Ma Lin, Wang Zi-Xin, Jiang Jing-Yi, Miao Yu-Huan, Zhao Ting-Ting, Guo Lan-Ping, Liu Da-Hui
Resource Center for Chinese Materia Medica, Hubei University of Chinese Medicine Wuhan 430065, China.
National Agro-Tech Extension and Service Center Beijing 100125, China.
Zhongguo Zhong Yao Za Zhi. 2022 Jul;47(14):3738-3748. doi: 10.19540/j.cnki.cjcmm.20220414.102.
This study aims to explore the soil fertility in the main Artemisia argyi planting areas in Qichun county.To be specific, the soil physical and chemical properties in the main planting areas of A.argyi in Qichun county were analyzed.On this basis, 12 indexes were selected for principal component analysis(PCA) which was then combined with the norm value of each index and the correlation coefficients between the indexes to establish the minimum data set(MDS).The radar map was plotted to directly demonstrate the level of each index and the comprehensive level of the sampling sites.The comprehensive index model was used to calculate the soil fertility quality index(SFQI) of the total data set(TDS) and MDS(SFQI-TDS and SFQI-MDS, respectively), and linear regression of the two was performed.The results showed that the indexes that made up the MDS for soil fertility evaluation were pH, available potas-sium, available iron, available zinc, available manganese, available copper, and available magnesium.The radar map suggested the greatest difference in soil organic matter and smallest difference in available nitrogen among the 14 sampling sites.Moreover, the overall content of available phosphorus and available iron was high, while that of available nitrogen was the lowest.The SFQI-MDS which was yielded based on the weight of each index in MDS calculated with the norm value was more sensitive and the SFQI had stronger correlation with TDS-SFQI, which can better represent TDS-SFQI.SFQI-MDS was in the range of 0.298-0.784, with the average of 0.565 and variation coefficient of 18.38%.Caohe Town had the highest average SFQI-MDS.Clustering of SFQI-MDS value suggested that the soil fertility can be classified into 4 levels: level Ⅰ(SFQI ≥ 0.677) indicated excellent soil fertility, which accounted for 11.24%(mainly in Qingshi town, Balihu, and Zhangbang town); level Ⅱ(0.571≤SFQI≤0.680) meant good fertility, which made up 43.82%(mainly in Caohe town, Hengche town, and Pengsi town); level Ⅲ(0.466≤SFQI≤0.557) indicated average fertility, which took up 32.58%(mainly in Chidong town and Zhulin town); level Ⅳ(SFQI≤0.421) suggested poor fertility, which accounted for 12.36%(mainly in Guanyao town).It is recommended that nitrogen, potassium, magnesium, and calcium fertilizers should be increased and organic ferti-lizer should be applied for the cultivation of A.argyi in Qichun county to improve soil fertility and soil physical and chemical properties.
本研究旨在探究蕲春县主要艾叶种植区的土壤肥力。具体而言，对蕲春县艾叶主要种植区的土壤理化性质进行了分析。在此基础上，选取12项指标进行主成分分析（PCA），并结合各指标的标准值及指标间的相关系数建立最小数据集（MDS）。绘制雷达图以直观展示各指标水平及采样点的综合水平。采用综合指数模型计算总数据集（TDS）和MDS的土壤肥力质量指数（分别为SFQI - TDS和SFQI - MDS），并对二者进行线性回归。结果表明，构成土壤肥力评价MDS的指标为pH、有效钾、有效铁、有效锌、有效锰、有效铜和有效镁。雷达图显示，14个采样点中土壤有机质差异最大，有效氮差异最小。此外，有效磷和有效铁的总体含量较高，而有效氮含量最低。基于MDS中各指标权重结合标准值计算得出的SFQI - MDS更敏感，且SFQI与TDS - SFQI的相关性更强，能更好地代表TDS - SFQI。SFQI - MDS范围为0.298 - 0.784，平均值为0.565，变异系数为18.38%。漕河镇的平均SFQI - MDS最高。SFQI - MDS值聚类表明，土壤肥力可分为4个等级：Ⅰ级（SFQI≥0.677）表示土壤肥力极佳，占11.24%（主要分布在青石镇、八里湖和张榜镇）；Ⅱ级（0.571≤SFQI≤0.680）意味着肥力良好，占43.82%（主要分布在漕河镇、横车镇和彭思镇）；Ⅲ级（0.466≤SFQI≤0.557）表示肥力中等，占32.58%（主要分布在赤东镇和株林镇）；Ⅳ级（SFQI≤0.421）表明肥力较差，占12.36%（主要分布在管窑镇）。建议蕲春县种植艾叶时应增施氮、钾、镁、钙肥，并施用有机肥，以提高土壤肥力和土壤理化性质。
