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...

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Main Authors: Jorge Gago, Alisdair R. Fernie, Zoran Nikoloski, Takayuki Tohge, Sebastiá Martorell, José Mariano Escalona, Miquel Ribas-Carbó, Jaume Flexas, Hipólito Medrano
Format: Article
Language:English
Published: BMC 2017-10-01
Series:Plant Methods
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13007-017-0241-z
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author Jorge Gago
Alisdair R. Fernie
Zoran Nikoloski
Takayuki Tohge
Sebastiá Martorell
José Mariano Escalona
Miquel Ribas-Carbó
Jaume Flexas
Hipólito Medrano
author_facet Jorge Gago
Alisdair R. Fernie
Zoran Nikoloski
Takayuki Tohge
Sebastiá Martorell
José Mariano Escalona
Miquel Ribas-Carbó
Jaume Flexas
Hipólito Medrano
author_sort Jorge Gago
collection DOAJ
description 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 (< 2.5 cm/pixel) was employed to estimate the canopy conductance (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.
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spelling doaj.art-4d6e8d3af2074e539dbd836ab9df61522022-12-22T02:48:37ZengBMCPlant Methods1746-48112017-10-0113111410.1186/s13007-017-0241-zIntegrative field scale phenotyping for investigating metabolic components of water stress within a vineyardJorge Gago0Alisdair R. Fernie1Zoran Nikoloski2Takayuki Tohge3Sebastiá Martorell4José Mariano Escalona5Miquel Ribas-Carbó6Jaume Flexas7Hipólito Medrano8Research Group on Plant Biology under Mediterranean Conditions, Universitat de les Illes BalearsMax-Planck-Institut für Molekulare PflanzenphysiologieMax-Planck-Institut für Molekulare PflanzenphysiologieMax-Planck-Institut für Molekulare PflanzenphysiologieResearch Group on Plant Biology under Mediterranean Conditions, Universitat de les Illes BalearsResearch Group on Plant Biology under Mediterranean Conditions, Universitat de les Illes BalearsResearch Group on Plant Biology under Mediterranean Conditions, Universitat de les Illes BalearsResearch Group on Plant Biology under Mediterranean Conditions, Universitat de les Illes BalearsResearch Group on Plant Biology under Mediterranean Conditions, Universitat de les Illes BalearsAbstract 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 (< 2.5 cm/pixel) was employed to estimate the canopy conductance (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.http://link.springer.com/article/10.1186/s13007-017-0241-zDroughtMetabolomicsPhenotypingRemote sensingRegression modelingUAVs
spellingShingle Jorge Gago
Alisdair R. Fernie
Zoran Nikoloski
Takayuki Tohge
Sebastiá Martorell
José Mariano Escalona
Miquel Ribas-Carbó
Jaume Flexas
Hipólito Medrano
Integrative field scale phenotyping for investigating metabolic components of water stress within a vineyard
Plant Methods
Drought
Metabolomics
Phenotyping
Remote sensing
Regression modeling
UAVs
title Integrative field scale phenotyping for investigating metabolic components of water stress within a vineyard
title_full Integrative field scale phenotyping for investigating metabolic components of water stress within a vineyard
title_fullStr Integrative field scale phenotyping for investigating metabolic components of water stress within a vineyard
title_full_unstemmed Integrative field scale phenotyping for investigating metabolic components of water stress within a vineyard
title_short Integrative field scale phenotyping for investigating metabolic components of water stress within a vineyard
title_sort integrative field scale phenotyping for investigating metabolic components of water stress within a vineyard
topic Drought
Metabolomics
Phenotyping
Remote sensing
Regression modeling
UAVs
url http://link.springer.com/article/10.1186/s13007-017-0241-z
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