ArticleProceedings of the National Academy of Sciences of the United States of America2024
Real-time emulation of future global warming reveals realistic impacts on the phenological response and quality deterioration in rice.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Climate Change Threatens Micronutrient Density of European Winter Wheat.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Proof-of-concept of harvest peak control using a strawberry cultivation emulator with artificial weather chambers.Scientific reports · 2026Article
- Machine-learning-assisted comparative analysis of rice growth and yield formation in field and plant factory systems.Frontiers in plant science · 2026Article
- Comparative Analysis of Rice Yield and Economic Performance Across Different Planting Patterns in Double-Cropping Rice Systems Under Global Warming.Plants (Basel, Switzerland) · 2025Article
- Article
- Field-crop transcriptome models are enhanced by measurements in systematically controlled environments.Genome biology · 2025Article
- Modelling and Using Spatial Effects in Nationwide Historical Data Improve Genomic Prediction of Rice Heading Date in Japan.Rice (New York, N.Y.) · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
Decreased production of crops due to climate change has been predicted scientifically. While climate-resilient crops are necessary to ensure food security and support sustainable agriculture, predicting crop growth under future global warming is challenging. Therefore, we aimed to assess the impact of realistic global warming conditions on rice cultivation. We developed a crop evaluation platform, the agro-environment (AE) emulator, which generates diverse environments by implementing the complexity of natural environmental fluctuations in customized, fully artificial lighting growth chambers. We confirmed that the environmental responsiveness of rice obtained in the fluctuation of artificial environments is similar to those exhibited in natural environments by validating our AE emulator using publicly available meteorological data from multiple years at the same location and multiple locations in the same year. Based on the representative concentration pathway, real-time emulation of severe global warming unveiled dramatic advances in the rice life cycle, accompanied by a 35% decrease in grain yield and an 85% increase in quality deterioration, which is higher than the recently reported projections. The transcriptome dynamism showed that increasing temperature and CO
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