Preliminary high-throughput phenotyping analysis in grapevines under drought

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 H 2 O m −2 s −1 and 1.0 μmol CO 2 m −2 s −1 , respectively. The high-throughput analysis preliminarily revealed a correlation between ψ (stem) and NIR Color Class ( R 2 =0.80), and that plant leaf area might be accurately estimated through imagine analysis ( R 2 =0.90).