Daniel Leitner

ORCID: 0000-0002-6813-4692
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About
Contact & Profiles
Research Areas
  • Plant nutrient uptake and metabolism
  • Rice Cultivation and Yield Improvement
  • Irrigation Practices and Water Management
  • Soil and Unsaturated Flow
  • Soil Carbon and Nitrogen Dynamics
  • Plant Molecular Biology Research
  • Plant Water Relations and Carbon Dynamics
  • Soil Moisture and Remote Sensing
  • Greenhouse Technology and Climate Control
  • Lattice Boltzmann Simulation Studies
  • Smart Agriculture and AI
  • X-ray Diffraction in Crystallography
  • Soil Management and Crop Yield
  • Crystallization and Solubility Studies
  • Neural Networks and Applications
  • Fluid Dynamics and Turbulent Flows
  • Evolutionary Algorithms and Applications
  • Botanical Research and Chemistry
  • Legume Nitrogen Fixing Symbiosis
  • Advanced Data Storage Technologies
  • Phytochemistry and Biological Activities
  • Tribology and Lubrication Engineering
  • Crop Yield and Soil Fertility
  • Plant Micronutrient Interactions and Effects
  • Vehicle emissions and performance

Forschungszentrum Jülich
2022-2024

International Medical Research (Germany)
2023

Anstalt für Verbrennungskraftmaschinen List
2020-2023

BOKU University
2009-2022

Centre for Social Innovation
2020

University of Vienna
2012-2018

University of Oxford
2009

TU Wien
2006-2008

Austrian Institute of Technology
2007-2008

Research Center Pharmaceutical Engineering (Austria)
2007

Core Ideas A community effort is needed to move soil modeling forward. Establishing an international consortium key in this respect. There a need better integrate existing knowledge models. Integration of data and models challenge modeling. The remarkable complexity its importance wide range ecosystem services presents major challenges the processes. Although progress has occurred last decades, processes remain disjointed between disciplines or services, with considerable uncertainty...

10.2136/vzj2015.09.0131 article EN cc-by-nc-nd Vadose Zone Journal 2016-05-01

Small scale root-pore interactions require validation of their impact on effective hydraulic processes at the field scale. Our objective was to develop an interpretative framework linking root effects macroscopic pore parameters with knowledge rhizosphere A experiment twelve species from different families conducted. Parameters Kosugi’s size distribution (PSD) model were determined inversely tension infiltrometer data. Measured traits related variables by regression analysis. evolution used...

10.1007/s11104-014-2079-8 article EN cc-by Plant and Soil 2014-03-14

Understanding the impact of roots and rhizosphere traits on plant resource efficiency is important, in particular light upcoming shortages mineral fertilizers climate change with increasing frequency droughts. We developed a modular approach to root growth architecture modelling special focus soil interactions. The dynamic three-dimensional model based L-Systems, rewriting systems well-known modelling. implemented Matlab way that simplifies introducing new features as required. Different...

10.1007/s11104-010-0284-7 article EN cc-by-nc Plant and Soil 2010-01-22

Root architecture development determines the sites in soil where roots provide input of carbon and take up water solutes. However, root is difficult to determine experimentally when grown opaque soil. Thus, models have been widely used further developed into functional-structural that simulate fate solutes soil-root system. The model CRootBox presented here a flexible framework its interactions with static dynamic environments.

10.1093/aob/mcx221 article EN Annals of Botany 2017-12-30

The number of image analysis tools supporting the extraction architectural features root systems has increased in recent years. These offer a handy set complementary facilities, yet it is widely accepted that none these software able to extract an efficient way growing array static and dynamic for different types images species. We describe Root System Markup Language (RSML), which been designed overcome two major challenges: (1) enable portability architecture data between easy...

10.1104/pp.114.253625 article EN PLANT PHYSIOLOGY 2015-01-22

Roots are essential drivers of soil structure and pore formation. This study aimed at quantifying root induced changes the size distribution (PSD). The focus was on extent clogging vs. formation pores during active growth.Parameters Kosugi's lognormal PSD model were determined by inverse estimation in a column experiment with two cover crops (mustard, rye) an unplanted control. Pore dynamics described using convection-dispersion like evolution model.Rooted treatments showed wider range radii...

10.1007/s11104-014-2121-x article EN cc-by Plant and Soil 2014-04-27

Drought stress is a dominant constraint to crop production. Breeding crops with adapted root systems for effective uptake of water represents novel strategy increase drought resistance. Due complex interaction between traits and high diversity hydrological conditions, modeling provides important information trait based selection. In this work we use architecture model combined soil-hydrological analyze whether there system ideotype general adaptation or efficiency function specific...

10.1016/j.ecolmodel.2015.05.028 article EN cc-by-nc-nd Ecological Modelling 2015-06-15

Abstract Plant water uptake and plant soil status are important for the balance growth. They depend on atmospheric demand accessibility of to roots, which is in turn related hydraulic properties root system around segments. We present a simulation model that describes flow soil–plant mechanistically considering both properties. developed an approach upscale three‐dimensional (3D) toward segments 3D architecture considers one‐dimensional between horizontal layers radial layer. The upscaled...

10.1002/vzj2.20273 article EN cc-by Vadose Zone Journal 2023-07-31

Abstract Root system traits are important in view of current challenges such as sustainable crop production with reduced fertilizer input or resource-limited environments. We present a novel approach for recovering root architectural parameters based on image-analysis techniques. It is graph representation the segmented and skeletonized image system, where individual roots tracked fully automated way. Using dynamic architecture model deciding whether specific path likely to represent helps...

