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Can CO2 assimilation in maize leaves be predicted accurately from chlorophyll fluorescence analysis?
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Citations
Cited by
Chlorophyll fluorescence—a practical guide
Maxwell, K., & Johnson, G. N. (2000) · Journal of Experimental Botany · doi:10.1093/jexbot/51.345.659 · Cited by 9,347
Climate Impacts on Agriculture: Implications for Crop Production
Hatfield, J. L., Boote, K. J., Kimball, B. A., Ziska, L. H., Izaurralde, R. C., Ort, D., Thomson, A. M., & Wolfe, D. (2011) · Agronomy Journal · doi:10.2134/agronj2010.0303 · Cited by 1,645
Baker, N. R. (2004) · Journal of Experimental Botany · doi:10.1093/jxb/erh196 · Cited by 1,638
Self-citationA soil bacterium regulates plant acquisition of iron via deficiency‐inducible mechanisms
Zhang, H., Sun, Y., Xie, X., Kim, M., Dowd, S. E., & Paré, P. W. (2009) · The Plant Journal · doi:10.1111/j.1365-313x.2009.03803.x · Cited by 369
YIN, X., STRUIK, P. C., ROMERO, P., HARBINSON, J., EVERS, J. B., VAN DER PUTTEN, P. E. L., & VOS, J. (2009) · Plant, Cell & Environment · doi:10.1111/j.1365-3040.2009.01934.x · Cited by 264
Metadata
- Authors
- Edwards, G. E., & Baker, N. R.
- Venue
- Photosynthesis Research
- Published
- 1993-08
- Volume
- 37
- Issue
- 2
- Pages
- 89-102
- ISSN
- 0166-8595 (ISSN-L)
- 1573-5079
- OpenAlex
- W2055895117
- Cited by
- 384
- References
- 0
- FWCI
- 2.87
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Can CO2 assimilation in maize leaves be predicted accurately from chlorophyll fluorescence analysis? https://app.cochat.ai/papers/10.1007/bf02187468
- The paper
- Edwards, G. E., & Baker, N. R. (1993). Can CO2 assimilation in maize leaves be predicted accurately from chlorophyll fluorescence analysis? Photosynthesis Research. https://doi.org/10.1007/bf02187468
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
