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Pomelo peels, often overlooked in food processing, generate significant byproducts, especially in minimal processing setups. Rich in bioactive compounds, particularly in the green peel or flavedo, these peels offer versatile applications. This study focuses on two main aspects. Firstly, the characterisation of the Citrus maxima (Burm.) Merr. pomelo flavedo extract was carried out, with its phenolic composition and activities such as antioxidant, and antifungal properties assessed. Secondly, the impact of applying a pectin film enriched with this extract on pomelo storage at 8 °C was evaluated. The extract has a diverse phenolic composition, including catechin, chlorogenic acid, rutin, ellagic acid, quercitrin, quercetin, apigenin, and gallic acid, with gallic acid being the most concentrated at 54 mg·g^–1. While the extract showed free radical-scavenging activity, it was less effective than vitamin C; the extract also demonstrated antifungal effects on 7 mold and 1 yeast strains. The extract-infused pectin coating significantly reduced colour changes, respiration intensity, and weight loss in Citrus maxima (Burm.) Merr. pomelo. Additionally, it preserved ascorbic acid, total soluble solids, and titratable acidity content. Sensory evaluations favoured pomelo preserved with the supplemented coating over both pre-preserved and untreated samples.

The presence of immature coffee beans reduces the quality of the coffee brew. This study evaluated how the acetic acid affected the aroma and taste of immature compared to mature Robusta coffee. The naturally processed immature Robusta green beans were immersed in acetic acid (0–5%) for 30–90 min. The naturally processed mature Robusta green beans were used as a control treatment. The samples were roasted at a medium level (240 °C, 14 min). The sensory analysis was evaluated by the cupping test by a trained and certified panellist (Q-Grader). Acetic acid immersion significantly improved the sensory quality of immature beans (P < 0.05). Specifically, immersion in 3% acetic acid for 90 min yielded the highest sensory score of 84.92. According to the Coffee Quality Institute (CQI) classification, this score falls into the 'Fine' Robusta classification. The 0% 30-min, 3% 30-min, and 3% 90-min treated immature samples and an untreated control mature sample were analysed for pH, caffeine, chlorogenic acid, and volatile compounds. The treatment significantly decreased the chlorogenic acid (P < 0.05) and increased the volatile compound concentration of furans, ketone, pyrrole, aldehyde, and ester while decreasing pyrazines, sulphur, phenol, and alcohol. This study effectively enhanced immature Robusta taste and aroma quality to a degree comparable with mature Robusta coffee beans.

This article focuses on the development possibilities of the venison market in the Czech Republic. The main factors affecting the primary game market were investigated, both production limitations on the side of the hunters and on the side of the game production purchase prices. These factors were analysed in the context of the consumer prices of general meat production and the purchase prices of common meat (beef, pork). Furthermore, the size of the total game market was estimated, taking into account the export and import of this commodity. The potential venison market size for the Czech Republic was also established in the study. The gap between the development of the market consumer prices and purchase prices of the venison was analysed. The conducted research further revealed that the respondents do not perceive a relationship between the production of venison and the protection of forest ecosystems. With few exceptions, they do not realise that by buying and consuming venison, they can contribute to the support of forestry. Furthermore, the perception of the role of the forest environment in relation to game meat by the public does not correspond to the need to regulate the game density to limit damage to forest stands. The results of this research are recommendations which mainly consist in expanding the offer of the primary production to products significantly closer to the consumer market (moving from a producer market to a consumer market), and the implementation of activation campaigns (tastings, presentations of opinion makers). At the same time, our work revealed the need for further development, and by increasing the value for the customer who, with the appropriate marketing strategy, can perceive this product as a premium organic food through which they contribute to sustainable forest management.

To investigate the impact of different seedling transplanting times on rice growth, the present study evaluated seedling age and root pruning using treatments consisting of root pruning (RC20, RC30, and RC40) and no root pruning (CK20, CK30, and CK40). Quantitative analysis using curve fitting of the changes in dry matter accumulation (DMA) during the seedling and field stages was performed, and the changes in root parameters during the re-greening stage were observed. The results showed that the seedling stage could be divided into a gradual increase period, a rapid increase period, and a slow increase period. Transplanting at different time periods resulted in different transplanting shock effects. During the field stage, the DMA exhibited a slow-fast-slow "S" shaped curve as the developmental time progressed. However, significant differences were observed in growth parameters among the different treatments. Root injury promoted early maturity in young seedlings but also prolonged the whole growth period in older seedlings. The inhibitory effect of root pruning on rice root growth increased with young seedling age. The present results provide a theoretical basis for the design of seedling needle structure and the optimisation of rice seedling cultivation practices.

