Search Results (119)

The primary aim of this study was to explore the influence of abiotic factors on weed development in maize fields, with the goal of informing more effective weed management practices. We focused on identifying key environmental, edaphic, and agricultural variables that contribute to weed infestations, particularly before the application of spring herbicide treatments. Field investigations were conducted from 2018 to 2021 across selected maize-growing regions in Hungary. Over the four-year period, a total of 51 weed species were recorded, with Echinochloa crus-galli, Chenopodium album, Portulaca oleracea, and Hibiscus trionum emerging as the most prevalent taxa. Collectively, these four species accounted for more than half (52%) of the total weed cover. Altogether, the 20 most dominant species contributed 95% of the overall weed coverage. The analysis revealed that weed cover, species richness, and weed diversity were significantly affected by soil properties, nutrient levels, geographic location, and tillage systems. The results confirm that the composition of weed species was influenced by several environmental and management-related factors, including soil parameters, geographical location, annual precipitation, tillage method, and fertilizer application. Environmental factors collectively explained a slightly higher proportion of the variance (13.37%) than farming factors (12.66%) at a 90% significance level. Seasonal dynamics and crop rotation history also played a notable role in species distribution. Nutrient inputs, particularly nitrogen, phosphorus, and potassium, influenced both species diversity and floristic composition. Deep tillage practices favored the proliferation of perennial species, whereas shallow cultivation tended to promote annual weeds. Overall, the composition of weed vegetation proved to be a valuable indicator of site-specific soil conditions and agricultural practices. These findings underscore the need to tailor weed management strategies to local environmental and soil contexts for sustainable crop production. Full article

As global climate change intensifies and the transition to clean energy accelerates, lithium-ion batteries—critical components of electric vehicles—are becoming increasingly vital in international trade networks. This study investigates the structural evolution and determinants of the electric vehicle lithium-ion battery trade network among European Union (EU) member states from 2012 to 2023, employing social network analysis and the multiple regression quadratic assignment procedure method. The findings demonstrate the transformation of the network from a centralized and loosely connected structure, with Germany as the dominant hub, to a more interconnected and decentralized system in which Poland and Hungary emerge as the leading players. Key network metrics, such as the density, clustering coefficients, and average path lengths, reveal increased regional trade connectivity and enhanced supply chain efficiency. The analysis identifies geographic and economic proximity, logistics performance, labor cost differentials, energy resource availability, and venture capital investment as significant drivers of trade flows, highlighting the interaction among spatial, economic, and infrastructural factors in shaping the network. Based on these findings, this study underscores the need for targeted policy measures to support Central and Eastern European countries, including investment in logistics infrastructure, technological innovation, and regional cooperation initiatives, to strengthen their integration into the supply chain and bolster their export capacity. Furthermore, fostering balanced inter-regional collaborations is essential in building a resilient trade network. Continued investment in transportation infrastructure and innovation is recommended to sustain the EU’s competitive advantage in the global electric vehicle lithium-ion battery supply chain. Full article

The eastern imperial eagle (Aquila heliaca) has shown a marked population increase in the past decades in Hungary. The breeding range is expanding towards homogeneous agricultural habitats of the Hungarian Plain, where the already existing and recently growing infrastructural network is thought to be one of the main factors limiting distribution. We used data from 508 breeding attempts between 1989 and 2008 to assess the effects of infrastructural networks on breeding distribution. We constructed a single cumulative infrastructure effect (CIE) variable based on the avoidance of different infrastructure types by eagles in the past 20 years. Conditional autoregressive models were built in a Bayesian framework to quantify the effects of infrastructures on the spatial breeding pattern in a pre-defined core study area. Both multivariate and CIE models were able to classify the presence of breeding attempts with high accuracy. The CIE variable was used to build a predictive distribution model for the Hungarian Plain. The results suggest that infrastructure has a significant local effect but does not necessarily hinder the future range expansion of imperial eagles, as two-thirds of the prediction area seems to be suitable for the species. The methods and results described enable conservation managers and policy makers to assess the trade-off between infrastructural development and nature conservation priorities. Full article

