Art

J-GLOBAL ID：202002225286658094   Reference number：20A0751808

Impact assessment of climate change on the major rice cultivar Ciherang in Indonesia

インドネシアにおける主要なイネ品種Ciherangに及ぼす気候変動の影響評価

Author (10)： KINOSE Yoshiyuki (Graduate Faculty of Interdisciplinary Research, University of Yamanashi) ,  MASUTOMI Yuji (College of Agriculture, Ibaraki University) ,  SHIOTSU Fumitaka (School of Agriculture, Meiji University) ,  HAYASHI Keiichi (Soil Scientist Crop and Environmental Science Division, International Rice Research Institute) ,  HAYASHI Keiichi (Crop, Livestock and Environment Division, Japan International Research Center for Agricultural Sciences) ,  OGAWADA Daikichi (R&D Center, Nippon Koei Co., Ltd.) ,  Martin GOMEZ-GARCIA (R&D Center, Nippon Koei Co., Ltd.) ,  MATSUMURA Akiko (R&D Center, Nippon Koei Co., Ltd.) ,  TAKAHASHI Kiyoshi (Center for Social and Environmental Systems Research, National Institute for Environmental Studies) ,  FUKUSHI Kensuke (Integrated Research System for Sustainability Science, The University of Tokyo Institutes for Advanced Studies)
Material： 農業気象  (Journal of Agricultural Meteorology)
Volume： 76  Issue： 1  Page： 19-28(J-STAGE)  Publication year： 2020 
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： *Oryza sativa ,  cultivar ,  *climatic variation ,  Republic of Indonesia ,  mathematical model ,  plant growth ,  *crop yield ,  air temperature ,  elevation ,  amount of precipitation ,  concentration (ratio) ,  carbon dioxide ,  simulation ,  forecast ,  Photosynthesis ,  velocity ,  Respiration ,  senile change ,  food security ,  carbon dioxide concentration ,  air temperature rise ,  breathing rate ,  photosynthesis rate ,  crop growth ,  growth model ,  climate change scenarios ,  atmospheric carbon dioxide ,  plant physiology ,  Policy
Semi thesaurus term： climate scenarios ,  atmospheric carbon dioxide

Author keywords (5)： Climate change ,  Indonesia ,  Local rice cultivar ,  Model simulation ,  Yield

JST classification (2)： Rice cropping  (FC03020C) ,  Influence on plants  (EE04030Z)

Reference (48)：

• Aggarwal PK, Mall RK, 2002: Climate change and rice yields in diverse agro-environments of India. II. Effect of uncertainties in scenarios and crop models on impact assessment. Climatic Change 52, 331-343.\n
• Babel MS, Agarwal A, Swain DK, Herath S, 2011: Evaluation of climate change impacts and adaptation measures for rice cultivation in Northeast Thailand. Climate Research 46, 137-146.
• BPS (Badan Pusat Statistik), 2016: Food Crops. https://www.bps.go.id/subject/53/tanaman-pangan.html#subjekViewTab3. Accessed 31 July 2019.
• Bouman BAM, Kropff MJ, Tuong TP, Wopereis MCS, ten Berge HFM, van Laar HH, 2001: ORYZA2000: Modeling Lowland Rice. International Rice Research Institute, and Wageningen: Wageningen University and Research Centre, Los Baños, Philippines, pp. 235.
• Dlugokencky E, Tans P, 2019: NOAA/ESRL. http://www.esrl.noaa.gov/gmd/ccgg/trends/. Accessed 31 July 2019.

Terms in the title (5)： インドネシア ,  イネ ,  品種 ,  気候変動の影響 ,  評価