TY  - THES
AU  - Morandage, Shehan
TI  - Characterization of Root System Architectures from Field Root Sampling Methods
VL  - 520
PB  - Universität Bonn
VL  - Dissertation
CY  - Jülich
M1  - FZJ-2020-04560
SN  - 978-3-95806-511-6
T2  - Schriften des Forschungszentrums Jülich. Reihe Energie & Umwelt / Energy & Environment
SP  - xxii, 157 S.
PY  - 2020
N1  - Universität Bonn, Diss., 2020
AB  - $\textbf{Background and objectives:}$ The root system architecture (RSA) of a plant determines the plant’s ability to capture resources efficiently from the soil and directly linked to plant performance. The development and distribution of plant’s root systems are determined by the soil and surrounding environmental conditions. With the emerging methods of phenotyping techniques and the necessity of improving crop yield with limited resources, root phenotyping for developing new genotypes is given increasing attention to fulfill the increasing food demand of the world. Therefore, characterizing the behavior of root system with its surrounding environment and identifying beneficial traits are of attention in the agricultural industry. However, obtaining the information about root systems and their interaction with soil of all stages of root systems of field-grown crops is a challenging task because of the hidden nature of roots. Traditionally, the root information is extracted from field root sampling methods, which provide limited information about root growth and distribution. Therefore, obtaining a wide range of information such as the entire root systemarchitecture can be identified as one of the main challenges in this regard. Moreover, the influence of soil and climatic factors on root growth has not been studied extensively. Thus, estimating distribution and functions of root systems that grow in different soil and climatic conditions are poorly understood. Root architecture models are becoming increasingly popular to study root growth and its functions successfully to understand and explain the mechanisms of root growth functions and to be used as a tool for exposing “hidden” root systems. Therefore, in this study, we demonstrate the use a RSA model to characterize root system traits from classical field root sampling schemes based on synthetic experiments and evaluate the differences in simulated root growth patterns and measured dynamic root development data in terms of different crops, soil, and environmental conditions. $\textbf{Materials and Methods:}$ The quantification of parameter sensitivities was conducted based on a synthetic experiment that mimics the root growth and rootd sampling procedure in the real field. [...]
LB  - PUB:(DE-HGF)3 ; PUB:(DE-HGF)11
UR  - https://juser.fz-juelich.de/record/887974
ER  -