Literature DB >> 31189777

Global warming and rice production in Asia: Modeling, impact prediction and adaptation.

Takeshi Horie1.   

Abstract

Since the projection of global warming emerged in 1980s with the potential of laying enormous impacts on agriculture and food security of the world, we have conducted experimental and modeling studies for clarifying its effects on rice production in Asia and for developing adaptive rice production technologies. On the basis of measurement of rice responses to climate and carbon dioxide concentration ([CO2]), the dynamic process model named SIMRIW was developed to predict global warming effects on irrigated rice. The model predicted differential regional effects of the projected global warming by doubling [CO2] on the rice yield over Asia, and indicated that high tolerance to heat-induced spikelet sterility and high yield potential under elevated [CO2] are the two important characteristics required for rice genotypes adaptive to global warming environment. Further, genetic traits associated with these characteristics and their genetic resources for breeding adaptive genotypes were identified from diverse rice germplasms. This article reviews our initiative studies in the light of the recent studies, and points out further research that is needed for better understanding and overcoming of this unprecedentedly large problem.

Entities:  

Keywords:  Asia; adaptation; climate change; impact assessment; modeling; rice

Mesh:

Year:  2019        PMID: 31189777      PMCID: PMC6751296          DOI: 10.2183/pjab.95.016

Source DB:  PubMed          Journal:  Proc Jpn Acad Ser B Phys Biol Sci        ISSN: 0386-2208            Impact factor:   3.493


  17 in total

1.  Cytokinin oxidase regulates rice grain production.

Authors:  Motoyuki Ashikari; Hitoshi Sakakibara; Shaoyang Lin; Toshio Yamamoto; Tomonori Takashi; Asuka Nishimura; Enrique R Angeles; Qian Qian; Hidemi Kitano; Makoto Matsuoka
Journal:  Science       Date:  2005-06-23       Impact factor: 47.728

2.  Genotypic difference in canopy diffusive conductance measured by a new remote-sensing method and its association with the difference in rice yield potential.

Authors:  Takeshi Horie; Shoji Matsuura; Toshiyuki Takai; Kouhei Kuwasaki; Akihiro Ohsumi; Tatsuhiko Shiraiwa
Journal:  Plant Cell Environ       Date:  2006-04       Impact factor: 7.228

3.  A model explaining genotypic and ontogenetic variation of leaf photosynthetic rate in rice (Oryza sativa) based on leaf nitrogen content and stomatal conductance.

Authors:  Akihiro Ohsumi; Akihiro Hamasaki; Hiroshi Nakagawa; Hiroe Yoshida; Tatsuhiko Shiraiwa; Takeshi Horie
Journal:  Ann Bot       Date:  2007-01-04       Impact factor: 4.357

4.  Diurnal and seasonal variations in stomatal conductance of rice at elevated atmospheric CO(2) under fully open-air conditions.

Authors:  Hiroyuki Shimono; Masumi Okada; Meguru Inoue; Hirofumi Nakamura; Kazuhiko Kobayashi; Toshihiro Hasegawa
Journal:  Plant Cell Environ       Date:  2009-11-04       Impact factor: 7.228

5.  Food for thought: lower-than-expected crop yield stimulation with rising CO2 concentrations.

Authors:  Stephen P Long; Elizabeth A Ainsworth; Andrew D B Leakey; Josef Nösberger; Donald R Ort
Journal:  Science       Date:  2006-06-30       Impact factor: 47.728

6.  A genetic resource for early-morning flowering trait of wild rice Oryza officinalis to mitigate high temperature-induced spikelet sterility at anthesis.

Authors:  Tsutomu Ishimaru; Hideyuki Hirabayashi; Masashi Ida; Toshiyuki Takai; Yumiko A San-Oh; Satoshi Yoshinaga; Ikuo Ando; Tsugufumi Ogawa; Motohiko Kondo
Journal:  Ann Bot       Date:  2010-06-21       Impact factor: 4.357

7.  Estimation of Mesophyll Conductance to CO(2) Flux by Three Different Methods.

Authors:  F Loreto; P C Harley; G Di Marco; T D Sharkey
Journal:  Plant Physiol       Date:  1992-04       Impact factor: 8.340

8.  Evaluation of genotypic variation in leaf photosynthetic rate and its associated factors by using rice diversity research set of germplasm.

Authors:  Tomomi Kanemura; Koki Homma; Akihiro Ohsumi; Tatsuhiko Shiraiwa; Takeshi Horie
Journal:  Photosynth Res       Date:  2007-07-21       Impact factor: 3.573

9.  Genotypic variation in rice yield enhancement by elevated CO2 relates to growth before heading, and not to maturity group.

Authors:  Hiroyuki Shimono; Masumi Okada; Yasuhiro Yamakawa; Hirofumi Nakamura; Kazuhiko Kobayashi; Toshihiro Hasegawa
Journal:  J Exp Bot       Date:  2008-12-02       Impact factor: 6.992

10.  A map of rice genome variation reveals the origin of cultivated rice.

Authors:  Xuehui Huang; Nori Kurata; Xinghua Wei; Zi-Xuan Wang; Ahong Wang; Qiang Zhao; Yan Zhao; Kunyan Liu; Hengyun Lu; Wenjun Li; Yunli Guo; Yiqi Lu; Congcong Zhou; Danlin Fan; Qijun Weng; Chuanrang Zhu; Tao Huang; Lei Zhang; Yongchun Wang; Lei Feng; Hiroyasu Furuumi; Takahiko Kubo; Toshie Miyabayashi; Xiaoping Yuan; Qun Xu; Guojun Dong; Qilin Zhan; Canyang Li; Asao Fujiyama; Atsushi Toyoda; Tingting Lu; Qi Feng; Qian Qian; Jiayang Li; Bin Han
Journal:  Nature       Date:  2012-10-03       Impact factor: 49.962

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  1 in total

Review 1.  Recent trends in nitrogen cycle and eco-efficient nitrogen management strategies in aerobic rice system.

Authors:  Muhammad Shahbaz Farooq; Xiukang Wang; Muhammad Uzair; Hira Fatima; Sajid Fiaz; Zubaira Maqbool; Obaid Ur Rehman; Muhammad Yousuf; Muhammad Ramzan Khan
Journal:  Front Plant Sci       Date:  2022-08-25       Impact factor: 6.627

  1 in total

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