摘要
本研究以27个苦瓜自交系4叶1心的幼苗为材料,预培养1 d后,置于39℃高温培养,观察其高温胁迫72 h后的热害情况,通过计算热害指数(TDG)筛选评价出高、中、低耐热性的苦瓜种质;从中选取6个不同耐热性的自交系,测定39℃胁迫0 h和48 h的株高(PH)、茎粗(SD)、鲜物质量(SFW)和干物质量(SDW)等形态学指标以及叶片相对叶绿素含量(SPAD)、电导率(REL)、过氧化物酶活性(POD)、过氧化氢酶活性(CAT)、超氧化物歧化酶活性(SOD)、丙二醛含量(MDA)、脯氨酸含量(Pro)和可溶性糖含量(SS)等生理指标;主成分分析上述12个指标的耐热系数(α),综合评价6个自交系材料的耐热性;利用逐步回归分析法建立耐热性评价数学模型获得苦瓜耐热性鉴定指标体系。结果表明:以TDG为依据,27个苦瓜自交系中有耐热型3个,中等耐热型18个,热敏型6个;6个不同耐热性材料的综合评价结果与热害指数鉴定结果基本一致;耐热性的评价数学模型为:Y=-0.426+0.049X1-0.011X2-0.009X3-0.018X4,利用建立的最优回归方程预测供试材料的耐热性,预测值与Y值基本一致。说明SFW(X1)、POD活性(X2)、CAT活性(X3)和SS含量(X4)这4个指标的耐热系数可以快速准确地评价苦瓜耐热性差异,可用作苦瓜耐热性鉴定指标。本研究筛选出苦瓜耐热种质并构建苦瓜耐热性评价体系,为海南夏季耐热苦瓜新品种选育提供依据。
In this paper,the seedlings of 27 inbred lines of bitter gourd with four leaves and one heart were used as ma-terials.After pre-cultivated one day,the seedlings were subjected to 39℃temperature stress.And the 27 germplasm resources were divided into three types:high heat resistance,medium heat resistance and heat sensitivity screened by the heat damage index(TDG)after 72 hours of high temperature stress.Among them,six inbred lines with different heat tolerance were selected to measure 12 morphological and physiological indexes subjected to 39℃stress for 0 h and 48 h,respectively,including plant height(PH),stem diameter(SD),plant fresh matter(SFW)and dry matter(SDW)and leaf relative chlorophyll content(SPAD),electrical conductivity(REL),peroxidase activity(POD),catalase activity(CAT),superoxide dismutase activity(SOD),malondialdehyde content(MDA),proline content(Pro)and soluble sugar content(SS).The comprehensive evaluation values were obtained by the principal component analysis of heat resistance coefficients(α)of 12 morphological and physiological indexes to evaluate heat resistance of the seedlings.The mathe-matical model of heat resistanc evaluation was established by the stepwise regression analysis to obtain the heat resis-tance evaluation index system of bitter gourd.According to TDG,among the 27 bitter gourd inbred lines,three were heat-resistant, 18 were medium-heat-resistant and six were heat-sensitive. A mathematical evaluation model of heat tol-erance of bitter gourd was established using the stepwise regression equation, which is Y=-0.426+0.049X1-0.011X2- 0.009X3-0.018X4. The established optimal regression equation was used to predict the heat resistance of the tested ma-terials, and the predictive values were basically consistent with the comprehensive heat tolerance value. Therefore, the heat resistance coefficients of SFW(X1), POD activity (X2), CAT activity (X3) and SS content (X4) could rapidly and ac-curately estimate bitter gourd heat resistance and were suggested to be used as evaluation
作者
林春妹
廖道龙
刘子凡
符厚隆
陈贻诵
LIN Chunmei;LIAO Daolong;LIU Zifan;FU Houlong;CHEN Yisong(Institute of Vegetables,Hainan Academy of Agricultural Sciences,Haikou,Hainan 571100,China;College of Tropical Crops,Hainan University,Haikou,Hainan 570228,China)
出处
《热带作物学报》
CSCD
北大核心
2024年第2期288-295,共8页
Chinese Journal of Tropical Crops
基金
省属科研院所技术创新专项(No.KYYS-2021-07)
三亚中国农业科学院国家南繁研究院南繁专项(No.YDLH05)。
关键词
苦瓜
耐热性
主成分分析
逐步回归法
bitter gourd(Momordica charantia L.)
heat resistance
principal component analysis
stepwise regression method
