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

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dc.contributor.author Gago, Jorge en
dc.contributor.author Fernie, Alisdair R. en
dc.contributor.author Nikoloski, Zoran en
dc.contributor.author Tohge, Takayuki en
dc.contributor.author Martorell, Sebastiá ja
dc.contributor.author Escalona, José Mariano ja
dc.contributor.author Ribas-Carbó, Miquel ja
dc.contributor.author Flexas, Jaume en
dc.contributor.author Medrano, Hipólito ja
dc.date.accessioned 2021-06-28T01:58:30Z en
dc.date.available 2021-06-28T01:58:30Z en
dc.date.issued 2017-10-30 en
dc.identifier.uri http://hdl.handle.net/10061/14376 en
dc.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. en
dc.language.iso en en
dc.publisher BMC en
dc.relation.isreplacedby https://plantmethods.biomedcentral.com/articles/10.1186/s13007-017-0241-z en
dc.rights © The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/ publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ja
dc.subject Drought en
dc.subject Metabolomics en
dc.subject Phenotyping en
dc.subject Remote sensing en
dc.subject Regression modeling en
dc.subject UAVs en
dc.subject Vitis vinifera en
dc.title Integrative field scale phenotyping for investigating metabolic components of water stress within a vineyard en
dc.type.nii Journal Article en
dc.contributor.transcription トウゲ, タカユキ ja
dc.contributor.alternative 峠, 隆之 ja
dc.textversion none en
dc.identifier.eissn 1746-4811 en
dc.identifier.jtitle Plant Methods en
dc.identifier.volume 13 en
dc.relation.doi 10.1186/s13007-017-0241-z en
dc.identifier.artnum 90 en
dc.identifier.NAIST-ID 74653593 en
dc.relation.pmid 29093742 en

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