Search Results (653)

The rising global food demand requires boosting agricultural productivity without compromising environmental sustainability, especially in the face of intensive agrochemical use and soil degradation. Based on this, strain TRQ67 was isolated from wheat rhizosphere soil in the Yaqui Valley, Mexico, and characterized morphologically, biochemically, and genomically. Strain TRQ67 possesses a genome of 4.04 Mbp across 37 contigs with a G + C content of 46.3%, comprising 4127 coding DNA sequences (CDSs), and was identified as Bacillus velezensis through Overall Genome Relatedness Indices (OGRIs), including Average Nucleotide Identity (OrthoANI = 99.12%) and Genome-to-Genome Distance Calculator (Formula 2: 92.6%). The genome revealed key functional genes associated with auxin biosynthesis (trpABCDEF and yhcX), iron acquisition (dhbABF), nutrient solubilization (gabD, acnAB and pyc), stress response (clpCEPX and pspA), antifungal metabolite synthesis (srfAABCD, fenABCD and bmyABC), chemotaxis and motility (cheABCD, motAB, flgBCDEF, swrC), bacterial fitness (acoABR, acuABC and budABC), exopolysaccharide production (epsDEFHI), sporulation (spo0ABEF) and bioremediation. Predicted gene functions were supported by in vitro phenotypic assays; strain TRQ67 was able to solubilize phosphate (Solubilization Index of 4.1 ± 0.46), biosynthesize siderophores (Production Index of 1.70 ± 0.16), and produce indoles (6.52 ± 0.63 µg mL⁻¹). Furthermore, this strain demonstrated antagonistic activity against phytopathogenic fungi Fusarium languescens and Bipolaris sorokiniana, resulting in reductions in fungal growth area of 87.33% and 89.28%, respectively. These antagonistic effects are consistent with the presence of Biosynthetic Gene Clusters (BGCs) encoding lipopeptides (surfactin and fengycin), polyketides (difficidin, bacillaene and macrolactin H), dipeptides (bacilysin) and siderophores (bacillibactin), as identified through antiSMASH analysis. Finally, the strain significantly improved root (27.63%) and shoot (5.82%) biomass in wheat plants under controlled conditions. These results highlight Bacillus velezensis TRQ67 as a promising microbial inoculant with plant growth promotion capabilities and potential antifungal activity against phytopathogenic fungi, as evidenced by strong in vitro antagonistic activity, supporting its further evaluation for sustainable agricultural practices. Full article

Background/Objectives: Congenital heart defects (CHDs) are among the most common congenital anomalies worldwide, and maternal nutrition during early pregnancy may influence their development. Although previous studies have mainly evaluated individual B-complex vitamins, the contribution of their combined dietary intake to CHD risk remains poorly understood. This study investigated the association between maternal dietary B-complex vitamin intake and the risk of complex CHDs in a Mexican case–control study. Methods: Maternal dietary intake during pregnancy was assessed using a validated food frequency questionnaire, and nutrient intakes were energy-adjusted. Principal component analysis was used to construct a B-Complex Index based on the combined intake of vitamins B1, B2, B3, B6, and B12. Associations were evaluated using multivariable logistic regression adjusted for maternal age, total energy intake, multivitamin supplementation during pregnancy, and periconceptional folic acid supplementation. Results: Mothers of children with complex CHDs had significantly lower dietary intakes of B-complex vitamins than control mothers. The B-Complex Index was independently associated with lower odds of complex CHDs (adjusted OR = 0.707, 95% CI: 0.586–0.843; p = 0.0001). Conclusions: These findings suggest that evaluating the overall maternal dietary pattern of selected B-complex vitamins may provide complementary information regarding the nutritional environment relevant to early cardiac development. Prospective studies integrating dietary assessment, biomarkers, and genetic susceptibility are warranted to confirm these findings and further elucidate the underlying biological mechanisms. Full article

Background/Objectives: Choline is an essential nutrient, and deficiency is associated with metabolic dysfunction-associated steatotic liver disease. Research shows that Western populations have inadequate choline intake; however, the intake in Asian populations is less studied. This study developed a choline database for Thai food and evaluated intake in the Thai population. Methods: Following guidelines of the Food and Agriculture Organization/the International Network of Food Data Systems, 1806 Thai food items were matched to the U.S. choline database, and the missForest imputation method was used to impute missing data. Choline intake was assessed in Thai adults aged 18 years and older using a nationally representative sample of the Thai Food Consumption Survey (n = 3593). Results: Animal-based foods such as eggs, meat, and fish contained more choline than plant-based foods. Median choline intake was 134.7 mg/day (IQR: 70.6, 229.3), with 3.6% of Thai individuals meeting adequate intake levels. Men consumed more choline than women (median 153 vs. 120 mg/day; p < 0.001). Choline intake declined with age but did not differ by body mass index. Conclusions: This study created a choline database for Thai food and shows that most Thais have intake below the recommended intake levels. Full article

