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How high-throughput phenotyping can contribute to cope with climate change
RUC-APS WORKSHOP 14 May 2020
Francesco Cellini
ALSIA, Metapontum Agrobios Research Center
Matera Metaponto
How high-throughput phenotyping can contribute to cope with - - PowerPoint PPT Presentation
How high-throughput phenotyping can contribute to cope with - - PowerPoint PPT Presentation
How high-throughput phenotyping can contribute to cope with climate change Francesco Cellini ALSIA, Metapontum Agrobios Research Center RUC-APS WORKSHOP 14 May 2020 ALSIA, BASILICATA, SOUTH ITALY Matera Metaponto ALSIA MISSION AND
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Regional Agency for the development and innovation of agrofood and agroindustry sectors through innovation transfer and implementation of Agrofood Development Services (ADS) Headquarter in Matera, a provincial office in Potenza, Agrobios R&D center in Metaponto, 8 Demonstration and Experimental farms, and two extension service units.
ALSIA MISSION AND STRUCTURE
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tR&D&T activities tAgriculture extension services
(dissemination, technical and
- rganizational consultancy,
marketing)
tFarmer training tAgro-technical services and support
ALSIA ROLE AND ACTIVITIES
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https://youtu.be/6X5RqN03rWI
PLANTS ARE IMPORTANT
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Phenotype and Phenome
An organism phenotype, is the complex of morfological and functional characteristics, the phenome represents all the phenotypes evident in an organism
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One Genome : Multiple Phenotypes
From Plant Phenomics, from Sensors to Knowledge. (2017) Tardieu et al. DOI:https://doi.org/10.1016/j.cub.2017.05.055
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Manual, labour intensive Costs Hidden parameters difficult to detect Sampling, desruptive measurements Local measurements Operator bias and errors
Problems in phenotype analyses:
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Use of imaging remote sensors Automation Computer vision Bioinformatics Integration with IoT No sampling Statistically robust
High Throughput Phenotyping by imaging: Plant Phenomics era
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Imaging of plants. Sensors.
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Imaging of plants. Multilevel & Multiscale.
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Image analyses general pipeline
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- 1. Conveyor system
- 2. Imaging stations
3.Computer station
- Fluorescence/Photosintesys
- Stress indexes
NIR
- Water content
- % Drought
RGB
- ROI (“Region Of Interest”)
- Digital biomass
- Green and yellow indexes
- Water content
- % drought stress
- Root morphology
- Root Architecture
Plant Phenomics Platform in ALSIA
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DROUGHT IS AN URGENT PROBLEM
Sentinel Data elaborated by IRPI-CNR
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RESERVOIR WATER AVAILABILITY IN BASILICATA (November 2017) 122 Mcm 1/6 of the total capacity
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TACKLING WATER SCARCITY WITHIN THE PHENOTYPE SPACE CONTEXT
Environment Taxon or Genotype
Mutants, natural variants, result of genetic crosses.
Management
Agronomical practices Water Light Minerals Microbe Temperature
P h e n
- t
y p e S p a c e
FAO Status of water use efficiency of main crops. SOLAW Background Thematic Report - TR07
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(3D) Visible (RGB)
v Biomass, Biovolume, Biomass spatial distribution, etc. v Compactness v Colour index v Health indexes
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BiomasaDigital= Nuova Formula
å å å
TV + SV + SV = ital BiomasaDig 2 1
Digital biomass = Fresh weight
÷ ÷ ø ö ç ç è æå
å å
3 log 2 1 TV + SV + SV = ital BiomasaDig
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Compactness
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UC82b ATHB7
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Compactness
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Drought WW
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Biomassa radicale
Root- Visibile (RGB)
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1 2 3 4 5 6 7 8 9
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Root- Visible (RGB)
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vAnalisi in Pianta vAnalisi nel suolo
Near Infra Red (NIR)
Water level in plant and soil
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STUDYING BIOSTIMULANT EFFECTS ON PLANT PHENOTYPE
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Stress induction 50 ml of water 200 ml of water (recovery) Stress induction 50 ml of water 200 ml of water (recovery)
- 1. RGB (Red-Green-Blue) àDigital biomass
UNTREATED
Biostimulant on tomato - DROUGHT STRESS
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PLANT GROWTH
Petrozza et al. (2014) Scientia Horticolturae 174:185-192,
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Biostimolante CONTROL
+ Acqua
- Acqua
HAIRY ROOT
Water uptake in roots
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Conclusions
- New fast developing technology area
- Integrates multidisciplinaty approach
- Produces and analyze Big Data with AI
approaches
- Speeds up plant breeding and plant
science discoveries
- Supports smart farming development with
proxymal sensing technologies
- Strongly contributes in finding plant
phenotypes resilient to climatic change induced stresses
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UE I3 Projet ‘Advanced community’
2017-2020 Coordination F. Tardieu 10 M€ Ger, Fr., UK, NL, IT, Bel, Hungary, Finland, Slovakia, Denmark Focus: genetics of adaptation to climate change
- Transnational access : @100 accesses, public and private, 20% outside
UE
- Joint research activities : Model assisted phenotyping
Trans-plaform analysis Information systems
- Networking
Beginning, May 2017
EPPN2020
https://eppn2020.plant-phenotyping.eu
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