河北农业大学学报2025，Vol.48Issue(3)：46-57,12.DOI:10.13320/j.cnki.jauh.2025.0038
基于隶属函数法的仙客来高温耐受性评价与筛选
Evaluation and screening of high-temperature tolerance characteristics in Cyclamen based on membership function method
摘要
Abstract
To establish a suitable heat tolerance evaluation system for screening heat-tolerant germplasm of Cyclamen persicum,this study selected 20 main cultivated Cyclamen persicum varieties that were subjected to a daily 4-hour high-temperature stress treatment at 40℃.Morphological and physiological-biochemical indicators were systematically measured at 0,5,10,and 15 days of stress.The heat tolerance of the varieties was comprehensively evaluated using correlation analysis,membership function analysis,cluster analysis,stepwise regression analysis,and multi-indicator modeling.The results showed that:high-temperature stress significantly altered plant phenotypes and physiological parameters with significant differences in response patterns among varieties(P＜0.05).Membership function analysis revealed that the comprehensive evaluation value(D value)for heat tolerance ranged from 0.271 to 0.695,among with CP16(D=0.695)exhibited the best heat tolerance and CP6(D=0.271)was the most sensitive.Cluster analysis categorized the tested varieties into three groups:heat-tolerant(CP16),intermediate(CP2,CP3,CP7,etc.,totaling 13 varieties),and sensitive(CP1,CP4,CP5,CP6,CP18,CP20).Through multiple regression analysis,a heat tolerance evaluation model for Cyclamen persicum varieties was established consisted of five evaluation indicators(leaf width,leaf water content,Pro,SOD,Fv/Fo).The evaluation system developed in this study provided a theoretical basis and technical support for the breeding of heat-tolerant Cyclamen persicum varieties.关键词
仙客来/高温/隶属函数/综合评价Key words
Cyclamen/high temperature/membership function/comprehensive evaluation分类
农业科技引用本文复制引用
贾晓悦,赵艳格,周晓慧,史宝胜..基于隶属函数法的仙客来高温耐受性评价与筛选[J].河北农业大学学报,2025,48(3):46-57,12.基金项目
河北省现代农业产业技术体系花卉创新团队项目(HBCT2024200201) （HBCT2024200201）
河北省重点研发计划项目(22326511D) （22326511D）
河北农业大学园林与旅游学院创新团队项目. （）
