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Organic farming is a topic often discussed in the scientific community and public space. The current European policy strongly supports the enhancement of organic farming concerning the environment, sustainability, and social aspects. It is generally assumed that a lower intensity of production, yields, livestock utility, fertilisation, and total costs should be compensated by premium prices, subsidies, or higher economic performance. Research revealed that achieving premium prices for organic products on the market is not obvious for organic farmers as some organic commodities have been sold on the conventional market. Our study focused on the price difference reached by the sample of farms on the organic and conventional markets for two organic commodities (winter wheat and milk) and the farm's economic results. We combined and compared data from two unique databases on organic farming in the Czech Republic. We used the statistical methods of ANOVA and regression for analysis. We found the difference between evaluated market prices. Price variability is wide in both types of organic and conventional markets but the influence of the prices on farm performance was not significant.

Conditioning films on surfaces employed in the dairy industry serve as the precursors to the formation of pathogenic biofilms that impact product quality and consumer safety. Conditioning films have been studied from several aspects. However, there has been no study that evaluated the effect of raw milk conditioning film on the adhesion of Escherichia coli. This study investigated the adhesion of E. coli on glass and stainless-steel surfaces conditioned with raw milk and explored the surface properties potentially influencing this adhesion using the contact angle method. The results showed that after treating surfaces with raw milk, the adhesion of the bacteria on stainless steel and glass was significantly altered. Adhesion increased significantly on stainless steel (from 0.55 log₁₀ to 2.8 log₁₀) but it decreased on glass (from 1.56 log₁₀ to 0.8 log₁₀). Significant alterations were observed in the physicochemical properties of the surfaces. Glass was initially relatively hydrophilic (46.33°), while stainless steel was relatively hydrophobic (82.5°). After treatment, the glass became relatively more hydrophobic (74.6°), and stainless steel became relatively more hydrophilic (69.4°). The electron donor/acceptor components of glass decreased after the treatment, while these components increased for stainless steel. The significant changes in adhesion were hypothesized to be due to the modification of surface properties by the raw milk.

An unstructured mathematical model is proposed to describe the fermentation kinetics of growth, lactic acid production, pH and sugar consumption by Lactobacillus delbrueckii subsp. bulgaricus WDCM 00102 (National Bank for Industrial Microorganisms and Cell Cultures, Sofia, Bulgaria) as a function of the buffering capacity and initial dry matter concentration of pretreated biomass of Spirulina platensis (Arthrospira platensis) ('Simbiotex' Ltd., Sofia, Bulgaria) in the culture media. Initially the experimental data of L. delbrueckii subsp. bulgaricus WDCM 00102 fermentations in algae-based media with different buffering capacities and dry matter concentrations were fitted to a set of primary models. Later the parameters obtained from these models were used to establish mathematical relationships with the independent variables tested. The models were validated with 6 fermentations of L. delbrueckii subsp. bulgaricus WDCM 00102 in different algae-based media. In most cases, the proposed models adequately describe the biochemical changes taking place during fermentation and are a promising approach for the formulation of algae-based probiotic foods.

This study aimed to evaluate the effect of mesobiliverdin IXα-enriched microalgae (MBV-SP) on growth, diarrhoea prevalence, intestinal morphology, antioxidant capacity, and inflammatory cytokines in lipopolysaccharide (LPS)-induced enteritis in weaned piglets. Seventy-two 28-day-old piglets were randomly divided into four groups: control (NC), LPS, tylosin, and MBV-SP, with saline/LPS (100 µg/kg) administered intraperitoneally on day 14. Results showed reduced mortality and diarrhoea rates in the tylosin + LPS and MBV-SP + LPS groups compared to the LPS group. Histological analysis revealed improved villus morphology and decreased crypt depth in the MBV-SP group. Catalase activity was notably higher in the MBV-SP group. Both tylosin and MBV-SP supplementation reduced pro-inflammatory cytokines, with MBV-SP exhibiting a more pronounced effect. In conclusion, MBV-SP mitigated diarrhoea, improved antioxidant capacity, and modulated inflammatory cytokines in weaned piglets with LPS-induced enteritis, highlighting its potential as a dietary supplement for the gut health in piglets.

