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Standard roses are a widely used ornamental plant in urban landscapes, valued for their attractive flowers and adaptability to various environmental conditions. This study investigated how different substrate types affect the growth and development of standard roses and their potential to improve the ecology of urban landscapes. Nine substrate conditions (rotted corn stover, decomposed shiitake mushroom residue, perlite, and combinations) were compared with field soil as a control treatment. The physical and chemical characteristics of each substrate were analysed, and the growth and development of standard rose plants were observed over six months. The results indicated that the substrate T4 (70% rotted corn stover, 15% decomposed shiitake mushroom residue, 15% perlite) achieved the highest evaluation index, leading to superior plant growth compared to other substrates. This combination provided optimal water retention, aeration, and nutrient supply, making it the most effective substrate for cultivating standard roses. Additionally, the use of these substrates can improve soil quality and reduce environmental pollution, offering a sustainable option for urban landscape management.

The aim of the study was to assess the impact of the use of biofertilizers on the degree of colonization of cucumber and tomato plant roots by arbuscular mycorrhizal fungi and the number of AMF spores in the rhizosphere soil. Two experiments were carried out in containers on cucumber and tomato plants under field conditions. The plants were fertilized with standard NPK fertilizer, mineral fertilizers: POLIFOSKA 6, Super FOS DAR 40 and urea in the full recommended dose and reduced by 40%, microbiologically enriched, and only with strains of beneficial microorganisms (Bacillus spp., Bacillus amyloliquefaciens, Paenibacillus Polymyxa, Aspergillus niger, Purpureocillium lilacinum). The experimental results showed a beneficial effect of the POLIFOSKA 6 mineral fertilizer enriched with beneficial bacteria of the Bacillus genus on increasing the colonization of the roots of tomato and cucumber plants by arbuscular mycorrhizal fungi. Compared to the control, fertilization with microbiologically enriched urea at doses of 100% and 60% reduced the frequency of mycorrhizas in the roots of tomato and cucumber plants. The use of POLIFOSKA 6 100% and Super FOS DAR 40 at a dose of 60% resulted in an increase in the number of spores in the rhizosphere soil. The experimental results will allow the development of new biofertilizers as alternative methods of fertilizing plants and improving soil quality compared to standard mineral fertilization.

Feed efficiency (FE) is one of the most essential traits in dairy cattle, primarily due to the high cost of feed, which constitutes a significant portion of dairy herd expenses. Unfortunately, assessing FE in individual cows requires precise measurement of feed consumption, a labour-intensive and expensive process that is impractical for group-fed cows on production farms. Efforts have been made to predict FE or, more precisely, dry matter intake (DMI), using predictors such as a body weight (BW), milk yield (MY), and milk composition. Recently, Fourier transform mid-infrared (FT-MIR) spectroscopy has been proposed as a tool to enhance the accuracy of DMI prediction. This paper reviews the application of FT-MIR milk spectroscopy for deriving FE phenotype in dairy cattle. FT-MIR is a reliable and widely used method for routine analysis of milk components. In FE phenotyping, predictive equations often incorporate FT-MIR alongside other traits such as BW, MY, milk composition, herd, breed, days in milk, and pregnancy. The most commonly used mathematical approaches are partial least squares (PLS) regression and artificial neural networks (ANN). Prediction accuracy varies across studies, depending on the mathematical method and model employed. Predictions based solely on FT-MIR data have demonstrated moderate accuracy (coefficient of determination), ranging from 0.19 to 0.40. However, integrating all data sources including MY, milk composition, FT-MIR, and near-infrared reflectance spectroscopy (NIR) is crucial and results in higher accuracy, with reported values ranging from 0.03 to 0.81.

