Fulltext search in archive

From 1967 to 1995, the flight activity of 25 monovoltine species of moths (Noctuidae, Lepidoptera) was monitored via a light trap located in Prague (50.09 N, 14.30 E). For each species, the day when half of the individuals were caught (peak of flight activity, PFA) was specified each year. This study addresses a method of predicting the calendar date of the PFA via thermal time. We determined a base temperature of +6 °C, at which the differences between the predicted and actual dates of the PFA were minimal. For each species and each year, the sum of the degree days exceeding the base temperature from January 1 to the date of the PFA (SumT) was determined, and the average SumT throughout the study was calculated. Each year, the predicted date of the PFA is the date when the average SumT was achieved. Sixty-five percent of the predicted PFA dates fell within ±5 days of the actual date of the PFA. Shifts in the magnitude and direction of the difference between the actual and predicted PFAs affecting concurrently all species were caused by the thermal conditions of the year.

Countries are calling for a sustainable transition of agri-food systems due to the volatility of food security in the context of climate change, and the agricultural bioeconomy may be a more dependable solution. By capturing, coding, and displaying word clouds of Chinese agricultural bioeconomy policy texts, this study deconstructs the development framework of China's agricultural bioeconomy policies based on the agricultural biosystem dimension, the policy instrument dimension, and the comprehensive dimension. It concludes that there is a clear trend of sustainable transformation and cross-sectoral linkage in China's agricultural bioeconomy policies. Overall, China's agricultural bioeconomy policies have the following comprehensive features: first, the policy is deeply integrated, considering both economic development and environmental friendliness; second, the policy is safety-oriented, taking into account competitiveness and strategy; and third, the policy is innovation-driven, taking into account fundamentality and foresight. Efforts should be made in the future to enhance the competitiveness of the agricultural bioeconomy within the framework of an all-encompassing approach to food and to help China's agricultural bioeconomy on the road to sustainable transition by improving fiscal and tax support, advocating the use of financial instruments, creating an alliance for the agricultural bioeconomy, and promoting international trade exchanges and cooperation.

The lowering of loads at gradual tree felling is the riskiest activity performed by tree climbers. During this activity, great forces emerge and act on the felled tree, while the tree climbers use the tree itself to anchor and secure their stance. This research aims to find out whether certain methods of work or the use of certain rigging for lowering loads exhibit positive features in reducing the forces acting on the anchoring point of the rigging system. The work methodology consists of three operations: (i) the calculation of the coefficient of shear friction for the combination of 4 ropes and 5 lowering devices – altogether 20 combinations; (ii) the mathematical modelling of the maximum forces acting on the lowering loads of known weight; and (iii) the verification of mathematical modelling using a series of measured experiments of lowering loads of known weight. The research results present the calculation of the shear friction coefficient for 20 combinations of rigging rope and lowering devices. The maximum magnitudes of the forces which may act on the upper anchoring point of the rigging system at the known load weight were additionally calculated. A total of 240 force values were measured when a load of 12 kg in weight falls according to a predetermined model situation. The results indicate that the greatest influence on decreasing the impact force generated by the falling load is that of the load attachment, reduced load weight, shortened length of the fall or elongation of the total rope length in the rigging system. The differences in the coefficients of shear friction are apparent in the results of measurements, too.

Drought is a major abiotic stressor that limits crop growth and is often associated with oxidative stress. We evaluated whether foliar silicon (Si) application affects primary root anatomy, plant height, and phenolic metabolism in three common buckwheat (Fagopyrum esculentum) cultivars (La Harpe, Panda, and Smuga) exposed to water deficit. Plants were grown under controlled conditions in four treatments: control; drought; control + Si, and drought + Si. Qualitative anatomical assessment revealed that Si promoted more advanced development of the primary root central cylinder, most notably in La Harpe under drought conditions, where a continuous ring of secondary xylem and a well-developed pith were observed. Drought significantly reduced plant height in all cultivars; Si partially alleviated this reduction in La Harpe and Panda, but not in Smuga. Drought generally increased total phenolic content (TPC) and phenolic acid content (PAC) in both leaves and roots, and Si further enhanced these responses, with the highest values under drought + Si. Overall, the results indicate cultivar-dependent effectiveness of foliar silicon (Si) and suggest that Si contributes to coordinated structural and biochemical adjustments under water deficit conditions. To assess the transferability of these responses, further verification across a broader range of genotypes and under different intensities and durations of drought is warranted.