This study examines patient access to orphan medicinal products (OMPs) in Central and Eastern Europe (CEE) over the past five years, focusing on seven countries: Bulgaria, Czechia, Hungary, Poland, Romania, Slovakia, and Slovenia. While these jurisdictions have undergone rapid healthcare transformations, significant disparities in OMP access persist compared to Western Europe. This study aimed to address this gap by identifying barriers and enablers to optimize patient access to OMPs in a sustainable and equitable manner. A mixed-methodology approach was utilized, combining systematic literature reviews, in-depth interviews, and advisory board insights. Perspectives were gathered from a wide range of stakeholders, including policymakers, payers, academia, industry associations, and patient advocacy groups. Additionally, the study incorporated data from CEE-specific initiatives to triangulate findings and evaluate barriers, enablers, and best practices in OMP access. The analysis identified sub-optimal OMP access across most CEE countries, marked by prolonged delays and lower reimbursement rates compared to Western Europe, with Slovenia and Czechia as notable exceptions. Key barriers include limited awareness, inadequate health technology assessment (HTA) frameworks, insufficient financing mechanisms, underutilization of novel access schemes, and fragmented patient engagement. Conversely, enablers include the presence of rare disease policies, OMP-specific HTA frameworks, and patient-inclusive decision-making processes. Full article

This study examines the impact of structural characteristics of agricultural holdings on their agricultural performance and contribution to rural development in EU countries over the past decade to identify potential measures to enhance rural development. The results of the paired samples t-test reveal a structural shift in EU agriculture between 2010 and 2020 toward larger, more productive, and capital-intensive farms alongside a decline in small-scale and subsistence farming, improved agricultural incomes, and rural economic growth. However, persistent challenges such as rural depopulation, declining employment, and ongoing poverty remain. A cluster analysis identified five distinct agricultural models and reflects some notable transitions: Eastern European countries increasingly moved toward mixed farming (e.g., Latvia, Lithuania, and Hungary) or large-scale commercial farming (e.g., the Czech Republic, Estonia, and Slovakia), subsistence and small-scale farming became more concentrated in Bulgaria and Romania, and Western and Northern countries maintained high levels of modernization, with Ireland progressing and the Netherlands standing out as a distinct high-tech agricultural model. The five distinct agricultural clusters identified underline the need for regionally tailored policies. Hierarchical regression shows that while improvements in agricultural performance, particularly increased labor productivity, contribute to rural GDP per capita growth, they have a limited impact on rural poverty. Therefore, enhancing sustainable rural development requires more comprehensive and integrated strategies that not only promote productivity-driven agricultural reforms and innovation in advanced systems but also address the specific needs of lagging countries through structural transformation, capacity building, and targeted support. Full article

This study explores the relationship between abiotic factors, farming practices, and weed growth in winter wheat fields in Eastern Hungary. It examines the order of weed dominance and the influence of soil, environmental, and agricultural variables on weed composition and diversity before herbicide application. The research was conducted across four sub-regions in the Great Hungarian Plain, each with distinct soil, hydrological, and geographical conditions. Between 2018 and 2021, 103 fields were surveyed and weed species cover was recorded using EPPO-based identification and quadrat sampling. Soil properties, environmental conditions, and farming practices were documented through soil analysis, geographical data, and farmer interviews. Statistical analyses were preformed including ANCOVA, redundancy analysis, and Shannon diversity index calculations. The results show that common weed species include Veronica hederifolia, Stellaria media, and Apera spica-venti, with winter annuals dominating. Soil compaction and salinity affected weed diversity, while increased copper and zinc concentrations had minor effects on weed coverage. Farming practices, particularly tillage systems and fertilizer use, had a significant effect on species richness and diversity. Different regional and annual weed distributions were observed, with correlation between certain tillage systems and specific weed species. The results emphasize the need for climate-conscious farming practices, and we recommend prioritising shallow cultivation and deep loosening over ploughing in order to manage weed populations effectively. These insights contribute to sustainable weed management strategies in cereal production. Full article

