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Extreme Temperature Responses, Oxidative Stress and Antioxidant Defense in Plants
Open accessAbstract
Temperature stress is becoming the major concern for plant scientists worldwide due to the changing climate. The difficulty of climate change is further added considering its precisely projecting potential agricultural impacts [1, 2]. Temperature stress has devastating effects on plant growth and metabolism, as these processes have optimum temperature limits in every plant species. Global climate change is making high temperature (HT) a critical factor for plant growth and productivity; HT is now considered to be one of the major abiotic stresses for restricting crop production [3]. The US Environmental Protection Agency (EPA) indicates that global temperatures have risen during the last 30 years [4], and it was mentioned that the decade from 2000 to 2009 was the warmest ever recorded.
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Metadata
- Authors
- Hasanuzzaman, M., Nahar, K., & Fujit, M.
- Venue
- Abiotic Stress - Plant Responses and Applications in Agriculture
- Publisher
- InTech
- Published
- 2013-03-13
- OpenAlex
- W1496230293
- Cited by
- 253
- References
- 123
- FWCI
- 24.83
- Type
- book chapter
- Language
- en
- Open access
- hybrid
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 ›
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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.