A Root Branch Prediction Method Based on Group Interaction Environmental Influence

Abstract

The invention presents a root branch prediction method based on group interaction environmental influence, which is used to solve the problem that the existing root system modeling method does not consider the influence of root primordia on root branches. The method comprises the following steps: constructing a root primordium group with root primordia as individuals; traversing the root primordium group to obtain a neighboring root primordium set of the root primordia; calculating the perceived environmental influence factors and environmental change intensity of the root primordia; using a Parrondo game model to calculate the win-loss of interaction between the root primordia and the neighboring root primordium individuals in the neighboring root primordium set; calculating the auxin content and growth time of the root primordia; and carrying out root branch prediction according to the relation between the auxin content and the maximum value of auxin demand. Based on the change of environmental factors and the interaction between root primordium groups, the process in which a root primordium develops into a root branch can be modulated, a model support and an analysis method canbe provided for the overall research of plant modeling and simulation, and the application of plant modeling and simulation in precision agriculture can be promoted.

Description

technical field [0001] The invention relates to the technical field of computer simulation, belongs to the field of applying computer to plant simulation, and in particular relates to a root branch prediction method based on group interaction environment influence. Background technique [0002] Plant modeling and simulation is the application of virtual reality technology to simulate the growth and development of plants in a three-dimensional space in a virtual environment on a computer. It is an interdisciplinary research field including botany, ecology, agronomy, computer graphics, and mathematics. It is the key technology of precision agriculture and an important means to quantitatively study the law of plant growth. But for a long time, due to the invisibility of the growth environment of the plant root system and the complexity of its growth, the modeling and simulation research on the root system has considerable limitations and lags far behind the aboveground part. R...

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Problems solved by technology

One type of method is to construct a virtual root system method based on a clear description of the entire root system growth, to realize the simulation of root topology and geometry changes in space and time, but this type of method does not consider root physiological processes, such as root elongation, diameter growth, etc. , branching, death, and the absorption and transmission of nutrients such as water and nitrogen on root growth; one method is to construct a virtual root system method based on the continuous change function of root density in space and time, and realize different scales from single root to root group Root simulation, but this method does not consider the ecological and physiological functions of the root system; another method is to combine the root system function and structure, and consider the root system structure, physiological process and soil environmental conditions to construct a virtual root system method, but the above models are in the simulation When rooting branches, one method is to control the location of branch points by defining the branch spacing based on the observation of the root branch, and generate root branches sequentially; the other method controls the generation of branches by defining the branch density

The above method has great defects: through modeling and simulation analysis of the existing root system, it is found that the root branch and elongation behavior determine the root system structure, the elongation behavior is determined by the growth and development of the root tip, and the branching behavior is determined by the growth of the root primordium. developmentally determined, but the above methods do not take into account the role of root primordia on root branching

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