Methods far seed germination data analysis. An example: Manfreda brachystachya

  • Lourdes González-Zertuche Centro de Ecología, Universidad Nacional Autónoma de México
  • Alma Orozco-Segovia Centro de Ecología, Universidad Nacional Autónoma de México
keywords: curve fitting, data analysys, germination, Ondeces of germination, of germinationManfreda brachystachya, temperature

Abstract

Methods for germination analysis were reviewed in this work. These methods were divided in graphical and analytical (Indices and curve fitting to logistic and normal distribution functions). Each one was illustrated with the Manfreda brachystachya germination data in a temperature gradient. Germination parameters were underlined: capacity and rate germination, mean time, and variance in mean time germination. These parameters must be measured accurately. The advantages and disadvantages of the different methods are discussed. Indices which try to relate germination capacity with time are not recommended to obtain relative values of germination rate, because they confound the effects that can have the different parameters. The use of logistic and normal functions are recommended, because they are models that analyze germination behavior in time and provide the values of the main germination parameters.

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Methods far seed germination data analysis. An example: <em>Manfreda brachystachya</em>
Published
1996-08-15
How to Cite
González-Zertuche, L., & Orozco-Segovia, A. (1996). Methods far seed germination data analysis. An example: Manfreda brachystachya. Botanical Sciences, (58), 15 - 30. https://doi.org/10.17129/botsci.1484
Section
ECOLOGY / ECOLOGÍA