Near-Infrared (NIR) spectrometry has emerged as a promising tool for the non-destructive and rapid analysis of temperate fruit quality, maturity, and other parameters. The technique provides a wealth of information, including details of chemical composition, without damaging the fruit, making it a highly viable alternative to traditional methods. This paper reviews the recent research and applications of NIR spectrometry for fruit evaluation, highlighting its strengths and potential limitations. The analysis shows a significant potential for NIR spectrometry, especially when combined with machine learning and artificial intelligence to handle complex data and improve predictive models. The development of portable NIR spectrometers allows for in-situ quality assessment, expanding its applicability to various fields including on-site quality control. Despite the benefits, this review identifies key challenges including spectral complexity, fruit variability, and the influence of the external environment. Recommendations for future research include focusing on improving calibration and validation of models, increasing predictive accuracy, and developing user-friendly instruments. In addition, standardization of measurement procedures and analytical methods is needed to ensure comparability and reproducibility of results. Further research is needed to fully realize the full potential of NIR spectrometry in fruit quality control.

In Central Europe, the most important pioneer species are silver birch and European aspen. Changes in disturbance regime and an economic interest for this species have led to studies on this species and stands. Two naturally regenerated dense stands of birch (Betula pendula Roth – silver birch monoculture) and aspen (Populus tremula L. – European aspen monoculture) were selected from a Querceto – Fagetum mesotrophicum site to observe responses under the same conditions in Central Europe. Both stands regenerated after the allochthonous Norway spruce stands dieback at the site in 1999. Within a 10 m × 25 m transect established in both stands, the diameter at breast height (DBH) of all the trees was measured between 2015 and 2020. In addition, the height and position were recorded for all trees, and sample trees of both species were felled for biomass measurement. A higher volume production of aspen at the beginning (107.48/96.80 m³) and at the end of the experiment (178.32/143.08 m³) was accompanied with a lower above-ground wood biomass (WAB). The WAB of birch increased from 81.9 t·ha^–1 to 103.3 t·ha^–1 and aspen allocated 79.5 t·ha^–1 to 94.8 t·ha^–1 of biomass. The current annual increment of biomass for these stands was 4.3 t·ha^–1 and 3.1 t·ha^–1 in the age range of 17 to 22 years. The culmination of the volume increment has not yet occurred in any of the stands, but the mean annual increment of wood biomass has already been reached for both stands. Furthermore, the aspen stand tended to be more dynamic in terms of biomass allocation and mortality. Also, the lower self-tolerance of aspen confirmed our hypothesis: the two native pioneer species differ in their social behaviour within monospecific stands.

Seed deterioration resulting from production and storage factors is the major cause of differences in the seed vigour that results in low seedling emergence in both the laboratory and in the field. An experiment was conducted to evaluate the effect of seed invigoration by osmo-conditioning on the radicle emergence and the physiological parameters of naturally deteriorated seed lots of the true seed of shallots. The experiments were arranged in a completely randomised design with a repeated measurement for radicle emergence and a randomised complete block design for seedling vigour in the field with four replicates. The results indicated that the radicle emergence of the invigorated seed with ZnSO₄ correlated well with the seed viability and vigour parameters for seed lots stored under uncontrolled conditions. The radicle emergence of invigorated seeds stored under the uncontrolled condition were more predictive and strongly correlated with the seedling vigour parameters in the field, i.e., the field emergence, field emergence rate and mean emergence time with r = 0.968, r = 0.970 and r = –0.947, respectively. Furthermore, the coefficients of determination were significant (P < 0.05) with R² = 0.936 field emergence, R² = 0.941 field emergence rate and R² = 0.898 for the mean emergence time. Seed invigoration with 0.5% ZnSO₄ further significantly reduced the time of a single count of RE from 72 hours and 68 hours to 60 hours with field prediction rates ranging from 90–99%. It was concluded that the radicle emergence of TSS can be improved by invigorating the seeds with 0.5% ZnSO₄ thereby increasing the germination percentage, vigour index, and germination rate and reducing the mean germination time.

