Antibacterial activity of some plant-derived essential oils against plant pathogenic bacteria

Jamshidi, Nahid; Darvishnia, Mostafa; Bazgir, Eidi; Najafgholi, Hossein Mirzaei; Parizipour, Mohamad Hamed Ghodoum; Aeini, Milad

doi:10.1007/s41348-023-00765-1

J Plant Dis Prot

2023

DOI: 10.1007/s41348-023-00765-1

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Antibacterial activity of some plant-derived essential oils against plant pathogenic bacteria

Nahid Jamshidi

Mostafa Darvishnia

Eidi Bazgir

et al.

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2024

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Prediction of tomato plants infected by fungal pathogens at different disease severities using E-nose and GC–MS

Sun,

Zheng

2024

J Plant Dis Prot

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Disease is a serious problem in tomato plant, causing huge economic loss. Disease detection is the premise of protection. This paper employed Electronic nose (E-nose) and Gas Chromatography-Mass Spectrometer (GC-MS), as an auxiliary technique, to identify disease type and its severity in the tomato plant. A total of twenty-ve volatile constituents were identi ed using GC-MS, their concentrations were calculated and showed the difference in different groups. Furthermore, the results of E-nose and GC-MS were compared and showed a good correlation. Moreover, the possibility of E-nose in discriminating tomato plants infected with different types and severities of disease either respectively or together was proved based on both Principal Component Analysis (PCA) and Discriminant Functions Analysis (DFA). Then, Back-propagation neural network (BPNN) was introduced and showed that the correct classi cation rates were 98.3% for training set and 97.5% for testing set for predicting disease type and severity. This study demonstrates the feasibility of E-nose in detecting tomato plants with different disease types and severities. E-nose is an excellent technique for disease identi cation, which is very meaningful for prevention of disease spread and meets actual application needs.

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Prediction of tomato plants infected by fungal pathogens at different disease severities using E-nose and GC–MS

Sun,

Zheng

2024

J Plant Dis Prot

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Antibacterial activity of some plant-derived essential oils against plant pathogenic bacteria

Cited by 1 publication

References 37 publications

Prediction of tomato plants infected by fungal pathogens at different disease severities using E-nose and GC–MS

Prediction of tomato plants infected by fungal pathogens at different disease severities using E-nose and GC–MS

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