Order-based agriculture aligns with the fundamental requirements for the high-quality development of modern agriculture in the new era. This study investigates how social capital influences the participation of family farms in order-based agriculture across the mountainous regions of southwestern China. Drawing on survey data from 557 farms and employing logit and Karlson-Holm-Breen (KHB) mediation effect models, the research reveals that social capital significantly promotes participation. Specifically, stronger social networks, heightened trust, and established norms are associated with increased engagement. While access to information mediates this relationship, the direct effect of social capital remains predominant. These findings underscore the importance of enhancing both social capital and information accessibility to encourage greater involvement among family farms. Furthermore, targeting younger and middle-aged farmers engaged in single-product production is crucial for promoting sustainable development.

At present, genetic selection programs produce chicken genotypes with different growth intensities, which might have variable requirements for dietary protein. The objective of this study was to compare the response of three different genotypes to two levels of crude protein in feed mixtures. Cockerels of fast-growing Ross 308, medium-growing Hubbard JA 757 and slow-growing ISA Dual chickens were used in the study. Each genotype was fed diets that differed in protein level: the control group (C) received commercial feed, and the experimental group was fed a diet with a 6% lower protein content (LP). The daily weight gain (DWG) and feed conversion ratio (FCR) were significantly affected by the interaction of genotype and feed protein level. A greater percentage of DWG depression was observed in fast-growing cockerels than in medium-growing cockerels (10% and 6%, respectively), whereas the percentage of slow-growing cockerels negligibly increased (2%). A low-protein diet impaired the FCR only in fast-growing birds (–5%), whereas in the medium- (–2%) and slow-growing groups (+2%), the differences were not significant. Carcass composition significantly influenced only genotype and thigh meat pH. In terms of meat colour, significant interactions revealed that in fast-growing Ross 308 chickens, redness and yellowness did not differ according to diet group; however, in both genotypes with slower growth, significantly greater redness and yellowness were detected in the low-protein diet group than in the control group. The results indicate that genotypes with slower growth have lower protein requirements for growth performance, but lower diet protein has an effect on physical meat quality parameters in these genotypes.

The unsustainable conversion of forest areas into agricultural land poses a serious danger to the soil eminence of Arunachal Pradesh’s environmentally delicate hilly topography. Understanding the impacts of this land-use change is crucial for preventing further degradation. This study aimed to develop soil quality indices (SQIs) for different land use types: natural forest (NF), current jhum cultivation (JC), fallow jhum land (FJC), and pineapple cultivation (PA). Samples of soil were taken at a depth of 0 to 15 cm and examined for 22 potential soil quality indicators, with 19 showing significant (P < 0.05) influence from land use, constituting the total dataset (TDS). Principal component analysis (PCA) was employed on TDS to identify the minimum data set (MDS), comprising dehydrogenase activity, diethylenetriaminpentahacetic acid (DTPA)-extractable iron, and bulk density, contributing 73%, 19%, and 8% to the overall SQI, respectively. Subsequently, different SQIs were estimated using linear/nonlinear and additive/weighted scoring functions. The results revealed substantial alterations in SQIs among the land use types, through NF exhibiting the highest soil quality. Notably, the nonlinear SQIs exhibited greater sensitivity to land use conversion compared to their linear counterparts, indicating their potential as a more robust tool for assessing soil quality changes. This study concludes that the transformation of land use in the hilly regions of subtropics of Arunachal Pradesh has led to the deterioration of soil quality. The proposed indexing framework, leveraging the sensitivity and clarity of nonlinear SQIs, can effectively evaluate and compare soil quality across different land use scenarios, thereby informing sustainable land management strategies.

