Integrative field scale phenotyping for investigating metabolic components of water stress within a vineyard

Abstract

Background There is currently a high requirement for field phenotyping methodologies/technologies to determine quantitative traits related to crop yield and plant stress responses under field conditions. Methods We employed an unmanned aerial vehicle equipped with a thermal camera as a high-throughput phenotyping platform to obtain canopy level data of the vines under three irrigation treatments. High-resolution imagery ( g c ) via the leaf energy balance model. In parallel, physiological stress measurements at leaf and stem level as well as leaf sampling for primary and secondary metabolome analysis were performed. Results Aerial g c correlated significantly with leaf stomatal conductance ( g s ) and stem sap flow, benchmarking the quality of our remote sensing technique. Metabolome profiles were subsequently linked with g c and g s via partial least square modelling. By this approach malate and flavonols, which have previously been implicated to play a role in stomatal function under controlled greenhouse conditions within model species, were demonstrated to also be relevant in field conditions. Conclusions We propose an integrative methodology combining metabolomics, organ-level physiology and UAV-based remote sensing of the whole canopy responses to water stress within a vineyard. Finally, we discuss the general utility of this integrative methodology for broad field phenotyping.

Plant phenotyping relevance

UAV搭載熱カメラによるブドウ樹冠の水ストレス形質推定を中心に、地上生理測定とのベンチマークまで行う統合的フィールド表現型解析である。

Code and data availability

The paper describes UAV thermal imagery, physiological measurements, metabolite profiles, and PLS modelling, but no public deposit of the phenotype data, imagery, or author analysis code is stated. Supplementary files (Additional files 1 and 2) contain results tables/metadata but no availability URL is given. The only'

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