Rchr
J-GLOBAL ID：202001000267872267   Update date: May. 30, 2025

Toda Yusuke

トダ ユウスケ | Toda Yusuke
Affiliation and department：
National Agriculture and Food Research Organization Institute for Agro-Environmental Sciences, NARO

About National Agriculture and Food Research Organization Institute for Agro-Environmental Sciences, NARO


Job title： Researcher
Homepage URL  (1)： https://sites.google.com/view/yusuke-toda
Research field  (5)： Plant genetics and breeding ,  Plant genetics and breeding ,  Crop production science ,  Agricultural environmental and information engineering ,  Agricultural environmental and information engineering
Research keywords  (10)： Statistical analysis ,  Machine learning ,  Soybean ,  Rice ,  Genomic prediction ,  Genotype-by-environment interaction (G×E) ,  Crop growth model ,  UAV remote sensing ,  Heat tolerance ,  Reaction norm
Research theme for competitive and other funds  (2)：
  • 2023 - 2027 Development of a numerical model for multidimensional and quantitative evaluation of heat tolerance of rice cultivars in grain filling
  • 2022 - 2025 Innovative crop production with adjustment of flower opening time in the era of global warming
Papers (17)：
  • Tung Dang, Yushiro Fuji, Kie Kumaishi, Erika Usui, Shungo Kobori, Takumi Sato, Megumi Narukawa, Yusuke Toda, Kengo Sakurai, Yuji Yamasaki, et al. I-SVVS: integrative stochastic variational variable selection to explore joint patterns of multi-omics microbiome data. Briefings in Bioinformatics. 2025. 26. 3. bbaf132
  • Sachiko Toda-Matsunaga, Yusuke Toda, Ryosuke Mega, Shota Tadano, Megumi Alyza, Yuji Yamasaki, Kinya Akashi, Hisashi Tsujimoto. Wheat seeds exposed to heat during formation can germinate at high temperatures. Frontiers in Plant Science. 2025. 16. 1539926
  • Mashiro Okada, Clément Barras, Yusuke Toda, Kosuke Hamazaki, Yoshihiro Ohmori, Yuji Yamasaki, Hirokazu Takahashi, Hideki Takanashi, Mai Tsuda, Masami Yokota Hirai, et al. High-throughput Phenotyping of Soybean Biomass: Conventional Trait Estimation and Novel Latent Feature Extraction Using UAV Remote Sensing and Deep Learning Models. Plant Phenomics. 2024. 6. 0244
  • Maud Delattre, Yusuke Toda, Jessica Tressou, Hiroyoshi Iwata. Modeling soybean growth: A mixed model approach. PLOS Computational Biology. 2024. 20. 7. e1011258-e1011258
  • Yusuke Toda, Yasushi Ishigooka, Mayumi Yoshimoto, Takahiro Takimoto, Tsuneo Kuwagata, David Makowski, Toshihiro Hasegawa. Revealing the spatial characteristics of rice heat exposure in Japan through panicle temperature analysis. Journal of Agricultural Meteorology. 2024. 80. 3. 79-89
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MISC (19)：
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Education (3)：
  • 2016 - 2021 The University of Tokyo Graduate School of Agricultural and Life Sciences Agricultural and Environmental Biology
  • 2014 - 2016 The University of Tokyo Faculty of Agriculture Major in Applied Biology
  • 2012 - 2014 The University of Tokyo
Work history (3)：
  • 2025/04 - 現在 National Agriculture and Food Research Organization Institute for Agro-Environmental Sciences, NARO Researcher
  • 2022/04 - 2025/03 National Agriculture and Food Research Organization Institute for Agro-Environmental Sciences, NARO Researcher
  • 2021/04 - 2022/03 The University of Tokyo Graduate School of Agricultural and Life Sciences Project researcher
Awards (2)：
  • 2024/10 - Japanese Society of Breeding Awards for excellence in presentation Projection of heat-induced spikelet sterility of rice and effects of breeding strategies
  • 2021/03 - Graduate School of Agricultural and Life Sciences, The University of Tokyo Dean's Award
Association Membership(s) (3)：
The Society of Agricultural Meteorology of Japan ,  Japanese Society of Breeding ,  Japanese Society of Agricultural Informatics
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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