings, vines and/or spray deposits. The sampling frequency for sensor data - the interval between observed results from sensors - varied from 10-15 min. Data were averaged across a sampling period; for example, if the sampling frequency was 15 min, then the average air temperature (observed result) at 1:00 was the average of data available in the period 00:45 to 00:59. Hourly averages were calculated from observed results with hourly statistics calculated in the hour prior to the reported time. For example, an hourly BI reported at 10:00 was calculated using data from 9:00 to 9:59. The start and end of a calendar day was 9:00. Unless specified otherwise, daily values were the derived statistic (e.g. maximum, sum, mean) of all observed results for the previous 24 h reported at 9:00 each day. Time Fraction Wet (TFW) was defined as the proportion of the sampling frequency when the leaf wetness sensor was wet. For Campbell Scientific sensors, TFW is an observed result representing continuous values. If the hourly average TFW was  0.5, then the hour was considered ‘wet’. If TFW < 0.5, then the hour was considered ‘dry’. When relative humidity (RH) was used to estimate surface moisture then RH greater than or equql to 95% was used to classify the hour as ‘wet’. Severity of BBR for each grape bunch was assessed visually with the aid of a standard area diagram as the percentage surface area of exposed berry tissue with BBR symptoms (Hill et al. 2010 ). The sampling regime for assessment of BBR severity in Riesling was the approach described by Evans (2013). The method for sampling and assessment of BBR severity in Sauvignon Blanc is described by Song (2022). Evans, K.J., (2013) Assessing and managing disease-affected fruit in the vineyard: the Australian experience, in: ASVO Seminar Making the Best Out of Difficult Vintages: Managing Sub-Optimal Fruit in the Winery. Australian Society of Viticulture and Oenology, pp. 11–19. Hill, G.N., Beresford, R.M. and Evans, K.J., (2010) Tools for accurate assessment of botrytis bunch rot (Botrytis cinerea) on wine grapes. New Zealand Plant Protection 63, 174–181. Song, X., (2022) On-farm experimentation in the Australian winegrape sector: approaches and opportunities for change. PhD Thesis, University of Tasmania.

Fields of Research 300409 Crop and pasture protection (incl. pests, diseases and weeds) 310805 Plant pathology

Socio-Economic Objectives 260608 Wine grapes