Vehicle collisions with wild animals are a common problem on roads, having a significant impact on road safety and wildlife populations. Collisions with wild animals are one of the most frequent road accidents. According to police statistics, there were nearly 16 000 road accidents caused by collisions with animals in the Czech Republic
in 2019. Collisions with deer are the most common. There are several technologies and measures that can help reduce the risk of a vehicle colliding with a wild animal. One of the technologies used is a night vision system based on infrared spectrum sensing. This technology is slowly becoming part of the equipment of, in particular, premium car brands dueto its high cost. This paper tested a low-cost solution using a commercially available thermal imaging camera and found a substantial reduction in the time to detect wild animals along the road, namely in the order of seconds.

For viable papaya production, more hermaphrodite plants are needed than male and female (though they produce inferior fruits). To this end, the sex of the plants must be ascertained early in their growth cycle, which is not possible with conventional methods. Molecular marker has shown its utility for this purpose, and in this study, 100 seedlings of the CO 7 gynodioecious variety and 100 seedlings of the CO 8 dioecious variety that were released from this university were analysed for their sex using the RAPD-SCAR (randomly amplified polymorphic DNA-sequence characterised amplified region) marker, T12. In those lines under investigation, the T12 marker’s presence indicated male lines, while its absence indicated female or hermaphrodite lines. To confirm that there was no experimental error – that is, the lack of the SCAR marker was caused by the non-existence of the complementary target region – an oligomer primer called OPA 04 was initially employed as a control to validate the molecular marker system among the lines under investigation. Results of this study have shown that T12 has achieved 97% and 98% accuracy in correctly identifying the male and hermaphrodite flowers in the field in CO 7 and CO 8 accessions, respectively. A similarity search of the sequences of the polymerase chain reaction (PCR) product amplified by T12 from CO 7 and CO 8 has highlighted that they matched with male-specific regions of the papaya Y chromosome. Further, it was estimated that by employing molecularly certified papaya seedlings with predetermined sex, farmers could save up to 55% on labour costs when compared to approaches that use seedlings from conventional ways by implying the removal of male plants. Thus, the findings of this study help growers and breeders to identify sex early and guarantee profitable papaya production.

This research work evaluated some engineering properties of breadfruit starch flour following standard procedures with the aim of providing engineering data that would help its usage in food processed industries. Starch was extracted from matured breadfruit fruits, modified using acid and engineering properties were examined following standard procedures. Results of moisture contents, loose and packed bulk densities, density ratio and porosity were ranged from 8.23–9.13% dry basis (DB); 0.44–0.51 g·mL–1; 0.60–0.66 g·mL–1; 70.01–80.14% and 19.87–29.99%, respectively. Similarly, Carr index values ranged from 19.44–30.61% and Hausner ratio values ranged from 1.25–1.43, indicating that the flour samples investigated had poor (native), fair (modified) and good (potato) flow properties, using Carr index standard. Amylose, amylopectin and amylose-amylopectin ratio contents values ranged from 21.52–29.77%; 70.23–78.48% and 0.28–0.42%, respectively. Also, the flour samples thermal properties values using Differential Scanning Calorimeter (DSC) ranged from 106.4–129.09 °C; 31.93–78.36 °C; 106.2–175.75 °C; 214.90–278.6 J·g–1; 35.5–148.82 °C; 2.26–10.95 J·g–1·K–1; 0.305–3.0 (×10–6) W·m–1· °C–1, and 0.095–1.32 (×10–6) m2·s–1 for peak temperature, onset temperature, end temperature, enthalpy, temperature range, specific heat capacity, thermal conductivity and thermal diffusivity, respectively. Viscosity values as influenced by concentration and temperature ranged from 25.8–149 mPas for native starch and 41.9–109.6 mPas for modified starches. Hence, this research work provides engineering data that would help in process control, process design and bulk handling of breadfruit starch flour so as to promote its usage in food process industries.

