วันที่: 31 กรกฎาคม 2026 เวลา: 13:00 น. – 14:00 น.

สถานที่: ห้องประชุมชั้น 1 ศูนย์วิทยาศาสตร์ข้าว มหาวิทยาลัยเกษตรศาสตร์ วิทยาเขตกำแพงแสน จ.นครปฐม

วิกฤตโลกเดือดกับงานวิจัยข้าว มาร่วมค้นหาทางรอดไปด้วยกัน!

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Are you interested in the future of food security and agriculture? Don’t miss this insightful lecture: “To Boost Rice Productivity Under a Changing Climate”

Professor Hiro Shimono (Iwate University, Japan)

Date: 31 July 2026

Time: 1:00 PM – 2:00 PM

Location: 1st Floor Meeting Room, Rice Science Center, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom

#rice #hub #hubofrice #RSC #KU #IwateUniversity #KasetsartUniverskty #th #rice #research #productions #climatechange

Below are related articles of  Professor Hiro Shimono, Iwate University, Japan 

1.         Shimono, H.* et. (2007) Modeling the effects of water temperature on rice growth and yield under a cool climate: I. Model development. Agron. J. 99 : 1327-1337.
2.         Shimono, H.*, et (2007) Modeling the effects of water temperature on rice growth and yield under a cool climate: II. Model application. Agron. J. 99 : 1338-1344.
3.         Shimono, H.*, et (2013) Lower responsiveness of canopy evapotranspiration rate than of leaf stomatal conductance to open-air CO2 elevation in rice. Global Change Biol.  19 : 2444-2453.
4.         Shimono, H.* and Bunce, J. A. (2009) Acclimation of nitrogen uptake capacity of rice to elevated atmospheric CO2 concentration. Ann. Bot. London 103 : 87-94.
5.         Shimono, H.*, et. (2009) Genotypic variation in rice yield enhancement by elevated CO2 relates to growth before heading, and not to maturity group. J. Exp. Bot. 60 : 523-532.
6.         Kumagai, E.†, … Shimono, H.† (2015) Phenotypic plasticity conditions the response of soybean seed yield to elevated atmospheric CO2 concentration. Plant Physiol. 169: 2021-2029.
7.         Kikuchi, S.,… and Shimono, H.* (2017) Genome-wide association mapping for phenotypic plasticity in rice. Plant Cell Environ. 40 : 1565-1575.
8.         Masuya, Y. and Shimono, H.* (2017) Mining a yield-trial database to identify high-yielding cultivars by simulation modeling: a case study for rice. J. Agric. Meteorol. 73 : 51-58.
9.         Shimono, H., Farquhar, G., et (2019) Prescreening in large populations as a tool for identifying elevated CO2-responsive genotypes in plants. Functional Plant Biology 46: 1-14.
10.      Shimono, H.*, Abe, A., Kim, C.H., Iwata, H. 2023. Upcycling rice yield trial data using a weather-driven crop growth model. Communications Biology, 6, Article number: 764.
https://www.nature.com/articles/s42003-023-05145-x#
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