STUDY ON QUALITY NUMERICAL CLASSIFICATION OF SHEEPFOLD MANURE IN QINGHAI PROVINCE

Study on quality feature and numerical classification for 21 samples of sheepfold manure in six counties of eastern Qinghai province were carried out by means of a principal component analysis, fuzz cluster analysis and stepwise discriminant analysis. There are significantly positive correlation between the organic matter content and total nitrogen, total phosphorus content, and the negative correlation between the organic matter content and total potassium. The quality of sheepfold manure was influenced by organic matter and total potassium content mainly. Based on the principal component value of quality index, the sheepfold manure were grouped into three types, which were general, high organic matter content-low total potassium conntent, middle organic matter content-high total potassium content. The stepwise discriminant analysis has proved that this classification was correct and trustworthy.