Effect of green copper nanoparticles synthesized with Aloe vera aqueous extract on germination parameters of pinto beans under salinity stress

Document Type : Research Paper

Authors

1 PhD. Student of Plant Physiology, Department of Biology, Kerman Branch, Islamic Azad University, Kerman, Iran

2 Assistant Professor Department of Biology, Kerman Branch, Islamic Azad University, Kerman, Iran

3 Prof., Department of Chemistry, Kerman Branch, Islamic Azad University, Kerman, Iran

4 Assistant Prof., Department of Biology, Kerman Branch, Islamic Azad University, Kerman, Iran

10.22034/jpr.2024.2249

Abstract

In the world, salinity is one of the most important abiotic factors that limit seed germination and the establishment and initial growth of seedlings, which causes a significant decrease in the productivity of agricultural products. In recent years, engineered nanoparticles have been proposed as a promising alternative in combating abiotic stress factors such as salinity. The present study investigated the effects of copper green nanoparticles (using Aloe vera leaf extract) in reducing salinity stress on the germination indicators of pinto beans. The treatments were factorial and in the form of a completely random design with two factors of green copper nanoparticles at four levels of 0, 40, 80 and 120 mg/L and salinity (NaCl) at four levels of 0, 40, 80 and 120 mM was considered in 3 replicates. The analysis of variance showed that the interaction between salinity stress and nanoparticles on germination parameters was significant at the 5% probability level. Principal component analysis was performed to differentiate nanoparticle and salinity treatments based on the investigated parameters. Thermal map clustering was drawn to investigate and relate salinity levels and copper nanoparticles with germination parameters. The findings showed that using green copper nanoparticles as agents for reducing salinity stress effectively affects the germination parameters of pinto beans. Based on a multivariate general linear model and heat map clustering, 60 mg/L green copper nanoparticles and 80 mM sodium chloride were the most effective concentrations for reducing the effects of salinity on the investigated parameters.

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Volume 37, Issue 1
March 2024
Pages 16-29
  • Receive Date: 27 June 2022
  • Revise Date: 01 December 2022
  • Accept Date: 14 January 2023