欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报

• 研究报告 • 上一篇    下一篇

黄瓜萌芽期和苗期耐冷性评价

苗永美1,2,宁宇1,曹玉杰1,沈佳1,庞欣1,崔利1,程春燕1,陈劲枫1**   

  1. (1作物遗传与种质创新国家重点实验室/南京农业大学园艺学院, 南京 210095; 2安徽科技学院生命科学学院, 安徽凤阳 233100)
  • 出版日期:2013-07-18 发布日期:2013-07-18

Evaluation of cucumber’s chilling tolerance at germination and seedling stages.

MIAO Yong-mei1,2, NING Yu1, CAO Yu-jie1, SHEN Jia1, PANG Xin1, CUI Li1, CHENG Chun-yan1, CHEN Jin-feng1   

  1. (1State Key Laboratory of Crop Genetics and Germplasm Enhancement/College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China; 2College of Life Science, Anhui Science and Technology University, Fengyang 233100, Anhui, China)
  • Online:2013-07-18 Published:2013-07-18

摘要: 选用13份黄瓜材料,研究萌芽期和苗期共12个指标与黄瓜耐冷性的关系,对材料进行耐冷性评价.结果表明: 17 ℃下的相对发芽率、相对发芽势、相对胚根长和相对活力指数在13份黄瓜材料中差异显著(P<0.05),并与黄瓜耐冷性的相关关系显著;苗期4 ℃处理2 d时各材料之间生理差异明显,冷害指数与恢复后成活率的相关性显著,而与总蛋白、电导率、超氧化物歧化酶(SOD)、过氧化物酶(POD)、过氧化氢酶(CAT)和抗坏血酸过氧化物酶(APX)活性的相关性不显著.通过聚类分析将黄瓜材料耐冷性分为3个等级,通过逐步回归分析建立了两个生育期黄瓜耐冷性方程,可根据置信区间估计值对黄瓜的耐冷性进行较好的评价.


 

关键词: 黄瓜, 耐冷性, 主成分分析, 逐步回归

Abstract: A total of 13 cucumber materials were used to study the relationships of cucumber’s chilling tolerance with the 12 growth indices at germination and seedling stages. There existed significant differences in the relative germination rate, germination index, hypocotyl length, and vigor index at 17 ℃ among the 13 materials (P<0.05), which also significantly correlated to the chilling tolerance. At seedling stage, the physiology among the materials after treated at 4 ℃ for 2 days had obvious difference. Chilling injury index had significant correlation with the survival rate after recovery, but less correlation with the soluble protein (SP) content, electric conductivity (EC), and superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), and ascorbate peroxidase (APX) activities. The chilling tolerance of the materials was classified into three levels by clustering analysis, and the cucumber’s chilling tolerance equations at the two stages were established through stepwise regression analysis. Based on confidence interval value, the chilling tolerance of cucumber could be well assessed.

Key words: cucumber, chilling tolerance, principal component analysis, stepwise regression.