Non-parametric survival analysis in seed germination of forest species
Open Access
- 1 January 2024
- journal article
- research article
- Published by FapUNIFESP (SciELO) in Journal of Seed Science
- Vol. 46, e202446036
Abstract
In statistical analyses of seed germination experiments, it is essential to ensure that the assumptions of the chosen methods are not violated to obtain valid and reliable results. When these assumptions are violated, alternative methods should be considered, one of which is survival analysis. This study aimed to evaluate the application of this methodology, using a nonparametric approach, to assess the germination of Cecropia pachystachya and Jacaranda caroba. In the first experiment, alternating temperatures of 30/20 °C and 25/15 °C were applied under two light conditions (light and darkness). In the second, germination was assessed at constant temperatures ranging from 15 to 35 °C. Germination reached or exceeded 50% in both species under alternating temperatures and light conditions. In continuous darkness, J. caroba exhibited a higher germination speed and percentages, whereas C. pachystachya was unaffected by light conditions. The recommended alternating temperature for both species was 30/20 °C. The optimal constant temperatures were 25 °C for J. caroba and 30 °C for C. pachystachya. It is concluded that the nonparametric survival analysis technique effectively discriminates seed germination of the studied species.Keywords
This publication has 14 references indexed in Scilit:
- Germination niche of a pioneer woody species (Manihot grahamii hook.): a strategy of seed heat stimulation to cope with disturbance in dry subtropical forestsSeed Science Research, 2023
- Why analyze germination experiments using Generalized Linear Models?Journal of Seed Science, 2018
- How to analyze germination of species with empty seeds using contemporary statistical methods?Acta Botanica Brasilica, 2018
- Rethinking the Analysis of Non‐Normal Data in Plant and Soil ScienceAgronomy Journal, 2015
- Mineral nutrition of campos rupestres plant species on contrasting nutrient‐impoverished soil typesNew Phytologist, 2014
- How to analyse seed germination data using statistical time-to-event analysis: non-parametric and semi-parametric methodsSeed Science Research, 2012
- A critique of current trends in the statistical analysis of seed germination and viability dataSeed Science Research, 2012
- The arcsine is asinine: the analysis of proportions in ecologyEcology, 2011
- A new method for the analysis of germination and emergence data of weed speciesWeed Research, 2010
- Nonparametric Estimation from Incomplete ObservationsJournal of the American Statistical Association, 1958