Background/Objectives: Adherence to the Mediterranean diet has declined in recent decades, highlighting the need for practical, technology-enabled tools to support its adoption. This study developed and evaluated MAI-DIET, a clinician-supervised, data-driven, AI-assisted programmatic framework designed to generate Greek–Mediterranean recipe-based meal plans for apparently healthy community-dwelling adults. Methods: MAI-DIET is combined with standardized food-composition and recipe libraries and a rule-based module that performs meal-plan generation and nutrient calculations. Claude Opus 4.7 supported predefined operator-supervised transformation tasks, and provided the interface for launching the rule-based module. Six 28-day recipe-based dietary plans were generated for hypothetical adults with energy goals ranging from 1600 to 2600 kcal/day. The generated plans were not tested in the intended population. For each plan, detailed nutritional analysis was performed according to predefined criteria. The quality of the dietary plans was assessed using validated scores, i.e., MedDietScore, dietary phytochemical index (DPI), and GR-UPFAST. Early-stage acceptability was evaluated by 103 healthcare professionals using a five-point Likert questionnaire. Results: All plans met the predefined energy criteria, while most nutrient targets were achieved. Deviations were observed for sodium, particularly in the higher-energy plans (reaching +36.3%), and for calcium, which was 17.5% below the EFSA population reference intake in the 1600 kcal/day plan. MedDietScore ranged between 35 and 36/55, while DPI was 47.0–50.9% and GR-UPFAST was 2.0–4.5/70. Overall acceptability was favorable (3.84 ± 0.59), with Cronbach’s alpha values of 0.838–0.952. Conclusions: The findings support the technical feasibility of the MAI-DIET framework and its preliminary acceptability among healthcare professionals. Further evaluation is required before conclusions can be drawn regarding its practical effectiveness. Full article

Food scarcity is a major ecological challenge for cavefish; however, their coordinated physiological and molecular responses to prolonged starvation remain poorly understood. Here, we characterized the responses of Triplophysa rosa to 30, 60, and 90 days of food deprivation under controlled laboratory conditions by integrating growth measurements, histology, transcriptomics, quantitative reverse transcription PCR, and transmission electron microscopy. Starvation inhibited growth, reduced the condition factor and hepatosomatic index, and induced hepatocyte shrinkage, consistent with mobilization of hepatic energy reserves. Liver genes with declining temporal expression were enriched mainly in lipid biosynthesis, cholesterol metabolism, ribosomal function, and cell-cycle pathways, consistent with reduced biosynthetic activity. In the spleen, immune-related transcription increased during early starvation and declined at later stages, while the greater prominence of melano-macrophage centers was consistent with greater involvement of cellular clearance and tissue maintenance during prolonged starvation. Prolonged starvation also increased the expression of autophagy-related genes in the liver and spleen, and autophagy-related structures became more prominent in representative transmission electron microscopy images, consistent with increased involvement of intracellular recycling. Together, these findings reveal a coordinated temporal response involving metabolic adjustment, stage-dependent reorganization of splenic immune-related processes, and autophagy-associated cellular maintenance in T. rosa. This integrated approach improves our understanding of physiological maintenance during sustained nutrient limitation in cave-restricted fish. Full article