Staphylococcus aureus is a zoonotic pathogen that can cause various diseases in both humans and animals. This experiment evaluates the antibacterial activity of extracts from Acer truncatum leaves against S. aureus, including the minimum inhibitory concentration (MIC), growth curve, and cell membrane integrity assessment, alongside the identification of the extract components by LC-MS. Results demonstrated that the MIC of the n-butanol extract from the ethanol extract of Acer truncatum leaves against S. aureus was 3.125 mg/ml, with a minimum bactericidal concentration (MBC) of 6.25 mg/ml. Over 16 h, the extracts at concentrations of 0.25 MIC, 0.5 MIC, and 1 MIC effectively inhibited S. aureus growth. The fluorescence staining revealed that the extracts at different concentrations compromised the structural integrity of the cell membrane. The LC-MS analysis identified the principal constituents of the extract as betaine (27.189%), 3,4-dihydroxymandelic acid (16.112%), quercitrin (14.768%), chlorogenic acid (8.778%) and neochlorogenic acid (4.452%). The study indicated that Acer truncatum leaf extract has good potential for application in natural antibacterial drugs.

A short-rotation coppice (SRC) system for bioenergy production is vital to supporting climate change mitigation by absorbing CO₂ from the atmosphere and storing carbon as biomass. However, SRC's operation also released some greenhouse gas emissions, affecting the environment. This study aims to assess the potential environmental impacts through the life cycle assessment method in bioenergy production from the SRC system. Data was collected through a literature review and database, and the impact categories were then analysed using Sphera LCA for Experts Education License software (Version 9.2.1.68, 2020). In managing plantations for bioenergy production, plants during one rotation (15 years) will be harvested every 3 years (harvesting cycle). Then, there will be five harvesting cycles during a single rotation. The result showed that the first cycle had the highest environmental impacts because the inputs (fuel, lubricant, electricity, fertiliser, and pesticides) in this cycle were higher than others. The highest contribution comes from the first and end cycles as 3 200 and 2 700 kg CO₂ eq, respectively. Meanwhile, cycles 2, 3, and 4 contribute to the carbon footprint as 2 500 kg CO₂ eq for each cycle. Based on input, fuel consumption has resulted in higher environmental impacts than lubricants, fertilisers, and electricity consumption. In conclusion, energy consumption (fuel, lubricant, and electricity) and agrochemicals (fertilisers and pesticides) have released emissions and affected the environment. In the future, fuel and agrochemical consumption should be reduced to minimise the negative environmental impacts in the short-rotation coppice system.

Agricultural machines that are fully autonomous will still need human supervisors to monitor and troubleshoot system failures. Recognising the emergency as soon as possible is crucial to reduce adverse effects. The ability of humans to detect visual, auditory, or tactile cues is usually enabled by warning systems. The effectiveness of different warning cues varies in terms of prompting a quick response. The study’s objective was to compare the effectiveness of two bimodal warnings (i.e., visual-auditory and visual-tactile) at eliciting supervisor perception (which equates to level one situation awareness). Twenty-five participants engaged in an autonomous sprayer simulation. Two realistic remote supervision scenarios (i.e., in-field and close-to-field) were used to examine two bimodal warning cues: (i) visual-auditory and (ii) visual-tactile. The effectiveness of each bimodal warning was assessed based on two measures: (i) response time and (ii) noticeability. There was no significant difference between the bimodal warning cues in terms of response time when tractor sound was present in the experimental environment (reflecting the in-field remote supervision scenario); however, visual-tactile cues yielded shorter response times than visual-auditory cues when the experimental environment was quiet (reflecting the close-to-field remote supervision scenario). There were no statistically significant differences between visual-auditory and visual-tactile warnings concerning noticeability. Participants’ subjective answers indicated they preferred the visual-tactile cues better than the visual-auditory cues. It is concluded that visual-tactile warnings are preferred over visual-auditory warnings to enable perception during remote supervision of autonomous agricultural machines (AAMs).

The rapid growth of the food industry necessitates rigorous quality control, particularly in egg production. This study explores advanced methodologies for egg quality assessment by integrating the Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and k-Nearest Neighbour (KNN) with machine vision techniques. While traditional destructive methods like measuring the Haugh unit (HU) offer direct insights, but render eggs unusable, non-destructive techniques, such as imaging and spectroscopy, allow continuous quality monitoring. Over a 20-day period, egg samples were evaluated using a digital camera to capture key parameters like the albumen and yolk heights. The study’s image processing involved noise reduction, feature extraction, and calibration. The PCA captured 90.18% of the data variability, while LDA achieved 100% classification accuracy, and KNN demonstrated 80% accuracy. These findings underscore the effectiveness of combining machine vision with statistical methods to enhance the egg grading accuracy, contributing to consumer safety and industry standards.

