The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A rapid, non-invasive procedure for quantitative assessment of drought survival using chlorophyll fluorescence
Open accessAbstract
Background: Analysis of survival is commonly used as a means of comparing the performance of plant lines under drought. However, the assessment of plant water status during such studies typically involves detachment to estimate water shock, imprecise methods of estimation or invasive measurements such as osmotic adjustment that influence or annul further evaluation of a specimen's response to drought. Results: This article presents a procedure for rapid, inexpensive and non-invasive assessment of the survival of soil-grown plants during drought treatment. The changes in major photosynthetic parameters during increasing water deficit were monitored via chlorophyll fluorescence imaging and the selection of the maximum efficiency of photosystem II (F v/F m) parameter as the most straightforward and practical means of monitoring survival is described. The veracity of this technique is validated through application to a variety of Arabidopsis thaliana ecotypes and mutant lines with altered tolerance to drought or reduced photosynthetic efficiencies. Conclusion: The method presented here allows the acquisition of quantitative numerical estimates of Arabidopsis drought survival times that are amenable to statistical analysis. Furthermore, the required measurements can be obtained quickly and non-invasively using inexpensive equipment and with minimal expertise in chlorophyll fluorometry. This technique enables the rapid assessment and comparison of the relative viability of germplasm during drought, and may complement detailed physiological and water relations studies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Engineering drought tolerance in plants: discovering and tailoring genes to unlock the future
Umezawa, T., Fujita, M., Fujita, Y., Yamaguchi-Shinozaki, K., & Shinozaki, K. (2006) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2006.02.002 · Cited by 802
Flexas, J., Bota, J., Escalona, J. M., Sampol, B., & Medrano, H. (2002) · Australian Journal of Plant Physiology · doi:10.1071/pp01119 · Cited by 701
Cited by
Induced Systemic Resistance and Plant Responses to Fungal Biocontrol Agents
Shoresh, M., Harman, G. E., & Mastouri, F. (2010) · Annual Review of Phytopathology · doi:10.1146/annurev-phyto-073009-114450 · Cited by 1,359
Frequently asked questions about in vivo chlorophyll fluorescence: practical issues
Kalaji, H. M., Schansker, G., Ladle, R. J., Goltsev, V., Bosa, K., Allakhverdiev, S. I., Brestic, M., Bussotti, F., Calatayud, A., Dąbrowski, P., et al. (2014) · Photosynthesis Research · doi:10.1007/s11120-014-0024-6 · Cited by 832
Estavillo, G. M., Crisp, P. A., Pornsiriwong, W., Wirtz, M., Collinge, D., Carrie, C., Giraud, E., Whelan, J., David, P., Javot, H., et al. (2011) · The Plant Cell · doi:10.1105/tpc.111.091033 · Cited by 553
Self-citationNew phenotyping methods for screening wheat and barley for beneficial responses to water deficit
Munns, R., James, R. A., Sirault, X. R. R., Furbank, R. T., & Jones, H. G. (2010) · Journal of Experimental Botany · doi:10.1093/jxb/erq199 · Cited by 422
Jansen, M., Gilmer, F., Biskup, B., Nagel, K. A., Rascher, U., Fischbach, A., Briem, S., Dreissen, G., Tittmann, S., Braun, S., et al. (2009) · Functional Plant Biology · doi:10.1071/fp09095 · Cited by 313
Metadata
- Authors
- Woo, N. S., Badger, M. R., & Pogson, B. J.
- Venue
- Plant Methods
- Published
- 2008-11-11
- Volume
- 4
- Issue
- 1
- Pages
- 27-27
- ISSN
- 1746-4811 (ISSN-L)
- OpenAlex
- W2171912545
- Cited by
- 268
- References
- 3
- FWCI
- 11.57
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A rapid, non-invasive procedure for quantitative assessment of drought survival using chlorophyll fluorescence. https://app.cochat.ai/papers/10.1186/1746-4811-4-27
- The paper
- Woo, N. S., Badger, M. R., & Pogson, B. J. (2008). A rapid, non-invasive procedure for quantitative assessment of drought survival using chlorophyll fluorescence. Plant Methods. https://doi.org/10.1186/1746-4811-4-27
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.