Art

J-GLOBAL ID：201902261696142006   Reference number：19A2626317

Estimating first-grade rice production due to high temperature after heading date utilizing the statistical data

統計データを用いた出穂期後の高温による一等米生産の推定

Author (8)： FUKUI Shin (Faculty of Human Sciences, Waseda University) ,  FUKUI Shin (Stock Management Group, Research Center for Fisheries Resources, National Research Institute of Fisheries Science, Japan Fisheries Research and Education Agency) ,  NISHIHARA Yukinaga (Faculty of Human Sciences, Waseda University) ,  NISHIHARA Yukinaga (Organization for Regional and Inter-regional Studies, Waseda University) ,  TAMAKI Emi (Faculty of Science and Engineering, Waseda University) ,  TAKAHASHI Daisuke (Faculty of Political Science and Economics, Takushoku University) ,  ISHIGOOKA Yasushi (Institute for Agro-Environmental Sciences, National Agricultural and Food Research Organization) ,  YOSHIDA Ryuhei (Faculty of Symbiotic Systems Science, Fukushima University)
Material： 農業気象  (Journal of Agricultural Meteorology)
Volume： 75  Issue： 4  Page： 217-224(J-STAGE)  Publication year： 2019 
JST Material Number： X0731A  ISSN： 0021-8588  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： statistical data ,  growth stage ,  high temperature ,  *climatic variation ,  *quality ,  *Oryza sativa ,  cultivation ,  climatic model ,  simulation model ,  degradation (alteration) ,  prediction model ,  cultivar ,  temperature dependence ,  accuracy ,  environmental impact ,  damaged grain ,  parameter ,  rice cultivation ,  *Grain quality ,  crop model ,  heading time ,  statistical model ,  white-immature kernel ,  prediction accuracy ,  model
Semi thesaurus term： statistical model ,  Climate change impacts ,  quality degradation

Author keywords (4)： Climate change ,  Cultivar ,  Oryza sativa ,  Statistical data

JST classification (3)： Rice cropping  (FC03020C) ,  Influence on plants  (EE04030Z) ,  Climatology,climatic change  (DC05140T)

Reference (31)：

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• GRiSP (Global Rice Science Partnership), 2013: Rice Almanac 4th Edition. International Rice Research Institute, Los Banos, Philippines.\n
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• Iizumi T, Yokozawa M, Nishimori M, 2011: Probabilistic evaluation of climate change impacts on paddy rice productivity in Japan. Climatic Change 107, 391-415. https://doi.org/10.1007/s10584-010-9990-7

Terms in the title (3)： 統計データ ,  出穂期 ,  推定