Tomatoes are in great demand worldwide and consumed due to their nutritional and sensory qualities. Weed infestation poses a great challenge in tomato production, prompting growers to employ two to three herbicides in combinations and sequences for comprehensive control. Consequently, this study was undertaken to investigate the effects of glyphosate, pendimethalin, and metribuzin when applied individually or in sequential combinations in tomato fields. The herbicides significantly reduced the weed density and dry biomass and enhanced the weed control efficiency (WCE) compared to control. A tank mix spray of pendimethalin and metribuzin following glyphosate gave significantly higher WCE (80–91%) and fruit yield (88.47 t/ha). The tomato quality parameters were unaffected by the herbicides. The terminal residues in fruits were found below the safe limit of 0.1 mg/kg for glyphosate and 0.01 mg/kg for pendimethalin and metribuzin. Moreover, there was no evidence of residual carryover toxicity from the applied herbicides, as confirmed by the plant bioassay and instrumental techniques. However, continuous spraying of herbicides repeatedly in succession and in combination necessitates long-term monitoring to assess the potential development of herbicide-resistant weeds, the bio-magnification of residues in soil, their transfer to tomato fruits and the impact on the food chain.

Uveodermatological syndrome is a widely recognised disease that continues to raise significant concern among both veterinarians and pet owners. Its aetiology, although still unclear, is believed to involve an autoimmune origin and genetic predisposition. The most common clinical signs include skin depigmentation, alopecia, poliosis, and, most frequently, granulomatous panuveitis. Affected dogs often develop secondary complications owing to persistent intraocular inflammation, such as cataracts and glaucoma. Although immunosuppressive therapy often yields a favourable response, recurrence is commonly observed. In some cases, uveodermatological syndrome presents a clinical challenge, as patients may experience adverse effects from medications, without which irreversible blindness may ensue.

Polyphenols and carotenoids are important bioactive compounds in potato tuber. Knowledge of these features makes it possible to select cultivars for cultivation, consumption, and processing with desirable properties. For this purpose, the content of polyphenols and carotenoids in edible potato tubers from different countries was analysed. The research material consisted of eight cultivars, including one light yellow – Eurostar, two with red flesh – Rote Emmalie and Herbie 26 and five cultivars with purple flesh – Provita, Salad Blue, Blue Annelise, Vitelotte Noire and Bora Valley. They were cultivated in a three-year, single-factor field experiment. The content of polyphenols in the analysed cultivars ranged from 165.0 to 283.8 mg/kg of fresh weight and depended on the cultivar, year of research and cultivar-year interactions. The highest average amounts of these compounds were noted in the Herbie 26, Rote Emmalie and Vitelotte Noire cultivars. The content of carotenoids ranged from 1.122 to 3.173 mg/kg of fresh weight and depended significantly on the cultivar, weather conditions in the years of the study and the interaction of cultivars with years. The highest amounts of carotenoids were determined in the purple-fleshed cultivars Blaue Annelise and Vitelotte Noire and the red-fleshed cultivar Rote Emmalie.

Based on strip-tillage technology, this study explores the optimal seedbed environment for maize growth through a three-year field agronomic experiment. A comparative analysis of two planting modes, flat planting and ridge planting, was conducted, and a two-factor, three-level experimental design was implemented (furrow-breaking width: 8, 10 and 12 cm; furrow-breaking depth: 2, 3 and 4 cm), with manual soil covering without furrow breaking as the control group. Analysis of the averaged data over three years indicates that furrow-breaking treatment significantly increased maize yield under both flat and ridge planting modes, highlighting the importance of furrow breaking for maize growth. Ridge planting increased yield by an average of 7.58% compared to flat planting. The optimal yield was achieved at a furrow-breaking width of 10 cm and a depth of 4 cm, where ridge and flat planting yields were 10.37% and 10.43% higher than the average values at each level, respectively. Additionally, at the optimal yield level, the chlorophyll soil-plant analysis development (SPAD) values for ridge and flat planting were 15.36% and 17.06% higher than the average values. The emergence rates of ridge and flat planting maize were 5.43% and 4.93% higher than the average values, respectively. This not only enhanced crop stress resistance but also improved overall economic benefits.