10.1104/pp.113.227892 article EN cc-by PLANT PHYSIOLOGY 2013-11-11

• Root hairs are known to be important in the uptake of sparingly soluble nutrients by plants, but quantitative understanding their role this is weak. This limits, for example, breeding more nutrient-efficient crop genotypes. We developed a mathematical model nutrient transport and root hair zone single roots growing soil or solution culture. Accounting geometry explicitly, we derived effective equations cumulative effect surfaces on using method homogenization. Analysis shows that,...

10.1111/j.1469-8137.2009.03128.x article EN New Phytologist 2009-12-17

Water stress is among the dominant yield limiting factors in global crop production. Better drought resistance therefore a key challenge for breeding and management. Avoidance of water by effective root uptake considered promising approach to stability environments. efficiency result multiple plant traits that dynamically interact with site hydrology. Root models are an essential tool identify efficient crops certain target cropping environment.

10.1016/j.fcr.2014.05.009 article EN cc-by Field Crops Research 2014-06-09

Root phenotyping aims to characterize root system architecture because of its functional role in resource acquisition. RGB imaging and analysis procedures measure traits via colour contrasts between roots growth media or artificial backgrounds. In the case plants grown soil-filled rhizoboxes, where contrast can be poor, it is hypothesized that based on spectral signatures improves segmentation provides additional knowledge physico-chemical properties.Root systems Triticum durum rhizoboxes...

10.1186/s13007-018-0352-1 article EN cc-by Plant Methods 2018-10-02

Abstract The interaction between carbon and flows within the vasculature is at centre of most growth developmental processes. Understanding how these fluxes influence each other, they respond to heterogeneous environmental conditions, important answer diverse questions in agricultural natural ecosystem sciences. However, due high complexity plant–environment system, specific tools are needed perform such quantitative analyses. Here, we present CPlantBox, a whole-plant modelling framework...

10.1093/insilicoplants/diaa001 article EN cc-by in silico Plants 2020-01-01

Abstract A plant’s development is strongly linked to the water and carbon flows in soil–plant–atmosphere continuum. Expected climate shifts will alter cycles affect plant phenotypes. Comprehensive models that simulate mechanistically dynamically feedback loops between a three-dimensional are useful tools evaluate sustainability of genotype–environment–management combinations which do not yet exist. In this study, we present latest version open-source Functional–Structural Plant Model...

10.1093/insilicoplants/diad009 article EN cc-by in silico Plants 2023-07-01

Plant root systems have a key role in ecology and agronomy. In spite of fast increase studies, still there is no classification that allows distinguishing among distinctive characteristics within the diversity rooting strategies. Our hypothesis multivariate approach for "plant functional type" identification can be applied to systems. We demonstrate combining principal component cluster analysis yields meaningful types based on morphological traits. The method presented data-defined...

10.3389/fpls.2013.00292 article EN cc-by Frontiers in Plant Science 2013-01-01

Abstract. A plant's development is strongly linked to the water and carbon (C) flows in soil-plant-atmosphere continuum. Ongoing climate shifts will alter C cycles affect plant phenotypes. Comprehensive models that simulate mechanistically dynamically feedback loops between fluxes soil-plant system are useful tools evaluate sustainability of genotype-environment-management combinations do not yet exist. In this study, we present equations implementation a rhizosphere-soil model within...

10.5194/egusphere-2025-572 preprint EN cc-by 2025-03-07

Plant development strongly depends on the water and nutrient uptake by evolving root system, carbon assimilation in leaves, as well water, solute transport inside plant. The mechanistic functional-structural plant model CPlantBox enables simulations of dynamic soil systems, therefore analysis feedback loops between fluxes root-soil interface processes such or rhizodeposition. Such models are a crucial tool to evaluate sustainability future phenotype-environment-management combinations,...

10.5194/egusphere-egu25-17280 preprint EN 2025-03-15

Abstract. Root water uptake strongly affects soil balance and plant development. It can be described by mechanistic models of soil–root hydraulics based on content, root hydraulic properties, the dynamic development architecture. Recently, novel upscaling methods have emerged, which enable application detailed a larger scale, particularly for land surface crop models, using mathematical upscaling. In this study, we explore underlying assumptions fundamentals different approaches. Our...

10.5194/hess-29-1759-2025 article EN cc-by Hydrology and earth system sciences 2025-03-28

Understanding the impact of root architecture on plant resource efficiency is important, in particular, light upcoming shortages mineral fertilizers and changed environmental conditions. In 1950s, a great number systems European cultivated plants were excavated studied by L. Kutschera (1960). Her work gave enormous insight into variety system architectures helped to realize importance belowground processes productivity. We analysed resulting hand drawings using mathematical modelling found...

10.1080/13873954.2010.491360 article EN Mathematical and Computer Modelling of Dynamical Systems 2010-12-03

Mathematical modeling is an important tool in rhizosphere research. Considering that root system and traits govern plant resource efficiency, accurate of nutrient uptake challenge the light upcoming shortages mineral fertilizers climate change. We present a three-dimensional model for phosphate by growing exuding system. The able to predict influences gravitropism under geometrical constraints like pot or rhizotron experiments. In this way it possible directly compare simulated case study...

10.2136/vzj2012.0001 article EN Vadose Zone Journal 2012-08-01
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