Cooperation, Public Relations
JIRCAS Report
JIRCAS Hosts First In-Person Open House in Six Years—Experience Global Agriculture, Forestry, and Fisheries!
As part of Science and Technology Week, JIRCAS held its first in-person open house event in six years on April 19, 2025 (Saturday).
JIRCAS Participates in the Pre-Event for Science and Technology Week: "TSUKUBA SCIENCE & TECHNOLOGY PRE EVENT 2025"
On April 12, 2025 (Saturday), JIRCAS participated in the “TSUKUBA SCIENCE & TECHNOLOGY PRE EVENT 2025" held at Tsukuba Center Square (hosted by Tsukuba Machinaka Design). The event was blessed with good weather, and the venue was filled with the joyful voices of children as many research institutes set up interactive booths.
Press Release
Update
- Outline of the SATREPS project “Development of genetic engineering technology of crops with stress tolerance against degradation of global environment”(JIRCAS Working Report )
- Drought-tolerant soybean development: evaluation of GM lines under greenhouse and field conditions(JIRCAS Working Report )
- Development of technologies and crops for stable food production under adverse environments and changing climate conditions(JIRCAS Working Report )
- Development of biotechnologies and biotech crops for stable food production under adverse environments and changing climate conditions(JIRCAS Working Report )
- Outline of the Project Entitled “Development of Drought-Tolerant Crops for Developing Countries”(JIRCAS Working Report )
- Agrobacterium-mediated transformation system using immature embryos can effectively generate transgenic rice plants with a single copy of the transgene(JIRCAS Working Report )
- The Farm-type TMR Center as a Regional Farming System in Hokkaido(Japan Agricultural Research Quarterly )
- The Effects of Chronic Social Defeat Stress on Solid Gastric Emptying and Defecation in C57BL/6J Mice(Japan Agricultural Research Quarterly )
- Soybean Rust and Resistant Cultivar Effects on Global Soybean Supply and Demand(Japan Agricultural Research Quarterly )
- Recurrent Neural Network Predictions for Water Levels at Drainage Pumping Stations in an Agricultural Lowland(Japan Agricultural Research Quarterly )