Aflatoxins (AFs) are harmful secondary metabolites produced by various moulds, among which Aspergillus flavus is the major AF-producer fungus. These mycotoxins have carcinogenic or acute toxigenic effects on both humans and food producing animals and, therefore, the health risks and also the potential economic damages mounted by them have led to legal restrictions, and several countries have set maximum allowable limits for AF contaminations in food and feed. While colonization of food and feed and AF production by A. flavus are highly supported by the climatic conditions in tropical and subtropical geographic regions, countries in the temperate climate zones are also increasingly exposed to AF-derived health risks due to climate change. In the present study, we have reviewed the available mathematical models as risk assessment tools to predict the possibility of A. flavus infection and levels of AF contaminations in maize in a changing climatic environment. After highlighting the benefits and possible future improvements of these models, we summarize the current agricultural practices used to prevent or, at least, mitigate the deleterious consequences of AF contaminations
The study presents a systematic review of published scientific articles investigating the effects of interventions aiming at aflatoxin reduction at the feed production and animal feeding phases of the milk value chain in order to identify the recent scientific trends and summarize the main findings available in the literature. The review strategy was designed based on the guidance of the systematic review and knowledge synthesis methodology that is applicable in the field of food safety. The Web of Science and EBSCOhost online databases were searched with predefined algorithms. After title and abstract relevance screening and relevance confirmation with full-text screening, 67 studies remained for data extraction, which were included in the review. The most important identified groups of interventions based on their mode of action and place in the technological process are as follows: low-moisture production using preservatives, acidity regulators, adsorbents and various microbiological additives. The results of the listed publications are summarized and compared for all the identified intervention groups. The paper aimed to help feed producers, farmers and relevant stakeholders to get an overview of the most suitable aflatoxin mitigation options, which is extremely important in the near future as climate change will likely be accompanied by elevated mycotoxin levels.
The development of an internet based electronic examination system at the University of Debrecen Centre of Agricultural Sciences, Department of Land Cultivation and Regional Development was enforced by the dynamic increase in the recent years in the number of students participating in classes taught by the department staff. This paper covers the system’s historical background, the usability factors we were focused on during its development, and the experiences of the testing phase.The findings of a questionnaire carried out among our students aimed to clarify the acceptance, expectations and fears of future users.
The University Debrecen Centre of Agricultural Sciences acts as the centre and co-ordinator of agrarian higher education and consultation in the eastern region of Hungary. New internet technologies afford new chances to accomplish the institute’s mission to develop agriculture, environment and countryside in the area. As the main framework of integrated e-learning, e-business and research in the agrifood sector the development of an internet portal, the „Centre of Agri-knowledge” (CAK) has been started in the recent past.To support our students and education, to stay continuous in touch with our agricultural engineers we consider very important to build internet communities, where students, farmers, traders and researchers can share their knowledge and experience.In Europe same as in Hungary agriportals born and disappear continuously. Although CAK is still in its early stage of development, its comprehensiveness, professional backend and the experience of the Centre of Agricultural Sciences guarantee a new standard of online services in the Hungarian agrifood sector
The findings below are based on a questionnaire survey carried out in order to establish an internet-based service at the Center of Agricultural Sciences of Debrecen University:• The typical target group of the service in the short run with a weekly average of 5.9 hours on the web is more active than that for average Hungarian, adult Internet users.• A professional webportal with a searchable database, primarily incorporating an archive of organized agricultural news, articles, publications, fits well into the internet habits of the target group, which mainly consists of keyword-based information searces and browsing of the latest news.• The group prefers a short, easily recognizable domain name that refers to agriculture. Accents and foreign sounding words are not taken into account during selection.• As result of the choice from 43 eligible domains, the order would be the following: agrarunio, agroland, farmvilag, infoagro, farmland.• The names of magyargazda.hu, agrotrend.hu, agromester.hu, agronomus.hu are acceptable from the individual ideas.
This paper describes a dynamic map representation method which provides a flexible, spectacular and cost-effective opportunity for the illustration and description of spatial data due to its parametrability, web-based publication and the free sowftare it uses in multi-user circumstances. The tasks of the database serves and the processing were performed by an ASUS WL-500 G Premium v2 router and a 80 GB hard disk. The database contains the measured data of the nitrogen fertilisation experiment established on the Látókép Experiment Site of the Centre for Agricultural Sciences of the University of Debrecen. The tests showed that the generation time of the processor which was run through the router did not significantly increase. Therefore, the configuration developed by us is suitable for users who do not wish to invest into a large and expensive server, but they still want to view their data quickly and easily, as well as to reach them from anywhere. The available data were not sorted into a database which was performed with Quantum GIS in a way to have an optimum database structure which is adjusted to the expected areas of use and the expected running speeds were also taken into consideration. The processor which processes the database items was written in PHP language. The main role of the processor is that it produces a KML file real time which is suitable for viewing with a given map viewer client (e.g. Google Earth). This application makes it possible to view information related to geographical objects, values stored in the database or those calculated by the processor on a map in 2D or 3D in a versatile way.
The toxins produced by Aspergillus flavus can significantly inhibit the use of maize. As a result of climate change, toxin production is a problem not only in tropical and subtropical areas but in an increasing number of European countries, including Hungary. The effect of meteorological factors and irrigation on mould colonization and aflatoxin B1 (AFB1) mycotoxin production by A. flavus were investigated in natural conditions, as well as the inoculation with a toxigenic isolate in a complex field experiment for three years. As a result of irrigation, the occurrence of fungi increased, and toxin production decreased. The mould count of fungi and toxin accumulation showed differences during the examined growing seasons. The highest AFB1 content was found in 2021. The main environmental factors in predicting mould count were temperature (Tavg, Tmax ≥ 30 °C, Tmax ≥ 32 °C, Tmax ≥ 35 °C) and atmospheric drought (RHmin ≤ 40%). Toxin production was determined by extremely high daily maximum temperatures (Tmax ≥ 35 °C). At natural contamination, the effect of Tmax ≥ 35 °C on AFB1 was maximal (r = 0.560–0.569) in the R4 stage. In the case of artificial inoculation, correlations with environmental factors were stronger (r = 0.665–0.834) during the R2–R6 stages.
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