Characterization and protein fingerprinting of Botrytis cinerea isolates /

Botrytis cinerea isolates collected from Niagara region were treated with different concentrations of the fiingicide, iprodione to test their sensitivity to this fungicide. These Botrytis cinerea isolates were divided into two groups according to their sensitivity to iprodione. Those isolates whose growth was inhibited by iprodione at concentrations < 2|i,g/nil were classified as sensitive isolates. Isolates that were able to show considerable growth at 2|j,g/ml iprodione were classified as resistant isolates. Resistant and sensitive isolates were compared for their morphological and growth characteristics, conidial germination, virulence on grape berries and protein banding profiles. The fungicide iprodione at a concentration of 2|xg/nil inhibited mycelial growth, sporulation and conidial germination of sensitive isolates but not those of resistant isolates. The inhibitory effect of the fungicide was greater on mycelial growth than on conidia germination of the sensitive isolates. Sensitive isolates produced no sclerotia whereas resistant isolates produced large number of sclerotia. The fungicide iprodione affected sclerotial production in the resistant isolates. The number of sclerotia was decreased by the increase of iprodione in the medium. Sporulation of resistant isolates was improved significantly in the presence of iprodione. The resistant isolates were as virulent as the sensitive isolates on grape berries. The sensitive and resistant isolates showed similar protein banding profiles in the absence of iprodione in polyacrylamide gel electrophoresis studies. Similar protein profiles were also observed when these isolates were grown in the presence of low iprodione concentration (0.5|ig/nil). However, in the presence of concentration (0.5|ig/nil). However, in the presence of iprodione at concentration of 5|Xg/nil, one protein band with approximate molecular weight of 83 KDa was present in the growing resistant isolates (and the controls) but was missing in the inhibited sensitive isolates.

Using GPS, GIS & remote sensing to understand Niagara Terroir : Pinot noir in the Four Mile Creek & St. David's Bench sub-appellations

The relationships between vine water status, soil texture, and vine size were observed in four Niagara, Ontario Pinot noir vineyards in 2008 and 2009. The vineyards were divided into water status zones using geographic information systems (GIS) software to map the seasonal mean midday leaf water potential (,P), and dormant pruning shoot weights following the 2008 season. Fruit was harvested from all sentinel vines, bulked by water status zones and made into wine. Sensory analysis included a multidimensional sorting (MDS) task and descriptive analysis (DA) of the 2008 wines. Airborne multispectral images, with a spatial resolution of 38 cm, were captured four times in 2008 and three times in 2009, with the final flights around veraison. A semi-automatic process was developed to extract NDVI from the images, and a masking procedure was identified to create a vine-only NDVI image. 2008 and 2009 were cooler and wetter than mean years, and the range of water status zones was narrow. Yield per vine, vine size, anthocyanins and phenols were the least consistent variables. Divided by water status or vine size, there were no variables with differences between zones in all four vineyards in either year. Wines were not different between water status zones in any chemical analysis, and HPLC revealed that there were no differences in individual anthocyanins or phenolic compounds between water status zones within the vineyard sites. There were some notable correlations between vineyard and grape composition variables, and spatial trends were observed to be qualitatively related for many of the variables. The MDS task revealed that wines from each vineyard were more affected by random fermentation effects than water status effects. This was confirmed by the DA; there were no differences between wines from the water status zones within vineyard sites for any attribute. Remotely sensed NDVI (normalized difference vegetation index) correlated reasonably well with a number of grape composition variables, as well as soil type. Resampling to a lower spatial resolution did not appreciably affect the strength of correlations, and corresponded to the information contained in the masked images, while maintaining the range of values of NDVI. This study showed that in cool climates, there is the potential for using precision viticulture techniques to understand the variability in vineyards, but the variable weather presents a challenge for understanding the driving forces of that variability.

Using GPS, GIS & remote sensing to understand Niagara Terroir

The focus of this study was to detennine whether soil texture and composition variables were related to vine water status and both yield components and grape composition, and whether multispectral high definition airborne imagery could be used to segregate zones in vineyards to target fruit of highest quality for premium winemaking. The study took place on a 10-ha commercial Riesling vineyard at Thirty Bench Winemakers, in Beamsville (Ontario). Results showed that Soil moisture and leaf'l' were temporally stable and related to berry composition and remotely-sensed data. Remote-sensing, through the calculation of vegetation indices, was particularly useful to predict vine vigor, yield, fruit maturity as well as berry monoterpene concentration; it could also clearly assist in making wines that are more representative ofthe cultivar used, and also wines that are a reflection of a specific terroir, since calculated vegetation indices were highly correlated to typical Riesling.