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In this study, the effects of vitamin D₃ (Vit. D) and a stinging nettle (Urtica dioica L. (UD)) extract were examined using histopathological and immunohistochemical methods in the stomach tissues of an experimentally created rat model of CD. The CD model was created using trinitrobenzene sulfonic acid (TNBS). The animals in the study were divided into control, TNBS, TNBS+Vit. D, and TNBS+UD groups. At the end of the experiment, the animals were euthanised and their stomach tissues were evaluated for necrosis, degeneration, apoptosis, and inflammation. Additionally, an immunohistochemical method was applied to determine the somatostatin (SSTR), aquaporin-1 (AQP-1), caspase-3, and tumour necrosis factor-alpha (TNF-α) immunoreactivity in the gastric tissues. In the evaluations, degenerative and necrotic changes and mononuclear cell infiltration areas were observed in the TNBS group, but such changes could be improved with Vit. D and UD applications. The results suggest that the combination of the Vit. D and UD extract may have a protective and therapeutic role in mitigating TNBS-induced damage to the gastric tissues, potentially through the regulation of SSTR, AQP-1, caspase-3, and TNF-α expression. This indicates a promising avenue for further research and the exploration of these compounds in the context of gastrointestinal health.

This study evaluated the nutrients, flavour and antioxidant capacity in the embryo, colloid and fruiting body of Dictyophora rubrovalvata. The embryo had the highest protein [2.91 ± 0.39 g·(100 g)^–1] and polysaccharides (17.44 ± 1.49 mg·g^–1), the fruiting body had the highest total phenol content (0.87 ± 0.17 mg·g^–1), the colloid was rich in minerals [1.57 ± 0.16 g·(100 g)^–1]. The antioxidant capacity of the embryo was higher than that of the other parts, in terms of different solvents, the antioxidant capacity of D. rubrovalvata extracted with ethanol was higher than that of water. 2,2-diphenyl-1-picrylhydrazyl (DPPH), 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), and reducing capacity were positively correlated with polysaccharides, proteins and polyphenols. The free amino acid content ranged from 7.44 to 11.52 mg·g^–1, the distribution was fruiting body > embryo > colloid, of which glutamic acid content was the highest, and the flavour characteristics were mainly umami and sweetness. The nucleotide content of fruiting body and embryo was higher than in the colloid. In addition, the compositions of volatile flavour compounds were identified by headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS), mainly alcohols, aldehydes and ketones, their distributions varied greatly among the three samples. These results indicated that different parts of D. rubrovalvata have different nutritional characteristics, the fruiting body has a high content of volatile and non-volatile components, the embryo and the colloid have good functional activity, laying a foundation for the functional development and comprehensive utilisation of D. rubrovalvata.

Arbuscular mycorrhizal fungi (AMF) play a key role in regulating the carbon cycle in terrestrial ecosystems. However, there is little information on how AMF inoculation affects the carbon fluxes of paddy fields, which are major sources of global carbon emissions. We, therefore, designed an experiment to study the effects of AMF inoculation on methane and carbon dioxide emissions from a paddy field. Results showed that: (1) Among the tested factors, the C/N ratio was the main environmental determinant of microbial community structure in the investigated soil; (2) compared with traditional fertilisation (control), the soil C/N ratio increased by 2.1~15.2% and 1.4~10.5% as a result of AMF application alone (M) or in combination with mineral fertiliser (FM) throughout the growing season, respectively. This change shifted microbial community composition to higher G⁺/G⁻ bacterial and fungal/bacterial ratios; (3) the microbial community change favoured soil carbon retention. Methane (CH₄) emission peaks were reduced by 59.4% and 76.0% versus control in the M treatment and by 52.5% and 29.4% in the FM treatment in the midseason and end-of-season drainage periods, and CO₂ emission peaks were reduced by 70.1% and 52.3% in the M plots and by 55.4% and 66.4% in the FM plots.

