SPSS软件和主成分分析法在牧草营养价值评价中的应用  

Application of SPSS Software and Principle Component Analysis Method in Evaluation of Forage Nutrition Value

作　　者：张玉[1] 

机构地区：[1]青海省草原总站,青海西宁810008

出　　处：《安徽农业科学》2012年第12期7186-7188,共3页Journal of Anhui Agricultural Sciences

摘　　要：为了研究主成分分析法在牧草营养评价中的应用,利用SPSS软件和12种常见优良牧草的粗灰分(Ash)、粗脂肪(EE)、粗蛋白(CP)、无氮浸出物(NFE)、粗纤维(CF)5种营养成分进行分析,结果表明:珠芽蓼(Polygonum viviparum)、矮生嵩草(Kobresia humilis)营养成分的综合得分优于其他牧草品种。这说明利用SPSS软件和主成分分析法适用于牧草营养评价。In order to study the application of principle component analysis method in forage nutrition evaluation,crude ash,crude fat,crude protein,nitrogen-free extracts and crude fiber of 12 common kinds of fine forage were analyzed by using SPSS software.The results showed that the comprehensive score of Polygonum viviparum and Kobresia humilis are higher than the other varieties.It was proved that SPSS software and principle component analysis method are suitable for forage nutrition evaluation.

关 键 词：SPSS软件 主成分分析 牧草 营养价值 评价 

分 类 号：S817.11[农业科学—畜牧学]