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  Improved estimates of regional rice yield responses to elevated CO2 by considering sub-species discrepancies

Wang, S., van Groenigen, K. j., Müller, C., Wang, X., Li, G., Liu, Z., Song, L., Liu, Y., Ding, Y., Jiang, Y., Peñuelas, J. (2025): Improved estimates of regional rice yield responses to elevated CO2 by considering sub-species discrepancies. - Journal of Geophysical Research: Biogeosciences, 130, 3, e2024JG008438.
https://doi.org/10.1029/2024JG008438

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 Creators:
Wang, Songhan1, Author
van Groenigen, Kees jan1, Author
Müller, Christoph2, Author              
Wang, Xuhui1, Author
Li, Ganghua1, Author
Liu, Zhenghui1, Author
Song, Lian1, Author
Liu, Yunlong1, Author
Ding, Yanfeng1, Author
Jiang, Yu1, Author
Peñuelas, Josep1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Increased rice yields due to rising levels of atmospheric carbon dioxide (CO 2 ), known as the CO 2 fertilisation effect (CFE), play an important role in sustaining global food security. However, model projections on future rice yields are still uncertain, partly owing to the lack of knowledge on how CFE varies between rice cultivars and sub-species. Here we show, through synthesis of hundreds of observations from field experiments, a significant difference in CFE between two main rice sub-species; CFE was ~12.4% 100 ppm-1 for Indica rice, twice that of Japonica rice with 6.2% 100 ppm-1 . A pot study suggests that the higher CFE for Indica rice can be explained by higher photosynthetic acclimation of Japonica rice compared to Indica rice during the reproductive stage. After accounting for differences in sub-species, crop models project substantial regional discrepancies of CFE, which are not captured by original models. Together, these results suggest a strong influence of genotype on crop yield responses to increasing CO 2 , and highlight the need for crop models to consider sub-species and genotypes to improve projections of regional and global crop yield in the context of climate change.

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Language(s): eng - English
 Dates: 2024-12-232025-03-032025-03-202025-03-20
 Publication Status: Finally published
 Pages: 16
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: Organisational keyword: RD2 - Climate Resilience
PIKDOMAIN: RD2 - Climate Resilience
Working Group: Land Biosphere Dynamics
MDB-ID: No data to archive
Research topic keyword: Food & Agriculture
Regional keyword: Asia
Model / method: Quantitative Methods
DOI: 10.1029/2024JG008438
 Degree: -

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Title: Journal of Geophysical Research: Biogeosciences
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 130 (3) Sequence Number: e2024JG008438 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/jgr_biogeosciences
Publisher: Wiley