The aim of this study is to investigate the correlation between the incidence of spontaneous tumours of various origins and the localisation in dogs with sex, breed, and age factors. A total of 360 tumours with various localisation were studied pathomorphologically. Histopathologic data sets from 360 dog tissue samples were processed and statistically examined. A chi-square test of independence was conducted to examine the relationships among the various levels of the specified variables. Logistic regression models were employed for dichotomous outcomes to ascertain the influence of certain explanatory variables on the tumour types. Characteristic pathomorphological changes observed during examination of dogs with oncologic diseases were determined. The most common neoplasms were mammary tumours, accounting for 43% of the cases. The mammary gland tumours were most common in mongrel dogs (25%), with German Shepherds (17.3%), Poodles, Dachshunds, Central Asian Shepherds (6.7% each), and Rottweilers (5.7%) following. The highest frequency of these tumours appeared at 8 years of age, predominantly originating from the ductal epithelium, which represented 46.4% of all the malignant cases.

In response to the decline of Central European spruce monocultures driven by various factors, the Demonstration Object of Reconstruction of Spruce Forests (DORS) was established in Husárik locality, Javorníky Mts., northwestern Slovakia. The area includes the Husárik trial site, where the applicability and efficiency of different artificial regeneration methods are studied. The trial was established on a 24-ha area cleared following the outbreak of spruce bark beetles in 2011. Its altitude is 800 m a.s.l., aspect NW, slope 30%, the soil is Ranker on the soft flysch sandstone bedrock. Our study covered 4 conifers – Norway spruce (spruce), European larch (larch), silver fir (fir), and Douglas fir (doug fir). Each species was regenerated using 4 different approaches: planting of commercial bareroot transplants (BR), planting of container transplants (CON), direct seeding (DS) and vegetative cell seeding using seed shelters (VCS). Results concerning the nine-year development of transplants and seedlings, along with the calculation of cost-efficiency, are presented. As to the species, BR and CON transplants of spruce and larch reached the best survival and height. The DS larch was the most cost-efficient method of establishment of a successfully established plantation (survival > 50%; stem height > 2/3 of the weed height; ratio of damaged individuals < 50%) with a total cost of 2 372 EUR·ha^–1. On the contrary, the slow initial growth of fir and Douglas fir and their extensive damage resulted in the incomparably higher cost of establishment of their successfully established plantation, such as 4 980 EUR·ha^–1 for five-years-old BR fir transplants. Our findings documented that current efforts related to the restoration of salvage-felled clearings remained difficult, especially in the case of introduction or reestablishment of coniferous tree species more vulnerable to open site conditions.

This study aims to characterise the physicochemical properties and stability of confectionery glazes made from various tropical fruit seed powders during storage. Physicochemical properties were evaluated at regular intervals throughout frozen storage to monitor quality changes. The mango seed glaze is slightly acidic, and significantly darker, with tones of green and blue. The glaze has a total soluble solid content of 73.37 °Brix, a moisture content of 19%, hardness of 46.69 g, and sagging capacity of 18.33 mm, which ensures both structural integrity and sensory appeal. Its highest viscosity among formulations suggested possible thickening and improved stability. Over 28 days, significant changes occur, with the pH stabilising to a near-neutral 6.8. The hue changes over time, migrating towards reddish tone as indicated by increasing positive a* values, while maintaining a consistent preference for blue-toned hues with continuously negative b* values. Moisture levels remained stable at 18.71% during storage, with minimal total soluble solid content changes, indicating sustained quality. The findings suggest that mango seed glazing is a viable option for quality preservation during storage. This study provides essential empirical insights into the potential changes in the quality characteristics of various fruit seed glazes when subjected to freezing.

Riparian vegetation plays a major role in maintaining biodiversity and reducing the negative impact of nutrient leaching into aquatic ecosystems. However, the knowledge on the interactions between riparian vegetation and other environmental factors is still incomplete for planning sustainable riparian forest management. The aim of this study was to explore interactions between riparian forest ecosystem components along a small stream. Interactions between vegetation structure, chemical composition of soil and groundwater, as well as chemical element flows via litterfall and precipitation were studied in seven 50 m long transects located in the riparian forest of different characteristics along a 1.4 km river section in the northern part of Latvia. Our results showed that throughfall input of total nitrogen (TN) and potassium (K) was higher in transects with predominantly deciduous tree stands, but the concentration of TN in forest floor was higher in coniferous tree stands. At some soil layers, a positive correlation between organic soil carbon (OC) and the concentration of TN in groundwater was detected. The concentration of TN and nitrate-nitrogen (N-NO₃^–) in groundwater correlated positively with the deciduous tree basal area. The obtained results suggested that element flows are strongly dependent on tree species' composition and a comparatively small riparian area is able to provide diverse ecological conditions.

