Special Issue "Occurrence and Integrated Management of Mycotoxins"
Deadline for manuscript submissions: 30 June 2021.
Interests: mycotoxins; plant pathology; plant-microbe interactions; biological control; food safety; Integrated Management; biosensors
Agricultural products are frequently contaminated by mycotoxins, which cause the degradation of their quantity and quality and pose potential toxic and carcinogenic effects to humans and animals. Advanced integrated mycotoxin management systems are being developed in order to predict and avoid mycotoxin contamination at pre- or post-harvest stage in several crops. Their main principles rely on the combination of different methods such as 1) biological control using, for example, atoxigenic strains, yeasts, and bacteria, 2) chemical control by application of effective plant protection products, 3) application of predictive models for mycotoxin accumulation, 4) deployment of host resistant/tolerant varieties, 5) implementation of good agricultural practices and 5) the use of innovative methods for in time detection of mycotoxin-contaminated samples, such as biosensors and diagnostic tests.
In order to achieve the aim of developing modern methods for mycotoxin management, one of the most essential guidelines is the investigation of the occurrence and the population structure of mycotoxigenic fungi in the field in relation to the ongoing climate changes that can contribute to a comprehensive recording of the existing situation of the fungal dynamics in fields and orchards.
This Special Issue will cover advances in a combination of several strategies in an Integrated Pest Management program in order to manage successfully the mycotoxin(s) contamination of crops at pre- or post-harvest level in the form of original research or review papers. The contribution of Precision Agriculture and the use of smart systems to predict, detect, diagnose, quantify and finally manage mycotoxins in the field by Decision Support Systems are of ultimate importance in the developed IPM strategies. Finally, articles that describe novel tools like nanobody technologies, molecular technologies, hyperspectral imaging in conjunction with the use of drones that can be incorporated in pre-or post-harvest integrated management systems for mycotoxins are encouraged to be submitted. The application of modern integrated management systems can significantly help establishing food safety and security and raise the public health awareness regarding mycotoxins.
Prof. Dr. Dimitrios Tsitsigiannis
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Toxins is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Food safety
- Mycotoxin occurrence
- Mycotoxin monitoring
- Integrated Pest Management
- Biological control
- Chemical control
- Host resistance
- Predictive models
- Good agricultural practices
- Smart farming
- Precision Agriculture