YABE Shiori

ヤベシオリ | YABE Shiori

Affiliation and department：

Research field (1)： Plant genetics and breeding

Research keywords (5)： rice , breeding simulation , genomic selection , Statistical genetics , Biometrics

Research theme for competitive and other funds (8)：

2023 - 2026 Crop design simulator utilizing deep neural networks with crop growth model as knowledge layer
2023 - 2026 アンバランスなデータにおける環境変動を考慮したQTL検出法の開発
2020 - 2025 サイバーフィジカルシステムを利用した作物強靭化による食糧リスクゼロの実現
2020 - 2023 ゲノミック予測とシミュレーションによる育種最適化基盤の開発
2018 - 2023 育種ビッグデータの整備および情報解析技術を活用した高度育種システムの開発

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Papers (29)：

Satoshi Kawakita, Masanori Yamasaki, Ryo Teratani, Shiori Yabe, Hiromi Kajiya-Kanegae, Hiroe Yoshida, Erina Fushimi, Hiroshi Nakagawa. Dual ensemble approach to predict rice heading date by integrating multiple rice phenology models and machine learning-based genetic parameter regression models. Agricultural and Forest Meteorology. 2024. 344. 109821-109821
Shujun Wei, Ryokei Tanaka, Taiji Kawakatsu, Shota Teramoto, Nobuhiro Tanaka, Matthew Shenton, Yusaku Uga, Shiori Yabe. Genome- and Transcriptome-wide Association Studies to Discover Candidate Genes for Diverse Root Phenotypes in Cultivated Rice. Rice. 2023. 16. 1. 55
Eiji Yamamoto, Shiori Yabe, Mayuko Inari-Ikeda, Hideki Yoshida, Yoichi Morinaka, Makoto Matsuoka, Hidemi Kitano. Independent control of organ number and distribution pattern in rice panicle. Frontiers in Plant Science. 2023. 14. 1119770-1119770
Hiroshi Nakano, Hiroe Yoshida, Shiori Yabe, Erina Fushimi, Ryo Tanaka, Masanori Yamasaki, Hiroshi Nakagawa. γ-Oryzanol concentrations in various rice genotypes ripened under different air temperatures. Cereal Chemistry. 2022
Ryoma Takeshima, Shiori Yabe, Katsuhiro Matsui. Genetic basis of maturity time is independent from that of flowering time and contributes to ecotype differentiation in common buckwheat (Fagopyrum esculentum Moench). BMC Plant Biology. 2022. 22. 353

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MISC (6)：

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Books (1)：

Lectures and oral presentations (89)：

気象データを利用した水稲の幼穂長推定モデルの開発
(日本作物学会第255回講演会 2023)
Genome and transcriptome wide association studies for root traits in world rice core collection
(日本育種学会第143回講演会 2023)
発育予測モデルを用いた水稲の出穂に関する環境応答QTLの検出法の開発
(日本作物学会第255回講演会 2023)
Simulation based optimization for genomics-assisted breeding scheme in an outcrossing crop assuming traits in a trade-off relationship depending on the situation
(Plant and Animal Genome 30 2023)
知識注入型ニューラルネットワークによる水稲発育予測モデルの検証とチューニング法
(日本作物学会第254回講演会 2022)

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Professional career (1)：

Work history (6)：

2021/10 - 現在 National Agriculture and Food Research Organization Institute of Crop Science, NARO
2021/04 - 2021/09 National Agriculture and Food Research Organization Institute of Crop Science
2019/04 - 2021/03 Institute of Crop Science, NARO Division of Basic Research, Breeding Informatics Unit Researcher
2016/04 - 2019/03 NICS Division of Basic Research, Breeding Informatics Research Unit Researcher
2015/12 - 2019/03 JST PRESTO Researcher

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Awards (7)：

2024 - 日本育種学会奨励賞
2023 - 日本作物学会論文賞
2021/10 - 日本育種学会論文賞 Simulation-based optimization of genomic selection scheme for accelerating genetic gain while preventing inbreeding depression in onion breeding.
2018/04 - 日本作物学会第245回講演会優秀発表賞
2016 - 日本育種学会第130回講演会優秀発表賞

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Association Membership(s) (2)：

CROP SCIENCE SOCIETY OF JAPAN , JAPANESE SOCIETY OF BREEDING

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