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Five ways to stay green

Thomas, Howard, Howarth, Catherine J.·2000·Journal of Experimental Botany

Abstract

The relationship between carbon income and expenditure over the life of a leaf is described and related to the productivity benefits of altering the timing of senescence initiation. In genetic variants with delayed leaf senescence ('stay-greens') deconstruction of the photosynthetic apparatus during leaf senescence is partially or completely prevented. Although the staygreen phenotype is superficially similar in all species and genotypes, the genetic and physiological routes to the trait are diverse. In one type of stay-green, chlorophyll catabolism is disabled. Legumes and monocots with pigment breakdown lesions are discussed. Sorghum is presented as an example of another kind of stay-green in which perennial tendencies have been bred into a monocarpic annual crop species. Transgenic approaches are briefly discussed (enhanced endogenous cytokinins, reduced ethylene production or perception). An alternative route towards making a stay-green phenotype is through quantitative trait mapping and marker-assisted selection. Loci for greenness in pearl millet have been identified, some of which are associated with drought responses or flowering time. Finally the question of the limits on stay-green as a productivity-enhancing character is addressed.

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Metadata

Authors
Thomas, H., & Howarth, C. J.
Venue
Journal of Experimental Botany
Published
2000-02
Volume
51
Issue
suppl_1
Pages
329-337
ISSN
  • 0022-0957 (ISSN-L)
  • 1460-2431
OpenAlex
W2170328498
Cited by
780
References
0
FWCI
5.29
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Five ways to stay green. https://app.cochat.ai/papers/10.1093/jexbot/51.suppl_1.329
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Thomas, H., & Howarth, C. J. (2000). Five ways to stay green. Journal of Experimental Botany. https://doi.org/10.1093/jexbot/51.suppl_1.329

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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.