| Title: | Preliminary Studies on Detection of Fusarium Basal Rot Infection in Onions and Shallots Using Electronic Nose |
| Author(s): | Labanska M; van Amsterdam S; Jenkins S; Clarkson JP; Covington JA; |
| Address: | "The Plant Breeding and Acclimatization Institute-National Research Institute, Radzikow, 05-870 Blonie, Poland. Warwick Crop Centre, School of Life Sciences, University of Warwick, Wellesbourne, Warwick CV35 9EF, UK. School of Engineering, University of Warwick, Coventry CV4 7AL, UK" |
| ISSN/ISBN: | 1424-8220 (Electronic) 1424-8220 (Linking) |
| Abstract: | "The evaluation of crop health status and early disease detection are critical for implementing a fast response to a pathogen attack, managing crop infection, and minimizing the risk of disease spreading. Fusarium oxysporum f. sp. cepae, which causes fusarium basal rot disease, is considered one of the most harmful pathogens of onion and accounts for considerable crop losses annually. In this work, the capability of the PEN 3 electronic nose system to detect onion and shallot bulbs infected with F. oxysporum f. sp. cepae, to track the progression of fungal infection, and to discriminate between the varying proportions of infected onion bulbs was evaluated. To the best of our knowledge, this is a first report on successful application of an electronic nose to detect fungal infections in post-harvest onion and shallot bulbs. Sensor array responses combined with PCA provided a clear discrimination between non-infected and infected onion and shallot bulbs as well as differentiation between samples with varying proportions of infected bulbs. Classification models based on LDA, SVM, and k-NN algorithms successfully differentiate among various rates of infected bulbs in the samples with accuracy up to 96.9%. Therefore, the electronic nose was proved to be a potentially useful tool for rapid, non-destructive monitoring of the post-harvest crops" |
| Keywords: | Electronic Nose *Fusarium Onions/microbiology Plant Diseases/microbiology *Shallots Fusarium oxysporum fungal disease onions pattern recognition plant pathogen detection volatile organic compounds; |
| Notes: | "MedlineLabanska, Malgorzata van Amsterdam, Sarah Jenkins, Sascha Clarkson, John P Covington, James A eng PPN/BEK/2020/1/00383/POLISH NATIONAL AGENCY FOR ACADEMIC EXCHANGE/ Switzerland 2022/07/28 Sensors (Basel). 2022 Jul 21; 22(14):5453. doi: 10.3390/s22145453" |