The effects of the foliar application of plant growth regulators (PGRs), salicylic acid (SA) and ascorbic acid (AA) were studied on yield and some qualitative traits of corn silage under drought stress in a field experiment conducted in the Agricultural and Natural Resources Research Center of Khoy in two consecutive years. The experiment was performed in four replications as a split plot in a randomised complete blocks design. Irrigation treatment was in two levels, ir75 and ir150, and the foliar applications of SA and AA at seven levels (100, 200, and 300 ppm, as well as a control treatment). The amount of water consumed in ir75 and ir150 during 10 and 7 times irrigation was 6 000 and 4 200 m3/ha, respectively. Malondialdehyde (MDA) content was increased over the plant growth period in both ir75 and ir150, but with the difference that its range was 3.72 to 12.9 nmol/g FW (fresh weight) under ir75 and 12.5–109.5 nmol/g FW under water shortage conditions. The results show that ir150 decreased plant height, forage yield, ear weight, and nitrogen uptake versus ir75. In plants treated with SA and AA, nitrogen uptake and chlorophyll content increases (45–33%) were observed compared to the control plants under ir75. In most traits, there was no significant difference between AA and SA levels, but plants treated with SA100 showed higher protein yield, dry forage yield, and ear yield.

In modern agriculture, nano-priming represents an innovative approach, harnessing the power of nanotechnology to enhance crop yields and nutrition. However, to effectively harness the potential of nanoparticles (NPs) for agriculture applications, understanding their mode of action and optimal application rates for positive effects on microgreen growth and physiology is critical. In this interdisciplinary study, we investigated the priming of sunflower seeds with a range of concentrations (25, 50, and 100 mg/L) of ferric oxide (Fe₂O₃) nanoparticles (FeNPs) and compared them with control samples. Our findings revealed a significant increase in plant biomass, leaf size, and photosynthetic activity in treated samples. The activities of photosystems I and II increased with higher FeNPs concentration. The treated samples exhibited elevated levels of total phenolics, anthocyanin, and antioxidant enzyme activity, along with increased macronutrients and micronutrients. These findings highlight the potential of FeNPs as a promising tool for enhancing plant growth and physiology in sunflower microgreens.

Increased levels of the non-essential hazardous metalloid arsenic (As) in rice grains pose a threat to human health and the sustainability of the rice industry. In several counties, the average As contamination in polished rice has been detected to range from 0.002 to 0.39 mg/kg, which is above the safe limit of 1 mg/kg as recommended by the World Health Organisation. Beyond this limit, the digestive tract, circulatory system, skin, liver, kidney, nervous system and heart can be affected. Humans can develop cancer from consuming or inhaling As. In addition, long-term exposure to drinking water contaminated with arsenic has also been linked to a dose-response relationship with an increased risk of hypertension and diabetes mellitus. Rice has been shown to be an indirect source of arsenic accumulation in human bodies. Under flooded paddy soil, trivalent arsenate (AsIII) occupies 87–94% of the total As, while under non-flooded soil, pentavalent arsenate (AsV) predominates (73–96% of the total As). This review aims to provide a thorough and interdisciplinary understanding of the behaviour of As in the paddy soil and transportation to rice grain and further investigate efficient ways to limit arsenic contamination. Supplementation of soil with specific mineral nutrients such as iron (Fe), sulphur (S) and silicon (Si) can significantly decrease the arsenic accumulation in rice grain by minimising its uptake and translocation. The hydrogen bonding potentials of uronic acids, proteins and amino sugars on the extracellular surface of soil microorganisms facilitate the detoxification of arsenic species. Further, rice is absorbed less when exposed to aerobic water management practices than anaerobic ones since it reduces the build-up of As in rice, and the solution is immobilised as in the soil.

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.

Hokkaido brown bear (Ursus arctos yesoensis) meats are used as ingredients of game cuisines. In contrast, shank meats are unsuitable as edible meats due to gamy tastes and tough meats. Here, new meat sauces were developed using glutinous rice koji and food enzymes for the application of the underutilised meat i.e. shank meat. The proximate analysis showed that the obtained sauces were reduced-salt sauces at approximately 6.4–7.7 g·(100 g)^–1 as salt equivalent. The sauces had a light colour, no unacceptable odours, and strong sweetness and umami taste. The sauce with good sensory acceptability was rich in glutamic acid, leucine, lysine, and alanine. Besides, the essential amino acid contents were remarkably high at approximately 55.6%. In addition, the tested sauces had good antioxidative activities, scavenging activities against reactive oxygen species such as superoxide anion radicals and hydroxyl radicals, and angiotensin I-converting enzyme and hyaluronidase inhibitory activities. These results suggested that Hokkaido brown bear shank meat sauces, which had positive effects for human health, could be used as one of novel condiment with consumer demands.

