Rchr
J-GLOBAL ID:201601007939244601   Update date: May. 22, 2024

Yoshida Hiroe

ヨシダ ヒロエ | Yoshida Hiroe
Affiliation and department:
Research field  (1): Crop production science
Research keywords  (3): Rice ,  Climate change ,  Crop growth simulation model
Research theme for competitive and other funds  (2):
  • 2023 - 2026 Crop design simulator utilizing deep neural networks with crop growth model as knowledge layer
  • 2010 - 2012 Modeling of genotypic and environmental variation in panicle number of rice
Papers (33):
  • 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
  • Masaki Okamura, Ryutaro Morita, Yumiko Arai-Sanoh, Hiroe Yoshida, Hiroshi Nakagawa, Naohiro Aoki. Estimation of sink capacity of rice grains: A comparison of calculation methods based on 1000-grain weight and grain projected area. PLANT PRODUCTION SCIENCE. 2023. 26. 3. 236-248
  • 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
  • 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
  • Yubin Yang, Lloyd T. Wilson, Tao Li, Livia Paleari, Roberto Confalonieri, Yan Zhu, Liang Tang, Xiaolei Qiu, Fulu Tao, Yi Chen, et al. Integration of Genomics with Crop Modeling for Predicting Rice Days to Flowering: A Multi-Model Analysis. Field Crops Research. 2022. 276
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MISC (72):
  • 矢部志央理, 吉田ひろえ, 澤田寛子, 鐘ヶ江弘美, 後藤明俊, 山崎将紀, 中川博視. Method for detection of environment-responsive QTL relating to heading date using phenology model in rice. 日本作物学会講演会要旨集. 2023. 255th
  • 渡邊和洋, 水本晃那, 吉田ひろえ, 中園江, 内野彰, 高橋飛鳥, 塔野岡卓司. 東海地域における糯性オオムギ品種の収量特性比較. 東海作物研究. 2023. 151
  • 大角 壮弘, 森岡 涼子, 江波戸 宗大, 中川 博視, 吉田 ひろえ. 水稲奨励品種決定基本調査から推定される試験場の収量値と生産者収量との違い-Difference between Attainable Yield and Farmers' Actual Yield in Rice in Japan. 日本作物学会紀事. 2022. 91. 1. 28-38
  • The Agro-Meteorological Decision Support System for Rice Production and Its Testing. 2022. 3248. 25-29
  • 大角壮弘, 大角壮弘, 森岡涼子, 江波戸宗大, 江波戸宗大, 中川博視, 吉田ひろえ. Estimated yield based on rice yield trial database and farmers’ average yield in Japan. 日本作物学会講演会要旨集. 2021. 251st
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Lectures and oral presentations  (46):
  • 日本水稲品種群における粒重分布と穂構造の関係
    (育種学研究 2017)
  • 水稲の幼穂分化・発達過程の環境応答とその品種間差異
    (日本作物学会講演会要旨集 2017)
  • 気象庁全球数値予報モデルGPV(GSM日本域)を利用した全天日射量分布の推定および精度検証
    (日本農業気象学会全国大会講演要旨/Proceedings of International Symposium on Agricultural Meteorology 2017)
  • 日本水稲品種群を用いた粒重分布の特徴記述と品種間差の解析
    (育種学研究 2016)
  • 「メッシュ農業気象データ」における予測気温の確からしさ情報について
    (日本農業気象学会全国大会講演要旨/Proceedings of International Symposium on Agricultural Meteorology 2016)
more...
Professional career (1):
  • 博士(農学) (京都大学)
Work history (7):
  • 2023/10 - 現在 National Agriculture and Food Research Organization
  • 2021/04 - 2022/09 National Agriculture and Food Research Organization
  • 2016/04 - 2021/06 National Agriculture and Food Research Organization Institute for Agro-Environmental Sciences, NIAES
  • 2014/04 - 2016/03 National Agriculture and Food Research Organization, NARO National Agricultural Research Center Researcher
  • 2013/04 - 2014/03 Wageningen UR Centre for Crop Systems Analysis Visiting Researcher
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Association Membership(s) (2):
THE SOCIETY OF AGRICULTURAL METEOROLOGY OF JAPAN ,  CROP SCIENCE SOCIETY OF JAPAN
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