Management and Characterization of Abiotic Stress via PhénoField®, a High-Throughput Field Phenotyping Platform

In order to evaluate the impact of water deficit in field conditions, researchers or breeders must set up large experiment networks in very restrictive field environments. Experience shows that half of the field trials are not relevant because of climatic conditions that do not allow the stress scen...

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Main Authors: Katia Beauchêne, Fabien Leroy, Antoine Fournier, Céline Huet, Michel Bonnefoy, Josiane Lorgeou, Benoît de Solan, Benoît Piquemal, Samuel Thomas, Jean-Pierre Cohan
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-07-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2019.00904/full
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author Katia Beauchêne
Fabien Leroy
Antoine Fournier
Céline Huet
Michel Bonnefoy
Josiane Lorgeou
Benoît de Solan
Benoît Piquemal
Samuel Thomas
Jean-Pierre Cohan
author_facet Katia Beauchêne
Fabien Leroy
Antoine Fournier
Céline Huet
Michel Bonnefoy
Josiane Lorgeou
Benoît de Solan
Benoît Piquemal
Samuel Thomas
Jean-Pierre Cohan
author_sort Katia Beauchêne
collection DOAJ
description In order to evaluate the impact of water deficit in field conditions, researchers or breeders must set up large experiment networks in very restrictive field environments. Experience shows that half of the field trials are not relevant because of climatic conditions that do not allow the stress scenario to be tested. The PhénoField® platform is the first field based infrastructure in the European Union to ensure protection against rainfall for a large number of plots, coupled with the non-invasive acquisition of crops’ phenotype. In this paper, we will highlight the PhénoField® production capability using data from 2017-wheat trial. The innovative approach of the PhénoField® platform consists in the use of automatic irrigating rainout shelters coupled with high throughput field phenotyping to complete conventional phenotyping and micrometeorological densified measurements. Firstly, to test various abiotic stresses, automatic mobile rainout shelters allow fine management of fertilization or irrigation by driving daily the intensity and period of the application of the desired limiting factor on the evaluated crop. This management is based on micro-meteorological measurements coupled with a simulation of a carbon, water and nitrogen crop budget. Furthermore, as high-throughput plant-phenotyping under controlled conditions is well advanced, comparable evaluation in field conditions is enabled through phenotyping gantries equipped with various optical sensors. This approach, giving access to either similar or innovative variables compared manual measurements, is moreover distinguished by its capacity for dynamic analysis. Thus, the interactions between genotypes and the environment can be deciphered and better detailed since this gives access not only to the environmental data but also to plant responses to limiting hydric and nitrogen conditions. Further data analyses provide access to the curve parameters of various indicator kinetics, all the more integrative and relevant of plant behavior under stressful conditions. All these specificities of the PhénoField® platform open the way to the improvement of various categories of crop models, the fine characterization of variety behavior throughout the growth cycle and the evaluation of particular sensors better suited to a specific research question.
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spelling doaj.art-7375d2f8e4984a0d83ae128f69041bb52022-12-22T00:37:10ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2019-07-011010.3389/fpls.2019.00904427488Management and Characterization of Abiotic Stress via PhénoField®, a High-Throughput Field Phenotyping PlatformKatia Beauchêne0Fabien Leroy1Antoine Fournier2Céline Huet3Michel Bonnefoy4Josiane Lorgeou5Benoît de Solan6Benoît Piquemal7Samuel Thomas8Jean-Pierre Cohan9ARVALIS – Institut du Végétal, Ouzouer-le-Marché, FranceARVALIS – Institut du Végétal, Ouzouer-le-Marché, FranceARVALIS – Institut du Végétal, Ouzouer-le-Marché, FranceARVALIS – Institut du Végétal, Ouzouer-le-Marché, FranceARVALIS – Institut du Végétal, Ouzouer-le-Marché, FranceARVALIS – Institut du Végétal, Boigneville, FranceARVALIS – Institut du Végétal, Boigneville, FranceARVALIS – Institut du Végétal, Boigneville, FranceARVALIS – Institut du Végétal, Boigneville, FranceARVALIS – Institut du Végétal, La Chapelle-Saint-Sauveur, FranceIn order to evaluate the impact of water deficit in field conditions, researchers or breeders must set up large experiment networks in very restrictive field environments. Experience shows that half of the field trials are not relevant because of climatic conditions that do not allow the stress scenario to be tested. The PhénoField® platform is the first field based infrastructure in the European Union to ensure protection against rainfall for a large number of plots, coupled with the non-invasive acquisition of crops’ phenotype. In this paper, we will highlight the PhénoField® production capability using data from 2017-wheat trial. The innovative approach of the PhénoField® platform consists in the use of automatic irrigating rainout shelters coupled with high throughput field phenotyping to complete conventional phenotyping and micrometeorological densified measurements. Firstly, to test various abiotic stresses, automatic mobile rainout shelters allow fine management of fertilization or irrigation by driving daily the intensity and period of the application of the desired limiting factor on the evaluated crop. This management is based on micro-meteorological measurements coupled with a simulation of a carbon, water and nitrogen crop budget. Furthermore, as high-throughput plant-phenotyping under controlled conditions is well advanced, comparable evaluation in field conditions is enabled through phenotyping gantries equipped with various optical sensors. This approach, giving access to either similar or innovative variables compared manual measurements, is moreover distinguished by its capacity for dynamic analysis. Thus, the interactions between genotypes and the environment can be deciphered and better detailed since this gives access not only to the environmental data but also to plant responses to limiting hydric and nitrogen conditions. Further data analyses provide access to the curve parameters of various indicator kinetics, all the more integrative and relevant of plant behavior under stressful conditions. All these specificities of the PhénoField® platform open the way to the improvement of various categories of crop models, the fine characterization of variety behavior throughout the growth cycle and the evaluation of particular sensors better suited to a specific research question.https://www.frontiersin.org/article/10.3389/fpls.2019.00904/fullfield phenotypingdrought tolerancehigh throughputrainout sheltersremote sensors
spellingShingle Katia Beauchêne
Fabien Leroy
Antoine Fournier
Céline Huet
Michel Bonnefoy
Josiane Lorgeou
Benoît de Solan
Benoît Piquemal
Samuel Thomas
Jean-Pierre Cohan
Management and Characterization of Abiotic Stress via PhénoField®, a High-Throughput Field Phenotyping Platform
Frontiers in Plant Science
field phenotyping
drought tolerance
high throughput
rainout shelters
remote sensors
title Management and Characterization of Abiotic Stress via PhénoField®, a High-Throughput Field Phenotyping Platform
title_full Management and Characterization of Abiotic Stress via PhénoField®, a High-Throughput Field Phenotyping Platform
title_fullStr Management and Characterization of Abiotic Stress via PhénoField®, a High-Throughput Field Phenotyping Platform
title_full_unstemmed Management and Characterization of Abiotic Stress via PhénoField®, a High-Throughput Field Phenotyping Platform
title_short Management and Characterization of Abiotic Stress via PhénoField®, a High-Throughput Field Phenotyping Platform
title_sort management and characterization of abiotic stress via phenofield r a high throughput field phenotyping platform
topic field phenotyping
drought tolerance
high throughput
rainout shelters
remote sensors
url https://www.frontiersin.org/article/10.3389/fpls.2019.00904/full
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