Long-term human activities substantially altered floodplain regions of temperate Europe. Forest management and extensive changes in hydrology greatly affected natural floodplain soil properties, in which microbes play key roles. This study aims to assess the effects of human activities through a gradient of forest management intensity on soil microbial community (SMC), its biomass, activity, and structure. Soil chemical and physical-chemical properties were used to explain the general associations and within-site variation using principal component analysis (PCA), linear regression (LR) and linear mixed-effect regression (LMER) models. It was found that forest management application, regardless of its intensity, led to significant microbial biomass reduction. PCA revealed that microbial biomass, expressed as a sum of phospholipid fatty acids along with recalcitrant carbon fraction (ROC) best explained the variability in data. LR and LMER highlighted that bacteria are affected by floodplain forest management more than fungi, and that bacterial response to pH was highly diversified. Also, pH was identified as the best predictor of SMC structure and activity but not of its size. The study calls for further investigation in SMC interactions with ROC, soil-available Fe and Mn, and the role of redox-active metals in soil organic carbon degradation.

Achieving the desired level of caramelisation in a date powder requires considerable effort. Consequently, an assessment was conducted on efficacy of thin-layer infrared dehydration for date paste. Various parameters were considered, including airflow velocities of 0.5, 1.0, and 1.5 m·s^–1, radiation intensities of 0.076, 0.1528, and 0.228 W·cm^–2, and date paste layer thicknesses of 3 mm and 5 mm. The study's findings indicated a positive correlation between drying rate and lowering airflow velocity and a negative correlation between drying time and decreasing airflow velocity, the thickness of date paste, and rising intensity of infrared. The effective moisture diffusivity (D_eff) was caculated by employing Fick's diffusion equation. For all situations under investigation, the mean values were within the range of 3.94 × 10^–11 m²·s^–1 to 6.01 × 10^–10 m²·s^–1. A relationship has been established between D_eff and moisture content. Seven distinct mathematical models were subjected to rigorous validation by applying non-linear regression analysis, aiming to accurately characterise the drying process of date paste. The modified two-term model provided the most accurate forecast of the drying process for date paste layers.

This study investigated the genetic basis of days to heading (DTH) in tropical japonica rice using F₂ populations derived from late-maturing Rojolele and early-maturing Rojolele Srinuk varieties. Phenotypic analysis of DTH showed continuous distribution and positive skewness. Whole genome sequencing (WGS) derived single nucleotide polymorphism (SNP) from early and late-heading bulks were used to identify three candidate regions with strong association to DTH: qDTH3.1 and qDTH3.2 on chromosome 3, and qDTH7.1 on chromosome 7, with the latter linked to the Oryza sativa Pseudo-Response Regulator 37 (OsPRR37) gene. InDel markers validated qDTH7.1’s significant linkage to DTH, particularly marker ID14, which is effective for marker-assisted selection of early DTH in Rojolele background.

