The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Engineering Cold Stress Tolerance in Crop Plants
Open accessAbstract
Plants respond with changes in their pattern of gene expression and protein products when exposed to low temperatures. Thus ability to adapt has an impact on the distribution and survival of the plant, and on crop yields. Many species of tropical or subtropical origin are injured or killed by non-freezing low temperatures, and exhibit various symptoms of chilling injury such as chlorosis, necrosis, or growth retardation. In contrast, chilling tolerant species are able to grow at such cold temperatures. Conventional breeding methods have met with limited success in improving the cold tolerance of important crop plants involving inter-specific or inter-generic hybridization. Recent studies involving full genome profiling/ sequencing, mutational and transgenic plant analyses, have provided a deep insight of the complex transcriptional mechanism that operates under cold stress. The alterations in expression of genes in response to cold temperatures are followed by increases in the levels of hundreds of metabolites, some of which are known to have protective effects against the damaging effects of cold stress. Various low temperature inducible genes have been isolated from plants. Most appear to be involved in tolerance to cold stress and the expression of some of them is regulated by C-repeat binding factor/ dehydration-responsive element binding (CBF/DREB1) transcription factors. Numerous physiological and molecular changes occur during cold acclimation which reveals that the cold resistance is more complex than perceived and involves more than one pathway. The findings summarized in this review have shown potential practical applications for breeding cold tolerance in crop and horticultural plants suitable to temperate geographical locations.
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
Liu, Q., Kasuga, M., Sakuma, Y., Abe, H., Miura, S., Yamaguchi-Shinozaki, K., & Shinozaki, K. (1998) · The Plant Cell · doi:10.1105/tpc.10.8.1391 · Cited by 3,044
Stockinger, E. J., Gilmour, S. J., & Thomashow, M. F. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.3.1035 · Cited by 1,807
Trehalose accumulation in rice plants confers high tolerance levels to different abiotic stresses
Garg, A. K., Kim, J.-K., Owens, T. G., Ranwala, A. P., Choi, Y. D., Kochian, L. V., & Wu, R. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.252637799 · Cited by 1,346
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
Cited by
Extreme Temperature Responses, Oxidative Stress and Antioxidant Defense in Plants
Hasanuzzaman, M., Nahar, K., & Fujit, M. (2013) · Abiotic Stress - Plant Responses and Applications in Agriculture · doi:10.5772/54833 · Cited by 253
Gene pyramiding for sustainable crop improvement against biotic and abiotic stresses
Dormatey, R., Sun, C., Ali, K., Coulter, J. A., Bi, Z., & Bai, J. (2020) · Agronomy · doi:10.3390/agronomy10091255 · Cited by 130
Optimization of TaDREB3 gene expression in transgenic barley using cold‐inducible promoters
Kovalchuk, N., Jia, W., Eini, O., Morran, S., Pyvovarenko, T., Fletcher, S., Bazanova, N., Harris, J., Beck‐Oldach, K., Shavrukov, Y., et al. (2013) · Plant Biotechnology Journal · doi:10.1111/pbi.12056 · Cited by 81
Marginal Lands to Grow Novel Bio-Based Crops: A Plant Breeding Perspective
Pancaldi, F., & Trindade, L. M. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2020.00227 · Cited by 78
Metadata
- Authors
- S. Sanghera, G., H. Wani, S., Hussain, W., & B. Singh, N.
- Venue
- Current Genomics
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2011-03-01
- Volume
- 12
- Issue
- 1
- Pages
- 30-43
- ISSN
- 1389-2029 (ISSN-L)
- OpenAlex
- W2043803614
- Cited by
- 640
- References
- 4
- FWCI
- 26.88
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Engineering Cold Stress Tolerance in Crop Plants. https://app.cochat.ai/papers/10.2174/138920211794520178
- The paper
- S. Sanghera, G., H. Wani, S., Hussain, W., & B. Singh, N. (2011). Engineering Cold Stress Tolerance in Crop Plants. Current Genomics. https://doi.org/10.2174/138920211794520178
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.