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Representing Cumulative Germination.
Abstract
The Weibull, Morgan–Mercer–Flodin, Richards, Mitscherlich, Gompertz and logistic functions were each fitted to a wide range of cumulative germinations of non-dormant seed. The Weibull proved the most suitable for describing cumulative germination as it provided a consistently close fit to the data and was insensitive to choice of starting values, thus making it fairly easy to fit. The others provided either an inferior fit or else a similar fit but with a greater sensitivity to starting values. The four parameters of the Weibull function reflect maximum germination, germination rate, the lag in the onset of germination and the shape of the cumulative distribution. A comparison between non-linear and linear fits of the Mitscherlich, Gompertz and logistic functions showed the clear superiority of non-linear methods.
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Cited by
Toward a synthetic understanding of the role of phenology in ecology and evolution
Forrest, J., & Miller-Rushing, A. J. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2010.0145 · Cited by 744
Forcella, F., Benech Arnold, R. L., Sanchez, R., & Ghersa, C. M. (2000) · Field Crops Research · doi:10.1016/s0378-4290(00)00088-5 · Cited by 553
Bewley, J. D., Bradford, K. J., Hilhorst, H. W. M., & Nonogaki, H. (2013) · Seeds · doi:10.1007/978-1-4614-4693-4_4 · Cited by 119
Seefeldt, S. S., Kidwell, K. K., & Waller, J. E. (2002) · Field Crops Research · doi:10.1016/s0378-4290(02)00007-2 · Cited by 35
Metadata
- Authors
- BROWN, R. F., & MAYER, D. G.
- Venue
- Annals of Botany
- Publisher
- Oxford University Press (OUP)
- Published
- 1988-02
- Volume
- 61
- Issue
- 2
- Pages
- 127-138
- ISSN
- 0305-7364 (ISSN-L)
- 1095-8290
- OpenAlex
- W1908459026
- Cited by
- 221
- References
- 0
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- closed
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- BROWN, R. F., & MAYER, D. G. (1988). Representing Cumulative Germination. Annals of Botany. https://doi.org/10.1093/oxfordjournals.aob.a087535
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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