摘要:
本文应用主成分分析和标准化数据—SEULID距离—Ward’s聚类分析法,对本省中低产田158个样品的12个肥力指标进行定量地综合评判。结果表明,土壤有机质含量,质地状况,耕层深度和有效钾丰缺,是影响土壤肥力的主要障碍因素。以四个最大主因子的因子得分值作为新的变量,把158个样品聚为七个不同水平的肥力类型,其中低肥力占三个类型,中肥力和高肥力各占两个类型,适合于中低产田的分类指导。
Abstract:
This paper uses principal component analysis and the ward’s cluster method of squared euclielian distances of standard data to svaluate fertility grade synthetically for the 12 fertility indexes of 158 paddy soils from medium-low yield regions at Fujian. The results showed that the content of soil organic matter, the status of soil textare, the depth of tillage layer and the content of avalable K2O affected soil fertility more strongly than any other indexes. The scores of four largest principal factors were used as new variables then 158 paddy soils were ferther grouped into seven types of soil fertility on the basis of clustering. Of them there are three types belonging to low fertility, two types belonging to medium and the other two types to high fertility. It is a guide to the classification of medium-low yielding fields.
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