3D Integrative Modelling and Upscaling of Root Water Uptake

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Titles:Main Title: 3D Integrative Modelling and Upscaling of Root Water Uptake
Subtitle: Virtual experiments on root sampling methods to infer the specific root traits by inverse modelling
Alternative Title: PhD Report 1
Description:Abstract: The agricultural industry has been developed rapidly over past few decades to overcome the challenges in increasing global food demand and consumption. In order to maintain the increasing food demand, it is required to increase the crop yield under limited resources such as water, nutrient and land allocation. Understanding the interaction between plant and its surrounding environment is important to improve the plant productivity by enhancing ecological factors. Root water uptake, shoot growth and root growth rates are highly influenced by environmental conditions. Therefore, it is necessary to measure and monitor both aboveground and belowground variables over several growing seasons under different field conditions to obtain a wide range of experimental data for modelling and simulations of root water uptake processes. Ph.D. project on “3D Integrative Modelling and Upscaling of Root Water Uptake” aims to derive root water uptake functions in large-scale terrestrial models based on experimental data and modelling results. This research is conducted by the sub-project “B4” of Transregional Collaborative Research Centre 32 (TR32), which is funded by The Deutsche Forschungsgemeinschaft (DFG). Apart from the field experiments and modelling, the project on “Virtual experiments on root sampling methods to infer specific root traits” focuses on plant growth and sampling in a virtual environment. We will investigate classical sampling schemes to study the possibilities to determine specific sampling methods or combinations of methods to get information about specific traits, which will later be adapted in classical field sampling methods to infer phenotypic root traits. The innovative method can be used in field sampling schemes with specific interests in root system architecture (RSA), or to get information about the specific traits of different genotypes for plant breeding programs to develop new crop varieties to adapt different environments and field conditions.
Responsible Party
Creators:Shehan Morandage (Author), Andrea Schnepf (Principal Investigator), Jan Vanderborght (Principal Investigator)
Publisher:CRC/TR32 Database (TR32DB)
Publication Year:2017
Topic
TR32 Topic:Soil
Related Subproject:B4
Subjects:Keywords: Field Scale, Plant Function, Root, Root Growth, Root Length Density
Geogr. Information Topic:Environment
File Details
Filename:1_PhD_Report_Shehan_Morandage.pdf
Data Type:Text - Text
File Size:1.3 MB
Date:Created: 30.09.2016
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
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Download Permission:Only Own Subproject
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:[TR32DB] Data policy agreement
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Specific Information - Report
Report Date:1st of March, 2016
Report Type:PhD Report
Report City:Jülich,Germany
Report Institution:IBG-3, Forschungszentrum Jülich
Number of Pages:25 (1 - 25)
Metadata Details
Metadata Creator:Shehan Morandage
Metadata Created:25.07.2017
Metadata Last Updated:25.07.2017
Subproject:B4
Funding Phase:3
Metadata Language:English
Metadata Version:V50
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