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How to analyse seed germination data using statistical time-to-event analysis: non-parametric and semi-parametric methods

  • James N. McNair (a1), Anusha Sunkara (a2) and Daniel Frobish (a2)
  • DOI: http://dx.doi.org/10.1017/S0960258511000547
  • Published online: 07 February 2012
Abstract
Abstract

Seed germination experiments are conducted in a wide variety of biological disciplines. Numerous methods of analysing the resulting data have been proposed, most of which fall into three classes: intuition-based germination indexes, classical non-linear regression analysis and time-to-event analysis (also known as survival analysis, failure-time analysis and reliability analysis). This paper briefly reviews all three of these classes, and argues that time-to-event analysis has important advantages over the other methods but has been underutilized to date. It also reviews in detail the types of time-to-event analysis that are most useful in analysing seed germination data with standard statistical software. These include non-parametric methods (life-table and Kaplan–Meier estimators, and various methods for comparing two or more groups of seeds) and semi-parametric methods (Cox proportional hazards model, which permits inclusion of categorical and quantitative covariates, and fixed and random effects). Each method is illustrated by applying it to a set of real germination data. Sample code for conducting these analyses with two standard statistical programs is also provided in the supplementary material available online (at http://journals.cambridge.org/). The methods of time-to-event analysis reviewed here can be applied to many other types of biological data, such as seedling emergence times, flowering times, development times for eggs or embryos, and organism lifetimes.

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*Correspondence Fax: 00-1-616-331-3864 Email: mcnairja@gvsu.edu
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P.K. Andersen , Ø. Borgan , R.D. Gill and N. Keiding (1993) Statistical models based on counting processes. New York, Springer-Verlag.

J.M. Baskin and C.C. Baskin (1983) Germination ecology of Veronica arvensis. Journal of Ecology 71, 5768.

M.R. Bram and J.N. McNair (2004) Seed germinability and its seasonal onset in three populations of Japanese knotweed. Weed Science 52, 759767.

R.F. Brown (1987) Germination of Aristida armata under constant and alternating temperatures and its analysis with the cumulative Weibull distribution as a model. Australian Journal of Botany 35, 581591.

J.W.P. Carneiro (1994) Determinação do número de sementes para avaliar o desempenho germinativo de sementes de capim braquiária (Brachiaria brizantha cv. Marandú). Revista Brasileira de Sementes 16, 156158.

G.A. Fox (1990) Perennation and the persistence of annual life histories. American Naturalist 135, 829840.

E.L. Kaplan and P. Meier (1958) Nonparametric estimation from incomplete observations. Journal of the American Statistical Association 53, 457481.

E.T. Lee and J.W. Wang (2003) Statistical methods for survival analysis (3rd edition). New York, John Wiley and Sons.

J.D. Maguire (1962) Speed of germination – aid in selection and evaluation for seedling emergence and vigor. Crop Science 2, 176177.

A. Onofri , F. Gresta and F. Tei (2010) A new method for the analysis of germination and emergence data of weed species. Weed Research 50, 187198.

S.J. Scott and R.A. Jones (1982) Low temperature seed germination of Lycopersicon species evaluated by survival analysis. Euphytica 31, 869883.

S.J. Scott , R.A. Jones and W.A. Williams (1984) Review of data analysis for seed germination. Crop Science 24, 11921199.

T.M. Therneau and P.M. Grambsch (2000) Modeling survival data: extending the Cox model. New York, Springer-Verlag.

J. Timson (1965) A new method of recording germination data. Nature 207, 216217.

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Seed Science Research
  • ISSN: 0960-2585
  • EISSN: 1475-2735
  • URL: /core/journals/seed-science-research
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