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Gen Sakurai

Researcher at National Agriculture and Food Research Organization

Publications -  42
Citations -  1916

Gen Sakurai is an academic researcher from National Agriculture and Food Research Organization. The author has contributed to research in topics: Climate change & Agriculture. The author has an hindex of 16, co-authored 40 publications receiving 1373 citations.

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Impacts of El Niño Southern Oscillation on the global yields of major crops

TL;DR: A global map of the impacts of ENSO on the yields of major crops and its impacts on their global-mean yield anomalies is presented to highlight the importance of the El Niño/Southern Oscillation to global crop production.
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Global Gridded Crop Model evaluation: benchmarking, skills, deficiencies and implications

TL;DR: In this paper, the authors evaluate the simulation results of 14 global gridded crop modeling groups that have contributed historic crop yield simulations for maize, wheat, rice and soybean to the Global Gridded Crop Model Intercomparison (GGCMI) of the AgMIP.
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State-of-the-art global models underestimate impacts from climate extremes

Jacob Schewe, +58 more
TL;DR: A majority of models underestimate the extremeness of impacts in important sectors such as agriculture, terrestrial ecosystems, and heat-related human mortality, while impacts on water resources and hydropower are overestimated in some river basins; and the spread across models is often large.
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Orchestration of three transporters and distinct vascular structures in node for intervascular transfer of silicon in rice

TL;DR: It is found that hyperaccumulation of Si in the husk (more than 10%) is achieved by cooperation of three different Si transporters localized at the different cell layers in the node, and mathematical modeling showed that an apoplastic barrier and development of enlarged vascular bundles are also required.
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Prediction of seasonal climate-induced variations in global food production

TL;DR: In this paper, the authors present a global assessment of the reliability of crop failure hindcasts for major crops at two lead times derived by linking ensemble seasonal climatic forecasts with statistical crop models.