AUTHOR=Huang Yonggang , Zhang Hongri , Wang Xinzhong , Wu Yuexing , Tan Xianliang , Xiong Kang TITLE=Critical Thresholds for Crack Ratio Suppression and Multi-Factor Ratio Optimization: A Synergistic Strategy of Organic-Slow Release Fertilizer-Rice Straw for Expansive Soil Improvement JOURNAL=Spanish Journal of Soil Science VOLUME=Volume 15 - 2025 YEAR=2025 URL=https://www.frontierspartnerships.org/journals/spanish-journal-of-soil-science/articles/10.3389/sjss.2025.14998 DOI=10.3389/sjss.2025.14998 ISSN=2253-6574 ABSTRACT=This study systematically analyzed the influence mechanism of the ratio of organic fertilizer (OF), slow-release fertilizer (SRF), and rice straw (RS) on the crack ratio and root content of expansive soil through Box-Behnken experimental design (BBD) and quadratic polynomial regression model. The results show that RS has the greatest contribution to fissure suppression. For every 0.1% increase in its content, the crack ratio decreases by 0.204% (p < 0.001). However, excessive OF (>10%) significantly increases the crack ratio by exacerbating the non-uniformity of drying shrinkage (β = 0.132, p < 0.001). Root content is mainly positively driven by RS (β = 0.126, p < 0.001), but RSF inhibits root growth through salt cementation (β = −0.042, p = 0.003). In terms of interaction, OF and RS synergistically increase root content (β = 0.104, p = 0.002), but OF and SRF antagonistically increase fissure risk (β = 0.042, p = 0.082). Multi-objective optimization yields three typical ratios: fissure priority scheme (RS = 0.70%, SRF = 0.83 kg/m3, OF = 8.2%, crack ratio 1.5%), balanced scheme (RS = 0.65%, SRF = 0.75 kg/m3, OF = 9.0%, root content 1.02 mg/cm3), and ecological priority scheme (RS = 0.55%, SRF = 0.60 kg/m3, OF = 11.5%, root content 1.25 mg/cm3). Model verification shows high prediction accuracy (crack ratio R2 = 0.91, RMSE = 0.12%; root content R2 = 0.93, RMSE = 0.11 mg/cm3), but in areas with high OF (>12%), drainage measures need to be combined to control the risk of salinization. This study provides a quantitative ratio design and risk control basis for the improvement of expansive soil with agricultural waste.