Development of Decision-Making Models for Optimizing the Production Technology of Natural Salt Substitutes Based on Salicornia perennans in Kazakhstan
DOI:
https://doi.org/10.63278/jicrcr.vi.313Keywords:
Salicornia perennans, natural salt substitutes, decision-making models, sustainable agriculture, saline soil optimization.Abstract
This study presents the development of decision-making models to optimize production technology for natural salt substitutes based on Salicornia perennans, a halophyte well-suited to Kazakhstan’s extensive saline soils. Given its unique adaptations—such as succulence, ion compartmentalization, and antioxidant production—Salicornia perennansemerges as a promising sustainable salt alternative, particularly for regions where traditional crops struggle. Through controlled laboratory trials, we analyzed the impact of saline conditions on nutrient composition and plant resilience. Key findings suggest that Salicornia cultivated under 50-100 mM NaCl conditions produces biomass with optimal sodium and micronutrient levels, ideal for salt substitution with desirable sensory properties. Multi-criteria decision-making (MCDM) models were then employed to assess variables such as nutrient retention, moisture stability, and cost-effectiveness. This systematic approach allows for the optimal selection of growth conditions, balancing ecological sustainability and production efficiency. Economic-mathematical modeling demonstrated the cost-benefit advantages of Salicornia cultivation on saline soils compared to traditional salt imports, especially given its low input requirements. Life Cycle Assessment (LCA) confirmed a reduced environmental footprint, highlighting Salicornia perennans as a sustainable agricultural resource. Additionally, risk assessment frameworks were developed to address variability in soil characteristics and climate conditions, ensuring the robustness of production strategies. In conclusion, Salicornia perennans represents a viable, scalable solution for natural salt substitutes in Kazakhstan. By leveraging decision-making models to optimize production, this study offers a pathway to sustainable food technology that aligns with regional agricultural goals.
