中国农业科学2023，Vol.56Issue(23)：4742-4756,15.DOI:10.3864/j.issn.0578-1752.2023.23.015
芍药耐热性评价及其鉴定指标筛选
Evaluation of Heat Tolerance of Herbaceous Peony and Screening of Its Identification Indices
摘要
Abstract
[Objective]The multivariate statistical analysis method was used to evaluate the heat-tolerance of different herbaceous peony(Paeonia lactiflora Pall.)varieties,to screen the heat-tolerance identification indexes of peony,and finally to establish a more comprehensive and reliable heat-tolerance evaluation system of peony.[Method]In this study,140 peony varieties were used as materials,and field experiments were used to measure 8 morphological and structural indexes,including heat damage index,plant height,crown width,and SPAD value;at the same time,13 physiological indexes,such as malondialdehyde and relative electrical conductivity,were measured in August after high-temperature stress in summer.Correlation analysis,subordination function method,principal component analysis,cluster analysis and stepwise regression analysis were used to comprehensively evaluate the peony heat-tolerance and to screen the identification indexes of heat-tolerance.[Result]There were different degrees of variation among the 21 indicators,and the variation coefficient ranged from 6.66％to 78.02％.The variation coefficient was shown as follows:Catalase(CAT)＞POD＞Pn＞qN＞SOD＞stomatal density＞barrier tissue thickness/sponge tissue thickness＞SSC＞SPC＞heat damage index＞SPAD＞Y(Ⅱ)＞b＞MDA＞Y(NO)＞crown width＞leaf thickness＞plant height＞REC＞Fv/Fm＞Hue angle(H),among which,CATwas the largest coefficient of variation,and H was the smallest coefficient of variation;through the correlation analysis of each index,it was found that X1(heat damage index)and X2(plant height),X3(crown width),X4(SPAD),X7(Fv/Fm),X12(leaf thickness),X17(SSC)were extremely significantly negatively correlated,which were significantly negatively correlated with X6(Pn),X8[Y(Ⅱ)],X13(stomatal density),X20(CAT),while they were extremely significantly positively correlated with X5(REC),X9[Y(NO)],X16(MDA)and X18(SPC).There were different degrees of correlation among the indicators,which was relatively complicated;21 indicators were extracted into 7 principal component factors through the principal component analysis method,and the contribution rates were 20.50％,11.66％,8.24％,7.24％,7.06％,5.31％,and 4.85％,respectively,while the cumulative contribution rate reached 64.87％;the comprehensive score(W)of 140 peony varieties were calculated by the membership function analysis method.On this basis,cluster analysis was used to classify the peony cultivars into four types of heat resistance:"excellent""good""medium"and"poor".The"excellent"type accounted for 14.3％,"good"type accounted for 26.4％,"medium"type accounted for 46.4％,and"poor"type accounted for 12.9％;the stepwise regression analysis was further used to establish the optimal linear regression equation:W=0.228-0.166X1+0.002X4+0.325X7-0.257X9+0.112X10+0.00028X13+0.002X17+0.00015X19+0.001X20,and 9 indicators were selected from 21 indicators(heat damage index),including X1(heat damage index),X4(SPAD),X7(Fv/Fm),X9[Y(NO)],X10(qN),X13(pore density),X17(SSC),X19(SOD),and X20(CAT),which were used as identification peony indicators of heat-resistance.[Conclusion]By using multivariate statistical analysis method to evaluate the heat resistance of peony,140 peony varieties were divided into 4 categories(excellent,good,medium,and poor).9 indexes including heat damage index and SPAD value were screened as identification indexes of heat-resistance of peony,to quickly evaluate the heat-resistant ability of peony,thereby significantly improving the efficiency of heat-resistant identification of peony.关键词
芍药/耐热性/主成分分析/隶属函数分析/综合评价体系Key words
herbaceous peony/heat-tolerance/principal component analysis/subordination function methods/comprehensive evaluation system引用本文复制引用
侯赵玉,龚亦钊,钱祎,程卓雅,陶俊,赵大球..芍药耐热性评价及其鉴定指标筛选[J].中国农业科学,2023,56(23):4742-4756,15.基金项目
江苏省种业振兴揭榜挂帅项目[JBGS(2021)020]、扬州市科技计划(现代农业)项目(YZ2022053)、国家林草科技创新发展研究项目(2023132012)、江苏省现代农业(花卉)产业技术体系[JATS(2023)489] （2021）