Heartworm disease—caused by Dirofilaria immitis—is an emerging mosquito-borne zoonotic disease with potentially fatal outcomes in dogs. Due to factors such as climate change, animal importation, and animal transport, the prevalence of the infection has increased in countries in Central and Eastern Europe, where the parasite was not detected before. The first autochthonous case of D. immitis in dogs in Hungary was reported in 2009. This study assessed the prevalence of D. immitis infection and the associated risk factors in domestic dogs in Hungary. A total of 1071 blood samples were collected between March 2023 and February 2024 and were tested using Knott’s test, ELISA, and real-time PCR method. The countrywide prevalence of D. immitis was 17.0%, suggesting a continuous increase in the parasite’s spread compared to the previously reported 11.3% prevalence, with age and spending time outdoors being the main risk factors. These results highlight the ongoing need for preventive measures against heartworm disease. Full article

Peste des Petits Ruminants (PPR) is a highly contagious viral disease of small ruminants that severely threatens rural livelihoods and global food security. Under the Global Framework for the Progressive Control of Transboundary Animal Diseases (GF-TADs), the international animal health community has set the ambitious goal of eradicating PPR by 2030. However, significant disparities persist in the progression of PPR control across regions. This scoping review assesses the setbacks, deviations, and progress of 42 countries in Eastern, Western, and Northern Africa, as well as West Eurasia, toward achieving official freedom-from-PPR status. Progress was evaluated across key areas using the stepwise PPR Global Control and Eradication Strategy (GCES) approach and the PPR Monitoring and Assessment Tool (PMAT). The eligibility criteria included PubMed peer-reviewed studies, FAO/WOAH reports, presentations, guidelines, and country/region-specific PPR control plans from 2014 through 2024. The data are generated using qualitative and quantitative analyses, including spatial mapping and GCES stepwise progress evaluation. The findings reveal that many (31%) countries in the assessed regions remain in Stage 1 of the Progressive Stepwise Approach, whereas 59.5% have reached Stages 2 and 3, and only 4.8% are in Stage 4. Countries in Western Eurasia have achieved significant progress towards PPR control, with countries achieving PPR-free status, whereas, compared to Eastern and Northern Africa, the Western African region remains in the early control stages due to infrastructure gaps and resource constraints. Additionally, the recent suspension of PPR-free status in Romania, Greece and Hungary following disease emergence underscored vulnerabilities in historically free countries. The analysis results reiterate the critical role of regional collaboration, surveillance tools, and the integration of wildlife monitoring in advancing PPR control. These insights provide actionable pathways to addressing persistent barriers, highlighting the importance of adaptable, evidence-based approaches in achieving the global goal of PPR eradication by 2030. Full article

Food security is a fundamental global challenge with significant regional implications, particularly in Eastern Europe. Romania and its neighboring countries—Bulgaria, Hungary, Serbia, Ukraine, and Moldova—face interconnected challenges related to food availability, access, stability, and utilization. This study assesses Romania’s food security in relation to its neighbors using FAO-defined indicators for each of these four pillars. The analysis is based on the latest FAO data. It applies two complementary analytical methods: comparative analysis, which evaluates Romania’s food security indicators in relation to average values in neighboring countries, and statistical significance testing, using One-sample t-tests and Wilcoxon signed-rank tests to determine whether the observed differences are statistically significant. The results indicate that Romania benefits from high food availability and a developed irrigation infrastructure but faces challenges related to severe food insecurity, economic disparities, and public health issues such as obesity. Despite a higher GDP per capita than its neighbors, food insecurity rates remain concerning, pointing to underlying socio-economic inequalities. The results highlight the need for coordinated public policies that go beyond increasing food availability to reducing regional disparities, improving equitable access to nutritious food, and promoting sustainable patterns of production and consumption. The study proposes a multidimensional and scientifically sound approach that addresses structural inequalities, strengthening the resilience of food systems and the importance of regional cooperation in Eastern Europe. These contributions add to the current international discussions on sustainable food security and provide concrete recommendations for future action. Full article

