A group from the Tokyo Institute of Technology, Hokkaido University, the University of Tokyo, and Kyoto University has developed a new technology that uses elastic waves to nondestructively, rapidly, and accurately measure the easiness of deformation of corn stalks used for feed. succeeded in doing
One of the problems in the production of domestic feed corn is the phenomenon of corn lodging caused by typhoons and heavy rains.Lodging is widespread in cereal crops, reducing yield and quality and causing significant reductions in operating speed.On the other hand, in order to make feed corn production economically viable, it is necessary to realize large-scale and efficient production, and avoiding the occurrence of lodging is an important issue.
Until now, destructive testing using a material testing machine has been carried out in the selection of cereal crop lines that are resistant to lodging (lodging-resistant lines).This method has been difficult to apply to maize breeding because it is necessary to cut stems and leaves from the field on a per-individual basis, prepare stem fragments, and determine the strength by bending tests while the stems are fresh.
The research group developed an ultra-compact sensor array inspired by earthquake engineering, and combined it with physical numerical simulations to quickly and accurately evaluate the Young's modulus (one of the values representing hardness and softness) of corn varieties. Propose a method toIn the research, elastic waves (waves propagating inside the tissue) generated by lightly tapping the ground part of corn are observed and analyzed with a sensor array attached to the stalk, and the stalk is detected within 0.1 seconds. Young's modulus was measured.Furthermore, the validity of Young's modulus obtained by the new technology was confirmed by physical numerical simulation and field test.
It is expected that the results of this research will be applied to rice, wheat, soybean, etc., and that it will help develop varieties that are resistant to typhoons and heavy rains.