Rchr
J-GLOBAL ID：201301044260627722
Update date: Sep. 11, 2024
Takeshi Hayashi
ハヤシ タケシ | Takeshi Hayashi
Affiliation and department：
Research field (2)：
Statistical science
, Plant genetics and breeding
Research keywords (10)：
ベイズ推定
, 多次元データ解析
, 統計遺伝学
, 機械学習
, 育種シミュレーション
, ゲノミックセレクション
, 環境応答
, モデル化
, 作物育種
, 量的形質遺伝子座(QTL)
Research theme for competitive and other funds (4)：
- 2019 - 2022 Comprehensive analysis of fruit taste and aroma regulator genes using fig genetic resources and its expansion to the science of taste
- 2013 - 2016 Development of an integrated modeling method for developing environmentally adaptable varieties
- 2010 - 2012 Development of an innovative crop breeding system utilizing genomic selection
- 2007 - 2009 Analysis of genetic mechanism determining the crop environmental response by coordinating crop growth model and genetic model
Papers (104)：
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Yuko Numajiri, Saki Yoshida, Takeshi Hayashi, Yusaku Uga. Three-dimensional image analysis specifies the root distribution for drought avoidance in the early growth stage of rice. Annals of Botany. 2024
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Akio Ohyama, Hiroshi Matsunaga, Yasushi Kawasaki, Kenta Shirasawa, Satomi Negoro, Koji Miyatake, Hirotaka Yamaguchi, Tsukasa Nunome, Hiroyoshi Iwata, Hiroyuki Fukuoka, et al. Bayesian estimation of multi-allele QTLs for agricultural traits in tomato using recombinant inbred lines derived from two F-1 hybrid cultivars. EUPHYTICA. 2023. 219. 1
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Sogo Nishio, Takeshi Hayashi, Kenta Shirasawa, Shingo Terakami, Norio Takada, Yukie Takeuchi, Atsushi Imai, Toshihiro Saito. Detecting a novel locus associated with pellicle peelability in Japanese chestnut populations preselected for a major peelability gene. SCIENTIA HORTICULTURAE. 2022. 306
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Shiori Yabe, Hiroe Yoshida, Erina Fushimi, Masanori Yamasaki, Hideo Maeda, Takeshi Hayashi, Hiroshi Nakagawa. A novel index to evaluate resource allocation pattern in panicles in Japanese rice cultivars. PLANT PRODUCTION SCIENCE. 2022. 25. 2. 195-210
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Aisaku Arakawa, Takeshi Hayashi, Masaaki Taniguchi, Satoshi Mikawa, Motohide Nishio. Hamiltonian Monte Carlo method for estimating variance components. Animal science journal = Nihon chikusan Gakkaiho. 2021. 92. 1. e13575
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MISC (123)：
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後藤明俊, 後藤明俊, 林武司, 谷口昇志, 鐘ヶ江弘美, 松下景, 菊井玄一郎, 矢野昌裕, 米丸淳一, 米丸淳一. Crossing simulator for the range of trait values in progeny from the parental genome data based on historical data and its validation. 育種学研究. 2022. 24
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鐘ケ江弘美, 菊井玄一郎, 松下景, 矢野昌裕, 林武司, 米丸淳一, 米丸淳一. Development of knowledge-graph-based trait prediction method. 育種学研究. 2022. 24
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望月秀斗, 南川舞, 國久美由紀, 野下浩司, 野下浩司, 森谷茂樹, 阿部和幸, 林武司, 片寄裕一, 山本俊哉, et al. Estimation of the bias of founder haplotypes in the breeding process based on genealogical and marker information: Application to apple varieties. 育種学研究. 2021. 23
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鐘ヶ江弘美, 松下景, 松下景, 林武司, 竹崎あかね, 矢野昌裕, 菊井玄一郎, 米丸淳一, 米丸淳一. Pedigree Finder: a web-based pedigree viewer for graph databases. 育種学研究. 2021. 23
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KWON Y., 鐘ヶ江弘美, 林武司, 松下景, 松下景, 後藤明俊, 後藤明俊, 菊井玄一郎, 矢野昌裕, 米丸淳一, et al. Development of a Haplotype Visualization Tool for Modern Rice Cultivars. 育種学研究. 2021. 23
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Professional career (1)：
Work history (2)：
- 2016/04 - 現在 研究開発法人農業・食品産業技術総合研究機構 次世代作物開発研究センター 基盤研究領域 情報解析ユニット ユニット長
- 2010/04 - 2016/03 NARO Agricultural Research Center
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