Mycoplasma hyopneumoniae (M. hyo) and porcine circovirus type 2 (PCV-2) are major and widespread swine pathogens, both implicated in the porcine respiratory disease complex, which can lead to significant economic losses for pig producers. PCV-2d is currently the most prevalent genotype. Vaccination against these two pathogens helps mitigate their impact on pig health and performance. The use of ready-to-mix or ready-to-use (RTU) vaccines targeting PCV-2a or PCV-2a/b and M. hyo is a common practice. This study aimed to evaluate the efficacy of a novel RTU vaccine containing PCV-2d and M. hyo antigens under experimental conditions. Several challenge trials were conducted using PCV-2a, PCV-2b, PCV-2d, and M. hyo to assess the level of protection conferred against different PCV-2 genotypes and M. hyo, as well as to determine the duration of protection. This study demonstrated that the bivalent PCV-2/M. hyo vaccine induces both early and long-lasting protection against infections caused by M. hyo and PCV-2. In addition, cross-protection against the three major PCV-2 genotypes was confirmed.

sn-1,3-Dioleoyl-2-palmitoylglycerol (OPO) is a structural triglyceride with a specific distribution of fatty acids, which is an important component of breast milk fat and which can better promote the absorption of minerals and energy in infants. In this study, a lab-made immobilised Aspergillus niger lipase (IM-ANL), which is more economical than a commercial lipase, was used for hydrolysis to produce free fatty acids (FFA) and acidolysis interesterification to produce OPO. The enzyme was used for multiple purposes, reducing the cost of enzymatic production. The optimum conditions for hydrolysis were determined by experiments: the amount of IM-ANL enzyme dosage was 3%, the reaction temperature was 45 °C, and the reaction time was 48 h. The optimum conditions for acidolysis interesterification were as follows: the amount of IM-ANL enzyme dosage was 4%, the molar ratio of tripalmitin to oleic acid was 1 : 8, the reaction temperature was 55 °C, and the reaction time was 3 h. In this study, economical palm stearin and high oleic acid sunflower seed oil were selected as reaction raw materials, and the reaction temperature was moderate, the safety risk was low, the energy consumption was reduced, the process was more economical, and the economic value of high oleic acid vegetable oil was improved, which was conducive to the further promotion of OPO production.

Gerbera flowers are the best-selling cut flowers worldwide owing to their attractive appearance. Nevertheless, one significant challenge for gerbera flowers is their relatively short vase life. Commercially, synthetic chemicals are used to prolong the vase life of flowers; however, they are not environmentally friendly, posing sustainability concerns. Therefore, we used different concentrations of the biocontrol spore suspension of Streptomyces exfoliatus FT05W and evaluated their effect on vase life, bacterial population, and different morphology and physiological indices of gerbera cut flowers, with the objective of determining the optimal concentration for maximum efficiency. The results revealed that all spore suspensions of S. exfoliatus FT05W (1 × 106 CFU mL) significantly extended vase life and were 4 days longer than the control. S. exfoliatus FT05W treatment also increased bottle life extension days, blossom diameter, and fresh weight, and maintained water balance. In addition, it decreased malondialdehyde (MDA) levels and relative electrolyte leakage (REL), leading to decreased oxidative stress. S. exfoliatus FT05W significantly increased antioxidant enzymes, including superoxide dismutase (SOD) activity, catalase (CAT) activity, peroxidase (POD) activity, soluble sugar (SS), and soluble protein (SP), compared to the control. Furthermore, it can effectively inhibit bacterial proliferation, resulting in a decline in colonies and a significant delay in the flower ageing process. The beneficial impacts of S. exfoliatus FT05W were most pronounced at a concentration of 1 × 106 CFU/mL. The findings of this research suggest that S. exfoliatus FT05W has great potential as a bio-fertiliser for cut flowers, as it is capable of addressing the challenges associated with flower cultivation.

