Kengo Sakurai

Profile Information

Affiliation: Assistant Professor, Graduate School of Agricultural and Life Sciences, Agricultural and Environmental Biology, The University of Tokyo

ORCID iD: https://orcid.org/0000-0001-7773-289X
J-GLOBAL ID: 202501019829779809
researchmap Member ID: R000082137

External link: https://sakuraikengo.github.io/Homepage/

Research Areas

Environmental science/Agricultural science / Plant genetics and breeding /

Research History

Mar, 2025 - Present

Assistant Professor, Graduate School of Agricultural and Life Sciences, The University of Tokyo

Education

Apr, 2022 - Mar, 2025

Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo
Apr, 2020 - Mar, 2022

Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo
Apr, 2018 - Mar, 2020

The University of Tokyo
Apr, 2016 - Mar, 2018

The University of Tokyo

Awards

Sep, 2024

優秀発表賞, 期待される近交系の能力分布をもとに複数形質を考慮した交配戦略, 日本育種学会

櫻井建吾, Moreau Laurence, Mary-Huard Tristan, 岩田洋佳, Charcosset Alain
Oct, 2023

Poster Awards, Crossing Strategy for Plant Breeding, Symposium University of Tokyo - ETH Zurich - University of Zurich

Kengo Sakurai, Kousuke Hamazaki, Minoru Inamori, Hiroyoshi Iwata

Papers

Progeny-based genomic selection reveals untapped genetic potential in an underutilized medicinal plant, Perilla frutescens

Sei Kinoshita, Kengo Sakurai, Takahiro Tsusaka, Miki Sakurai, Kenta Shirasawa, Sachiko Isobe, Hiroyoshi Iwata

Nov 29, 2025
Optimization of crossing strategy based on the usefulness criterion in interpopulation crosses considering different marker effects among populations

Sei Kinoshita, Kengo Sakurai, Kosuke Hamazaki, Takahiro Tsusaka, Miki Sakurai, Kenta Shirasawa, Sachiko Isobe, Hiroyoshi Iwata

Theoretical and Applied Genetics, Jul, 2025
I-SVVS: integrative stochastic variational variable selection to explore joint patterns of multi-omics microbiome data

Tung Dang, Yushiro Fuji, Kie Kumaishi, Erika Usui, Shungo Kobori, Takumi Sato, Megumi Narukawa, Yusuke Toda, Kengo Sakurai, Yuji Yamasaki …

Briefings in Bioinformatics, May 1, 2025
Cross potential selection: a proposal for optimizing crossing combinations in recurrent selection using the usefulness criterion of future inbred lines

Kengo Sakurai, Kosuke Hamazaki, Minoru Inamori, Akito Kaga, Hiroyoshi Iwata

G3: Genes, Genomes, Genetics, Nov 6, 2024
Assessing the Potential for Genome-Assisted Breeding in Red Perilla Using Quantitative Trait Locus Analysis and Genomic Prediction

Sei Kinoshita, Kengo Sakurai, Kosuke Hamazaki, Takahiro Tsusaka, Miki Sakurai, Terue Kurosawa, Youichi Aoki, Kenta Shirasawa, Sachiko Isobe, Hiroyoshi Iwata

Genes, Nov 27, 2023
Random regression for modeling soybean plant response to irrigation changes using time-series multispectral data

Kengo Sakurai, Yusuke Toda, Kosuke Hamazaki, Yoshihiro Ohmori, Yuji Yamasaki, Hirokazu Takahashi, Hideki Takanashi, Mai Tsuda, Hisashi Tsujimoto, Akito Kaga …

Frontiers in Plant Science, Jul 5, 2023
Time‐series multispectral imaging in soybean for improving biomass and genomic prediction accuracy

Kengo Sakurai, Yusuke Toda, Hiromi Kajiya‐Kanegae, Yoshihiro Ohmori, Yuji Yamasaki, Hirokazu Takahashi, Hideki Takanashi, Mai Tsuda, Hisashi Tsujimoto, Akito Kaga …

The Plant Genome, Dec, 2022
Chemical-Mediated Microbial Interactions Can Reduce the Effectiveness of Time-Series-Based Inference of Ecological Interaction Networks

Kenta Suzuki, Masato S. Abe, Daiki Kumakura, Shinji Nakaoka, Fuki Fujiwara, Hirokuni Miyamoto, Teruno Nakaguma, Mashiro Okada, Kengo Sakurai, Shohei SHIMIZU …

International Journal of Environmental Research and Public Health, Jan 22, 2022

Misc.

Selection and crossing of soybean RILs based on ionomic and genomic data for improving drought tolerance across distinct controlled environments

樽本ひなの, 櫻井建吾, 木下青, 戸田悠介, 大森良弘, 津田麻衣, 辻本壽, 加賀秋人, 岩田洋佳

育種学研究, 27, 2025
Integrative Analysis of Drought Response Using Multi-Omics Data in a Soybean RIL Population

高橋祐樹, 櫻井建吾, 戸田悠介, 藤佑志郎, 大森良弘, 山崎裕司, 高橋宏和, 高梨秀樹, 津田麻衣, 平井優美 …

育種学研究, 27, 2025
Strategic crossing using genome data to improve genetic potential in soybean RIL population

櫻井建吾, 戸田悠介, 稲森稔, 濱崎甲資, 辻本壽, 加賀秋人, 岩田洋佳

育種学研究, 27, 2025
Assessment of Crop Interactions in Soybean-Sorghum Intercropping Using Time-Series UAV Data

砂川隼秀, 櫻井建吾, 木下青, LIU J., LIU J., 石井孝佳, 石井孝佳, 高梨秀樹, 岡田眞銀, 藤佑志郎 …

育種学研究, 27, 2025

Teaching Experience

Oct, 2025 - Present

Biometrics (The University of Tokyo)
Oct, 2025 - Present

Experiments in Advanced Applied Biology (The University of Tokyo)
Oct, 2025 - Present

Play and Learn! Exploring Genetics and Data Science with the Genome Breeding Game (The University of Tokyo)
Mar, 2025 - Present

Experiments in Applied Biology I (The University of Tokyo)
Mar, 2025 - Present

Practice in Basic Field Agrobiology (The University of Tokyo)
Mar, 2025 - Present

Advanced Biometrics (The University of Tokyo)
Mar, 2025 - Present

Biostatistics (The University of Tokyo)

Professional Memberships

Feb, 2020 - Present

日本育種学会

Research Projects

国内新品種の作出を目指した海外品種活用型育種戦略の構築

科学研究費助成事業, 研究活動スタート支援, 日本学術振興会, Jul, 2025 - Mar, 2027

櫻井建吾

Profile Information

Research Areas

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Education

Awards

Papers

Misc.

Teaching Experience

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