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Cited by 392

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Understanding the mechanisms and kinetics of seed aging

Walters, Christina·1998·Seed Science Research

Abstract

When seeds deteriorate, they lose vigour and become more sensitive to stresses upon germination. Eventually seeds lose the ability to germinate. The factors which determine the rate of this ‘aging’ are the temperature and moisture content at which seeds are stored and an ill-defined parameter, seed quality. While it has been known for many years that manipulation of these factors influences the longevity of seeds, the precise interactions among them are so poorly understood as to preclude the prediction of longevity for a particular seed lot. Concepts from studies of materials and food stability can be applied to seed aging research, and this may help us take a more integrative approach to understanding the kinetics of seed deterioration. These concepts describe the physical environment of the seed matrix in response to changing water contents and temperature. Water activity models describe the state of water in the seed, while the glass models describe the state of the aqueous solution. Both models presume that changes of state affect the nature and kinetics of chemical reactions. Thus, the physical and chemical environment within the seed are inextricably linked.

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Metadata

Authors
Walters, C.
Venue
Seed Science Research
Published
1998-06
Volume
8
Issue
2
Pages
223-244
ISSN
  • 0960-2585 (ISSN-L)
  • 1475-2735
OpenAlex
W2156258435
Cited by
392
References
3
FWCI
5.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Understanding the mechanisms and kinetics of seed aging. https://app.cochat.ai/papers/10.1017/s096025850000413x
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Walters, C. (1998). Understanding the mechanisms and kinetics of seed aging. Seed Science Research. https://doi.org/10.1017/s096025850000413x

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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.