Tsuda Mai

ツダマイ | Tsuda Mai

Affiliation and department：

Research field (1)： Plant genetics and breeding

Research keywords (1)：ゲノム編集

Research theme for competitive and other funds (15)：

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Papers (38)：

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
Yusuke Toda, Goshi Sasaki, Yoshihiro Ohmori, Yuji Yamasaki, Hirokazu Takahashi, Hideki Takanashi, Mai Tsuda, Hiromi Kajiya-Kanegae, Hisashi Tsujimoto, Akito Kaga, et al. Reaction norm for genomic prediction of plant growth: modeling drought stress response in soybean. 2023
Kengo Sakurai, Yusuke Toda, Kosuke Hamazaki, Yoshihiro Ohmori, Yuji Yamasaki, Hirokazu Takahashi, Hideki Takanashi, Mai Tsuda, Hisashi Tsujimoto, Akito Kaga, et al. Random regression for modeling soybean plant response to irrigation changes using time-series multispectral data. Frontiers in Plant Science. 2023. 14
津田, 麻衣. 従来育種からゲノム編集を考える. 育種学研究. 2023
Khuynh The Bui, Toshiya Naruse, Hideki Yoshida, Yusuke Toda, Yoshihiro Omori, Mai Tsuda, Akito Kaga, Yuji Yamasaki, Hisashi Tsujimoto, Yasunori Ichihashi, et al. Effects of irrigation on root growth and development of soybean: A 3-year sandy field experiment. Frontiers in Plant Science. 2022. 13

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MISC (21)：

福本勇太, CHEN T., CHEN T., 戸田悠介, 大森良弘, 山崎裕司, 高橋宏和, 高梨秀樹, 津田麻衣, 平井優美, et al. Fusion of UAV remote sensing data and hand-measured data based on a nonlinear growth model. 育種学研究. 2023. 25
岩田洋佳, 戸田悠介, 櫻井建吾, 藤佑志郎, 大森良弘, 山崎裕司, 高橋宏和, 高梨秀樹, 津田麻衣, 鐘ケ江弘美, et al. Selection of cross combinations based on genomic-ionomic prediction models: application to the breeding of drought tolerant soybean lines. 育種学研究. 2023. 25
岩田洋佳, 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, 鐘ケ江弘美, 平井優美, et al. Using multi-omics data as an intermediate phenotype to improve the accuracy of genomic prediction. 育種学研究. 2022. 24
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, 辻本壽, et al. Estimating genetic correlation between traits and environments based on the analysis of high-dimensional ・multi-environmental multiomics data. 育種学研究. 2022. 24
櫻井建吾, 戸田悠介, 大森良弘, 山崎裕司, 高橋宏和, 高梨秀樹, 津田麻衣, 石森元幸, 辻本壽, 加賀秋人, et al. Predict genetic variation in drought tolerance of soybean based on a vegetation index and genomic information. 育種学研究. 2022. 24

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Books (9)：

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Lectures and oral presentations (56)：

Phenotypic prediction of soybean based on the spectral reflectance spectra respond to drought stress.
(World Soybean Reseaarch Conference)
The Characteristics of Japan’s ERA of Genetically Modified Crops and Proposal for Streamlining Data Requirements
(16th International Society for Biosafety Research)
Selection of cross combinations based on genomic-ionomic prediction models: application to the breeding of drought tolerant soybean lines
(日本育種学会大143回講演会)
Effect of plant-soil feedbacks under drought on drought tolerance of succeeding soybean plants.
(第64回日本植物生理学会)
ダイズにおける植生指数と干ばつ耐性の遺伝的な関係性を多形質モデルを用いて評価する
(日本育種学会第140回講演会 2021)

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Professional career (1)：

Work history (2)：

Committee career (4)：

Awards (1)：

Association Membership(s) (2)：

日本ゲノム編集学会 , JAPANESE SOCIETY OF BREEDING

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