One of the foremost challenges in today’s global economy is ensuring energy security for individual countries and regions. In the contemporary context, this security plays a pivotal role in ensuring sovereignty, fostering innovation, and bolstering competitiveness, particularly in knowledge-based economies. The pursuit of energy independence while mitigating adverse environmental impacts stands as a key priority in European Union policy. Efforts towards achieving a zero-carbon economy encompass all member states, including those in Central and Eastern Europe (CEE). This paper delves into this pressing issue by evaluating the sustainable energy security and policy efficiency of CEE countries over a 15-year period. This research employed a well-defined methodology, employing a multidimensional approach to address the complexity of the issue. The outcome of this approach was the development of the Sustainable Energy Security Index (SESI) for the countries under study, serving as a benchmark for evaluating energy security and policy effectiveness. Multiple Multi-Criteria Decision-Making (MCDM) methods, including COPRAS, EDAS, MAIRCA, and the Hurwicz criterion, were utilized to determine the SESI value. Additionally, CRITIC, equal weights, standard deviation methods, and Laplace’s criterion were employed to ascertain the weights of the indices characterizing various dimensions of sustainable energy security. The findings reveal significant disparities in energy security and policy implementation effectiveness among CEE countries. Slovenia, Croatia, Latvia, Romania, and Hungary demonstrated notably strong performance, while Poland and Bulgaria lagged behind. These results underscore the necessity of integrating findings into the energy and climate strategies of both CEE countries and the EU-27 as a whole. Full article

The interspecific relations that have been previously observed within the Stipa dasyphylla group are intricate and require further clarification. The aim of this study was to determine whether the specimens from Serbia deserve a separate taxonomic status. Various “dasyphyllous” Stipa species (those with hairy adaxial leaves) from the Balkan Peninsula were collected and analysed using morphological methods and microscopic observations of the macro- and micro-ornamentation of their leaves and lemmas. Based on analyses of 160 individuals from 17 populations belonging to three “dasyphyllous” Stipa species (S. pontica, S. ucrainica, and S. dasyphylla) which were collected in the central and eastern Balkan Peninsula (Serbia, North Macedonia, Bulgaria, Greece) and in Central Europe (Czech Republic, Slovakia, Hungary, Romania), Stipa stevanoviciorum is described as a new species from Serbia. This taxon includes the subspecies stevanoviciorum, which grows on ultramafic substrates, and the subspecies pseudodasyphylla, which is found on carbonate bedrock. These taxa differ from the closely related S. dasyphylla primarily in the length of their upper cauline leaves and the distance from the end of the dorsal line of the hairs to the top of the anthecium. The ecological and biogeographical characteristics of the taxa and a morphological comparison with similar species are given together with the key to the species’ identification. Images of key morphological characters are included, along with information on their distribution, habitat, and conservation implications. Full article

Precision agriculture techniques, such as variable rate seeding (VRS) and hybrid switching, play an important role in optimizing crop yield and reducing input costs. This study evaluates the effectiveness of hybrid switching and the application of VRS technology in maize production, focusing on the accuracy of seeding rate and hybrid placement under varying field conditions. Conducted over two years, the research compares the performance of a precision planting system in flat (2023) and hilly (2024) terrain in north-eastern Hungary. The study examines seed placement uniformity, furrow quality and seed drop rates, with a focus on how terrain affects the success of these operations. A data analysis shows that hybrid switching and VRS result in better seed placement and more uniform furrows in downhill operations, with lower seed drop rates compared to uphill operations. In addition, the paper discusses the importance of accurate seeding equipment calibration and data cleaning. The findings highlight the critical need for accuracy and reliability in precision agriculture and provide insights to improve future crop management strategies and ensure sustainable farming practices. The study evaluates the accuracy of hybrid switching in maize across different terrain types and its impact on operational efficiency. The results show variation in hybrid switching distances, with an average transition length of 5.1 m on flat terrain, 5.80 m on uphill, and 4.22 m on downhill. The longest transitions occurred on uphill terrain due to increased mechanical adjustment delays, while the shortest transitions were observed on downhill slopes where seed flow remained more stable. The results highlight the importance of terrain-adaptive control mechanisms in precision planting systems to minimize transition delays, improve seed placement accuracy, and increase overall yield potential. Full article