The aim of the study was to prepare and test the effect of diets with 50% and 100% replacement of soybean meal with dehulled seeds of white lupin (Lupinus albus) variety Zulika. One hundred and eighty Cherry Valley duckling were divided to control group (C) and two experimental groups E₅₀ (50% replacement of soybean meal with dehulled white lupin meal) and E₁₀₀ (100% replacement of soybean meal with dehulled white lupin meal). There were evaluated the production parameters and the amino acid spectrum of breast and thigh muscles up to 42 days of age. The effect of diets containing lupin meal had no negative effect on the yield of duckling. In particular, positively can be evaluated higher growth rate in the experimental groups compared to the control (C 3.22 ± 0.28 kg, E₅₀ 3.40 ± 0.27 kg, E₁₀₀ 3.48 ± 0.28 kg), at the same time significantly lower mortality in the experimental groups compared to the control (C 5.88%, E₅₀ 1.47%, E₁₀₀ 1.49%) and, except for E₁₀₀, minimal differences in feed conversion ratio (C 2.33 kg/kg, E₅₀ 2.27 kg/kg, E₁₀₀ 2.71 kg/kg). Feeding diets based on lupin meal resulted in the reduction of most essential and non-essential amino acids (P ≤ 0.05) in the dry matter content of both breast and thigh muscle (E₅₀, E₁₀₀). Lupine meal-based diets positively influenced ducks’ health, which was reflected by lower mortality rate in the experimental groups. Therefore, the results show that diets based on lupin meal had a positive effect on the health and welfare of intensively fattened ducks and that they affected positively the economic aspect of breeding.

Bemisia tabaci is a significant insect pest that causes extensive agricultural damage. The MEAM1 (Middle East-Asia Minor) and MED (Mediterranean) genetic groups of B. tabaci are the most prevalent cryptic species. This study investigated the potential for resistance development in the MED and MEAM1 genetic groups of B. tabaci against cyantraniliprole. Additionally, multiple-resistance development within each genetic group for pyriproxyfen, spirotetramat, and acetamiprid insecticides was determined. To assess the susceptibility of the first-larval stage of B. tabaci, we employed a systemic uptake method with cyantraniliprole. Additionally, we utilized a leaf-dipping method to apply acetamiprid, spirotetramat, and pyriproxyfen to second-instar larvae, adults, and eggs of B. tabaci, respectively, to determine the LC50 values for each insecticide. Each genetic group was subjected to six selections using cyantraniliprole. After six rounds of selection, a 1.8-fold resistance was observed in the B. tabaci MEAM1 population, whereas the MED population exhibited a 1.4-fold resistance. While B. tabaci MED and MEAM1 genetic groups exhibited very low resistance to cyantraniliprole, it's important to note that no multiple-resistance was observed with pyriproxyfen, spirotetramat, or acetamiprid in either group. These findings provide valuable insights for future monitoring and developing insecticide resistance management strategies for B. tabaci.

In this study, we used psychology and organisational behaviour theories to determine the main elements affecting Chinese farmers' grain loss-reduction efforts (LREs). We established social factors (SFs), policy factors (PFs) and buyer's strategies (BSs) as the three central factors and constructed a theoretical framework linking these factors to grain producers' LREs. Using this framework, we designed a survey questionnaire and an interview guide; we subsequently collected 1 536 valid questionnaire responses and 25 interview transcripts. The findings revealed that SFs, PFs and BSs had a significance positive effect on the LREs of grain producers. Critically, grain producers from significant Chinese grain-producing regions did not always minimise the effects of the independent variables (SF, PF and BS) on the dependent variable (LRE). This research provides a new viewpoint on grain farmers' LREs activities and may be used to tailor policy and commercial strategies.

Fugate, a waste product from biogas production, regularly used in agriculture as a fertiliser, may contain bacterial pathogens that cause zoonoses. Anaerobic digestion (AD) can inactivate viable pathogens, including parasites, viruses, and pathogens containing antibiotic resistance genes. This study aimed to compare the numbers of pathogenic bacteria and diversity of potential bacterial pathogens in the fugate using three different types of slurry: cattle, swine, and poultry manure. The swine fugate showed higher numbers of Clostridium perfringens and Campylobacter sp. than the poultry and cattle fugate. In the cattle fugate, the lowest total number of pathogenic bacteria and a low number of coliforms were detected after the AD. The use of cattle manure in biogas plants presents a lower potential for soil contamination with pathogens. The fugate produced using poultry or swine manure can be used carefully to avoid possibility of contamination of aquifers or surface waters. Also fugate produced from manure of cows suffering from chronic botulism  can be used only with carefulness because of the presence of Clostridium botulinum spores in biogas waste of diseased cows.

