Department of Medicinal Plant, Graduate School of Pharmaceutical Sciences, Kumamoto University, 5-1 Oe-Honmachi, Chuo-ku, Kumamoto, Kumamoto 862-0973, Japan.
Global Center for Natural Resources Sciences, Kumamoto University, No. 5-1, Oe Honmachi, Chuo-ku, Kumamoto 862-0973, Japan.
Molecules. 2020 Nov 25;25(23):5529. doi: 10.3390/molecules25235529.
The growth and quality of licorice depend on various environmental factors, including the local climate and soil properties; therefore, its cultivation is often unsuccessful. The current study investigated the key factors that affect the contents of bioactive compounds of L. root and estimated suitable growth zones from collection sites in the Hatay region of Turkey. The contents of three bioactive compounds (glycyrrhizic acid, glabridin, and liquiritin), soil factors (pH, soil bearing capacity, and moisture content), and geographical information (slope, aspect, curvature, elevation, and hillshade) were measured. Meteorological data (temperature and precipitation) were also obtained. An analysis of variance (ANOVA) and multivariate analysis of variance (MANOVA) were performed on the data. The soil bearing capacity, moisture content, slope, aspect, curvature, and elevation of the study area showed statistically significant effects on the glycyrrhizic acid and liquiritin contents. A habitat suitability zone map was generated using a GIS-based frequency ratio (FR) model with spatial correlations to the soil, topographical, and meteorological data. The final map categorized the study area into four zones: very high (15.14%), high (31.50%), moderate (40.25%), and low suitability (13.11%). High suitability zones are recommended for further investigation and future cultivation of .
甘草的生长和质量取决于各种环境因素，包括当地气候和土壤特性；因此，其种植往往不成功。本研究调查了影响土耳其哈塔伊地区采集点甘草根中生物活性化合物含量的关键因素，并估计了适宜的生长区。测量了三种生物活性化合物（甘草酸、甘草素和甘草苷）、土壤因子（pH 值、土壤承载力和含水量）和地理信息（坡度、方位、曲率、海拔和山影）的含量。还获得了气象数据（温度和降水）。对数据进行了方差分析（ANOVA）和多元方差分析（MANOVA）。研究区的土壤承载力、含水量、坡度、方位、曲率和海拔对甘草酸和甘草苷含量有统计学显著影响。利用基于 GIS 的频率比 (FR) 模型生成了一个基于栖息地适宜性的地图，该模型与土壤、地形和气象数据具有空间相关性。最终的地图将研究区域分为四个区：非常适宜（15.14%）、高适宜（31.50%）、中适宜（40.25%）和低适宜（13.11%）。高适宜区建议进一步调查和未来种植 。
