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Cited by 472

The DOI matches its Crossref record; 143 of the 143 references it cites were found in a registry or an index.

The link between flowering time and stress tolerance

Kazan, Kemal, Lyons, Rebecca·2016·Journal of Experimental Botany

Abstract

Evolutionary success in plants is largely dependent on the successful transition from vegetative to reproductive growth. In the lifetime of a plant, flowering is not only an essential part of the reproductive process but also a critical developmental stage that can be vulnerable to environmental stresses. Exposure to stress during this period can cause substantial yield losses in seed-producing plants. However, it is becoming increasingly evident that altering flowering time is an evolutionary strategy adopted by plants to maximize the chances of reproduction under diverse stress conditions, ranging from pathogen infection to heat, salinity, and drought. Here, recent studies that have revealed new insights into how biotic and abiotic stress signals can be integrated into floral pathways are reviewed. A better understanding of how complex environmental variables affect plant phenology is important for future genetic manipulation of crops to increase productivity under the changing climate.

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Crossref · 10.1093/jxb/erv441

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Metadata

Authors
Kazan, K., & Lyons, R.
Venue
Journal of Experimental Botany
Published
2015-10-01
Volume
67
Issue
1
Pages
47-60
ISSN
  • 0022-0957 (ISSN-L)
  • 1460-2431
OpenAlex
W2258416396
Cited by
472
References
143
FWCI
23.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The link between flowering time and stress tolerance. https://app.cochat.ai/papers/10.1093/jxb/erv441
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Kazan, K., & Lyons, R. (2016). The link between flowering time and stress tolerance. Journal of Experimental Botany. https://doi.org/10.1093/jxb/erv441

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.