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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BMC
2017-10-01
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Series: | Plant Methods |
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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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format | Article |
id | doaj.art-4d6e8d3af2074e539dbd836ab9df6152 |
institution | Directory Open Access Journal |
issn | 1746-4811 |
language | English |
last_indexed | 2024-04-13T11:28:32Z |
publishDate | 2017-10-01 |
publisher | BMC |
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series | Plant Methods |
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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