Exploring root plasticity to resource patches based on swarm behavior

Li, Songyang; Liu, Xiaodong; Wang, Miao; Yu, Wenqi

doi:10.1007/s11738-016-2227-2

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…Resolving processes around roots indeed helps us to understand, amongst other things, the development of the root hydraulic architecture (Zarebanadkouki et al , 2016), the impact of salinity stress (Schröder et al , 2013; Jorda et al , 2018), the fate of pesticides in the root zone, the uptake of nutrients (Dunbabin et al , 2004; Leitner et al , 2010), the strategies developed by plants competing for resource acquisition (Postma and Lynch, 2012; Li et al , 2015, 2016; Strock et al , 2018), the interactions between soil structure and root growth (Landl et al , 2016), and the impact of mucilage in root water uptake (Schwartz et al , 2016). Moreover, these models can be used for optimizing root traits and to develop crop ideotypes (Leitner et al , 2014; Meunier et al , 2016).…”

Section: Introductionmentioning

confidence: 99%

Functional–structural root-system model validation using a soil MRI experiment

Koch

Meunier

Vanderborght

et al. 2019

Journal of Experimental Botany

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Section: Introductionmentioning

confidence: 99%

Functional–structural root-system model validation using a soil MRI experiment

Koch

Meunier

Vanderborght

et al. 2019

Journal of Experimental Botany

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“…We treat the length of the single root as the temporal history of the individual. Each single root is assumed to interact with its neighboring single roots, causing spatial alignment or repulsion (Li et al 2016). We suppose that each single root can interact with a neighboring root within two volumes ( Fig.…”

Section: Swarming Behavior Modelmentioning

confidence: 99%

Analysis of Root System Architecture Affected by Swarming Behavior

Liu

et al. 2020

Journal of Horticultural Research

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The root system architecture (RSA) displays complex morphological characteristics because of diverse root growth behaviors. Recent studies have revealed that swarming behavior among roots is particularly important for RSA to adapt to environmental stimuli. However, few models are proposed to simulate RSA based on swarming behavior of roots. To analyze plasticity of RSA affected by swarming behavior, we propose viewing it as a swarm of single roots. A swarming behavior model is proposed by considering repulsion, alignment, and preference of individual single roots. Then, the swarming behavior model is integrated into a simple and generic RSA model (called ArchiSimple). Lastly, characteristics of RSA affected by swarming behavior model and non-swarming behavior model are compared and analyzed under three different virtual soil sets. The characteristics of RSA (such as primary root length, lateral root length, lateral roots, and resource uptake) are significantly promoted by swarming behavior. Root system distributions can also be greatly affected by swarming behavior. These results show that root foraging and exploration in soil can be regarded as collective behavior of individual single root.

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Modeling and Analysis of Root Branching Plasticity Based on Parrondo's Game

Wang

2022

Journal of Horticultural Research

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For different kinds of plants, the distribution of lateral roots is highly plastic in different growth environments. In particular, the branching distance of the roots plays a decisive role in the formation of the root system architecture. In many root-system architecture models, constant branching distances of different branching orders usually are used to simulate the dynamics of a root system architecture. However, little is known about the formation of lateral roots, and branching distances for different branching orders are variable in the actual root system. The resource allocation model for predicting the lateral root distribution in individual plants has been established based on Parrondo's game. The root branching data predicted by the model is compared with the actual root branching data. The results show that the proposed method can cause serious changes in the spacing and distribution of lateral root formation. A parameter called development window can be used to override interbranch distance in the root-system architecture models.

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Exploring root plasticity to resource patches based on swarm behavior

Cited by 3 publications

References 33 publications

Functional–structural root-system model validation using a soil MRI experiment

Functional–structural root-system model validation using a soil MRI experiment

Analysis of Root System Architecture Affected by Swarming Behavior

Modeling and Analysis of Root Branching Plasticity Based on Parrondo's Game

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