Imaging grapevine stress physiology for improved drought prediction and management
Abstract
Drought stress is the most important global challenge for plant production. Also in Austria, uncertainty in water supply is an increasing challenge for agriculture. Thus, there is high need for novel approaches to sustain farmers in better adapting to and managing climate change related stresses like drought and heat in both annual as well as perennial crops such as grapevine. Improving plant resistance to drought requires improving physiological defence mechanisms that help plants to avoid damage during stress periods. To do so, however improved measurement methods to better understand, monitor and predict plant response to drought are required. Current physiological methods are mostly limited to measure single plants and are often hardly applicable under field conditions. The application of imaging sensors in plant sciences could provide improved solutions to advance towards monitoring plant physiology. This dissertation aims to develop a novel multimodal imaging approach combining different wavelength spectra – visible, near infrared, shortwave infrared and thermal – to capture distinctive physiological traits of grapevine. The thesis will first develop imaging-based models to capture the key drought response function at the single leaf scale. These models will then be applied to monitor leaf canopies of grapevine during drought stress and recovery in the climate chamber to test early stress detection via high spatial resolution datasets. Finally, the approach is used in the field to identify rootstocks with superior physiological defence against drought and to assist in irrigation scheduling via image-based stress monitoring. It can be expected that the innovative multimodal imaging setup combined with advanced data-analytical methods will provide an important advance for plant phenotyping, drought monitoring and contribute to the adaptation of grapevine/crop production to climate change.
keywords Drought stress Image analysis Grapevine Plnat physiology Phenotyping Drought stress Image analysis Grapevine Plnat physiology Phenotyping
Publikationen
Project staff
Gernot Bodner
Priv.-Doz. Dr. Gernot Bodner
gernot.bodner@boku.ac.at
Tel: +43 1 47654-95115
Project Leader
01.05.2021 - 30.04.2024
Francesco Flagiello
Francesco Flagiello MSc.
francesco.flagiello@boku.ac.at
Project Staff
01.05.2021 - 31.03.2024
BOKU partners
External partners
St. Pölten University of Applied Sciences
none
partner