摘要
为了选择适合华南地区园林中地栽的中国古老月季品种,对19个中国古老月季品种在湛江的田间表现进行为期两年的观测记录,选择其生产性状、观赏性状、抗逆性状进行观测记录,运用层次分析法与灰色关联度分析法,分成夏秋、冬春两季进行综合评估。结果表明:‘蝴蝶’‘赤龙含珠’是在湛江地区全年综合表现最好的两个品种,推荐在华南地区的园林中推广应用。‘月月粉’‘一品朱衣’‘粉妆楼’‘紫燕飞舞’‘思春’‘胭脂红’可以有选择地应用,其余品种不适合在湛江地区园林应用。该研究采用灰色关联和层次分析相结合的方法建立了华南地区庭院月季的综合指标评价体系,得出了华南地区庭院月季的品种选择权重值,其中最重要的4个指标分别是抗病性(0.2230)、花量(0.1618)、群体花期(0.1345)和分枝数(0.1279)。
In order to select Chinese ancient rose varieties suitable for field planting in gardens in Southern China,the field performance of 19 Chinese ancient rose varieties was observed and recorded in Zhanjiang Area for two years,and their production characters,ornamental characters and stress resistance were observed and recorded.They were divided into summer and autumn,winter and spring for comprehensive evaluation by using analytic hierarchy process and grey correlation analysis.The results showed that‘Hudie’and‘Chilonghanzhu’were the two varieties with the best comprehensive performance in the whole observation period in Zhanjiang area,which were recommended to popularize and apply in gardens in Southern China.‘Yueyuefen’‘Yipinzhuyi’‘Fenzhuanglou’‘Ziyanfeiwu’‘Sichun’‘Yanzhihong’can be applied selectively,other varieties were not suitable for garden applications in Zhanjiang area.In this study,the comprehensive index evaluation system of garden rose in Southern China was established by using the method of grey correlation and analytic hierarchy process,and the weight of variety selection of garden rose in Southern China was obtained.The most important four index were disease resistance(0.2230),flower quantity(0.1618),florescence(0.1345)and branch number(0.1279).
作者
王子凡
曾广艳
刘爽
WANG Zi-fan;ZENG Guang-yan;LIU Shuang(Lingnan Normal University,Zhanjiang 524048,China;Foshan University of Science and Technology,Foshan 528200,China)
出处
《黑龙江农业科学》
2022年第6期72-77,共6页
Heilongjiang Agricultural Sciences
基金
广东省自然科学基金粤东西北创新人才联合培养项目(2018A030307059)
广东省质量工程项目(114961715632)
湛江师范学院博士专项研究项目(ZL1012)
岭南师范学院教学改革项目(LSJGMS1833)。
关键词
中国古老月季
层次分析法
灰色关联度分析法
湛江地区
Chinese ancient rose
analytic hierarchy process(AHP)
grey relation analysis(GRAP)
Zhanjiang Area