Projecten per jaar
Uittreksel
Providing enough food for a growing population while preserving natural resources
and biodiversity is one of the challenges of the 21st century. A key pathway to maximize yields sustainably is to select and grow crops that are optimally adapted to
their environment. Plant performance is determined by characteristics, or ‘traits’,
which are partially genetically determined. Nevertheless, cultivars with the same
genome (G) express different appearances or ‘phenomes’ in different environments
(E) and under different management practices (M). Phenotyping the below-ground
traits of plants is not straightforward, due to the opaque nature of soil. Non-invasive
geophysical techniques to study the root zone have substantially advanced in recent
years. Their biggest potential lies in indirect monitoring of water depletion in the
root zone, especially in time-lapse mode. We implemented a fully automated electrical resistivity tomography (ERT) monitoring installation at the ILVO Hydras research
infrastructure, where belowground phenotyping is combined with above-ground
phenotyping with drones and mobile rain-out shelters. In 2023 we conducted a
proof-of-concept experiment with 3 soybean varieties. Our first results show that
ERT is able to detect belowground difference between varieties. While challenges
remain to obtain accurate resistivity distributions and understand error propagation through the data processing pipeline, we obtained an encouraging dataset,
from which belowground plant characteristics are derived in space and time. We
will present those first results, paving the way for a standardized and automated
phenotyping methods based on timelapse ERT measurements.
and biodiversity is one of the challenges of the 21st century. A key pathway to maximize yields sustainably is to select and grow crops that are optimally adapted to
their environment. Plant performance is determined by characteristics, or ‘traits’,
which are partially genetically determined. Nevertheless, cultivars with the same
genome (G) express different appearances or ‘phenomes’ in different environments
(E) and under different management practices (M). Phenotyping the below-ground
traits of plants is not straightforward, due to the opaque nature of soil. Non-invasive
geophysical techniques to study the root zone have substantially advanced in recent
years. Their biggest potential lies in indirect monitoring of water depletion in the
root zone, especially in time-lapse mode. We implemented a fully automated electrical resistivity tomography (ERT) monitoring installation at the ILVO Hydras research
infrastructure, where belowground phenotyping is combined with above-ground
phenotyping with drones and mobile rain-out shelters. In 2023 we conducted a
proof-of-concept experiment with 3 soybean varieties. Our first results show that
ERT is able to detect belowground difference between varieties. While challenges
remain to obtain accurate resistivity distributions and understand error propagation through the data processing pipeline, we obtained an encouraging dataset,
from which belowground plant characteristics are derived in space and time. We
will present those first results, paving the way for a standardized and automated
phenotyping methods based on timelapse ERT measurements.
Oorspronkelijke taal | Engels |
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Aantal pagina’s | 1 |
Publicatiestatus | Gepubliceerd - 1-feb.-2024 |
Evenement | Agrogeophysics: illuminating the subsurface - Alumni pavilion ETH Zürich, Zürich, Zwitserland Duur: 1-feb.-2024 → 2-feb.-2024 https://agrogeophy.github.io/agrogeo24/ |
Seminarie
Seminarie | Agrogeophysics: illuminating the subsurface |
---|---|
Verkorte titel | AgroGeo24 |
Land/Regio | Zwitserland |
Stad | Zürich |
Periode | 1/02/24 → 2/02/24 |
Internet adres |
Projecten
- 1 Actief
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EMPHASIS-BELGIUM: EMPHASIS-België - “fenotypering van de toekomstige gewassen”
Lootens, P. (Projectverantwoordelijke), D'Hose, T. (Projectbegeleider), Roldán-Ruiz, I. (Projectbegeleider), De Swaef, T. (Projectbegeleider), Garré, S. (Projectbegeleider), Vleminckx, B. (Projectmedewerker), Borra Serrano, I. (Voormalig Onderzoeker) & Deroo, W. (Onderzoeker)
1/01/21 → 31/12/25
Project: Onderzoek