南方稻麦轮作系统下小麦根系的三维分形特征

doi:10.3864/j.issn.0578-1752.2017.03.004

Abstract

Abstract: 【Objective】Root system architecture (RSA) has a significant effect on water uptake and nutrient absorption. However, relevant indices for the quantification of crop RSAs are limited to 2D fractal analysis. Analytical tools for 3D fractal analysis on crop RSAs are lacking. Thus there is a need to investigate the related parameters and operational procedures suitable for the analysis of the 3D characteristics of crop RSAs.【Method】A self-fabricated digitizer for crop RSAs was used to measure the topological parameters of the field-grown wheat root, and the spatial dimensions of wheat RSAs were obtained. Virtual wheat RSAs were then modeled and reconstructed with Matlab programming, which guaranteed a realization of the real-world wheat RSAs with virtual reality. The fractal theory was then introduced into the computing software to calculate the fractal parameters of the modeled virtual wheat RSAs, including 3D fractal dimension, 3D fractal abundance, 2D fractal dimension, 2D fractal abundance and total root length. These parameters were used to quantify the dynamics of wheat RSAs, in both the 2 experimental years and the 2 tillage treatments. Correlations among 3D fractal dimension, 3D fractal abundance, 2D fractal dimension, 2D fractal abundance and total root length were also analyzed.【Result】It was found that all the RSA-related parameters were steadily increased along wheat developmental stages, in either different years or under different tillage treatments. Differences between the 2 years appeared as the 2010-2011 crop season revealed a steady increase of RSA-related parameters, while the 2011-2012 crop season observed a more radical increase of root elongation rate. A comparison between the 2 years revealed that tillage treatment had a contrasting effect from year to year, with a better crop performance under rotary till than no-till in the first year, whereas the no-till treatment in 2011-2012 outperformed the first year. At the early stage (0-98 d), the crop season had pronounced influences on wheat RSAs, as compared with tillage treatments. At the ensuing stage (98-112 d), however, annual difference of wheat RSA parameters was as similar as the tillage treatments. A comparison between 3D fractal parameters with the 2D parameters revealed that 3D parameters were markedly contrasted with the 2D parameters, indicating that introducing the 3D parameters for crop RSA analysis is necessary. Disregard annual difference and tillage treatment, all the dynamics of 3D fractal dimension, 3D fractal abundance, 2D fractal dimension, 2D fractal abundance and total root length satisfied power law functions and were all co-related significantly. This means that the effects of crop season and tillage treatment were only related to the coefficients of the power law models. 【Conclusion】 It was concluded that the visualization and analytical tools developed with hardware and software integration and combined with fractal theory was a guarantee for precise quantification of crop root system architectures. Such an analytical tool allows recasting the spatio-and-temporal dynamics of field crop RSAs with modeled virtual roots. 3D fractal parameters could be used as a precision analytical tool for crop RSAs. In selecting root elongation tactics and optimizing the root-soil interactions an important consideration should be taken to match the crop root with its soil environment and the tillage system.

Key words: paddy wheat root system, visualization of root system architecture (RSA), 3D fractal analysis, 2D fractal analysis, root length dynamics

CHEN XinXin2, DING QiShuo, LI YiNian, XUE JinLin, HE RuiYin. Three Dimensional Fractal Characteristics of Wheat Root System for Rice-Wheat Rotation in Southern China[J].Scientia Agricultura Sinica, 2017, 50(3): 451-460.

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