Authors

Abstract

This study focused on Codonopsis pilosula by integrating meteorological and morphological data to establish a meteorology–phenotype correlation model and a three-dimensional (3D) phenotypic structure model. Spearman correlation analysis and an improved three-way K-means clustering method were applied to investigate 3D phenotypic variation and identify correlation thresholds. Based on these analyses, a dynamic 3D growth tracking model was developed to support real-time monitoring of ecological factors and targeted agronomic interventions. Validation using measured data revealed significant relationships between environmental variables and plant growth. Specifically, a 5% increase in relative humidity at 40 cm height (15.2–22.5 °C) corresponded to an approximately 10% increase in root growth. For nitrogen content (0.6–8.0), each unit increase resulted in an approximate 8% increase in root growth. Within the temperature range of 16.94–30.81 °C, each 1 °C increase led to an approximately 7% increase in stem growth. Within the effective range of global horizontal irradiance (GHI, 255–350), each 10-unit increase resulted in a 12% increase in stem growth. For air relative humidity (ARH, 50.3–60.9%), each 5% decrease corresponded to an approximately 6% increase in leaf growth, while for phosphorus content (1.2–9.8), each unit increase led to a 9% increase in leaf growth.

Abstract in Chinese

本研究以山西晋城陵川县潞党参为对象，采集气象与形态数据，建立气象—表型相关模型与潞党参三维表型结构模型；采用斯皮尔曼相关与改进三支K‑means聚类分析3D表型变化与相关性阈值，实现生态因子实时监测与人工干预，构建潞党参三维动态生长随动模型。实测数据检验结果表明，40cmMAT在15.2到22.5湿度增加 5% 对应的根生长增加约 10%；N在0.6到8.0每增加 1个单位，对应的根生长增加约 8%；MAT在16.94到30.81每升高 1℃，茎生长幅度提高约 7%；GHI在 255 到 350 的正向影响区间时，每增加 10 单位时，茎生长增加 12%；ARH在 50.3 到 60.9每降低 5%，叶的生长增加约 6%；P在 1.2 到 9.8每增加 1 单位，叶生长提高 9%。