To provide a new agent to enhance wheat cold tolerance, we investigated the impacts of gamma-aminobutyric acid (GABA) on wheat antioxidant and photosynthetic capacity and growth parameters under cold stress (CS). CS significantly improved superoxide dismutase, catalase, peroxidase, ascorbate peroxidase and gluathione reductase in wheat leaves. Meanwhile, CS also increased the contents of reduced ascorbate (AsA) and reduced glutathione (GSH). However, CS significantly increased electrolyte leakage (EL) and malondialdehyde (MDA) levels. Compared with CS, GABA + CS improved the activities of the above antioxidant enzymes and the contents of antioxidants. In this way, GABA improved wheat antioxidant capacity and decreased MDA content and EL under CS. Whereas CS significantly increased non-photochemical quenching coefficient (qN) and reduced soil and plant analyser development (SPAD) value, net photosynthetic rate (P_n), maximum photochemical efficiency of PSII (F_v/F_m), effective quantum yield of PS II (Y(II)), photochemical quenching coefficient (qP), plant height and biomass. Compared to CS, GABA + CS significantly promoted the photosynthetic capacity by reducing qN and increasing SPAD value, P_n, F_v/F_m, Y(II) and qP. In this way, GABA improved plant growth under CS. Our results indicated that GABA can be used as a new agent to improve wheat cold tolerance.

The investigation was aimed to evaluate the physical (total solids, melting rate, viscosity, and overrun) and sensory properties of vanilla gelato (VG) made by substituting soya curd (SC) for milk. Samples were VG without SC (F₀) and with SC, i.e. 25% (F₁), 50% (F₂), and 75% (F₃). Each sample criterion consisted of 5 repetitions (n = 20). Results showed that F₃ possessed the lowest total solids, viscosity, and overrun while its melting rate was the highest among other SC substitution levels (P < 0.05). The sensory test delineated that F₃ had a less soft texture, although its aroma and flavour were not different from others (P < 0.05). Thus, the greater portion of SC substitution for milk in the VGmaking process would substantially affect the physical properties of its final product in which the total solids, viscosity, and overrun were lower while the melting rate was higher. Substituting SC for milk in VG did not affect the sensory properties, except the texture. The higher SC amount used for milk substitution would result in VG with a less soft texture. SC at a certain level of substitution was potentially expected as an innovation of the phyto-gelato product, namely soy gelato.

Drying is an essential food preservation method, improving product shelf life and quality while reducing transportation and storage costs. This study evaluated the drying kinetics of bitter gourd slices under halogen drying conditions using both traditional empirical models (Page, Midilli, Logarithmic, Peleg, and Two-Term) and the machine learning-based random forest (RF) model. Experiments were conducted at 60 °C, 65 °C, and 70 °C with slice thicknesses of 3, 5, and 7 mm. Model performance was assessed using the coefficient of determination (R²), root mean square error (RMSE) and mean absolute percentage error (MAPE). The results show that the RF model demonstrated the highest accuracy, with an average R² of 0.9826, the lowest RMSE (0.0655), and MAPE (1.40 %). Its ability to capture non-linear drying behaviour made it the most reliable model. The Midilli model was the best-performing traditional model, with an average R² of 0.9851, but its accuracy declined for thicker slices and higher temperatures. Logarithmic and Peleg models exhibited significant errors, particularly during the mid-to-late drying phases. The results highlight RF's robustness and adaptability, outperforming traditional models in handling complex drying dynamics.