The clonal propagation of guava (Psidium guajava L.) is essential to avoid segregation, and its multiplication through cuttings is the easiest and cheapest way to raise a nursery, as other propagation techniques are laborious and need expertise. The current study was planned to evaluate the best rooting stimulators and rooting substrates for guava nursery propagation. In this experiment, the guava-prepared cuttings were treated with rooting stimulators, indole butyric acid (IBA) and paclobutrazol (PB) with concentrations (0, 200, 400, and 600 ppm) and were planted in independent rooting substrates (sand, silt and topsoil) under polytunnels. The results revealed that the highest number of roots, root length and root weight were achieved in cuttings planted in the sand with IBA 400 ppm concentration. In contrast, the highest survival percentage (50%) was obtained in silt substrate with a similar concentration of IBA. However, sand’s lowest and highest concentrations of both rooting hormones produced zero plants. In shooting capacity, maximum leaves (13.6) and sprouts (3.76) were obtained using IBA 400 ppm in silt substrate. The highest sprouting length (6.80 cm) and cutting height (26.2 cm) were attained with sand using PB 200 ppm. In the overall comparison, rooting stimulator IBA 400 ppm and rooting substrate silt performed better than other rooting stimulators and rooting substrates.

'Candidatus Phytoplasma prunorum' ('Ca. P. prunorum') is a causative agent of European stone fruit yellows (ESFY), an economically important decline disease of some stone fruit species (Prunus spp.). The present research focused on the influence of 'Ca. P. prunorum' on primary and secondary metabolites in four apricot genotypes consisting of older trees (genotypes Nora, LEM 159, group 1) and younger trees (genotypes H 74 and H 177, group 2). The content of sugars (glucose, sucrose, fructose and sorbitol), total phenolic content (TPC), total flavonoid content (TFC), antioxidant capacity (AC), total soluble proteins (TSPC), mineral ions: potassium (K+), sodium (Na+), magnesium (Mg2+) and calcium (Ca2+), pigments: chlorophyll a, b and carotenoids, and indolic compounds content (ICC) were analysed in two time periods during the year in the leaves of tested trees. The results revealed that the presence of phytoplasma/ESFY symptoms significantly decreased the content of pigments in both groups during the summer sampling period. ESFY caused a decrease of TPC, TFC and ICC in the H 177 genotype. The phytoplasma decreased the TSPC and K+ content in older trees during both sampling periods. The only increase caused by phytoplasma infection was observed in glucose content, but only in the group of older plants. The results of this study support the idea that 'Ca. P. prunorum' affects metabolites in plants' defence system and manipulates basic metabolic processes during successful infection.

Cattle identification systems are advancing to meet the growing demands of precision livestock management, traceability, and ethical animal treatment. This study investigates three methods: body texture recognition, QR code collars, and numerical labelling, implemented using the YOLOv8 convolutional neural network. Each method was evaluated in terms of accuracy, scalability, adaptability to dynamic herd changes, and operational efficiency under various environmental conditions. Body texture recognition, while leveraging unique natural patterns and achieving a mean Average Precision (mAP50–95) of 0.78 proved limited by its reliance on frequent dataset retraining to accommodate changes in herd composition and susceptibility to misidentification in larger herds. QR code collars demonstrated adaptability in dynamic herds by enabling pre-trained convolutional neural networks to assign reserved codes to new animals without retraining, while removing animals involves simply deleting their codes from the system. This approach also achieved an mAP50–95 of 0.71, which was lower than the body texture-based approach, but offered greater flexibility in herd management. Despite this adaptability, this method demonstrated significant challenges in real-world environments. Occlusion caused by feeders, barriers, or animal movements, along with low-resolution imaging and poor lighting conditions, can compromise detection accuracy, particularly in larger herds with obstructive barn layouts. The numerical labelling method emerged as the most effective solution to dynamic cattle identification, achieving the highest mAP50–95 of 0.84. It provided a scalable and highly accurate approach that integrates seamlessly with automated systems. Unlike traditional body marking techniques such as ear notching and branding, numerical labelling is less invasive, painless, and highly scalable, aligning with ethical livestock management practices while maintaining consistent accuracy across diverse environmental conditions.