Soil salinity is a major environmental constraint that threatens global food security by significantly inhibiting seed germination and early seedling establishment. Salinity disrupts all three phases of seed germination: Phase I (imbibition), where reduced water absorption capacity reduces seed hydration and delays metabolic reactivation; Phase II (lag phase), where ionic toxicity and oxidative stress impair enzyme activity, reserve mobilization, and cellular metabolism; and Phase III (radicle protrusion), where limited cell division and length prevent radicle emergence and seedling establishment. These disturbances reduce germination percentage, germination rate, germination index, germination energy, and plant vigor, while increasing average germination time. At the morpho-physiological level, salinity impairs water absorption, membrane stability, photosynthetic pigment accumulation, and root–shoot development. Biochemically, excessive accumulation of reactive oxygen species (ROS), hydrogen peroxide (H₂O₂), and malondialdehyde (MDA) causes cellular damage and metabolic dysfunction. At the molecular level, salinity alters the expression of the aquaporin gene family (PIPs, TIPs, NIPs, and SIPs), suppresses starch mobilization by reducing α-amylase, enhances abscisic acid (ABA) signaling, and inhibits gibberellic acid (GA) biosynthesis, all of which cause inhibition of germination and early growth. As a result, an effective strategy is needed to improve seed germination under saline conditions. Therefore, the second focus of this review is to critically evaluate the potential of nanoparticles (NPs) and nanobiochar (NBC) as emerging tools to mitigate salinity stress during seed germination. Current evidence suggests that NPs and NBC enhance water absorption, maintain membrane strength, improve nutrient availability, promote antioxidant defense systems, and regulate osmotic adjustment in saline environments. Furthermore, these nanomaterials alter key molecular pathways involved in aquaporin expression, hormonal homeostasis, and reserve mobilization, thereby promoting successful germination and seedling establishment. By combining recent advances in physiological, biochemical, and molecular research, this review provides a comprehensive understanding of salinity-induced germination disruption and highlights the potential of NP- and NBC-based approaches to improve crop establishment under saline conditions. Full article

Litter and understory are key components of forest ecosystems, playing vital roles in soil carbon inputs and microhabitat regulation. Their removal is a common forest management practice: litter removal (L) reduces fire and pest risks while promoting nutrient cycling, whereas understory removal (U) alleviates nutrient competition between understory plants and trees. However, the combined effects and underlying mechanisms of litter removal (L) and understory removal (U) on soil nematode communities remain unclear. This study investigated the individual and interactive effects of L and U on soil nematode communities in a coniferous–broadleaved mixed forest in a subtropical–warm temperate transition zone. The results showed that L significantly reduced soil nematode abundance by 18.1%, increased the relative abundance of bacterivores and omnivores-predators by 21.1% and 103.3%, respectively. U significantly elevated the relative abundance of fungivores by 30.8%, while both L and U reduced the relative abundance of plant-parasitic nematodes. Significant interactive effects between L and U were observed on soil nematode abundance, relative abundances of fungivores, plant-parasites, maturity index, and plant parasite index. Litter plus understory removal (LU) alleviated soil nematode resource limitation through synergistic regulation of resource pulses and microhabitat modification. Faunal analysis based on structure and enrichment indices indicated that LU enhanced food web structural complexity and resource-use efficiency. Redundancy analysis identified microbial biomass carbon, microbial biomass nitrogen, and soil total carbon as key drivers of nematode community differentiation. This study reveals the synergistic regulatory patterns of litter and understory vegetation on soil nematode communities, providing a theoretical reference for understanding the responses of soil nematodes to understory disturbance during the growing season in climate transitional forests, and offering basic data for long-term monitoring and forest soil management. Full article

The demand for sustainable nutrients and bioactive compounds has increased interest in underutilized wild plants. Forestiera tomentosa, a Mexican drupe-bearing species, is largely unexplored. This study evaluated the proximate composition, physicochemical and functional properties, phenolic profile, antioxidant capacity, and toxicological safety of F. tomentosa fruit. The fruit showed high carbohydrate content [71.94% dry weight (DW)], with notable crude fiber (7.90% DW), protein (7.39% DW), and lipid (4.30% DW) contents. Analysis revealed a mildly acidic pH (5.66), titratable acidity of 0.32%, and total soluble solids of 2.33 °Brix. The fruit powder had a low water activity (0.42) and a favorable water solubility index (56.10%), oil absorption (4.54%), and foaming capacity (19.71%). The fruit contained high levels of soluble phenols (280.42 mg GAE/g DW), flavonoids (98.89 mg CE/g DW), anthocyanins (54.53 mg C3G/g DW), and condensed tannins (94.05 mg CE/g DW). High-performance liquid chromatography identified 20 phenolic compounds, with 3-(4-hydroxyphenyl) propionic acid, syringic acid, catechin, epicatechin, and gallocatechin being predominant. The fruit showed significant radical scavenging and reducing potential (DPPH, ABTS, and FRAP). Toxicological evaluation using the Artemia salina bioassay showed a 100% survival rate across all concentrations, indicating no acute toxicity. In silico ADMET predictions revealed favorable pharmacokinetic properties, including high intestinal absorption and compliance with Lipinski’s rule of five. These findings position F. tomentosa as a promising, non-toxic source of functional ingredients for the food, nutraceutical, and pharmaceutical industries, supporting biodiversity conservation and sustainable resource utilization. Further studies are needed to evaluate the potential health benefits of this fruit in vitro and in vivo. Full article

