Real-time emulation of future global warming reveals realistic impacts on the phenological response and quality deterioration in rice.


Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
21 May 2024
Historique:
medline: 13 5 2024
pubmed: 13 5 2024
entrez: 13 5 2024
Statut: ppublish

Résumé

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

Identifiants

pubmed: 38739807
doi: 10.1073/pnas.2316497121
doi:

Substances chimiques

Carbon Dioxide 142M471B3J

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2316497121

Subventions

Organisme : MAFF | Agriculture, Forestry and Fisheries Research Council (AFFRC)
ID : BAC1004

Déclaration de conflit d'intérêts

Competing interests statement:The authors declare no competing interest.

Auteurs

Hironori Itoh (H)

Breeding Big Data Management and Utilization Group, Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8518, Japan.

Hiroto Yamashita (H)

Breeding Big Data Management and Utilization Group, Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8518, Japan.

Kaede C Wada (KC)

Breeding Big Data Management and Utilization Group, Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8518, Japan.
Incubation Laboratory, Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-0856, Japan.

Jun-Ichi Yonemaru (JI)

Incubation Laboratory, Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-0856, Japan.

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Classifications MeSH