Unverified paper record
Nondestructive and Fast Vibration Phenotyping of Plants.
Plant phenomics (Washington, D.C.) · 25 Jun 2019 · 10.34133/2019/6379693
Abstract
The frequencies of free oscillations of plants, or plant parts, depend on their geometries, stiffnesses, and masses. Besides direct biomechanical interest, free frequencies also provide insights into plant properties that can usually only be measured destructively or with low-throughput techniques (e.g., change in mass, tissue density, or stiffness over development or with stresses). We propose here a new high-throughput method based on the noncontact measurements of the free frequencies of the standing plant. The plant is excited by short air pulses (typically 100 ms). The resulting motion is recorded by a high speed video camera (100 fps) and processed using fast space and time correlation algorithms. In less than a minute the mechanical behavior of the plant is tested over several directions. The performance and versatility of this method has been tested in three contrasted species: tobacco (Nicotiana benthamian), wheat (Triticum aestivum L.), and poplar (Populus sp.), for a total of more than 4000 data points. In tobacco we show that water stress decreased the free frequency by 15%. In wheat we could detect variations of less than 1 g in the mass of spikes. In poplar we could measure frequencies of both the whole stem and leaves. The work provides insight into new potential directions for development of phenotyping.
Plant phenotyping relevance
植物の自由振動を非接触・高速に測定し、質量や水ストレスなどの植物形質を推定する高スループット手法を開発・検証しており、フェノタイピング手法が研究の中心です。
abstractWe propose here a new high-throughput method based on the noncontact measurements of the free frequencies of the standing plant.
abstractThe performance and versatility of this method has been tested in three contrasted species
abstractThe work provides insight into new potential directions for development of phenotyping.
Code and data availability
The article describes vibration phenotyping experiments on tobacco, wheat, and poplar with >4000 frequency data points, but contains no data availability statement, no public dataset deposit, no code or software release, and no supplementary material link. Signal processing is described only conceptually (Matlab-based,
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