ArticleMethodsX2022
A method for assessing the frequency of hormetic trade-offs in plants.
Article in MethodsX, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed.
- Integrating Hormesis and Xenohormesis in Plants Through Fitness and Response Variables.Plants (Basel, Switzerland) · 2026Review
- Effects of Monoterpene-Based Biostimulants on Chickpea (Biology · 2025Article
- Assessment of the Hormetic Effect of Arsenic on Growth and Physiology of Two Cultivars of Maize (Plants (Basel, Switzerland) · 2022Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hormesis is a biphasic response to stress, involving low-dose stimulation and high-dose inhibition. Currently, attempts are being made to use the hormetic stimulation of plant parameters to increase resilience to severe stress. However, due to hormetic trade-offs, low-dose stress does not always cause synchronous improvement of different plant parameters. Some parameters do not change and even some even worsen compared to the control. Therefore, there is a need to evaluate the frequency of hormetic trade-offs. In this study, a method for estimating the probabilities of two types of hormetic trade-off in plants was developed. This method is intended solely to improve the scientific understanding of plant hormesis and a first step towards a more extensive evaluation of hormetic trade-offs in plants.•The proposed method estimates the probabilities of hormetic trade-offs 1 and 2 in plants using simple calculations.•This method can be applied to estimate the probability of hormetic trade-offs 1 and 2 both for a set of independent experiments and in a single experiment.•This method could be used in the future to identify doses and factors that stimulate the greatest number of traits without worsening others.
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Registered trials
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