[P] 33 Imaging/Quantification

[PO-717] Time-series field phenotyping system PlantServation using machine learning revealed seasonal pigment fluctuation trends in diploid and polyploid Arabidopsis

[on-site]

*Toshiaki Tameshige^1,2, Reiko Akiyama³, Takao Goto⁴, Jiro Sugisaka^5,1, Ken Kuroki⁶, Jianqiang Sun⁷, Junichi Akita⁸, Masaomi Hatakeyama^3,9, Hiroshi Kudoh⁵, Tanaka Kenta¹⁰, Aya Tonouchi⁴, Yuki Shimahara⁴, Jun Sese^11,12,13, Natsumaro Kutsuna⁴, Rie Shimizu-Inatsugi³, Kentaro K Shimizu^1,3 (1. Yokohama City University, Japan, 2. Nara Institute of Science and Technology, Japan, 3. University of Zurich, Switzerland, 4. LPixel Inc., Japan, 5. Kyoto University, Japan, 6. The University of Tokyo, Japan, 7. NARO, Japan, 8. Kanazawa University, Japan, 9. Functional Genomics Center Zurich, Switzerland , 10. University of Tsukuba, Japan, 11. AIST, Japan , 12. Humanome Lab, Inc., Japan, 13. AIST-Tokyo Tech RWBC-OIL, Japan)

Keywords:Abiotic response, Imaging/quantification, Evolution, Database/software/bioinformatics