摘要
本文简略介绍了灰色系统理论中关联度分析的基本原理和方法,以禾本科牧草引种试验的干草产量、抗病性和牧草粗蛋白质含量等9个主要性状的平均值为单位进行计算,探讨了灰色关联度分析方法在牧草引种综合评价中的应用。结果表明,综合性状最好的禾本科牧草品种依次是罗托(r_1=0.8014)、费罗德(r_4=0.7789)。阿潘努衣(r_3=0.7758)、扁穗雀麦(r_8=0.7590)、和努伊(r_(12)=0.7540),综合性状最差的是巴莫特拉(r_(17)=0.5052)和织金鸭茅(r_6=0.5818)。
Principle and method of relative grade analyse of the grey system were introduced and effectivelly im- plemented in the grass evaluation.In the application,nine agronomic characters of the tested varieties,dry matter yield,disease resistance and crude protein,were used as to calculate relative grade of each vari- eties.The result showed that best-performed varieties with comprehensive characters were Loter(r_1= 0.8014),Filod(r_4=0.7789),Afannui(r_3=0.7758),prairie grass(r_8=0.7590),Nui(r_(12)= 0.7540).
出处
《草业科学》
CAS
CSCD
北大核心
1991年第6期44-47,共4页
Pratacultural Science
