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

作　　者：侯赵玉 龚亦钊 钱祎 程卓雅 陶俊 赵大球 HOU ZhaoYu;GONG YiZhao;QIAN Yi;CHENG ZhuoYa;TAO Jun;ZHAO DaQiu(College of Horticulture and LandscapeArchitecture,Yangzhou University,Yangzhou 225009,Jiangsu)

机构地区：[1]扬州大学园艺园林学院,江苏扬州225009

出　　处：《中国农业科学》2023年第23期4742-4756,共15页Scientia Agricultura Sinica

基　　金：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]。

摘　　要：【目的】采用多元统计分析方法评价不同芍药品种的耐热能力、筛选芍药耐热性鉴定指标,建立更加全面可靠的芍药耐热性评价体系。【方法】本研究以140个芍药品种为材料,采用田间试验,在芍药经过夏季高温胁迫后于8月份测定热害指数、株高、冠幅、叶绿素相对含量(SPAD)等8个形态结构指标以及丙二醛(MDA)、相对电导率(REC)等13个生理指标。采用相关性分析、隶属函数分析、主成分分析、聚类分析和逐步回归分析对芍药耐热性进行综合评价并筛选耐热性鉴定指标。【结果】21个指标之间存在不同程度的变异,变异系数范围为6.66%—78.02%,变异系数具体表现为:过氧化氢酶(CAT)>过氧化物酶(POD)>净光合速率(Pn)>非光化学猝灭系数(qN)>超氧化物歧化酶(SOD)>气孔密度>栅栏/海绵组织>可溶性糖含量(SSC)>可溶性蛋白含量(SPC)>热害指数>SPAD>实际光合效率(Y(Ⅱ))>色相(b)>丙二醛(MDA)>非调节性能量耗散(Y(NO))>冠幅>叶片厚度>株高>相对电导率(REC)>有效光化学量子产量(Fv/Fm)>色度角(H),其中变异系数最大的为CAT,变异系数最小的为H;通过对各项指标进行相关性分析发现,X1(热害指数)与X2(株高)、X3(冠幅)、X4(SPAD)、X7(Fv/Fm)、X12(叶片厚度)、X17(SSC)呈极显著负相关,与X6(Pn)、X8[Y(Ⅱ)]、X13(气孔密度)、X20(CAT)呈显著负相关,与X5(REC)、X9[Y(NO)]、X16(MDA)、X18(SPC)呈极显著正相关,各指标之间存在不同程度的相关性,较为复杂;通过主成分分析法将21个指标提取为7个主成分因子,贡献率分别为20.50%、11.66%、8.24%、7.24%、7.06%、5.31%和4.85%,累计贡献率达到64.87%;利用隶属函数分析法计算出140个芍药品种的综合得分值(W),在此基础之上采用聚类分析将芍药品种分为“优”“良”“中”“差”4个耐热等级,其中“优”占比14.3%,“良”占比26.4%,“中”占比46.4%,“差”占比12.9%;进一步利用逐步回归分析建立最�【Objective】The multivariate statistical analysis method was used to evaluate the heat-tolerance of different herbaceous(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 throug

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 

分 类 号：S682.12[农业科学—观赏园艺]