Variability in the responses of rice ecotypes to elevated CO₂ based on data from FACE studies in China and Japan: Implications for climate change adaptation

Abstract

Elevated CO₂ increases rice yields, and the response level varies across locations and genotypes. Previous analyses of genotypic variations from diverse Free-Air CO₂ Enrichment (FACE) studies lacked specificity, limiting their applicability in simulating the responses of crop growth to elevated CO₂. Using meta-analysis approach and the ORYZA (v3) model with historical and projected climatic data, this study evaluated the differences in the responses of rice ecotypes to elevated CO₂ and identified adaptive measures. Meta-analytical findings indicated that Chinese inbred indica (indica_i) and hybrid indica (indica_h) rice exhibited comparable yield response rates (28.4% and 31.1%, respectively) to elevated CO₂, surpassing those of Chinese japonica rice and Japanese indica_i and japonica rice. Achieving higher adaptation to elevated CO₂, exemplified by Chinese indica_h rice, necessitates the consideration of balanced yield components, with individual contributions to yield responses ranging from 9.8% to 36.2%. This study highlighted the susceptibility of japonica rice to adverse effects of maximum temperatures on yield component responses to elevated CO₂ compared to indica_i or indica_h rice. Strategic adjustments in sowing dates can enhance rice production under climate change, with high-response genotypes benefiting more from optimal sowing periods. Furthermore, for genotypes with less responsiveness to elevated CO₂, augmenting nitrogen application in conjunction with sowing date adjustments was beneficial for yield optimization. This research not only advances our understanding of the diverse adaptation strategies of rice genotypes under varying climatic conditions but also enhances the precision of crop growth simulations by accounting for the varied responses to CO₂ enrichment. These insights are pivotal for developing targeted breeding and management practices aimed at enhancing climate resilience in rice production.

Keywords

Climate adaptation / Elevated CO₂ / FACE / ORYZA model / Rice ecotypes / Yield and yield components

Abbreviations

Not applicable.

Availability of data and materials

Data will be shared upon request by the readers.

Authors’ contributions

W.W.: conceptualization, formal analysis, software, and writing of original draft; X.Y. and Y.H.: data curation; W.Z. and H.Z.: writing, reviewing, and editing; L.L.: conceptualization, funding acquisition, supervision, writing, reviewing, and editing.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This work was supported by the National Key Research and development Program of China (2022YFD2300304), the National Natural Science Foundation of China (32201888 and 32272197), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

Appendix A. Supplementary data

Supplementary data to this article can be found online at https://doi.org/10.1016/j.crope.2024.06.002.

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