Natural regeneration is a crucial factor in improving the economy of forest estates. The presented study analysed the economic parameters of three different approaches to forest regeneration: (i) artificial regeneration with Norway spruce, (ii) a 25% admixture of soil-improving and stabilising species (SSTS), and (iii) natural regeneration. The expenses for these specific operations related to individual regeneration methods were derived. These variants were investigated before the bark beetle calamity (2014) and after the outbreak (2023) for management sets (MS) 531, 551, 571, and 591, i.e. for acidic, nutrient-rich, gleyed, and waterlogged sites of higher elevations. In all cases, natural regeneration decreased expenses by approximately 2 000 EUR·ha^–1 (50 000 CZK·ha^–1) to 6 000 EUR·ha^–1 (150 000 CZK·ha^–1). The 25% admixture of SSTS increased the expenses. The proportion of natural regeneration subsequently decreased due to the bark beetle calamity from roughly 40% to 10% in recent years, which is comparable with the Czech Republic as a whole.

This study compared the efficacy of the egg yolk (EY) and soy lecithin (SL) semen extender during 72-h storage at 4 °C in the presence/absence of streptomycin, penicillin, lincomycin, and spectinomycin. Bull semen samples (n = 12) were obtained and stored in either ANDROMED^® (SL extender) or TRILADYL CSS^® (EY extender). After 24, 48, and 72 h of storage at 4 °C, bacterial colonies (CFU – colony forming units) were grown and counted on tryptic soy and blood agar, and the bacterial isolates were identified using the MALDI-TOF MS Biotyper. Sperm motility, mitochondrial membrane potential (MMP), membrane and acrosome integrity, sperm DNA fragmentation, and reactive oxygen species (ROS) production were analysed. The results showed that the type of semen diluent could be crucial for the efficacy of used antibiotics, since significantly decreased bacterial occurrence following 48 h or no bacterial growth after 72 h was recorded in the SL-based groups. Even the SL medium itself did not favour bacterial growth, as significantly decreased bacterial load was observed after 48 h (P < 0.01) and 72 h (P <0.000 1). In contrast, the bacterial load in the EY medium without antibiotics significantly increased (P < 0.05). In contrast, an improved ability to preserve sperm quality parameters was observed in EY-extended semen. In particular, sperm motility was significantly higher (P < 0.000 1 and P < 0.001) after 24 h in each EY-based group in comparison to the control (Ctrl), whereas among the SL-based groups, only the spectinomycin-supplemented group presented with a significant motility improvement (P < 0.01) when compared to the Ctrl. Although the EY semen extender provided enhanced sperm quality preservation during the 72-h storage, in the future, the SL medium composition should be improved to match the sperm preservation ability of the EY medium while maintaining its microbial safety.

Biochar is the carbon-rich product obtained when biomass is anaerobically heated. In this study, different materials (corn straw and peanut shell) and pyrolysis temperatures (350, 450 and 550 °C) affect the elemental composition, surface structure, and biochar properties. The results showed that the carbon (C) content in biochar increased as the temperature increased, but hydrogen (H) and nitrogen (N) did not change. The alkane overpressure of corn straw and peanut shell increased first and then decreased with the increased temperature; the fatty alkyl chain disappeared, but the ash content increased at 550 °C. At high temperatures, the aromaticity (H/C ratio) and hydrophobicity (O/C ratio) of biochar become "carbon-rich particles", while the polarity (O + N)/C decreases significantly. The pore wall of biochar became thinner with the increase in pyrolysis temperature, the internal pore structure became larger, and a large number of micropores appeared in biochar. Biochar pyrolysed at 550 °C has much higher C, ash content, pore, and stronger buffering capacity, and thus is more promising to improve soil health.

Soil organic carbon (SOC) is an important soil characteristic as well as a way how to mitigate climate change. Information on its content and spatial distribution is thus crucial. Digital soil mapping (DSM) is a suitable way to evaluate spatial distribution of soil properties thanks to its ability to obtain accurate information about soil. This research aims to apply machine learning algorithms using various environmental covariates to generate digital SOC maps for mineral topsoils in the Liberec and Domažlice districts, located in the Czech Republic. The soil class, land cover, and geology maps as well as terrain covariates extracted from the digital elevation model and remote sensing data were used as covariates in modelling. The spatial distribution of SOC was predicted based on its relationships with covariates using random forest (RF), cubist, and quantile random forest (QRF) models. Results of the RF model showed that land cover (vegetation) and elevation were the most important environmental variables in the SOC prediction in both districts. The RF had better efficiency and accuracy than the cubist and QRF to predict SOC in both districts. The greatest R² value (0.63) was observed in the Domažlice district using the RF model. However, cubist and QRF showed appropriate performance in both districts, too.