Efficiency is one of the tenets in assessing the financial health of an enterprise. Ultimately, the form of asset management has a major impact on growth but also on the decline of profit. It also reveals how the enterprises are positioned within the competitive market environment. For this reason, the aim of this article is to define the level of business activity in the Visegrad Four in the pre-crisis, during-crisis and post-crisis periods of the COVID-19 pandemic. The investigation included 48,650 enterprises from Slovakia, Czechia, Poland, and Hungary over the period 2017–2023. We determined the median values of eleven business efficiency indicators separately for each country and sector. The Friedman test and Kruskal–Wallis test confirmed significant differences between years and countries. Furthermore, multiple pairwise comparisons revealed analogies between the pre-crisis and post-crisis periods, as well as similarities between the two pandemic years for the tested ratios. One can observe that the results serve as the foundation for regional and international benchmarks, particularly for enterprises from former Eastern Bloc countries. Full article

The economic transformation following the collapse of the Eastern Bloc and the accession of Central and Eastern European (CEE) countries to the European Union (EU) are milestones that have set the current course for their agricultural sectors. With their accession to the EU, the CEE countries obliged, among other things, to adapt their agricultural activities to the requirements of the common organization of agricultural market and the Common Agricultural Policy (CAP). In 2004, the agricultural sectors of Central and Eastern European countries (the Czech Republic, Estonia, Hungary, Lithuania, Latvia, Poland and Slovakia), and in 2007, the agricultural sectors of Bulgaria and Romania, were significantly different from those of the EU countries. After almost two decades in EU structures and in the face of climate challenges, it is interesting to discuss the assessment of changes that have taken place in the agricultural sectors of CEE countries and their future. Based on FADN data, the structure of agricultural sectors in Central and Eastern Europe and selected EU countries for 2004–2021 was estimated in terms of types of farming and economic size classes. The agricultural sectors of CEE countries have become similar to those of EU countries in terms of agricultural production structure, and in 2021 will be characterized by a higher level of production specialization than when they accessed the EU. There was also an increase in the economic size of their production, but it was still significantly lower compared to the economic size of farms in EU countries. In light of the goals of the European Green Deal (EGD), this observation may be useful for moving into the next stage of development of the agricultural sector in Central and Eastern Europe. Indeed, achieving the EGD’s goals will require setting adopted development directions, i.e., formulating agricultural practices that facilitate the transition to more sustainable agriculture, such as practices based on the concept of sustainable intensification or ecological intensification. Full article

The populations and distribution areas of large carnivores have declined all over the world due to extirpation and habitat alteration and degradation. However, the grey wolf (Canis lupus) has recovered in Europe in recent decades and has been reappearing in Hungary since the 1990s. Since the dominant prey of this carnivore is the red deer (Cervus elaphus) and the wild boar (Sus scrofa) in Central and Eastern Europe, we aimed to study the impact of wolves on local deer populations. Based on hunters’ opinions, we expected an increasing wolf presence and intense effects of wolves on the stress level and body condition of deer. First, we examined the occupied area by wolf in the North Hungarian Mountains. The distribution map was based on a questionnaire among the game managers. To measure the influence of the reappearing predator population on the red deer individuals, we estimated the body condition (kidney fat and bone marrow index) and stress hormone level of faecal samples. We compared them between the areas colonised by wolves and control sites in the mountains. We revealed an increased distribution area of wolves in the mountains since 2014. The stress hormone level was lower in the wolf-free sites in the case of faeces gathered from the ground, but there was similar amount of cortisol in the samples collected from the hunted animals. The body condition indices were not different between the two area types (average kidney fat index > 100% and almost 100% for the bone marrow fat content). Our results do not support a very intense recent impact of the wolf population on the body condition and stress level of red deer in Hungary. Full article