Abstract | Phenophases of 18 cultivars of herbaceous peony (Paeonia lactiflora Pall.) introduced in Beijing were observed from 2012 to 2014, correlation degree between blooming stage and other six phenophases was analyzed by grey correlation analysis, hereby, its prediction model of blooming stage was established by multiple linear regression analysis method. The results show that correlation degree of blooming stage (Y) with bud color-changing stage (X1 ), bud showing stage (X2 ) and germination stage (X3 ) is higher, and multiple linear regression prediction model is Y =3. 516+0. 680X1 +0. 165X2 +0. 250X3 (R2 =0. 951). The prediction model is tested and its score is 333. 34 with a full mark rate of 83. 34%, indicating the prediction result of this model is better. |
关键词 | 芍药; 开花物候期; 灰色关联分析; 花期预测; 多元线性回归分析 |
Key words | herbaceous peony (Paeonia lactiflora Pall.); blooming phenophase; grey correlation analysis; prediction on blooming stage; multiple linear regression analysis |
作者 | 刘建鑫a, 于晓南a,b |
所在单位 | 北京林业大学: a. 园林学院, b. 花卉种质资源创新与分子育种北京市重点实验室 国家花卉工程技术研究中心城乡生态环境北京实验室, 北京100083 |
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下载次数 | 1443 |
基金项目 | 国家自然科学基金资助项目(31400591) |