摘要
为探究紫外线辐照对栽培营养废液中尖孢镰刀菌的抑菌效果以及营养成分的影响,以2种典型真菌即黄瓜和番茄专化型尖孢镰刀菌为材料,采用1.3、2.7、3.8 mW·cm-2 3种辐照强度和1、3、5 min 3个辐照时间对营养废液进行灭菌试验.结果表明,在离体培养下,紫外线对2种病原真菌有明显抑制效果,且随着辐照剂量增加,菌丝生长缓慢,菌落形态皱缩,孢子生殖量及萌发率降低,在最高剂量1 140 mJ·cm-2(3.8 mW·cm-2、5 min)下实现100%抑菌率;同样在接种营养液下最高剂量处理显著抑制菌孢生长,杀灭率达到95%以上.经最高剂量紫外辐照后2种营养液中有机物去除率分别为92.3%、83.3%,而全氮、全磷含量无明显变化,表明紫外辐照在实现有效抑菌的同时易造成营养液中有机质损失而影响其后续的循环利用.以上研究结果为紫外杀菌技术在设施园艺栽培循环系统的应用提供基础数据.
Abstract
To evaluate the antifungal effect of Fusarium oxysporum and composition of ultraviolet irradiation on nutritional wastewater,taking 2 typical fungi,Fusarium oxysporium f.sp.Cucumerinum and Fusarium oxysporum f.sp.Lycopersici as materials,and the sterilization experiment of nutrient wastewater was conducted,which 3 different levels of irradiation intensity according to 1.3,2.7,3.8 mW·cm-2,and 3 irradiation time applications including 1,3,5 min were carried out.The results showed that,UV irradiation had obvious antifungal effect on 2 kinds of pathogenic fungi in vitro culture,and with the increase of irradiation dose,the mycelium grew slowly,the colony morphology shrank,the spore reproduction and the germination rate decreased,and 100%sterilization rate was achieved at the highest dose of 1 140 mJ·cm-2(3.8 mW·cm-2,5 min).Similarly,the highest dose treatment under the inoculated nutrient solution significantly inhibited the growth of spores and reached a killing rate of more than 95%.In addition,after the highest dose of UV irradiation,the removal rates of organic matter in the 2 nutrient solutions were 92.3%and 83.3%,respectively,while the contents of total nitrogen and total phosphorus did not change significantly,which indicated that while UV irradiation could effectively disinfect,it would easily trigger the loss of organic matter in nutrient solution and affect its subsequent recycling.Above results provided basic data for the application of ultraviolet sterilization technology in the circulation system of facility horticulture.
基金项目
中国农业科学院都市农业研究所基本科研业务费专项所级统筹项目(S2022002)
国家奶牛产业技术体系项目(CARS-36)
中国农业科学院科技创新工程项目(ASTIP-IUA-2022001)
国家科技期刊平台
NSTL
万方数据