摘要
利用电子鼻对胶孢炭疽菌(Colletotrichum gloeosporioides Penz.)、可可球二孢(Botryodiplodia theobromae Pat.)、芒果小穴壳(Dothiorella dominicana Pet.et Cif.)和芒果拟茎点霉(Phomopsis mangiferae Ahmad.)4种芒果采后病害病原菌发酵液的挥发性气味进行检测,以评估电子鼻用于芒果不同真菌病原菌种类判别的可行性。结果表明,对气味响应值进行的主成分分析(PCA)、线性判别分析(LDA)及聚类分析均能够正确区分不同病原菌种类。多因素方差分析(MANOVA)结果显示,不同病原菌之间的差异显著(p<0.05)。结果为芒果采后病原菌种类判别提供新的方法,为其他病原菌的种类判别提供参考。
Electronic nose was used to detecte and classify four common postharvest diseases pathogens of mango fruit:Colletotrichum gloeosporioides Penz.,Botryodiplodia theobromae Pat.,Dothiorella dominicana Pet.et Cif.,and Phomopsis mangiferae Ahmad.Principal component analysis (PCA),linear discrimination analysis (LDA) amd cluster analysis (CA) of volatile profiles all could reveal four distinct groups corresponding to the four species.Multivariate analysis of variance (MANOVA) confirmed that the four pathogens were significantly different (p<0.05).The study showed the potential feasibility for the rapid species judgement of mango postharvest disease pathogens.
出处
《热带作物学报》
CSCD
北大核心
2014年第12期2455-2458,共4页
Chinese Journal of Tropical Crops
基金
公益性芒果行业科研专项经费项目(No.201203092-2)
中央级公益性科研院所基本科研业务费专项(No.2011hzs1J027、No.2011hzs1J004、No.2012hzs1J011、No.2014hzs1J004)
关键词
芒果
电子鼻
病原菌
主成分分析
线性判别分析
聚类分析
多因素方差分析
Mango Fruit
Electronic nose
Postharvest diseases pathogens of mango fruit
Principal component analysis
Linear discrimination analysis
Cluster analysis
Multivariate analysis of variance