| 电子鼻在芒果采后病原菌种类判别中的应用研究 |
| |
| 引用本文： | 李敏,胡美姣,张正科,梁秋南,杨冬平,陈亮,郑淑英,高兆银.电子鼻在芒果采后病原菌种类判别中的应用研究[J].热带作物学报,2014,35(12):2455-2458. |
| |
| 作者姓名： | 李敏 胡美姣 张正科 梁秋南 杨冬平 陈亮 郑淑英 高兆银 |
| |
| 作者单位： | 1. 中国热带农业科学院环境与植物保护研究所 农业部热带作物有害生物综合治理重点实验室 农业部热带农林有害生物入侵监测与控制重点开放实验室 海南省热带农业有害生物监测与控制重点实验室 海南海口571101
2. 海南大学环境与植物保护学院,海南海口,570228 |
| |
| 基金项目： | 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）。 |
| |
| 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(p0.05)。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。
|
| 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 |
The Use of Electronic Nose to Classify the Postharvest Diseases Pathogens of Mango Fruit |
| |
| LI Min,HU Meijiao,ZHANG Zhengke,LIANG Qiunan,YANG Dongping,CHEN Liang,ZHENG Shuying and GAO Zhaoyin.The Use of Electronic Nose to Classify the Postharvest Diseases Pathogens of Mango Fruit[J].Chinese Journal of Tropical Crops,2014,35(12):2455-2458. |
| |
| Authors: | LI Min HU Meijiao ZHANG Zhengke LIANG Qiunan YANG Dongping CHEN Liang ZHENG Shuying and GAO Zhaoyin |
| |
| Institution: | LI Min;HU Meijiao;ZHANG Zhengke;LIANG Qiunan;YANG Dongping;CHEN Liang;ZHENG Shuying;GAO Zhaoyin;Environment and Plant Protection Research Institute, CATAS / Key Laboratory of Pests Comprehensive Governance for Tropical Crops, Ministry of Agriculture / Key Laboratory of Monitoring and Control of Tropical Agricultural and Forest Invasive Alien Pests,Ministry of Agriculture / Key Laboratory for Monitoring and control of Tropical Agricultal Pests;College of Environment and Plant Protection,Hainan Univerity; |
| |
| Abstract: | 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. |
| |
| Keywords: | Mango Fruit Electronic nose Postharvest diseases pathogens of mango fruit Principal component analysis Linear discrimination analysis Cluster analysis Multivariate analysis of variance |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《热带作物学报》浏览原始摘要信息 |
| 点击此处可从《热带作物学报》下载免费的PDF全文 |