In this study the eradication effectiveness of four commonly used disinfectants against benzalkonium chloride (BC) adapted and non-adapted biofilms of Listeria monocytogenes was compared and the effects of food preservatives on the growth of these strains were comparatively evaluated on pasteurised chicken sausage. After BC adaptation, the minimum inhibitory concentrations (MICs) of BC against planktonic bacteria of L. monocytogenes increased, while the MICs of chlorine dioxide remained unchanged. BC adapted strains showed stronger biofilm formation than the wild-type parents. When used at 1 × MIC, the eradication rates of chlorine dioxide on biofilm biomass, cell viability and biofilm extracellular polymeric substance were higher than BC. When used at the recommended concentrations, chlorine dioxide exhibited the highest efficiency in BC adapted and non-adapted biofilm eradication. Among the four food preservatives, nisin showed the highest inhibition of both BC adapted and non-adapted strains grown on pasteurised chicken sausage. Our data suggest that proper use of BC is required to reduce the exposure of L. monocytogenes to sublethal concentrations of BC and the emergence of BC adapted strains.

High-pressure processing (HPP) represents a promising alternative to conventional Holder pasteurisation (HoP) used by human milk banks worldwide. The objective of this study was to identify whether the HPP would achieve the same or better retention of the content of selected analytes than the HoP. Samples collected from 15 breast milk donors were processed in four ways: i) no treatment; ii) HoP; iii) HPP in cycles (350 MPa, 4 cycles); iv) continuous HPP (350 MPa, 20 min). The content of secretory immunoglobulin A (sIgA), lactoferrin and lysozyme was determined using commercially available ELISA kits, and the lipase activity was assessed using an A-lipase activity assay kit. Data were compared statistically using paired t-tests. HoP significantly reduced the content of lysozyme and lactoferrin as well as lipase activity (P < 0.001). Cycled HPP significantly decreased lipase activity (P = 0.002), while continuous HPP led to a significant decrease in lysozyme content (P = 0.001) and lipase activity (P = 0.014). Cycled HPP showed high retention of pretreatment levels of lysozyme – median 99 (88; 99%), lactoferrin – 84 (66; 105%), and sIgA content – 83 (28; 117%). Among the studied treatment regimens, the best preservation of initial levels of bioactive components was achieved using HPP at 350 MPa in cycles.

In this study, the effects of standard fertilisation versus variable fertilisation with mineral and organomineral fertilisers on N, P, K, Ca and Mg leaching from the ploughed layer and yields of winter wheat and spring wheat (Triticum aestivum L.) and spring barley (Hordeum vulgare L.) were studied. The losses of calcium were the highest, and phosphorus from phosphates was the lowest of all studied nutrients when simulated rainfall and lysimeters were used after the crops were harvested. The use of variable rate fertilisation reduced nitrates leaching in all the studied plots. Nevertheless, leaching of calcium, which is present in higher concentrations in soils (and also magnesium leaching), seems to be more dependent on the used fertilisers (or their combinations) and doses. As found in different studies, we proved that variable rate fertilisation may not increase grain yields.

Sufficient available water in the soil is critical for plant growth, especially soon after planting. Water absorbed by organic hydrosorbents has the potential to reduce drought stress after planting and improve seedling survival. This research evaluates the effectiveness of granular organic hydrosorbents (GOH) in increasing soil-water retention in a pot experiment with boxwood (Buxus sempervirens L.) seedlings. The leaf chlorophyll content was also evaluated to determine plant growth. The following fertilisers were used: GOH 1 comprised 50% biogas products and 50% wheat straw, and GOH 2 combined post-harvest grain, legume and oilseed residues. The fertilisers were applied to the bottom of the pot or mixed with the soil. Both types doubled the initial water retention compared to the control. While the control water retention dropped below zero after 18 days without watering, retention in the fertilised treatments ranged from 0.5 to 0.76 L. Re-watering part of the trial after the 18 days then induced increased retention to the initial levels in all treatments and the control. However, the fertilised plant’s water retention was up to half a litre greater than in the control when the 62-day experiment ended. The effect of GOH application was also manifested in the chlorophyll content. In the no watering mode, the chlorophyll content was, on average, 20% and 13% higher in the treatments with GOH 1 and GOH 2 than in the control. In the watering regime, the application of GOH 1 and GOH 2 increased the chlorophyll content by an average of 31% and 26%, respectively. Finally, these trials established that the GOH applications significantly delayed boxwood-seedling drying and increased their water retention and chlorophyll content in unwatered and re-watered plants.