As a consequence of climate change and damage to coniferous forests, European beech (Fagus sylvatica L.) is the preferred plant species for forest restoration in Central Europe. European beech is generally regarded as pest-resistant. However, its vulnerability to secondary pests, for instance, gall-forming midges, may increase with environmental stress such as long drought periods. We analysed the abundance of two gall-forming insects, Mikiola fagi and Hartigiola annulipes, on European beech at 26 forest sites across the Czech Republic, spanning diverse climatic and environmental conditions, using generalised linear mixed models to evaluate the effects of abiotic factors and host tree characteristics. The results revealed that M. fagi was more abundant on younger trees, in stands with lower canopy closure, and under warmer spring conditions. In contrast, the abundance of H. annulipes declined in drought-affected areas. These patterns demonstrate species-specific responses of gall midges to host tree characteristics and climatic variables, suggesting that climate change may favour higher M. fagi abundance. Accordingly, our findings support the establishment of young beech stands under higher canopy closure, for example, beneath the shading of mature trees.

‘Cerason’ is an interspecific cultivar of grapevine that has been bred and selected in the Czech Republic (2008). The cultivar is a result of crossing the cultivars ‘Merlan’ and ‘Fratava’ and shows very promising potential within the framework of a fungus-resistant (PIWI) cultivar, making it particularly suitable for organic wine-making. This paper presents the results of an experiment performed with seven selected rootstock cultivars (viz. ‘Kober 125AA’, ‘Amos’, ‘Börner’, ‘Crâciunel 2’, ‘Kober 5BB’, ‘K1SO4’ and ‘Teleki 5C’) and some data about the effects of these rootstocks on the quantitative variables of the cultivar ‘Cerason’. The aim of this study was to choose and specify the rootstock cultivars that would be the most suitable for a given locality. The following traits were monitored and recorded: plant vitality, the yielding capacity of the individual plants, and the number and weight of clusters per vine. The weight of 100 berries was also an important variable. The rootstock cultivars ‘Kober 125AA’ and ‘Kober 5BB’ were evaluated as the best for optimal growth and fertility (especially a higher fertility index, pruning weight and weight of clusters). The experimental results indicated that the cultivar ‘Crâciunel 2’ could also be a suitable rootstock. The ‘Kober 125AA’ rootstock also showed the most optimal Ravaz index, with an average of 5.9 over the three-year observation period.

Regulation (EU) 2023/1115 on deforestation-free products (EUDR) establishes a substantially revised legal framework that extends beyond the previous EU Timber Regulation (EUTR 995/2010) by integrating legality, sustainability, and traceability obligations. This article provides a legal and comparative assessment of the implications of the EUDR for the Czech forestry and timber sector. The methodological approach combines doctrinal interpretation of EU legislation, comparative analysis of national implementation models, and an examination of relevant case law. Experiences from selected EU Member States are used to illustrate institutional, technological, and administrative challenges linked to EUDR implementation. The results indicate that, although the Czech Republic has an established regulatory framework under Act No. 251/2025 Coll., effective compliance with the EUDR will require improved coordination among supervisory authorities and the development of a unified digital platform for submitting and verifying due diligence declarations. Evidence from other European countries shows that integrated monitoring systems and the use of third-party certification can enhance both efficiency and transparency. The study concludes that the successful implementation of the EUDR in the Czech context will depend on institutional capacity, digital readiness, and the ability of forest managers and traders to adapt to more stringent environmental and traceability requirements.

One of the main causes of having low crop efficiency in Peru is the poor management of water resources; which is why the main objective of this article is to estimate the amount of irrigation water required in quinoa crops through a comparison between the machine learning and AquaCrop models. For the development of this study, meteorological data from the province of Jauja and descriptive data of quinoa crops were processed and a simulation period was established from June to December 2020. From the simulation carried out, it was determined that the best model to predict the required irrigation water is the Adaptive Boosting (AdaBoost) model in which it was observed that the mean and standard deviation of the AdaBoost models (mean = 19.681 and SD = 4.665) behave similarly to AquaCrop (mean = 19.838 and SD = 5.04). In addition, the result of ANOVA was that the AdaBoost model has the best P-value indicator with a value of 0.962 and a smaller margin of error in relation to the mean absolute error (MAE) indicator with a value of 0.629. Likewise, it was identified that, for the simulation period of 190 days, 472.35 mm of water was required to carry out the irrigation process in red quinoa crops.

