Plant fibrous root system configuration detection and analysis system

Abstract

The invention provides a plant fibrous root system configuration detection and analysis system, which comprises a plant growing pot, at least one laser measuring unit, a rotary objective table and a data analysis unit, wherein the plant growing pot is provided with at least one slit area penetrating through a cross section in the axial direction; at least one laser measuring unit is respectively provided with a laser emitter and a laser receiver which are arranged corresponding to the slit areas, so that a laser beam emitted by the laser emitter towards the laser receiver penetrates through the cross section of the plant growing pot; a rotary objective table is arranged and the laser measuring unit horizontally swings within a preset angle range by taking the laser emitter as a circle center, so that all root systems in the slit areas are measured; and the data analysis unit is used for performing statistical analysis on roots of to-be-measured plants according to laser measuring results, Measurement is carried out through laser without contacting a plant root system, damage to the plant root system is avoided, the root system in the whole cross section can be measured, and a pseudo-three-dimensional root system configuration can be reconstructed according to fault analysis results of a plurality of upper and lower slit areas.

Description

technical field [0001] The invention belongs to the technical field of plant phenotype identification, in particular to a plant whisker-like root configuration detection and analysis system which adopts a non-contact detection technology and has high detection accuracy. Background technique [0002] Plant roots have an indispensable function. They not only fix and support plant stems, leaves, flowers, fruits and other above-ground organs, but also are the main organs for plants to absorb water and mineral nutrients. They also play a role in nutrient storage and physiological and biochemical regulation. effect. Root architecture is not only controlled by plant genotype, but also largely affected by environmental conditions. Root architecture and root vigor are important determinants of crop yield and stress resistance. [0003] Deep rooting is one of the important characteristics of plant root system architecture, which means that a higher proportion of roots are distributed...

AI Technical Summary

Problems solved by technology

[0006] The strategies for cultivating plants and observing root system architecture in artificial scenes mainly fall into the following categories: 1) The method of hydroponics is easy to observe, but the three-dimensional structure of the root system is very different from that in the soil; 2) The root system in transparent gel Image analysis and reconstruction of 3D distribution are only applicable to small seedlings and are still quite different from the environment in the soil; 3) The method of using multi-layer splints to compress the root system in a 2D plane or in a thin layer of matrix is ​​convenient for high-throughput 4) The soil culture method of PVC root canal can better simulate the field soil environment and is easy to apply different treatments, but it can only wash out the root system for observation after the test is over, and lose the root system. Original three-dimensional distribution information; 5) X-ray CT and MRI imaging technology can carry out three-dimensional detection of plant roots in vivo, but high-resolution and large-field instruments are expensive and are affected by matrix composition and water content, while x-ray CT technology requires high transparency special media

[0007] All in all, the existing root system configuration measurement technology is either destructive in the implementation process, or can only observe a small amount of roots close to the surface of the window. In terms of technical elements such as simulated field soil environment, non-destructive continuous monitoring, and cheap high-throughput monitoring Has not yet reached a relatively ideal comprehensive optimization state

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