2021年12月9日 星期四
北京地区引进观赏芍药花期与相关物候期的灰色关联分析及其花期预测模型建立
Grey correlation analysis between blooming stage and related phenophases and prediction model establishment of blooming stage of herbaceous peony introduced in Beijing
2015年 第24卷 第4期 页码[108-110]    下载全文[0.8MB]  
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 wordsherbaceous 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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基金项目国家自然科学基金资助项目(31400591)