Enhancing salt stress tolerance in sugar beet via TiO₂ nanoparticles: a machine learning approach

Area of Science:

• Agricultural Science
• Nanotechnology
• Plant Physiology

Background:

• Salt stress significantly impacts crop yield and quality, posing a challenge to global food security.
• Titanium dioxide (TiO2) nanoparticles are explored for their potential biostimulant properties in agriculture.
• Understanding the interaction between nanoparticles and plant stress responses is crucial for developing resilient crops.

Purpose of the Study:

• To investigate the biostimulant potential of titanium dioxide (TiO2) nanoparticles in enhancing sugar beet (Beta vulgaris L.) seed response to salt stress.
• To determine the optimal application levels of TiO2 nanoparticles under varying salinity conditions.
• To model and visualize the effects of TiO2 and salt stress on key plant parameters.

Main Methods:

• Controlled experiments applying varying concentrations of NaCl and TiO2 nanoparticles to sugar beet seeds.
• Statistical analysis using two-way ANOVA to examine individual and interactive effects.
• Machine learning regression models, including Gradient Boosting, to predict plant responses.
• Graphical surface analyses and multi-criteria scoring for determining optimal application strategies.

Main Results:

• TiO2 nanoparticles demonstrated a significant regulatory and protective effect against salt stress in sugar beet seeds.
• The efficacy of TiO2 varied with both nanoparticle dosage and the severity of salt stress.
• Optimal application combinations of TiO2 and NaCl were identified for specific morphological and physiological parameters.
• Machine learning models accurately predicted plant responses, facilitating data-driven optimization.

Conclusions:

• Nanotechnology, specifically TiO2 nanoparticles, offers a viable strategy for mitigating salt stress in crops like sugar beet.
• Data-driven approaches integrating machine learning are effective for optimizing agricultural inputs and stress management.
• This study provides a framework for leveraging nanobiostimulants in sustainable agriculture to enhance crop resilience.