In recent years, the food industry has increasingly focused on reintegrating nutrient- and phytochemical-rich processing by-products into high-consumption food matrixes. Aligned with this trend, our study investigated melon peel powder (MPP) as a value-added, upcycled ingredient in biscuit formulations with 0, 5, 10, 15, and 20% (w/w) MPP as a partial replacement for wheat flour (WF). The effects of this substitution on nutritional profile, colour, physical properties, total phenolic content (TPC), total flavonoid content (TFC), DPPH radical scavenging activity, ferric reducing antioxidant power (FRAP), structural characteristics, and post-baking retention were evaluated. MPP exhibited higher TPC (1531.76 mg GAE/100 g DM), TFC (681.42 mg QE/100 g DM), FRAP (104.37 µM Fe²⁺/g DM) and DPPH (125.01 µM TE/g DM) than WF. Its incorporation improved nutritional quality by increasing dietary fiber and ash, while reducing available carbohydrates and energy value. Substantial enhancements were observed, with up to 6.72- and 6.93-fold increases in FRAP and DPPH, alongside 3.82- and 3.92-fold increases in TPC and TFC at the highest substitution level. Although baking reduced these levels, retention remained at 57–62% (TPC), 55–59% (TFC), 60–65% (FRAP), and 63–70% (DPPH), indicating partial thermal stability and possible contribution of heat-induced antioxidant compounds. MPP addition also affected technological properties, increasing baking yield and spread ratio while decreasing lightness (L*) and increasing yellowness (b*) and browning index (BI), resulting in yellow-brown tones. Fourier-transform infrared spectroscopy (FTIR) and wide-angle X-ray scattering (WAXS) analyses confirmed structural compatibility between WF and MPP, evidenced by the absence of new functional groups, preservation of the A-type crystalline structure of wheat starch without polymorphic transitions, and no indication of phase separation, whereas baking promoted starch gelatinization and integration of fibrous and pectic components. These findings support a potential valorisation pathway for melon by-products through their conversion into a value-added ingredient for biscuit production. Full article

Background: Children with Autism Spectrum Disorder (ASD) frequently exhibit severe food selectivity and micronutrient deficiencies, impacting growth and nutritional status. Evidence on integrated nutritional interventions in resource-constrained settings remains limited. Objective: To assess the feasibility and preliminary pre–post changes associated with a 12-week multicomponent nutritional intervention among Vietnamese children with ASD. Methods: In this exploratory single-arm pilot study, 56 children with ASD (mean age 59.0 ± 22.3 months; 80.4% male) were recruited from five community centers in Nghe An Province, Vietnam. The intervention comprised caregiver nutrition education, individualized dietary counseling, and daily multi-micronutrient supplementation. Anthropometric indicators, biochemical markers, feeding behaviors, and dietary intake were assessed at baseline and after 12 weeks. Pre–post changes were evaluated using paired statistical tests, and multivariable linear regression examined factors associated with growth response. Results: The study achieved a 100% completion rate, with all 56 recruited participants finishing the 12-week intervention and all scheduled follow-up assessments. Among children < 60 months, mean Weight-for-Age Z-score (WAZ) increased from −0.66 to −0.28 and mean Height-for-Age Z-score (HAZ) from −1.18 to −0.97 (p < 0.001). For children older than 60 months, mean HAZ increased from −0.87 to −0.58 (p < 0.001) and Body Mass Index-for-Age Z-score (BAZ) from −0.20 to 0.06 (p = 0.006). Significant increases occurred in serum zinc (10.29 to 11.72 µmol/L; p = 0.001), ferritin (31.74 to 34.79 ng/mL; p = 0.001), and hemoglobin (122.73 to 124.77 g/L; p = 0.002), while albumin remained unchanged. Concurrent improvements were observed in feeding behaviors and nutrient-dense food intake. Regression analysis indicated that lower baseline anthropometric status was significantly associated with greater gains in WAZ and HAZ. Conclusions: This community-based multicomponent intervention was feasible and associated with short-term improvements in feeding behaviors, dietary intake, selected biomarkers, and growth measures in children with ASD, supporting further evaluation in randomized controlled trials. Full article