Methyl jasmonate (MeJA) accelerated floret opening in rice, crucial for addressing inconsistent floret opening in hybrid seed production of indica × japonica hybrids. However, indica and japonica rice exhibited notable differences in their sensitivity to MeJA’s impact on floret opening, with indica responding faster. To clarify the molecular basis of MeJA-induced floret opening sensitivity differences between indica and japonica rice, after 1 h of MeJA spraying, transcriptomes and endogenous floret opening regulators were compared between indica and japonica rice, with histology differences observed. The results showed that MeJA quickly activated plant hormones in indica and japonica rice, but JAZ genes in JA signalling pathway upregulation were greater in indica rice. Alpha-linolenic acid, starch and sucrose metabolism pathways responded faster in indica rice. MeJA boosted endogenous JA synthesis more in indica rice, which had 5–6 middle-layer cells, more than japonica’s 3–4 layers, resulting in thicker glumes. The metabolic pathways regulating floret opening, including plant hormone signal transduction, alpha-linolenic acid and starch and sucrose metabolism, along with endogenous JA and soluble sugars, could respond to exogenous MeJA. However, the more intense and rapid responses of these regulatory pathways and endogenous substances to MeJA in indica, resulted in the difference in sensitivity to MeJA between indica and japonica rice.

For sustainable breeding in potato, a better understanding of genetic diversity within germplasm banks for sustainable breeding is needed. This study comprehensively characterised the molecular and phenotypic traits of 62 potato accessions, including advanced clones and indigenous potato varieties from Advanced Chemical Industries Limited (ACI Ltd.), Bangladesh, and 8 varieties from the Bangladesh Agricultural Research Institute (BARI). By using 9 SSR markers and 13 morphological traits, including both quantitative and qualitative traits, we observed correlation coefficients ranging from –0.3 to 0.7 for 8 quantitative traits, and Pearson's chi-square (χ² value) ranging from 24.3 to 135.4 for 5 qualitative characteristics. Molecular analyses identified 46 unique alleles, with 93.5% polymorphism. The markers STM0031 and STM1016 had the highest PIC value of 0.9. Genetic parameters for SSR markers included effective number of alleles per locus (Ne) = 5.6, unbiased expected heterozygosity (uh) = 0.8, diversity (h) = 0.8 and Shannon’s information index (I) = 1.8. Jaccard’s similarity coefficients ranged from 0.2 to 0.8, representing significant diversity. Cluster analysis, using unweighted pair-group method with arithmetic average (UPGMA), grouped the accessions into five clusters based on SSR profiles. An association was foud between the marker STM0031 and two traits: the number of tubers per hill and the content of reducing sugars in the tubers. This study provides information on genetic diversity and marker efficacy. It will guide future breeding programmes towards the development of high-yielding and industrially valuable potato varieties.

The fatty acid (FA) composition of milk fat can be positively influenced by the modification of dairy farming and the possible selection of raw material for processing. The question arises as to whether the benefits of a better FA composition will be maintained even after processing dairy products. Thus, the aim was to obtain a more favourable FA composition by a targeted selection of cow’s milk (grazing vs stabled herds) and then compare FAs of milk and fermented product (yoghurt). Bulk tank milk of grazing herds had significantly better FA composition than milk of stabled herds (for example, C16:0 28.07% vs 32.27%, P < 0.001; C18:3n-3 0.83% vs 0.41%, P < 0.001; C18:2 cis-9, trans-11 (conjugated linoleic acid; CLA) 1.02% vs 0.41%, P < 0.01). The differences between the FAs in milk and yoghurt samples were negligible (in relative values from 0.04% to 5.21%). The correlations between milk and yoghurt for nutritionally important FAs were high, from 0.925 0 (C18:2n-6) to 0.998 8 (CLA; both P < 0.001). The minimal effect of milk fermentation on the original FA composition of milk fat was found. In conclusion, systematic selection of raw cow’s milk or modification of farming conditions can also provide a nutritionally desirable composition of final dairy products.

