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Marco D'Agostino

@marcodago.bsky.social
874 followers 313 following 5 posts

How root anatomy influences plant water uptake ? PhD student | Bioengineer & Data Scientist | In Silico analysis

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Reposted by Marco D'Agostino
in silico Plants @insilicoplants.bsky.social · 31/08/2026
🍅🪵 Secondary Growth and Exodermal Barriers Shape Local Root Hydraulics: Modeling Insights in #Tomato by @marcodago.bsky.social Rémy Schoppach @adrienheymans.bsky.social Valentin Couvreur and @guillaumelobet.bsky.social buff.ly/Wc3aQus #PlantScience #horticulture #RootScience @marcodago.bsky.social
doi.org
Secondary Growth and Exodermal Barriers Shape Local Root Hydraulics: Modeling Insights in Tomato
Abstract. Root water uptake efficiency depends on root system architecture and anatomical features of individual root segments. Beyond cell wall, membrane,
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Marco D'Agostino @marcodago.bsky.social · 25/08/2026
My first article is out! 🥳 We investigate how root anatomy influence water uptake in tomato 🍅
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Reposted by Marco D'Agostino
Guillaume Lobet @guillaumelobet.bsky.social · 09/06/2026
🌱 Does #phosphorus shape what #roots release into the soil? Yes, but only at the right moment in the plant's life. New #preprint from Sasha Pollet and Jean-Thomas Cornelis team UBC on white lupin root exudates across development. #plantscience #rhizosphere 🧵 www.biorxiv.org/content/10.6...
Photo of lupin flower, by Annie Spratt, from Unsplash
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Marco D'Agostino @marcodago.bsky.social · 02/03/2026
Happy to share my first paper ! 🚀 Thanks to the PEPA lab and my great coauthors @adrienheymans.bsky.social, Rémy Schoppach, Valentin Couvreur and @guillaumelobet.bsky.social ! "Secondary Growth and Exodermal Barriers Shape Local Root Hydraulics: Modeling Insights" doi.org/10.64898/2026.01.27.701735
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Reposted by Marco D'Agostino
Plant Physiology @plantphys.bsky.social · 18/07/2025
Decreased root hydraulic traits in German winter wheat cultivars over 100 years of breeding (Juan C Baca Cabrera , Jan Vanderborght , Yann Boursiac , et al) doi.org/10.1093/plph... #PlantScience @agrosphere-ibg-3.bsky.social,@guillaumelobet.bsky.social
doi.org
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Marco D'Agostino @marcodago.bsky.social · 23/06/2025
It was an incredible opportunity to present my work at #rhizosphere6 ! "Modeling water uptake : influence of secondary growth, hydrophobic barriers and developmental anatomy on root hydraulic properties" We couple functional models with experiments to better understand plant water uptake 🪴
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Reposted by Marco D'Agostino
in silico Plants @insilicoplants.bsky.social · 20/06/2025
💻 Simulating rhizodeposition patterns around growing and exuding root systems doi.org/10.1093/insi... #roots #model #PlantScience
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Marco D'Agostino @marcodago.bsky.social · 02/06/2025
So happy to be in that an amazing lab 😀
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Reposted by Marco D'Agostino
Adrien Heymans @adrienheymans.bsky.social · 07/04/2025
New preprint from @stephanevrg.bsky.social 's lab! 🧪 Simulations + mutant tests show a shift in how we think about plant cell adhesion, challenging "textbook" view on the role of middle lamella. 📄 doi.org/10.1101/2025... Thank you Özer Erguvan and all co-authors 🔬 #PlantSci #CellBiology
FEM and TEM reveal the process by which cell separation may initiate in the outer epidermal edge filling (OEEF) and propagate to the supracellular outer epidermal wall FEM and TEM reveal the process by which cell separation may initiate in the outer epidermal edge filling (OEEF) and propagate to the supracellular outer epidermal wall (SOEW).
CC-BY-NC-ND 4.0 International license.
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is
bioRxiv preprint doi: https://doi.org/10.1101/2025.04.03.646819; this version posted April 6, 2025.
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Reposted by Marco D'Agostino
in silico Plants @insilicoplants.bsky.social · 14/03/2025
📣 Summer School: #Modeling Water Fluxes in the #Soil Plant System UCLouvain, Belgium | 8 -12 September 2025 soil-modeling.org/activities/s... #PlantScience
soil-modeling.org
Modeling Water Fluxes in the Soil Plant System — ISMC
The 2nd International Summer school Advanced Soil Physics: Soil-Plant-Water Flow
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Marco D'Agostino @marcodago.bsky.social · 07/05/2024
Great project with great opportunities, lead by a great supervisor in a great lab 😁
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Reposted by Marco D'Agostino
in silico Plants @insilicoplants.bsky.social · 12/04/2024
💻🌿Synthetic data for training image processing artificial intelligence #FSPM #CPlantBox @unrealengine.bsky.social botany.one/2024/04/harn... from @botany.one
botany.one
Harnessing the Power of Synthetic Data for Deep Learning Image Analysis
The Synavis framework provides a solution to overcome data scarcity for training deep learning biological image analysis models.
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Reposted by Marco D'Agostino
Guillaume Lobet @guillaumelobet.bsky.social · 08/04/2024
🧪🌾 #paperalert Check our latest paper in Plant Direct, by Juan Baca Cabrera. onlinelibrary.wiley.com/doi/10.1002/... Juan collected root hydraulic data from the literature & compiled it into a shared database (roothydraulic-properties.shinyapps.io/database).
image of a plant, with root and shoot, and hydraulic resistance to water between the different organs
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Reposted by Marco D'Agostino
Adrien Heymans @adrienheymans.bsky.social · 11/03/2024
🌽Check out the fascinating role of root anatomical variation in maize adaptation to diverse climates and soils. 🌾 Congrats to Chloee: chloeemclaughlin.wordpress.com and the other co-authors. A nice paper just before the defense of her PhD 🔓 doi.org/10.1111/eva.... #RootAnatomy #GxE 🌱🔬🧪
Home environment predicts root anatomy in Mexican native maize. (a) Random forest (RF) modeling for the ratio of total stele area:total cortical area. Accession point of origin colored by observed TSA:TCA from Burton et al. (2013). Trait-specific significant environmental descriptors used for RF model construction. Smoothed RF predicted TSA:TCA for native Mexican maize. (b) RF predicted vs observed TSA:TCA values for all individuals used in model training and validation. (c) Composite GRANAR representation of observed (obs) and predicted (pred) GRANAR sections for the accessions with the lowest (low, pink) and highest (high, green) observed TSA:TCA. Predicted GRANAR cross-sections use predictions for all traits for which RF models were constructed. Hydraulic properties were estimated with MECHA
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Reposted by Marco D'Agostino
Leonardo Jo @leonardojo.bsky.social · 04/03/2024
The final version of the ggPlantmap is out at @jxbotany.bsky.social academic.oup.com/jxb/advance-... Come for the information, stay for the beautiful figures! We hope it can encourage people to create their own eFP-viewer!
academic.oup.com
ggPlantmap: an open-source R package for the creation of informative and quantitative ggplot maps derived from plant images
ggPlantmap, a new addition to the plant data visualization toolbox, allows users to create graphical maps from plant images for the representation of spatial qu
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