Background: Capturing the healthfulness of mixed dishes per serving can be a challenge. Objectives: To develop a Nutrient Density Calculator (NDC) for mixed dishes to guide recipe innovation and reformulation. Methods: Recipe files and nutrient composition data for mixed dishes came from the US Department of Agriculture Food and Nutrient Database for Dietary Studies (FNDDS 2021–2023). Included were mixed dishes with meat, poultry, seafood, grains, vegetables or legumes as their main ingredient, Asian and Mexican dishes, pizza, sandwiches, burgers, and nuts and seeds (n = 1570). Observed servings as consumed came from the National Health and Nutrition Examination Survey data (NHANES 2017–2020/2021 –2023). The NDC version 643 had three components: NR6 based on six nutrients to encourage (protein, fiber, calcium, iron, potassium, vitamin D); MP4 based on ingredients (fruits and vegetables, whole grains, pulses, nuts and seeds); and LIM based on three nutrients to limit (saturated fat, added or total sugar, sodium). An abbreviated version, NDC343, used NR3 (protein, fiber, calcium). Alternative NDC models tested different component weights. Nutrient density was calculated per serving. Results: Both NDC643 and NDC343 gave higher scores to vegetables, pulses, and nuts and lower scores to meat-based dishes. Equal weighting of the three components produced NDC scores that were correlated with Nutri-Score (r = −0.64 for NDC343 and −0.70 for NDC643) and Health Star Rating values (r = −0.74 for NDC343 and −0.75 for NDC643). Correlations with energy density were −0.25 for NDC343 and −0.33 for NDC643. The NDC643 model was sensitive to recipe improvements for a variety of mixed dishes—more so than the Nutri-Score or the Health Star Rating. Conclusion: The three-component NDC model, combining both nutrients and ingredients, successfully captured nutrient density of mixed dishes and was sensitive to recipe improvements. Full article

Snacking has become a routine part of how people eat today, with real potential to shape overall diet quality, food choices, and daily nutrient intake. This cross-sectional study aimed to investigate snack purchasing and consumption habits among Greek adults, examine consumers’ perceptions of the nutritional value of snacks, and assess their attitudes toward nutrition labelling, nutrition claims, and innovative snack products. A structured questionnaire was sent out electronically to 1039 Greek adults. Participants provided information on their sociodemographic background, health and lifestyle habits, snack consumption and purchasing behavior, perceptions of snack products, nutrition labelling, and interest in innovative and functional snacks. The data were analyzed using descriptive statistics and Chi-square tests of independence. The most common packaged snack for the average person in the study was a cereal bar, while the least popular non-packaged snack was a bakery cheese pie. Consumers viewed the appearance of the product’s packaging as a secondary consideration at the point of purchase, and the most prominent label elements that attracted consumer attention were nutrition, calories, and fat. The claims that consumers found most appealing were “no preservatives” and “sugar-free/no added sugars.” A clear preference was shown for snack products that relied mainly on naturally occurring nutrients rather than fortified ingredients, as well as a greater willingness to try new savory snack options that used familiar/demonstrable Greek ingredients, such as certain olives, nuts, and fruit. Statistically significant relationships have been identified between certain snacking behaviors, attitudes, and labelling preferences, with respect to age, gender, education level, employment status, Body Mass Index (BMI), health status, physical activity, and place of residence. Within this relatively highly educated and predominantly urban sample, sociodemographic, education level and lifestyle all have an influence on how Greek adult consumers view and use snacks. Interest in nutrition information varies widely between different types of consumers. These findings may be useful in guiding the future development of snacks that meet the nutritional requirements of the Mediterranean diet, as well as in creating more targeted nutrition information and consumer education programs. Full article