Chemical additives can reduce ammonia emissions from ammonium-containing fertilisers. We aimed to investigate the effect of an additive based on carboxylic acid derivatives on ammonia emissions from slurry. In a randomised multi-plot field trial, three slurry treatments with increasing amounts of the additive based on carboxylic acid derivates were tested in comparison to untreated slurry and mineral fertiliser. Ammonia emissions were measured with so-called passive samplers, a method already used in numerous studies. However, problems arose during the evaluation of the collected data, so we examined the methodology used in more detail. The results of the measurements were analysed with regard to their spatial distribution and temporal variation. The results show that the more additives were used, the less ammonia was emitted, up to an emission reduction of 48% at the highest additive application rate. However, the spatial distribution of ammonia emissions reveals a drift of ammonia and, thus, an interaction between the plots. Thus, even in unfertilised plots, ammonia emissions of up to 50% of the treatment with the highest emissions were determined. Furthermore, it was also proven that the different times at which the slurry was applied influenced the level of ammonia emissions. Due to the interaction between the plots and the temporal differences in the application of the slurry, measuring ammonia emissions with passive samplers in multi-plot field trials, as presented in this study, is not suitable to quantify differences between the ammonia emissions from different treatments. Based on these results, recommendations for the use of passive samplers to measure ammonia emissions in field trials are proposed.

Forests cover almost one half of European land. Therefore, land taxes, including taxes from forests, are essential for a municipality's income. The land tax system is implemented on different levels, mainly nationally and locally. Therefore, many land tax features are settled by federal law, and others differ according to the local tax administrators. The objective of the paper is to compare the current laws and principles and the implementation process of forest land in Slovakia and Portugal. We have selected countries from different geographical areas of Europe. Even though the forest compositions and forest ownership differ, we aimed to identify whether the forest land tax systems can be similar. We analysed the legislation and strategic documents on the national level that helped us to describe the land tax system and its general features (e.g. taxpayer, tax rate, tax base, exemption options, tax period, or penalties). In both countries, the national tax law governs the tax implementation and settles any basic processes related to tax collection. The municipalities have the right to revise both the tax rates and exemptions. The results also show that forest owners in Slovakia have more options for tax exemptions than in Portugal.

This work addresses short-run fluctuations of nominal global meat commodity prices, that is, beef, lamb, pork, and poultry, from January 1980 to October 2023, thus including the COVID-19 pandemic and the Russo-Ukrainian conflict. It tries to answer the following questions: how do fluctuations in meat commodity prices behave historically? Are meat commodity prices synchronised? Do their co-movements show specific features during recent global crises such as the COVID-19 pandemic and the Russo-Ukrainian war? Using a ‘classical’ framework of cycle analysis, the work provides a series of turning points upon which statistics on phase and cycle durations and amplitudes are generated. Care is put into highlighting the pros and cons of employing algorithms based on turning points instead of harmonic models. Global nominal meat prices feature cycles lasting between 3.8 and 4.6 years on average. Pork prices, contrary to other meat prices, are characterised by a highly volatile and prevalently contractionary behaviour. From a policy perspective, the article provides results on the synchronisation of couples of meat prices and on the existence of a common meat price cycle both historically and during the COVID-19 pandemic and the Russo-Ukrainian war.

One of several important pests that attack tomato plants is the silverleaf whitefly (Bemisia tabaci) (Hemiptera: Aleyrodidae). An eco-friendly method to control B. tabaci utilizes the entomopathogenic fungus, namely Aschersonia aleyrodis. This study aimed to determine the effect of A. aleyrodis conidia density and the frequency of its application to control silverleaf whitefly (B. tabaci) pest on tomato plants under screen house conditions. This study used a randomized completely block design (RCBD) to test ten combination treatments. Each treatment was repeated three times. The results showed that application of A. aleyrodis at conidia densities of 106 conidia/mL, 107 conidia/mL, and 108 conidia/mL with an application frequency of up to once every three weeks was still effective in controlling B. tabaci populations on tomato plants. The highest population suppression rates for B. tabaci (90.6%), tomato yield (1 009 g/plant and 16 fruits/plant), percentage of mycosis (96.6%), and percentage of mummification (97.3%) were found to occur at a conidia density of 108 conidia/mL with the application frequency of once a week.

In recent years, the concept of digitalization has gained increasing attention in the field of agriculture. The adoption of digital technologies such as sensors, drones, and precision farming tools has the potential to revolutionize how agricultural production is carried out, leading to increased efficiency, productivity, and sustainability. This study examines the current state of digitisation and the use of digital tools in agriculture among Hungarian farmers. The uptake of digitalisation has been slow, and more comprehensive policies and strategies are needed to improve progress. The study shows that while there are positive developments, such as the increasing use of precision technologies, there is still a lack of digital infrastructure and skills, as well as limited access to finance and information. The study concludes by making recommendations for policy makers, stakeholders and farmers to enhance the digitalisation of agriculture in Hungary.