Oestrus detection is currently at the top of the factors limiting the success of artificial insemination in dairy herds. This limitation becomes more pronounced as milk production increases because of higher metabolic clearance rates of steroid hormones leading to low circulating oestradiol concentration near oestrus. The standard OvSynch has overcome this problem by enabling fixed-time artificial insemination, for it synchronises follicular wave emergence, luteolysis, and ovulation. However, it did not improve fertility compared to cycles with spontaneous ovulation, which motivated the development of “fertility programs”. These later are nothing but improved OvSynch protocol. This article explains what went wrong with the original OvSynch protocol, discusses the improvements made by “fertility programs”, and highlights the advantages and limits of the newly tested molecules.

The clinical implications and efficacy of newly developed modified cellulose materials were evaluated in an acute wound animal model. In the current study, sixty male rats were divided into four groups. A full-thickness circular excision wound was created in the suprascapular area. Newly developed matrices (acidic partially carboxymethylated cellulose; acidic partially carboxymethylated cellulose impregnated with a povidone-iodine solution) were applied in two test groups, while fifteen animals were used as a control group without any primary dressing. Aquacel Ag, a clinically used dressing, was selected as the reference material. To compare the efficacy in vivo, the wound size and production of selected cytokines and growth factors (TNF-α, TGF-β1, and VEGF), which play a key role in the healing process, were measured at two, seven, and fourteen days after surgery. The activity of matrix metalloproteinases 2 and 9, which actively participate in cell signalling and are essential for tissue remodelling, was determined in wound tissue by gelatin zymography. A positive effect of the newly developed dressing materials on the healing process, tissue granulation, and wound re-epithelialisation was demonstrated.

Regular replacement of old and problematic queen bees is necessary to maintain the strength and productivity of bee colonies. Beekeepers replace queen bees using queen cells, virgin queens, or mated laying queens. In this study, we explored factors influencing the acceptance of the virgin queens. A comprehensive field study was conducted in the summer of 2023, involving the introduction of 754 virgin queens of different age and 194 queen cells into mating nuclei of various states using three different methods. The article aims to provide recommendations to beekeepers for introducing virgin queens, thereby increasing the frequency of successful requeening. The duration of the colony being queenless has a significant impact on the acceptance of queens. If the colony is prepared in advance, at least five days prior, immature and mature virgin queens will be accepted equally well (60‒77%). Conversely, suppose queen replacement is done without preparation for a colony that has been queenless for one day only. In that case, the result will be significantly lower due to the short queenless period (41%), and the age factor of queen bees will come into play. If queen replacement is done with preparation, the chosen timing within the season will play a significant role, as weather conditions can influence acceptance and mating, varying from 48% to 89%. Suppose a bee colony has long lost its queen and has developed laying worker bees. In that case, there is still a 55% chance of successfully introducing a virgin queen into such a colony without using time-consuming methods.

Adopting low-carbon agricultural technologies (LCATs) is fundamental to reducing carbon emissions in agriculture. Our study explores the factors influencing the adoption of LCATs and the roles of production outsourcing and specialised farming within the framework of off-farm employment. In this regard, survey data were collected from 1 040 farmers in the Yellow River region of China in 2020 to examine the effect of production outsourcing on the farmers’ adoption of LCATs. Potential mechanisms associated with specialised farming and off-farm employment are considered to comprehend this relationship. We also investigate the heterogeneous effects of production outsourcing on adopting LCATs, taking different education levels and arable land areas into account. The results show a positive association between production outsourcing and farmers’ LCATs adoption behaviour, even after considering self-selection bias. Specifically, outsourcing production can significantly increase the likelihood of farmers adopting low-carbon tillage, low-carbon irrigation, and low-carbon fertilisation technologies by 7.2%, 8.1%, and 7.3%, respectively. This effect is more pronounced among farmers with higher levels of education and smaller areas of arable land. Furthermore, production outsourcing increases the LCATs adoption by promoting specialised farming. The findings suggest that outsourcing is vital to alleviating the lack of LCATs adoption resulting from off-farm employment.