Conservation grassland significantly reduces soil erosion risk in agricultural landscapes, as shown by a nationwide analysis of over 1.9 million Farmer’s blocks (DPBs) records from the Czech Republic (2016–2022). A logit regression model revealed that grassland establishment lowers the likelihood of erosion events by about 64%, with erosion risk strongly influenced by altitude, land use, and management practices. Spatial mapping and soil suitability classification identified nearly 240 00 hectares – mainly along 33 000 concentrated runoff pathways – as suitable for targeted grassland conversion. Despite its soil-protective function, high opportunity costs hinder uptake in economically productive regions. Cluster analysis across EU Member States confirmed a strong link between low permanent grassland share and high erosion exposure. The findings underscore the need for regionally tailored policies, long-term financial support, and flexible land management options to enhance soil resilience and promote sustainable agriculture.

In the face of global challenges, innovative methods of production and consumption are vital, and the bioeconomy signifies a transformational shift based on biological processes, minimal energy use and full integration of resources into ecosystems. This study focused on a sectoral analysis of bioeconomy opportunities with a focus on bioenergy and waste management in an agriculture sustainable approach. Literature-based analysis was used to approach the research objectives of the roadmap design methods. A comprehensive sectoral analysis of the bioeconomy was conducted with a special emphasis on bioenergy and food security. A conditional roadmap of bioeconomy implementation clusters was presented, which is in line with global trends.  Agriculture, being an integral part of the bioeconomy, faces challenges due to ecosystem degradation, water scarcity, and poverty. The global trend of biotechnology adoption in agriculture offers benefits for sustainable bio-economic development, including soil conservation, cost reduction, job creation and improved food quality. Thus, the bioeconomy has significant potential to address global challenges and achieve sustainable development, which requires innovation, regional adaptation and a commitment to harmonise economic growth with environmental conservation. Further research into the involvement of the rural areas in the development of bioeconomy is required.

Optimum irrigation scheduling and new technologies are the key to the successful practice of modern agriculture and natural resources, such as water management. Α three-year research project was conducted at Velestino, Magnesia, Greece. The aim was to study whether vegetation indices can be used to estimate the crop coefficients of corn in order to apply an intelligent method of irrigation using drones in the future. The normalised difference vegetation index (NDVI), the soil-adjusted vegetation index (SAVI), the renormalised difference vegetation index (RDVI) and a new index [difference infrared – green vegetation index (DIGVI)] were calculated using multispectral photos from a camera adapted to a drone. Three different methods were applied to calculate the crop coefficients: (i) the water balance and the FAO Penman-Monteith reference evapotranspiration, (ii) the climatic data, (iii) the vegetation indices. The irrigation dose covered 100% of the crop water needs according to the soil moisture measurements and the single crop coefficient values. The statistical analysis and the simple linear regression method showed that the corn crop coefficients can be estimated when these indices are used as independent variables.

Seasonal heat stress and metabolic disorders during mid-lactation are the main factors limiting production in Holstein cows, and several proteins and molecules involved in metabolic pathways are altered in response to stress. We investigated the effects of heat stress on the milk yield, milk composition, serum oxidative status, and metabolites in Holstein cows during mid-lactation to identify biomarkers associated with heat stress in serum and milk. Holstein cows with similar body condition scores (3.0 ± 0.25), parity (2.5 ± 0.5), and lactation days (115 ± 5 days) were selected in August (heat stress, HS, n = 20) 2017 and March 2018 (non-heat stress, NHS, n = 20). Milk yield was recorded daily and serum was collected on days 1, 31, and 61. Serum and milk metabolites were analysed by gas chromatography-mass spectrometry on day 1. The results showed a significantly lower average daily milk yield in the HS group than in the NHS group (P < 0.05). The milk compositions of fat (%), lactoprotein, lactose yield, and milk solid-not-fat in the HS group were significantly lower than in the NHS group on days 1, 31, and 61 (P < 0.05). The levels of  malondialdehyde were higher, whereas those of superoxide dismutase and glutathione peroxidase were lower in the serum of the HS group (P < 0.05) than that of the NHS group. The serum concentrations of d-glucose, 9,12-octadecadienoic acid, and d-lactose were significantly higher in  the NHS group than in the HS group (P < 0.05). The concentrations of lactic acid and milk urea nitrogen in the NHS group were lower than those in the HS group (P < 0.05). The present data suggest that metabolic biomarkers are closely associated with heat stress in the serum and milk, which provides a basis for evaluating indicators of heat stress occurrence in mid-lactation cows.

