灰关联聚类法在玉米品种综合评价中的应用  被引量:3

Application of Grey Relational Clustering Analysis in Comprehensive Appraisement of Maize Varieties

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作  者:张振文[1] 李开绵[1] 许瑞丽[1] 

机构地区:[1]中国热带农业科学院热带作物品种资源研究所,海南儋州571737

出  处:《热带农业科学》2006年第3期8-10,24,共4页Chinese Journal of Tropical Agriculture

摘  要:运用灰关联聚类分析法对10个玉米品种进行综合评价。结果表明,在λ=0.85的水平上,可将10个参试玉米品种分为3类。Suwan1的关联度排序最前,表明其综合性状最优;台南17、下层云优78、台农351属中等;其余的7个品种较差。A comprehensive appraisement of 10 maize varieties was made by grey relational cluster. The 10 varieties were clustered into three types at the level of A=0.85. Suwanl variety ranked the first in the relational degree among all the testes, indicating optimum overall characteristics. The varieties Tainan No.17, Xiachenyunyou No.78 and Tainong No.351 were clustered into the second or medium type; the rest six varieties the third or poor type, of which the variety NS1 was the poorest.

关 键 词:玉米 灰关联聚类分析法 综合评价 

分 类 号:S513[农业科学—作物学]

 

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