In this study, a synergist made of itaconic acid, maleic acid, acrylic acid and other active ingredients polymerised was sprayed on the surface of nitrogen (N) fertiliser particles to make synergistic nitrogen fertilisers (SNF). To explore the effect of SNF on N metabolism of wheat in saline-alkaline land, five treatments were set up: CK – ordinary N fertiliser (299.86 kg N/ha); T1 – SNF (299.86 kg N/ha); T2 – SNF (239.89 kg N/ha); T3 – SNF (179.92 kg N/ha); T4 – SNF (119.94 kg N/ha). The aboveground dry weight of wheat, the photosynthetic characteristics of wheat flag leaves, the activity of the N metabolism enzyme of wheat flag leaves, the expression of N transporter-related genes in wheat roots, and the N accumulation and transport of plants were determined. The results showed that the T1 treatment performed the best. During the two years, the N translocation from stems and leaves to spikes of plants at maturity in T1 was 33.18–45.55% higher than that of CK. The N content of wheat spikes was 12.01–12.66% higher than that of CK. The activities of nitrate reductase, glutamine synthetase, glutamate synthetase and the expression of nitrate transporter gene TaNRT1.1 and ammonium transporter gene TaAMT1.1 were significantly higher than that of CK. The aboveground dry weight of wheat and photosynthetic characteristics of flag leaves were significantly higher than those of CK in T1, whereas the intercellular CO2 concentration was significantly lower than that of CK. The application of SNF positively affected N accumulation and transport in wheat, wheat yield, and fertiliser utilisation, as well as reduced N loss in saline-alkaline land.

This study examined the fermentation duration in relation to the effectiveness of tannin levels in mangrove (Sonneratia alba) fruit during the fermentation process using Aspergillus niger. The tested durations were 7, 10, 13, and 16 days in anaerobic conditions. The outcomes measured included crude fat, crude fibre, and nitrogen-free extract digestibility. Microbial biomass, protozoa population, and methane gas production were also recorded as responses to the rumen microbial activity. The results showed that 16 days of fermentation gave the highest average for all responses. The protozoa population reached around 4.07 × 10⁵ cells/ml and methane gas amounted to 33.9 ml/g of dry matter (DM). This is caused by a decrease in the anti-nutrient tannin content in mangrove (S. alba) fruit due to fermentation by A. niger according to treatment. The conclusion of this research is that the 16-day fermentation treatment (T4) of mangrove fruit is the optimal time to be used as a source of concentrate feed for livestock in terms of the increase in nutritional value and gastrointestinal microbes represented by total protozoa population, crude fibre digestibility, crude fat digestibility, and the highest nitrogen-free extract digestibility. However, microbial biomass and methane gas production were not significantly different in this study.

Kavurma is a traditional cooked meat product of Türkiye containing a high percentage of animal fat (30–40%). Therefore, kavurma can undergo lipid oxidation easily. This may cause a major problem in the storage and marketing of the product. Synthetic additives used in foods cause anxiety in consumers and this situation increases the search for natural alternatives. Plant essential oils can be reliable additives to extend the shelf life of foods. The protective effect of rosemary and clove essential oils on kavurma meat against microbiological and oxidative deterioration was investigated in this study. For this purpose, kavurma samples were divided into five groups after being produced by standard methods, the essential oils (rosemary and clove) obtained by distillation method were added to the kavurma fat in various proportions, alone or in combination. At the end of the study, the thiobarbituric acid-reactive substance (TBARS) and peroxide values of the groups containing plant essential oils were found to be lower than the control groups. The groups containing rosemary and clove essential oil showed that microbiological deterioration was delayed and, the sensory evaluation scores were higher than the control groups at the end of the cold storage period.

