Traditional germplasm data organization methods, in which different tables are concerned different crops, cannot meet the need for germplasm synthetic data analysis.
传统的作物种质数据组织方法，针对不同作物种类建立不同数据表，这种方法已不能有效适应种质数据综合分析的需要。
This system includes many links, such as: data pre-processing, data fitting, sliding extrapolation, clustering analysis and synthetic evaluation.
该系统包括资料预处理、数据拟合、滑动外推、聚类分析、综合评判等多个环节。
Methods Data is analyzed by principal components analysis and ambiguity synthetic judgment.
方法应用主成分分析法和模糊综合评判法分析数据。
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