The primary objective of this paper was to compare the nutrient content (N, Ca, S, K, P, Mg) of bilberry biomass, both aboveground and underground, growing in different habitats along the altitudinal gradient. The research was conducted in protected areas of the High Tatras National Park (Slovakia). Two different habitats subjected to study, namely spruce forest stands affected by disturbances (D – disturbed forest stands) and stands unaffected by disturbances (U – undisturbed forest stands), were located at different altitudes: 1 100 m a.s.l., 1 250 m a.s.l., and 1 400 m a.s.l. We found significant differences in the soil nutrient content along the altitudinal gradient. The highest content of nutrients was detected mostly at the highest altitudes in both habitats. The minimum reached 0.01 g·kg^–1 (phosphorus), while the maximum was 8.33 g·kg^–1 (nitrogen). In the case of the bilberry biomass, we found statistically non-significant differences in the content of nutrients among the altitudes within both habitats (D vs. U). The principal component analysis (PCA) showed that the aboveground biomass of bilberry had a significantly higher nutrient content compared to the underground biomass. Nutrient content in aboveground and underground biomass ranged from 1.00 g·kg^–1 (phosphorus) to 13.49 g·kg^–1 (nitrogen) and from 0.38 g·kg^–1 (magnesium) to 7.55 g·kg^–1 (nitrogen), respectively. The biological absorption coefficient (element content in dry biomass/element content in soil) reached the highest values mostly at the lowest altitude for both aboveground and underground biomass.

Peste des petits ruminants virus (PPRV), a member of the family Paramyxoviridae, belongs to the genus Morbillivirus. It causes devastating viral diseases in small ruminants and has been rapidly spreading over various regions in Africa, the Middle East, and Asia. Although vaccination is thought to be an effective management strategy against PPR infections, the heat sensitivity of PPRV vaccines severely restricts their use in regions with hot climates. In this research, we studied the antiviral activities of ribavirin and aimed to understand the potential mechanisms of action of ribavirin in the African green monkey kidney cells (Vero cells). In brief, the adsorption, intrusion, replication, and release of PPRV, as well as the mRNA expression level of RNA-dependent RNA polymerase (RdRp), were significantly inhibited in the ribavirin-treated Vero cells compared to those in the PPRV-infected cells that were not treated with ribavirin. Additionally, ribavirin has potential as an antiviral drug against PPRV, and its antiviral activity is mediated by the Janus kinase signal transducer and activator of transcription (JAK/STAT) and PI3K/AKT pathways.

Ohmic heating is an emerging technology currently in high demand for application in various processes. In this research, a prototype of a multipurpose ohmic heating apparatus was successfully designed, fabricated, and tested. This apparatus was designed based on low-cost and versatile sensors and components available worldwide. Three independent chambers could be operated parallelly and individually with different treatments. Parameter data, i.e., voltage, electrical current, the temperature of heated material and environmental humidity-temperature, could be recorded by an embedded data logging system. The sensor had been tested and validated by comparing all the sensors used with commercial standard instruments. The result showed that all sensors had high measurement accuracy, indicated by very low mean absolute error (MAE) and mean absolute percentage error (MAPE), with R² > 0.999. The performance test revealed that product temperature could be accurately maintained according to the set point temperature with a deviation value lower than 0.1 °C. The data logging system was able to record and store the parameter data in SD card memory for up  to several days without interruption. The prototype of the ohmic heating apparatus could be  an effective alternative to process many purposes such as pasteurisation, cooking, warming, and fermentation based on the ohmic heating principle.

