摘要
为了综合评价芝麻苗期耐热性,对20个芝麻品种的14个相关指标进行了主成分分析和隶属函数法分析。结果表明,14个耐热性相关指标存在不同程度变异,变异系数为3.53%~18.26%;通过主成分分析提取了3个主成分,包含全部信息的83.54%;利用隶属函数法和聚类分析对不同芝麻耐热性综合值进行等级划分,将芝麻品种划分为6个等级,其中强耐热型品种2个,高敏感型品种3个。利用逐步回归法建立了芝麻苗期耐热性评价数学模型,从14个指标中筛选出9个关键指标,可以快速鉴定芝麻的耐热性能。结论可为耐热性芝麻品种选育和相关高产栽培提供理论及技术依据。
To comprehensively evaluate the heat tolerance of sesame seedling,14 indexes of 20 sesame varieties were analyzed by principal component analysis and membership function method.The results showed that there were different degrees of variation in 14 heat tolerance related indexes,and the coefficients of variation ranged from 3.53%to 18.26%.Three principal components were extracted by principal component analysis,representing 83.54%of the total information.The comprehensive values of heat tolerance of different sesame varieties were graded by membership function method and cluster analysis,and sesame varieties were divided into six grades,including two heat-tolerant varieties and three high-sensitive varieties.A mathematical model of sesame seedling heat tolerance evaluation was established by stepwise regression method.Nine key indexes selected from 14 indexes could be used as important indexes for screening and evaluation of heat tolerance of sesame.This conclusion was helpful to provide theoretical and technical basis for breeding heat-tolerant sesame varieties and related high-yield cultivation.
作者
苏小雨
高桐梅
张鹏钰
李丰
吴寅
王东勇
田媛
卫双玲
Su Xiaoyu;Gao Tongmei;Zhang Pengyu;Li Feng;Wu Yin;Wang Dongyong;Tian Yuan;Wei Shuangling(Sesame Research Center,Henan Academy of Agricultural Sciences,Zhengzhou 450002,Henan,China;The Shennong Seed Industry Laboratory,Zhengzhou 450002,Henan,China;Henan Key Laboratory of Genomics of Characteristic Oil Crops,Zhengzhou 450002,Henan,China)
出处
《作物杂志》
北大核心
2023年第4期52-59,共8页
Crops
基金
国家现代农业产业技术体系(CARS-14-1-14)
河南省重大科技专项(201300116004)
河南省农业科学院自主创新项目(2020ZC53,2021ZC7)
中国博士后科学基金资助项目(2020M672239)
河南省重点研发与推广专项(科技攻关)(222102110084)。
关键词
芝麻
耐热性
主成分分析
隶属函数
综合评价
Sesame(Sesamum indicum L.)
Heat resistance
Principal component analysis
Membership function
Comprehensive evaluation