摘要
通过盆栽试验对收集保存的38个观叶秋海棠种类的15个观赏性和适应性指标进行观测统计,构建观叶秋海棠品质性状综合评价体系,为筛选和利用适宜产业化生产的种类提供依据。应用层次分析法对各评价因子的权重进行定量评价,其中株型、叶面斑纹颜色、生长势、叶面斑纹大小的权重值分别为0.2210、0.1368、0.1041、0.0880,所占比重较大。对38个观叶秋海棠种类进行K-Means聚类分析,将其划分为优、良、一般3个等级,筛选出17个株形丰满紧凑、叶色鲜艳、生长势强的优等级种类,综合性状符合选择目标。结果表明,应用层次分析法和K-Means聚类法建立的评价体系,可以有效地对观叶秋海棠品种进行评价和分级,为进一步合理开发利用观叶秋海棠种质资源提供了一种相对科学严谨的方法。
The aim of the present study is to establish a comprehensive system for appraising the quality of ornamental foliage Begonia,and to offer a theoretical support for selection and application.Pot-culture experiments were conducted to observe 15 indexes of 38 ornamental foliage begonias species and cultivars and the weight of the indexes were quantitatively evaluated by analytic hierarchy process.The results showed that plant shape,variegation color of leaf upper side,growth vigor and size of leaf variegation each represented a significant share,whose weight was 0.2210,0.1368,0.1041 and 0.0880,respectively.By K-Means cluster method,the 38 species and cultivars were then clustered into 3 grades:excellent,good and general,and eventually 17 species and cultivars with excellent comprehensive characters(good shape,bright foliage color and strong growth vigor)were picked out.The results showed that the combination of analytic hierarchy process and cluster method could be used to appraise and classify ornamental foliage Begonia.This study will provide a precise method for exploitation and application of ornamental foliage Begonia germplasm resource.
作者
王林云
张智
徐伟韦
王炜勇
Wang Linyun;Zhang Zhi;Xu Weiwei;Wang Weiyong(Jiaojiang Bureau of Agriculture,Rural Affairs and Water Resources,Taizhou Zhejiang 318000;Taizhou Bureau of Agriculture and Rural Affairs,Taizhou Zhejiang 318000;Flower Research and Development Centre,Zhejiang Academy of Agricultural Sciences,Hangzhou 311200;Cixi Agricultural Technology Extension Center,Ningbo Zhejiang 315300)
出处
《中国农学通报》
2019年第32期57-63,共7页
Chinese Agricultural Science Bulletin
基金
浙江省重点科技创新团队项目“高档盆花设施安全生产关键技术研究与示范”(2011R5003414)
关键词
观叶秋海棠
品质
层次分析法
K-Means聚类法
综合评价
ornamental foliage Begonia
quality
analytic hierarchy process
K-Means cluster method
comprehensive appraisal