Phosphorus (P) is a vital macronutrient required for plant growth and development; however, only a small fraction is readily available for plant uptake because much of the soil phosphorus becomes immobilized through chemical fixation. Moreover, dependence on finite phosphate rock reserves and the intensive use of mineral phosphorus fertilizers increase production costs and raise environmental concerns, emphasizing the need for more sustainable phosphorus management strategies. Phosphate-solubilizing bacteria (PSB) are key drivers of microbial phosphorus cycling, enhancing phosphorus bioavailability by transforming insoluble inorganic and organic phosphorus compounds into forms that plants can readily absorb. This process is mediated by the secretion of organic acids, phosphatases, phytases, and other metabolites involved in phosphorus mobilization. In addition to increasing phosphorus bioavailability, PSB can enhance overall nutrient-use efficiency, promote root growth and architecture, support biological nitrogen fixation, and strengthen plant resilience to abiotic stresses, including drought, salinity, and temperature extremes. Owing to these multiple plant growth-promoting functions, PSB are increasingly recognized as promising bioinoculants that can improve crop productivity, enhance climate resilience, and reduce reliance on synthetic phosphorus fertilizers. This narrative review provides a comprehensive overview of recent advances in understanding PSB-mediated microbial phosphorus cycling, with particular emphasis on the mechanisms underlying phosphorus solubilization, interactions with plant roots, and contributions to sustainable crop production. Evidence from laboratory, greenhouse, and field studies is synthesized to evaluate PSB-mediated mechanisms, plant responses, and their potential for agricultural application. The review also highlights key barriers to the widespread adoption of PSB, including inconsistent field performance and challenges associated with commercialization. Addressing these limitations could support the development of cost-effective biofertilizers that increase phosphorus-use efficiency, reduce dependence on mineral fertilizers, lower production costs, and enhance farm profitability while contributing to sustainable agriculture.

Dairy production is an important component of Uzbekistan's food system but is associated with environmental burdens. This study presents a cradle-to-gate life cycle assessment (LCA) of pasteurized milk production in Uzbekistan to quantify environmental impacts, identify hotspots, evaluate uncertainty, and assess environmental improvement options. A case-based inventory informed by farm records and national production data was developed for 1000 kg of pasteurized milk at the factory gate, covering feed production, dairy farming, transport, processing, and packaging. Environmental impacts were assessed using ReCiPe 2016 Midpoint (H). Global warming potential (GWP), characterized water consumption, terrestrial acidification, freshwater eutrophication, and fossil resource scarcity were 1537.8 kg CO₂-eq, 1509.5 m³, 13.40 kg SO₂-eq, 0.775 kg P-eq, and 158.1 kg oil-eq, respectively. Dairy-farm activities were the largest GWP contributor (46.6%), while feed production accounted for all characterized water consumption and dominated freshwater eutrophication (81.8%). Feed production and dairy-farm activities contributed 52.9% and 47.1% of terrestrial acidification, respectively, whereas packaging dominated fossil resource scarcity (65.8%). Monte Carlo analysis quantified model uncertainty, while sensitivity analysis identified methane/manure emissions as the main GWP uncertainty driver, irrigation demand for water consumption, fertilizer nutrient losses for acidification and eutrophication, and packaging factors for fossil resource scarcity. The integrated inventory-level sustainability scenario reduced GWP, water consumption, acidification, eutrophication, and fossil resource scarcity by 23.9%, 47.5%, 25.0%, 25.0%, and 4.5%, respectively. These findings support impact-specific strategies for improving the environmental sustainability of the assessed dairy production system and provide evidence relevant to dairy-sector improvement in Uzbekistan.

This study develops an integrated process-oriented framework for analyzing and optimizing multi-component extraction from plant-based matrices using time-dependent kinetic modeling and response surface methodology. Crataegus songarica fruit was used as a model system, and the extraction behavior of polyphenols, water-soluble vitamins, simple sugars, minerals, and heavy metals was monitored over a 29 h extraction period. Polyphenol extraction exhibited a biphasic release–degradation profile that was accurately described using nonlinear kinetic models (R2 generally > 0.90), while vitamins and simple sugars demonstrated compound-specific extraction dynamics fitted with appropriate mathematical functions. Mineral concentrations showed time-dependent maxima between 9 and 18 h, highlighting the importance of extraction-time control, whereas continuous monitoring confirmed that heavy metal levels remained within acceptable safety limits throughout the process. Preliminary regression screening and response surface methodology identified ethanol concentration and pH as the dominant variables governing flavonoid recovery. Optimal extraction conditions (70.8% ethanol, 78.4 °C, pH 2.0) were experimentally validated with minimal deviation from predicted values. Overall, the proposed integrated kinetic–optimization framework provides transferable process-level insight for the design, optimization, and scale-up of plant extraction systems with relevance to food processing, ingredient standardization, and safety-oriented bioprocess control.