The experiments were conducted in a fully-productive olive orchard (cv. Frantoio) at the experimental farm of University of Pisa at Venturina (Italy) in 2015 to assess the ability of an unmanned aerial vehicle (UAV) equipped with RGB-NIR cameras to estimate leaf area index (LAI), tree height, canopy diameter and canopy volume of olive trees that were either irrigated or rainfed. Irrigated trees received water 4–5 days a week (1348 m3 ha-1), whereas the rainfed ones received a single irrigation of 19 m3 ha-1 to relieve the extreme stress. The flight altitude was 70 m above ground level (AGL), except for one flight (50 m AGL). The Normalized Difference Vegetation Index (NDVI) was calculated by means of the map algebra technique. Canopy volume, canopy height and diameter were obtained from the digital surface model (DSM) obtained through automatic aerial triangulation, bundle block adjustment and camera calibration methods. The NDVI estimated on the day of the year (DOY) 130 was linearly correlated with both LAI and leaf chlorophyll measured on the same date (R2 = 0.78 and 0.80, respectively). The correlation between the on ground measured canopy volumes and the ones by the UAV-RGB camera techniques yielded an R2 of 0.71–0.86. The monthly canopy volume increment estimated from UAV surveys between (DOY) 130 and 244 was highly correlated with the daily water stress integral of rainfed trees (R2 = 0.99). The effect of water stress on the seasonal pattern of canopy growth was detected by these techniques in correspondence of the maximum level of stress experienced by the rainfed trees. The highest level of accuracy (RMSE = 0.16 m) in canopy height estimation was obtained when the flight altitude was 50 m AGL, yielding an R2 value of 0.87 and an almost 1:1 ratio of measured versus estimated canopy height.
Background and Aims: Early defoliation has been proposed as a tool to reduce bunch susceptibility to fungal infections through a reduction in bunch compactness. This research aims to determine the desired level of defoliation producing looser bunches and to investigate the impact of the application of early defoliation on Pinot Noir vines under cool climate conditions. Methods and Results: We applied leaf removal treatments at full flowering or EL-20 phenological stage on Pinot Noir in 2 consecutive years using five levels of defoliation: no leaves removed, and leaves removed from four, six, eight and ten basal nodes. The effects on fruitset, bunch morphology, fruit chemistry, yield and rot severity were recorded. We identified the defoliation of eight basal nodes as the threshold resulting in significantly lower fruitset. The removal of eight or ten leaves reduced bunch compactness but did not alter the proportion of rot. Finally, fruit composition at harvest of the treated vines was found to be improved compared with that of the control vines. Conclusions: The defoliation of six to eight basal nodes at full flowering can regulate fruitset and bunch compactness in Pinot Noir under cool climate conditions. Application over 2 years showed no adverse effects on bud fruitfulness or vine performance the following year. Significance of the Study: Early leaf removal can be an efficient tool to alter bunch architecture, yield and fruit composition without impacting vine health.
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