运用灰色关联度分析法评价微型番茄品种  

Application of the Grey Correlative Degree Analysis on Cherry Tomato Varieties

作　　者：潘光辉[1] 尹贤贵[2] 杨琦凤[1] 张赟[2] 杨峰[3] 

机构地区：[1]重庆市农业科学院蔬菜花卉研究所,重庆400055 [2]重庆市农业科学院,重庆401329 [3]达州市农业科学研究所,四川达州635000

出　　处：《西南农业学报》2009年第1期133-135,共3页Southwest China Journal of Agricultural Sciences

基　　金：重庆市科委项目

摘　　要：根据微型番茄品种比较试验的数据,运用灰色系统理论中的灰色关联度分析方法,对15个微型番茄品种进行了6个主要性状指标的综合分析与评价。结果表明,各参试品种加权关联度大小顺序为X8>X5>X2>X15>X6>X1>X14>X9>X4>X12>X13>X3>X11>X10>X7,即X8综合性状表现最好,X7最差。15 cherry tomato varieties, which had 6 main agronomic characters involved,were evaluated synthetically by the grey correlative degree analysis. The results showed that the order of the weighted grey correlative degree for those tested varieties were respectively as follows ： X8 〉 X5 〉 X2 〉 X15 〉 X6 〉 X1 〉 X14 〉 X9 〉 X4 〉 X12 〉 X13 〉 X3 〉 X11 〉 X10 〉 X7, which indicated that Xs was the best of the synthetical eharacters,X7 was the worst.

关 键 词：微型番茄 灰色关联度 综合评价 

分 类 号：S641.2[农业科学—蔬菜学]