Background/Objectives: Suboptimal dietary patterns are among the leading modifiable contributors to global morbidity and mortality, particularly in cardiovascular disease, type 2 diabetes mellitus (T2DM), obesity, metabolic syndrome, and hypertension. Digital nutrition platforms have emerged to improve adherence to evidence-based dietary strategies; however, many systems lack structured optimization, processing-aware nutrient profiling, and explainable artificial intelligence (AI) mechanisms. The integration of large language models (LLMs) into digital health introduces conversational personalization but also risks hallucination and unsafe outputs without constraint enforcement. This study aimed to describe the system development, architecture, database infrastructure, optimization algorithms, explainability enforcement, and digital health implications of NutriSteppe-AI, a chatbot-first LLM-driven system for personalized health menu generation constrained by deterministic nutrient logic and processing-aware scoring. Methods: NutriSteppe-AI integrates: (1) a multi-source structured nutrient database of 20,000 food products with up to 130 tracked nutrients; (2) energy requirement estimation using the revised Harris-Benedict equation; (3) linear programming-based multi-objective optimization; (4) a Healthy Food Index (HFI; 0.5–5.0 scale) incorporating NOVA processing classification penalties; (5) traffic-light nutrient gating; and (6) a constrained LLM orchestration layer governed by structured API contracts. Algorithmic validation was performed using 10,000 simulated user profiles spanning diverse age, anthropometric, activity, dietary exclusion, and budget parameters. Results: The system achieved 96.8% full constraint satisfaction with macronutrient mean absolute errors of 11.60% (energy), 18.86% (protein), 16.26% (fat), and 20.91% (carbohydrates). Incorporating NOVA processing penalties reduced ultra-processed food HFI scores by 0.73 points (p < 0.001). Median optimized menu HFI improved from 3.6 to 4.3. Median system latency was 1.8 s. Explainability validation confirmed 100% deterministic alignment with zero hallucinated numeric claims. Conclusions: NutriSteppe-AI demonstrates that LLM-driven nutrition chatbots can achieve deterministic, explainable, and clinically aligned performance when governed by structured optimization, processing-aware scoring, and explainability enforcement. This architecture provides scalable digital health infrastructure for cardiometabolic disease prevention in diverse populations. Full article

Background/Objectives: This study aimed to identify dietary patterns among community-dwelling older adults in northern Thailand and examine their associations with nutrient intake, serum biomarkers, and anthropometric indicators. Methods: A cross-sectional study was conducted among 117 older adults in Lampang and Chiang Mai provinces in Northern Thailand. Dietary intake was assessed using a semiquantitative food frequency questionnaire. Dietary patterns were derived using principal component analysis, and participants were classified into mutually exclusive dietary pattern groups based on their highest factor scores, which was defined as the dominant pattern. Differences in nutrient intake were evaluated using the Kruskal–Wallis test. Serum biomarkers and anthropometric indicators were assessed using an analysis of covariance adjusted for age, sex, residential area, total energy intake, and body mass index. Results: Four dietary patterns were identified: diverse traditional, processed staple-based, tropical fruit, and a Western diet high in fats and sweets. Dietary fiber intake differed significantly among the four patterns, with the highest level in the diverse traditional and lowest in the processed staple patterns. No significant differences were observed in total energy or major nutrient intake. Total cholesterol levels differed significantly, with lower levels in the traditional diet pattern than in the tropical fruit and Western diet patterns. Conclusions: Dietary patterns among older adults in northern Thailand may be associated with dietary fiber intake and serum total cholesterol levels. A traditional diet rich in vegetables and fish may be linked to more favorable nutrient intake and lipid profiles. Full article

Soil quality is central to agricultural sustainability and food security, yet coastal agroecosystems are increasingly threatened by degradation from intensive practices and seawater intrusion. This study aimed to integrate soil quality index (SQI), statistical modeling, machine learning (ML), and decision analysis to assess and manage soil health in the Skhirat coastal plain of Morocco. A total of 30 topsoil samples were collected and analyzed for chemical and nutrient properties. Spatial interpolation revealed strong coast–inland gradients where EC ranged from 0.47 to 6.3 dS/m with the highest salinity in the south-western fringe, while CEC (8.4–39.7 cmol/kg) and OM (0.54–2.81%) peaked inland. Principal component analysis (PCA) explained 65.9% of total variance, with salinity drivers loading negatively against fertility indicators. Redundancy analysis (RDA) biplots highlighted antagonism between salinity and fertility axes. The PCA-minimum data set (MDS)-SQI integrated key indicators and ranged from 0.084 to 0.897 (mean 0.614), classifying 33% of sites as low quality. The ML model linear regression achieved the best performance (R² = 0.907). Multi-criteria decision analysis (MCDA) using TOPSIS and PROMETHEE II prioritized coastal sites with indices up to 0.882, and robust underweight sensitivity (Spearman ρ = 0.992). This integrated framework demonstrates that soil chemical monitoring, AI prediction, and MCDA can jointly deliver robust, site-specific management strategies for vulnerable coastal agroecosystems. Full article