不同统计方法对豆科牧草种质资源适应性评价的比较

以澳大利亚引进的豆科牧草为研究对象,运用灰关联分析、隶属函数分析、聚类分析和主成分分析法,对15份豆科牧草种质的8个主要农艺性状进行综合评价,探讨不同的分析方法在牧草种质资源评价中的应用。结果表明,4种方法综合评价较好的品种(系)为Nina柱花草、Temprano柱花草、Stylo540、Stylo541;4种综合评价方法结果基本一致,说明这4种综合评价方法均可单独应用于牧草种质资源评价,其中隶属函数分析方法简单,在大量的种质资源适应性评价中可优先使用。

Different Statistical Methods for Comprehensive Evaluation of Legume Germplasms

Eight agricultural characteristics of 15 germplasm accessions of legume pasture that introduced from Australia were evaluated comprehensively by using gray relation analysis,membership function analysis,cluster analysis and principal component analysis.The applications of the four statistical methods on comprehensive evaluation for legume germplasms were discussed.The evaluation results showed that stylo Nina,stylo Temprano,stylo 540 and stylo 541 were the better varieties,and the results of four statistical methods for Legume germplasm were in substantial agreement,so that the four statistical methods can be used for comprehensive evaluation of legume germplasm independently.