TCP transcription factor is a plant-specific gene family which plays important roles in many developmental control pathways, regulating secondary metabolites and plant responses to abiotic and biotic stresses. Nevertheless, this gene family remains unknown in Scutellaria baicalensis. Here, by identifying and analysing all the TCP transcription factor family members based on the transcriptome of S. baicalensis, a total of 19 SbTCP genes were obtained following gene classification, the phylogenetic relationship, conserved domain structure, functional differentiation, and an expression activity analysis. Phylogenetic analysis grouped the SbTCP genes into two subfamilies; we also found that SbTCP with the same motif structure clustered together in the evolutionary tree, and these results suggest that SbTCP proteins with the same gene structure have similar functions. Gene Ontology (GO) categorised the SbTCP genes into 17 functional subcategories, suggesting that they have diversified in functionality, even though their putative proteins share a number of conserved motifs. After the MeJA and SA treatments, the expression of SbTCP candidate genes containing MeJA and SA promoter elements was significantly higher or lower compared with the control, indicating that these candidate SbTCP genes could respond to different concentrations of MeJA and SA treatments. These comprehensive data provide a reference for elucidating the functions of TCP transcription factor family in the growth, development, and MeJA and SA stress response of S. baicalensis, this study can create a new avenue for understanding the role of TCP gene family in S. baicalensis.

Industrial dairy farms boast highly advanced health monitoring and disease diagnosis systems. But without easily accessible, user-friendly web platforms for real-time decision-making, most dairy farmers cannot proactively manage herd health management and optimize treatments based on disease prediction and prevention. To bridge this gap, we have developed a web application of a Decision support system (DSS) for dairy health management based on machine learning. The system architecture combines a Flask backend with a React frontend and scalable cloud data storage and includes preprocessing, data integration, predictive modelling, and cost analysis. DSS forecasts herd diseases with an accuracy 6.66 mean absolute error and 2.35 median absolute deviation across predictions. Its core predictive capabilities rely on long short-term memory (LSTM) neural networks to forecast disease progression from historical records and on a linear trend model to project cuts in treatment costs. The system calculates medication dosages and cost per disease, streamlines supplier selection, and simulates various treatment scenarios, thereby identifying high-cost diseases with potential savings. In other words, this DSS application processes disease and treatment data by incorporating veterinary records into advanced data analytics and neural networks, thereby predicting diseases, optimizing disease prevention and treatment strategies, and reducing costs. As such, this DSS application provides dairy farmers with a tool for strategic decision-making, veterinary treatment planning, and cost-effective disease management towards improving animal welfare and increasing milk yield.

Deep placement of controlled-release urea is an effective fertiliser management strategy for improving the maize productivity, but it is not clear whether and how controlled-release urea depth affects the stem and root lodging of spring maize. Two consecutive years of field experiments were conducted to elucidate stem and root lodging properties and their relationship between grain yield and lodging behaviours under various controlled-release urea placement depths. Results depicted that compared to broadcast nitrogen treatment (D0), deep controlled-release urea significantly decreased the stem lodging rate by 34.7–80.4%, which contributed to improving the mechanical characteristics of the internode by optimising the internode diameter and dry matter in the third basal internode as well as higher lignin content. In addition, due to a greater and deeper root system (root dry weight, root surface area, root length and root width) as well as larger angle, diameter, and tension of aerial root that significantly decreased root lodging rate (37.0–88.4%). Furthermore, deep placement of controlled-release urea significantly increased the 100-grain weight, grain number and harvested index by constructing a deeper and larger root system, which significantly improved maize grain yield by 14.2–38.5%, and the nitrogen use efficiency increased by 4.8–10.7%. The highest grain yield, nitrogen use efficiency and lowest lodging rate occurred in controlled-release urea placement depths of 15 cm. Hence, our study suggests that controlled-release urea placement depths of 15 cm were an efficient nitrogen fertiliser management strategy to improve crop productivity as well as lodging resistance in spring maize.

