ArticlePlants (Basel, Switzerland)2020
Germination Data Analysis by Time-to-Event Approaches.
Article in Plants (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Article
- Endozoochory by Black Rhinoceroses Enhances Germination of a Key Arid Savanna Tree Species.Ecology and evolution · 2025Article
- Controlled temperature contrasts of three native and one highly invasive annual plant species in California.PeerJ · 2025Article
- Article
- Exploring intraspecific variation in salinity tolerance at germination and seedling development stages inFrontiers in plant science · 2025Article
- Invasive Plants' Root Extracts Display Stronger Allelopathic Activity on the Germination and Seedling Growth of a New Zealand Native Species than Extracts of Another Native Plant or Conspecifics.Journal of chemical ecology · 2024Article
- San Diego Thornmint (Plants (Basel, Switzerland) · 2023Article
- A successive time-to-event model of phyllochron dynamics for hypothesis testing: application to the analysis of genetic and environmental effects in maize.Plant methods · 2023Article
- Effect of Microalgal Extracts fromPlants (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Germination data are analyzed by several methods, which can be mainly classified as germination indexes and traditional regression techniques to fit non-linear parametric functions to the temporal sequence of cumulative germination. However, due to the nature of germination data, often different from other biological data, the abovementioned methods may present some limits, especially when ungerminated seeds are present at the end of an experiment. A class of methods that could allow addressing these issues is represented by the so-called "time-to-event analysis", better known in other scientific fields as "survival analysis" or "reliability analysis". There is relatively little literature about the application of these methods to germination data, and some reviews dealt only with parts of the possible approaches such as either non-parametric and semi-parametric or parametric ones. The present study aims to give a contribution to the knowledge about the reliability of these methods by assessing all the main approaches to the same germination data provided by sugar beet (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.