Two different morphologies of nanocellulose – cellulose nanofibres (CNFs) and cellulose nanocrystals (CNCs) with different contents were added to emulsified sausages to replace pork back fat in different proportions (10%, 30%, and 50%), and the colour, emulsion stability, texture characteristics and dynamic rheological behaviour of emulsified sausages were analysed. The results indicate substituting fat with nanocellulose led the L* (lightness) and a* (redness) values increased and the b* (yellowness) values decreased of the emulsified sausages. Increasing nanocellulose concentration improved the emulsion stability of the sausages. In terms of emulsion stability, the use of CNFs outperformed CNCs, especially for samples substituted with 50% fat. In terms of texture, emulsified sausages where CNCs replaced fat showed lower hardness, viscosity, and chewiness compared to those with CNFs. The dynamic rheological results indicated that when the fat replacement levels were 10% and 30%, samples using CNFs as fat substitute had slightly higher storage modulus (G') values than those using CNCs. However, for 50% fat replacement, samples using CNFs as fat substitute had significantly higher G' values than those using CNCs, which demonstrates that higher CNFs concentrations are more conducive to the formation of a three-dimensional network structure.

Soil particle-size distribution or soil texture presents one of the most important physical properties. There are various systems of the classification systems for soil particle-size fractions with different boundaries. Our effort was concentrated on the mathematical approach to evaluate the existing data and convert it to the form of a reconstructed cumulative particle-size curve which will allow reading concentration of any desired particle size. Non-Uniform Rational B-Splines (NURBS) curves therefore represent a generalization of B-splines and Bézier curves by extending the definition by an element of rationality, which is represented by the weights of the control points, and a nodal vector of parametrization, which represents the element of uniformity. The NURBS curve was used for smooth (depending on the degree of the curve used) and as tight as possible approximation of the arranged control points, the connecting lines of which forms a convex envelope for its individual parts. The NURBS approximation curve is therefore determined by the ordered control points and their connecting lines, the weights of these points, the degree of the curve and the nodal vector of parametrization. However, the construction of the approximation curve is primarily dependent on a limited number of points of the experimentally determined particle-size distribution curves, and for curves with significant breaks in the course, one must consider either a lower accuracy of the approximation or the necessity of “improving” the approximation using the weights of individual points, inserting additional points or working with a nodal vector of parametrization. For basic approximation, the PUGIS system (Czech soil information system) offers automatic approximation using all variants mentioned in the article as well as the possibility of individual changes in the weights of control points, in their number and position, and in the nodal vector of parametrization.

Coffee leaf rust (CLR), Hemileia vastatrix, is a disease that has severely impacted the major coffee growing areas of the world. The discovery of CLR in Hawaii in October 2020 was devastating news to local growers, as it quickly spread to all coffee-growing areas, threatening the second-highest-valued crop in the State. Although the fungicide Priaxor Xemium had been approved as a Section 18 emergency exemption, there was still an urgent need for true systemic fungicides to provide sustained control of the disease. The study's overall objective was to test the efficacy of various systemic fungicides against CLR in field conditions. During the coffee growing season for two years, various fungicides were tested on two farms in the Kona district of Hawaii. Treated trees showed an 84% reduction in CLR incidence compared to untreated trees in Year 1 and a 79% reduction in Year 2 by the end of the study. Treated trees also had 12% and 38% more total leaves per branch than untreated trees in Years 1 and 2, respectively. All fungicide treatments provided excellent or good control of CLR compared to the untreated control under the climate of Hawaii.

