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American Journal Of Agriculture And Horticulture Innovations

Peer Reviewed | Open Access | E-ISSN: 2771-2559
Published Article

A Nanoparticle-Mediated Framework for Optimizing Seed Germination and Crop Growth in Sustainable Agriculture

A Nanoparticle-Mediated Framework for Optimizing Seed Germination and Crop Growth in Sustainable Agriculture

Authors

  • Dr. Nguyen Minh Anh
    Faculty of Agronomy, Vietnam National University of Agriculture, Hanoi, Vietnam
  • Dr. Tran Thi Lan
    Department of Horticultural Sciences, Can Tho University, Can Tho, Vietnam

Keywords:

Nanoparticles Seed Germination Sustainable Agriculture

Abstract

Nanotechnology has emerged as a promising approach for improving agricultural productivity through targeted delivery of nutrients, modulation of plant physiological processes, and enhancement of tolerance to environmental stresses. This review-research paper develops a nanoparticle-mediated framework for optimizing seed germination and subsequent crop growth by synthesizing evidence from the provided literature on zinc, zinc oxide, silicon, silica, copper, silver, and metallic oxide nanoparticles. The proposed framework conceptually connects nanoparticle selection, application strategy, seed germination response, physiological regulation, nutrient utilization, stress tolerance, vegetative development, and yield-related outcomes. The literature indicates that nanoparticle responses are strongly dependent on particle composition, concentration, application route, crop species, and environmental conditions. Zinc and zinc oxide nanoparticles demonstrate potential for improving nutrient uptake, growth, quality, and stress adaptation, while silicon- and silica-based nanoparticles are particularly relevant to abiotic stress management. Copper nanoparticles have demonstrated relevance to broccoli growth and yield, whereas metallic oxide nanoparticles have shown effects on tomato and eggplant development. At the same time, evidence concerning silver nanoparticles highlights the possibility of phytotoxic effects, emphasizing the importance of dose optimization and risk assessment. Based exclusively on the supplied studies, the framework positions nanoparticle application as a context-dependent optimization problem rather than a universally beneficial intervention. The proposed model provides a structured basis for integrating germination performance, physiological indicators, nutrient dynamics, stress responses, and productivity into sustainable nanoparticle-assisted agricultural management.

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