Sulphur (S) plays an important role in agriculture, being the fourth major contributor to improved quality of crops and increased yields. The applied methods for the estimation of different forms of S in soil aimed at assessing the sulphur availability to plants in various conditions. Nowadays, the wider spreading of regions with sulphur deficiency imposes optimisation of the soil testing procedures in order to increase their availability for laboratories. This study contributes to improving the analytical performance of the turbidimetric method in determining water-soluble sulphate in soil after leaching with the CaCl₂ reagent. The modified testing protocol showed: method limit of quantification of 5.0 mg/kg; precision as relative standard deviation less than 3%; recovery of fortified soil samples 103 ± 18%. The expanded uncertainty was 2.3 mg/kg SO₄^2–-S (K = 2, norm.). The proposed testing protocol was inexpensive, fast, used simple equipment and procedures, easily adoptable in regular laboratories, and showed characteristics suitable for the estimation of water-soluble sulfate in arable soils. A set of 546 soil samples was tested, and 74% were found to be sulphur deficient with SO₄^2–-S < 10 mg/kg and sulfur availability index < 6.0. Thus, the availability of laboratory analysis to a broader group of farmers could contribute to effective fertilisation programs, as the newly proposed fertiliser blending technologies are based on adequate estimation of sulfur availability in arable soils.

This study evaluated the potential of spent coffee grounds extract (CGE) as an antioxidant supplement in the diet of Nile tilapia (Oreochromis niloticus). Four experimental diets with varying CGE levels were formulated: 0% (CGE0, control), 2% (CGE2), 4% (CGE4), and 6% (CGE6). Nile tilapia (initial mean body weight = 38.65 ± 0.85 g) were cultured in fiberglass tanks at a stocking density of 20 fish/m² under continuous aeration. The fish were fed three times daily at 5% of their total body weight. After an 8-week experimental period, the fish fed CGE-supplemented diets exhibited significantly higher growth rate compared to the control group, with CGE4 showing the most pronounced improvement in final body weight (P = 0.027) and weight gain (P = 0.050). However, no significant differences were observed in average daily growth (P = 0.054), specific growth rate (P = 0.256), survival rate (P = 0.487), and feed conversion ratio (P = 0.105) between the dietary treatments. Fish on the CGE6 diet exhibited the highest total plasma protein (P = 0.001) and immunoglobulin levels (P = 0.000). Moreover, CGE supplementation enhanced superoxide dismutase (P = 0.000) and glutathione peroxidase (P = 0.016) activities relative to the control group. The histopathological analysis showed significantly longer intestinal villi in fish fed CGE-supplemented diets, with the longest villi observed in the CGE6 group (P = 0.000). Fish fillets from the CGE6 group exhibited the highest springiness, while hardness was comparable between CGE6 and CGE4 but significantly higher than in CGE2 and CGE0. Additionally, CGE supplementation significantly influenced the colour expression, increasing lightness (L*) while decreasing redness (a*) and yellowness (b*) values. These findings indicate that 4% CGE supplementation is the most effective concentration, as it significantly promotes growth as evidenced by the highest weight gain, while also enhancing blood biochemical parameters, flesh quality, and antioxidative responses in Nile tilapia.

This study represents the first evidence of the bacterial blight caused by Xanthomonas arboricola pv. juglandis (Xaj) on walnut trees in Podgorica (Montenegro). Disease symptoms appeared on leaves in the form of dark, angular leaf spots surrounded by yellow-green haloes and lesions spread across the whole leaf. Isolated bacteria were preliminarily identified using PCR with pathovar-specific primer pair XajF/XajR and further characterised based on multi-locus sequence analysis with nine housekeeping genes (fusA, gapA, gltA, gyrB1, lepA, rpoD, dnaK, fyuA, and gyrB2). Montenegrin walnut isolates were homogeneous among themselves and the most closely related to different X. arboricola strains originating from Juglans regia isolated elsewhere. The pathogenicity of isolates was confirmed on walnut leaves, fruits, and branches. All inoculations resulted in the formation of necrotic lesions that initially developed at the site of bacteria entry, with later developing chlorotic areas on leaves along the leaf veins. This finding of Xaj causing leaf blight symptoms on walnuts in Montenegro highlights its expanding distribution across Europe and indicates a potential threat to walnut plantations in Montenegro.

