Multivariate analysis for ordination and comparison of size of Artemia cysts

It is known that the biometrics of brine shrimp cysts is of strain inherent. The analysis and comparison of the cyst charcters for the identification of unknown cysts from different geqraphical origin become mpible. In this paper, multivallate methods, mainly Principle Component Analysis (PCA) and Nonmetric Multi-dimensional Scaling (MDS), are used for the purpose. od results are gained with the analysis of the published data and some row data from cyst sizes. It shows that multivariate methods can cluster the similar characteristics of batch cysts and make out impure or mingled cysts of different origin. Amng others, MDS, with row data from the cyst measurement, can be easily used for the analysis of cyst ordination and comparison. The result demonstrates that the cysts of Chinese parthenopnetic brine shrimp are well discriminated by their geographic locations along the coastal China with larger size disttibuting in the south.