The tomato occupies a prominent place in the Philippines’ agricultural economy. However, tomato leaf diseases are challenges in tomato crop production leading to economic losses. Among the tomato leaf diseases, early blight and Septoria leaf spot are prevalent in the Philippines due to the climate. Thus, the accurate identification of diseases affecting tomato leaves is essential. Currently, a visual inspection is the primary method for diagnosing tomato leaf diseases which is time-consuming and inefficient. This study aims to develop a quantized Residual Network with convolutional 50 layer (ResNet-50) based model to classify tomato leaves as healthy or affected by Septoria leaf spot or early blight. Furthermore, to enhance the reliability of the models’ classification, gradient-weighted class activation mapping (Grad-CAM) was implemented. In contrast with the visual inspection, a programmed system does not get tired and can provide consistent performance results. As a result, the original 32-bit floating point model attained an accuracy rate of 91.22%. The quantized 16-bit floating point model demonstrated comparable performance with 90.10% accuracy with a 50% reduction in the model size and inference time of 0.3942 seconds. The minimal accuracy loss of the 16-bit model relative to the 32-bit model is due to the post-training quantization. The reduction to 16-bit precision is significant for the future deployment of edge devices where resources are limited.

In an era marked by an ageing agricultural workforce and intensifying environmental pressures, agricultural infrastructure plays a crucial role in enhancing green productivity. This study investigates the impact of agricultural infrastructure construction and population ageing on agricultural green total factor productivity (agricultural GTFP), utilising provincial panel data from 2004 to 2022 in China. Our findings reveal that the agricultural infrastructure construction significantly boosts agricultural GTFP and significantly mitigates the negative effects of ageing on agricultural green production at the 0.01 level. Notably, different types of infrastructure exhibit varying impacts, with electricity and irrigation infrastructure demonstrating the most significant positive effects. We further identify a strong mediating effect of farmland transfer and agricultural mechanisation in facilitating infrastructure-driven agricultural GTFP growth. Our analysis reveals a pronounced regional heterogeneity, with non-food producing, central, western regions of China benefiting most from agricultural infrastructure investments. To address the challenges posed by ageing, we recommend giving priority to expanding agricultural infrastructure construction, fostering agricultural socialised services, and tailoring infrastructure programs to regional resource endowments. These strategies aim to compensate for labour shortages, enhance resource utilisation, and ultimately drive improvements in agricultural green productivity.

In recent years, China has promoted large-scale hog farming through various approaches. However, this scale-up process may be affected by economic policy uncertainty. This paper empirically examines the impact of policy uncertainty on hog farming scale-up using provincial panel data from 2016–2022 and a fixed-effects model. Our results indicate that economic policy uncertainty significantly inhibits hog farming scale-up, and this effect remains significant even when we increase the criteria for recognising scale-up, alternative estimation methods include two-stage least squares (2SLS), dynamic panel model and panel Poisson model. Mechanism analysis reveals that economic policy uncertainty not only exacerbates the impact of labour and capital factor prices on scale-up hog farming but also exacerbates the volatility of hog prices, which further raises the risks faced by hog farming and inhibits scale-up hog farming. Heterogeneity analysis reveals that the effect of economic policy uncertainty on hog farming scale-up decreases as farm size increases. Higher-level economic policy uncertainty can inhibit scale-up hog farming, while lower-level economic policy uncertainty can instead promote scale-up hog farming. Economic policy uncertainty has a more obvious inhibitory effect on scale-up hog farming in major development areas. These findings have important implications for the promotion of large-scale hog farming and related policy regulation.

In this study, the influence of microclimatic conditions in different seasons of the year (including the hottest months) on the quantitative and qualitative characteristics of ejaculates of Czech Holstein bulls was assessed. Bulls were kept in the facility with no forced ventilation or air conditioning. To determine the influence, the temperature-humidity index (THI) was calculated based on the microclimatic parameters measured directly in the facility with the animals. Bull sperm was obtained using an artificial vagina on five occasions throughout the year, in different seasons of the year including the hottest months. Semen was assessed for its volume, sperm concentration, and motility by CASA, as well as cellular viability by using flow cytometry. In the present study no statistically significant positive correlations between values of THI and sperm degradation were observed. Obtained preliminary results give grounds to believe that Czech Holstein bulls produced high-quality sperm during the summer, the hottest months of the year.

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.

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.

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.