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. 2023 Feb 14:13:1066088.
doi: 10.3389/fpls.2022.1066088. eCollection 2022.

Can the use of magnetized water affect the seedling development and the metabolite profiles of two different species: Lentil and durum wheat?

Sara Sestili  1 , Cristiano Platani  1 , Daniela Palma  1 , Maria Assunta Dattoli  1 , Romina Beleggia  2
Affiliations

Can the use of magnetized water affect the seedling development and the metabolite profiles of two different species: Lentil and durum wheat?

Sara Sestili et al. Front Plant Sci. .

Abstract

Seedlings of durum wheat and lentil were utilized to investigate the efficiency of magnetic water on growth and metabolic epicotyl profile. Tap water was passed through a magnetic device with a flow rate of max. 12900 - 13200 Gauss (G). Seeds and plantlets were grown on sand-free paper soaked by magnetized water, with unmagnetized tap water used in a control group. The growth parameters were collected at three time points (48, 96, and 144 hours after treatment), the same times at which metabolomic analysis was conducted on seeds, roots, and epicotyls. Although the effects varied with the species, tissues, and time point considered, compared with tap water (TW), the use of magnetized water treatment (MWT) led to higher root elongation in both genotypes. On the contrary, epicotyl length was not affected by treatment both in durum wheat and lentil. The results indicate that the use of magnetized water in agriculture can be considered a sustainable technology to promote plant development and quality with reduced and more efficient water usage, leading to cost-saving and environmental protection.

Keywords: magnetic device; plant growth; plant metabolites; sustainability; water use efficiency.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Venn diagram of the metabolites detected in all tissues analyzed in durum wheat (A) and in lentil (B).
Figure 2
Figure 2
PCA analysis of combined dataset of the two species. (A) the score plot of the first two PCs; (B) correlation of metabolites to PC1 and PC2.
Figure 3
Figure 3
Two-way hierarchical clustering (Ward’s method) of metabolites data for durum wheat and lentil.
See this image and copyright information in PMC

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