Abstract
This study reports correlative information between leaf water potential (ψ), total leaf area of draughted grapevines (Vitis vinifera L.) and non-destructive image analysis techniques. Four groups of 20 potted vines each were subjected to various irrigation treatments restoring 100% (control), 75%, 50% and 25% of daily water consumption within a 22-day period of drought imposition. Leaf gas exchanges (Li-Cor 6400), ψ (Scholander chamber), fluorescence (PAM − 2500), RGB and NIR (Scanalyzer 3D system, LemnaTec GmbH phenotyping platform) data were collected before and at the end of drought imposition. Values of ψ in severely stressed vines (25%) reached −1.2 MPa pre-dawn, in turn stomatal conductance and photosynthesis reached values as low as approx. 0.02 mol H2O m−2 s−1 and 1.0 μmol CO2 m−2 s−1, respectively. The high-throughput analysis preliminarily revealed a correlation between ψ (stem) and NIR Color Class (R2=0.80), and that plant leaf area might be accurately estimated through imagine analysis (R2=0.90).
Highlights
Precision agriculture is emerging as smart technology to assist in reducing environmental impact of agricultural practices and improving quality of products [1]
Image analysis techniques will play a critical role in supporting precision farming irrigation scheduling
After an approx. 20-day period of drought imposition, gs and photosynthesis rate (Pn) significantly decreased in stressed vines compared to control ones (Fig. 2A and B) according to previous study in water relations [e.g., 12]
Summary
Precision agriculture is emerging as smart technology to assist in reducing environmental impact of agricultural practices and improving quality of products [1]. In this context, image analysis techniques will play a critical role in supporting precision farming irrigation scheduling. Through the use of plant phenotyping platforms, it could be possible to study the effect of several abiotic stresses on plant growth and performance based on multi-spectrum high-throughput (HTP) image analysis in order to investigate some plant morphometric and physiological traits [2]. Classification and quantification of physiological and phenotypical plant traits could explain drought stress responses and assist in developing new tools for precision irrigation in a HTP domain
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