基于主成分与灰色关联分析的饲草小黑麦品种筛选与配套技术研究

张阳, 张伟, 赵威军, 邵荣峰, 王官, 薛丁丁, 李金梅

Variety Screening and Study of Cultivation Technology for Forage Triticale Varieties Based on Principal Component and Grey Relation Analysis

Yang Zhang, Wei Zhang, Weijun Zhao, Rongfeng Shao, Guan Wang, Dingding Xue, Jinmei Li

表5 各处理综合效益值与加权关联度排名

Table 5 The ranking of the comprehensive benefit value and the weighted correlation

处理 Treatment 灰色关联系数 Grey relevant coefficient 排名 Rank 主成分综合值 Comprehensive evaluation value 排名 Rank A1B2C2 0.850 1 63.9 2 A1B1C3 0.807 2 64.1 1 A2B1C3 0.737 3 53.9 14 A1B1C2 0.718 4 60.2 3 A1B3C3 0.713 5 59.9 4 A1B2C3 0.712 6 57.8 9 A3B3C3 0.705 7 54.9 13 A1B3C2 0.702 8 59.6 5 A3B3C1 0.695 9 51.0 21 A2B2C2 0.695 10 52.8 16 A3B2C1 0.686 11 55.3 11 A1B1C1 0.684 12 58.4 8 A1B3C1 0.682 13 59.2 6 A2B2C3 0.677 14 52.0 19 A2B3C3 0.677 15 51.5 20 A1B2C1 0.660 16 52.4 18 A2B1C2 0.647 17 52.5 17 A2B3C1 0.633 18 53.8 15 A3B1C3 0.629 19 57.7 10 A2B2C1 0.620 20 49.7 22 A3B1C1 0.617 21 58.6 7 A3B2C2 0.615 22 48.9 23 A3B3C2 0.594 23 48.3 24 A3B1C2 0.592 24 55.0 12 A2B3C2 0.576 25 45.3 26 A3B2C3 0.562 26 43.4 27 A2B1C1 0.562 27 47.7 25