Bark beetle Pityokteines spinidens (Coleoptera: Curculionidae: Scolytinae) is widespread across Europe. We identified this species as a pest of Tsuga canadensis in western Bohemia's Americká zahrada National Nature Monument Arboretum. This discovery suggests that P. spinidens could infest any conifer within the Abietoideae subfamily. Given its status as a known pest of various Abies species, its potential impact on related conifers warrants further attention.

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.

As the strategy for building a robust agricultural nation gains momentum and agricultural science and technology advances, the quality of agricultural products has seen significant improvement, accompanied by an increase in the economic income of agricultural producers and operators. Therefore, the fair and reasonable implementation of the revenue distribution of the agricultural supply chain is of great significance in improving the quality of agricultural products and ensuring the stable operation of the supply chain. The article focuses on the three main bodies of the agricultural supply chain, namely production and price co-integration enterprises, logistics service enterprises and sales enterprises, and utilises the matrix semi-tensor product to establish the Shapley value revenue allocation model of the interval cooperation game, so as to make the revenue allocation of the governance of agricultural products' quality in the digital supply chain more reasonable and scientific. Finally, numerical examples verify the Shapley value model, demonstrating that this revenue allocation scheme, when applied, can boost the overall supply chain's revenue through cooperative agricultural product quality management, elevate agricultural product quality and market competitiveness, and foster collaboration to ensure the stability of supply chain operations.

The purpose of this study was to detect the prevalence rate of European rose chafer (Cetonia aurata) on American highbush blueberries (Vaccinium corymbosum). The observation was made from the beginning of flowering to the end of harvest of the blueberry cultivars ‘Duke’, ‘Legacy’, and ‘Huron’. The incidence occurs during the first harvest of the ‘Duke’ cultivar. Three rows per cultivar, with 90 plants per row, were monitored during the research. Insects were collected on 15 infested plants per row, randomly selected, and counted. This procedure was repeated every second day, 3 times a day: in the morning, at noon, and in the afternoon. The highest presence of the insect was recorded at the full ripening phase of the ‘Duke’ cultivar, with 25.5% of bushes being infested and an average of 12.7 beetles per bush counted. The damage percentage varied over the harvesting periods: 29% of the fruits were damaged in the first harvest, 13% in the second harvest, and 8% during the third harvest. While ‘Legacy’ and ‘Huron’ stood out with 5.55% and 3.33% of infected bushes, respectively, and minor fruit damage. This research proves that the European rose chafer in the area of the experiment is a harmful pest of early cultivated blueberry cultivars.

This study investigates the benefits of using mine tailings (MT) to improve pea (Pisum sativum L.) growth and productivity on degraded agricultural soils in semi-arid environments. The research aims to evaluate the use of MT as an innovative soil amendment and to determine the optimal dose required to enhance the micronutrient availability of Zn, Mn, Cu and Fe without affecting soil quality. The experiment was conducted in greenhouse pots with three different soil types amended with different MT doses (control and four doses). Soil samples were collected from the Doukkala region, one of the main agricultural areas in Morocco. Pea was grown in pots and monitored for 87 days until maturity. After harvest, soil and plant samples were weighed, measured and analysed by inductively coupled plasma atomic emission spectroscopy (ICP-AES). The experiment found that moderate doses (0.2 g/kg to 1 g/kg) applied to all soil types promoted optimal pea growth by improving plant height, root and above-ground biomass and pod number. Thus, MT can act as a biostimulant. However, nutrient antagonism negatively affected growth at the highest dose (4 g/kg). Bioconcentration and translocation factors indicated efficient micronutrient uptake and biofortification, while heavy metals remained immobilised in roots, effectively eliminating toxicity risks.