Amorphophallus spp. is an important group of crop and medicinal plants, but it is susceptible to infection by soft rot disease during both field growth and storage stages. This results in huge economic and yield losses, which must be properly addressed. Combined applications of Biological Control Agents (BCAs) and compatible chemicals have been recently considered as a more effective and reliable method to control bacterial soft rot. In the present study, we investigated the control effects against soft rot pathogenic bacteria Pectobacterium aroidearum MY11, using a BCA strain (i.e. Bacillus velezensis BCP6) and screening for three different bactericides, i.e. Jinggangmycin (JGM), Thiodiazole copper and Qingkulike. After exploring a joint application of BCP6 with chemicals, we found that JGM was the most effective and compatible bactericide to be compounded with BCP6. First, in the in vitro experiment, the mixture of JGM (34 mg/L) and suspension of BCP6 (1.0 × 108 cfu/mL) at 4:6 volume ratio performed with the strongest inhibitory effect on P. aroidearum MY11 (53.40%) and synergistic effect (1.78); this combination also significantly increased the biofilm production by BCP6, and constrained the swimming motility of P. aroidearum MY11 in agar plates and inhibited activities of cell wall-degrading enzymes. Second, the combined application of JGM and BPC6 reached up to 95.81% of control efficacy against P. aroidearum MY11 in a greenhouse experiment, and compared to JGM or BCP6 alone, combined application effectively increased konjac plant resistance to soft rot in the field, showing a synergistic action. Collectively, these results provided an alternative method for the management of soft rot disease in konjac planting.

This study assesses 24 European Union countries in terms of food security in 2021. In this paper, we develop a composite food security index considering various weights of indicators. The data were obtained from the FAOSTAT and Eurostat databases. The weights of 10 input indicators were estimated using a principal component analysis-based factor analysis model. The results showed that the harmonised index of consumer prices – food had the greatest impact on the food security index, while the impact of median equivalised net income and moderate or severe food insecurity had the lowest impact. Ireland achieved the highest ranking according to the Food Security Index. Bulgaria experienced the most unfavourable situation among EU countries. Slovakia ranked 22^nd out of 24 countries due to its lowest protein supply, including animal-derived proteins. As part of the analysis, our research compared the food security index with the official Global Food Security Index. The Spearman’s rank correlation coefficient of 0.84 indicated a robust correlation between the two indexes. Consequently, this newly developed Food Security Index is appropriate for assessing the food security status of European Union countries. Furthermore, it broadens the assessment of food security by including countries that are not in the commonly used Global Food Security Index (GFSI).

This study was conducted to investigate the effects and mechanisms of glutamine (Gln) on the repair of acid-induced injury in dairy cow ruminal epithelial cells (RECs) in vitro. Dairy cow RECs were cultured in a medium with pH of 5.5 for 3 h and subsequently treated with various concentrations of Gln (4, 8, 12, 32 mmol/l) for 12 h. The messenger ribonucleic acid (mRNA) expression levels of occludin (OCLN), claudin 1 (CLDN1), toll-like receptor 2 (TLR2), toll-like receptor 4 (TLR4) and genes for inflammatory factors were measured using reverse transcription-quantitative real-time PCR (RT-qPCR). The results showed that cellular activity and OCLN expression were significantly highest at 8 mmol/l Gln (P < 0.05). CLDN1 expression was significantly higher at 4 mmol/l Gln compared to the other groups (P < 0.05). The relative expression levels of tumour necrosis factor (TNF), interleukin 1B (IL1B), C-X-C motif chemokine ligand 8 (CXCL8), TLR2 and TLR4 in the acid treatment group were significantly higher than those in the control group (P < 0.05), but they were lower in the Gln-treated groups than in the acid treatment group (P < 0.05). These findings demonstrate that Gln promotes the proliferation of RECs, enhances the expression of epithelial cell junction proteins, and inhibits the expression of inflammatory factors and surface receptors. In conclusion, Gln shows a potential for repairing acid-induced injury in RECs.

Contour tillage is an agricultural practice that significantly contributes to enhancing water retention, reducing the risk of flooding, and mitigating soil erosion. Information about the tillage direction is used for modelling water and tillage erosion. In our study, we used Light Detection and Ranging (LiDAR) visualizations, originally developed for archaeological research, to visualise tillage traces and map tillage direction in the Nitra district (SW Slovakia). The tillage traces were visible in all agricultural parcels, on various agricultural fields, under various agricultural crops. The LiDAR visualisations also revealed pre-collectivization field patterns and even prehistorical field patterns in certain areas. Among the 5 961 investigated points, we recorded the application of contour tillage in 30.63% of the cases. The preference for contour tillage varied among farmers, with the highest reported percentage reaching 49.74%. Our analysis did not reveal a significant correlation between the preference for contour tillage and the slope steepness.