Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation.

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Bibliographic Details
Title: Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation.
Authors: Akiyama R; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland., Goto T; Research and Development Division, LPIXEL Inc., Chiyoda-ku, Tokyo, 100-0004, Japan., Tameshige T; Kihara Institute for Biological Research (KIBR), Yokohama City University, 641-12 Maioka, Totsuka-ward, Yokohama, 244-0813, Japan.; Division of Biological Science, Graduate School of Science and Technology, Nara Institute of Science and Technology (NAIST), 8916-5 Takayama-Cho, Ikoma, Nara, 630-0192, Japan., Sugisaka J; Kihara Institute for Biological Research (KIBR), Yokohama City University, 641-12 Maioka, Totsuka-ward, Yokohama, 244-0813, Japan.; Center for Ecological Research, Kyoto University, Hirano 2-509-3, Otsu, 520-2113, Japan., Kuroki K; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan., Sun J; Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization, 3-1-1 Kannondai, Tsukuba, Ibaraki, 305-8517, Japan., Akita J; Department of Electric and Computer Engineering, Kanazawa University, Kakuma, Kanazawa, 920-1192, Japan., Hatakeyama M; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.; Functional Genomics Center Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland., Kudoh H; Center for Ecological Research, Kyoto University, Hirano 2-509-3, Otsu, 520-2113, Japan., Kenta T; Sugadaira Research Station, Mountain Science Center, University of Tsukuba, 1278-294 Sugadaira-kogen, Ueda, 386-2204, Japan., Tonouchi A; Research and Development Division, LPIXEL Inc., Chiyoda-ku, Tokyo, 100-0004, Japan., Shimahara Y; Research and Development Division, LPIXEL Inc., Chiyoda-ku, Tokyo, 100-0004, Japan., Sese J; Artificial Intelligence Research Center, AIST, 2-3-26 Aomi, Koto-ku, Tokyo, 135-0064, Japan.; Humanome Lab, Inc., L-HUB 3F, 1-4, Shumomiyabi-cho, Shinjuku, Tokyo, 162-0822, Japan.; AIST-Tokyo Tech RWBC-OIL, 2-12-1 O-okayama, Meguro-ku, Tokyo, 152-8550, Japan., Kutsuna N; Research and Development Division, LPIXEL Inc., Chiyoda-ku, Tokyo, 100-0004, Japan., Shimizu-Inatsugi R; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland. rie.inatsugi@ieu.uzh.ch., Shimizu KK; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland. kentaro.shimizu@uzh.ch.; Kihara Institute for Biological Research (KIBR), Yokohama City University, 641-12 Maioka, Totsuka-ward, Yokohama, 244-0813, Japan. kentaro.shimizu@uzh.ch.
Source: Nature communications [Nat Commun] 2023 Sep 22; Vol. 14 (1), pp. 5792. Date of Electronic Publication: 2023 Sep 22.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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