The present study investigated the properties and antimicrobial activity of silver nanoparticles synthesised through a green method using Salvia officinalis. Extracts were obtained from sage at two different temperatures, and these extracts were then used to synthesise silver nanoparticles through a reaction with AgNO₃. The characteristics of resulting silver nanoparticles and their antimicrobial effects on foodborne pathogenic bacteria were examined. During the synthesis, the colour of the silver nanoparticle solution changed from yellow to dark brown, and a significant absorbance peak was observed at 360 nm. The sizes of the synthesised silver nanoparticles were found to be 53.77 and 57.08 nm for the two different extraction temperatures, respectively. The nanoparticles exhibited spherical-rod shapes with silver contents of 83.91% and 84.38% and crystal sizes of 37.15 nm and 34.81 nm, corresponding to the two temperatures. The reduction of silver ions involved functional groups like C=C or C=O. The antimicrobial activity of the synthesised silver nanoparticles was evaluated at concentrations of 10 and 25 mg·mL^–1 using the paper disc method against several foodborne pathogenic bacteria. Notably, the sage extract displayed antimicrobial efficacy against Salmonella Typhi, Listeria monocytogenes, and Staphylococcus aureus. However, no significant antimicrobial effect was observed against Escherichia coli O157:H7.

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.

This study comprehensively examines multifaceted risk factors influencing wheat production among Turkish farmers, aiming to deepen understanding of how these factors shape farmers’ perceptions and decision-making processes. Utilising Structural Equation Modeling (SEM), we analysed the interplay of climate-related issues (F1), market dynamics (F2), and external events (F3), like COVID-19 and wars, alongside socio-demographic factors such as education, income, and land ownership. Findings revealed that higher education and increased agricultural income reduced price-related risks while expanding wheat cultivation areas heightened risk perceptions. Farmers in irrigated regions prioritised cyclical risks, whereas those in dry areas perceived climatic risks as more severe. Capital-intensive practices and storage facilities mitigate climate change and market variability risks, with committed wheat producers showing lower climate change risk perceptions. External factors like the Russian-Ukrainian war and the COVID-19 pandemic disproportionately impact irrigated area farmers. This study contributes to the existing literature by using empirical evidence from Turkish wheat farming to explore diverse risk perceptions, employing SEM to unravel complex risk factors and decision-making processes, thereby offering new insights for future agricultural risk management research.

This work presents the advantages and risks of selected soil quality criteria using data from the monitoring of agricultural soils in the Czech Republic. Soil samples were taken from 71 sites covering various soil types. Basic soil parameters and mid-infrared spectra were measured. Indicators describing the quality of soil organic matter (SOM), and soil were calculated. The results show that soil types differ significantly in the qualitative indicators of soil organic matter. More acidic soils with lower clay content contain lower proportions of aromatic and higher proportions of aliphatic organic compounds than neutral soils with higher clay particles content. These soils differ little in total carbon content and C/N ratio but considerably in C/clay ratio. Cambisols are the least degraded soils in the Czech Republic in terms of C/clay ratio, which is controversial in many respects. The results indicate that more aliphatic organic matter is important for the SOM content in the upper part of the agricultural soil, and more aromatic organic matter is mainly bound to the clay fraction. The results raise questions about the suitability of uniform C/clay target values proposed in European legislation as a criterion for assessing soil degradation due to carbon loss.

The development of intelligent systems for the tracking of free-range livestock is a challenge to both information and communication technology (ICT) scientists and those in the animal sciences. Cyber-physical systems make it possible to track and control processes involving intelligent objects from the physical and virtual worlds. In the case of free-range grazing, it is necessary to manage processes in two domains ‒ that of the intelligent pasture management and that of the animals. Due to the differences in the conditions of different types of pastures – plain or high land and the characteristics of the cattle breeds, ready-made models cannot be used, but it is necessary to build a specific multi-aspect model for the behaviour and life cycle of cows. Our team organised their research on cows from two different breeds (Rhodope Shorthorn Cattle and Bulgarian Rhodope Cattle) raised in similar technologies, grazed on two different types of pasture. The aim of the study is to develop a comprehensive model for determining cattle behavioural activities on pastures using sensor groups, by incorporating physical observations and appropriate statistical models.