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机构地区:[1]北京林业大学园林学院,国家花卉工程技术研究中心
出 处:《北京林业大学学报》2013年第5期104-109,共6页Journal of Beijing Forestry University
基 金:北京市科委项目(Z08050602970801)
摘 要:以金叶女贞、紫叶桃和紫叶小檗的1年生休眠枝条为试材,通过人工模拟降温处理,测定其萌芽率、相对电导率等8个指标在0至-36℃低温胁迫条件下的生理响应,并对各指标进行相关性分析。结果表明,相对电导率、可溶性糖含量和超氧化物歧化酶(SOD)活性3个生理生化指标可作为3种彩叶树抗寒性的评价指标。利用主成分分析和隶属函数法对3种彩叶树进行抗寒性综合评价,金叶女贞、紫叶桃、紫叶小檗的综合评价值分别为0.086、0.106和0.979,即紫叶小檗的抗寒能力最强。The annual dormant shoots of Ligustrum x vicaryi, Prunus persica ' Atropurpurea' , and Berberis thunbergii ' Atropurpurea' were used to measure their physiological response to low temperatures from 0 to -36 ℃ using eight indices, such as bud germination rate, relative electric conductivity, etc. through an artificially-simulated cooling process. Based on correlation analysis among the indices, it was shown that relative electric conductivity, soluble sugar content and superoxide dismutase (SOD) activity could be used as indices to evaluate cold resistance. Using principal component analysis and subordinate functions to assess the cold resistance of all three color-leafed trees, the values were 0.086 (L. ~ vicaryi ) , O. 106 ( P. persica ' Atropurpurea' ) and 0.979 ( B. thunbergii ' Atropurpurea ' ) , respectively, i.e.B, thunbergii ' Atropurpurea' is the most cold-resistant one.
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