Soil salinisation is a key determinant in soil fertility decline, exerting a direct negative impact on soil organic carbon. In the context of global warming, investigating the response mechanisms of soil organic carbon pools with varying salinity levels to climate change is essential for accurately assessing the carbon cycle and emission potential of degraded soils. Based on soil samples (B1–B6) collected along a coastal salinity gradient, indoor incubation experiments were conducted at 15 °C and 25 °C to characterise soil respiration and its temperature sensitivity (Q10). Double-exponential models were used to simulate soil organic carbon (SOC) mineralisation, characterising active and stable organic carbon pools. The results demonstrated that the Q₁₀ value of the stable organic carbon pool (7–8% of SOC mineralisation) was 103% higher than that of the active organic carbon pool (the initial 1% of SOC mineralisation). The Q₁₀ value of the stable organic carbon pool was 32.6% higher at the high-salinity sites (B1, B2) than at the low-salinity sites (B4, B5). Soil organic carbon, total nitrogen (TN), and total salt (TS) were key regulators of Q₁₀. The Q₁₀ of the active organic carbon pool correlated positively with SOC and TN but negatively with TS, whereas the stable pool showed the opposite trends. The stable organic carbon pool exhibits a salinity-amplified Q₁₀, implying that predictive models must account for this mechanism to avoid substantially underestimating carbon losses from degraded saline soils.

Fungal pathogens Plasmopara viticola (Berk. & M.A. Curtis) Berl. & De Toni (downy mildew) and Erysiphe necator Schwein. (powdery mildew) represent the biggest threats for grape growers worldwide. Under suitable conditions, these pathogens can spread very quickly through vineyards and cause significant damage. The most ecological way to reduce the possibility of infection in vineyards is growing interspecific genotypes which are able to suppress these pathogens and stop the spread of infection. With this in mind, 9 international and 11 Czech grapevine genotypes were analysed in order to genotype the resistance loci present in them. As a tool a set of SSR markers linked to known loci of resistance to downy and powdery mildew was used. Namely, presence of four loci responsible for resistance to Plasmopara viticola (Rpv3, Rpv4, Rpv7, and Rpv10) and two for Erysiphe necator (Ren3 and Ren9) loci were analysed with respective SSR markers. By this way the degree of resistance gene pyramiding was newly assessed in all analysed cultivars and their perspectives in grapevine breeding are discussed.

The forest dynamics of the Ore Mountains (Krušné hory), Czech Republic, reveal a historical decline of natural mixed forests, especially those dominated by the Hercynian mixture and European beech (Fagus sylvatica L.), due to the expansion of metallurgy and glassmaking in the 15^th century. This led to large-scale reforestation with Norway spruce [Picea abies (L.) Karst.], resulting in single-layered monocultures. Although these monocultures provided valuable timber, they proved highly susceptible to both biotic and abiotic stressors. Throughout the 20^th century, the stability of these forests further deteriorated due to air pollution (notably SO₂ emissions), the unsuitable selection of substitute species, and the proliferation of pathogens. The cumulative impact of these disturbances caused soil acidification, degradation, and weed encroachment, severely limiting the regenerative capacity of forest ecosystems in this region. This article presents model examples of species composition shifts, spatial structure changes, and evolving management practices in the Ore Mountains. It discusses strategies for establishing diverse and resilient stands that align with long-term forest planning goals. These approaches aim to maintain both productive and ecological functions of forests under changing environmental conditions while minimising restoration costs. Importantly, forest management and conversion strategies must also account for economic optimisation, ensuring that ecological goals are met in a financially viable manner. The strategies and case studies presented here offer promising, albeit preliminary, directions for future forest management. Their broader application will require further refinement and long-term experimental validation to ensure sustainability in both ecological and economic terms.

The aim of the research was to examine the influence of different light treatments on the growth, phytochemicals and antioxidant potential of broccoli microgreens. Plants were grown in a growth chamber under LED (light-emitting diode) cold white, red and blue light and under fluorescent cold white light (control). The results showed that white and blue light treatments were the best for microgreen growth. Higher concentration of pigments was recorded in plants grown under LED light compared to those grown under FL (fluorescent lamp) light. The content of phenols and flavonoids had a positive and significant correlation with DPPH (2,2-diphenyl-1-picrylhydrazyl) antioxidative capacity (r = 0.66 and r = 0.90, respectively). The first two principal components account for 97.92 % of the total variation of all observed traits in this trial. Based on the PCA (principal component analysis) results, it can be concluded that the traits total phenols content, carotenoid content, chlorophyll a and b content make up the largest share of variability in the obtained results and that the red light conditions were the most unfavourable for the content of phytochemical compounds and antioxidant potential.

The aim of this work was to study the use of different types of wood products by the G20 countries. In the current scenario, every country is concerned about the severe exploitation of forests and the ensuing lack of markets for timber. Production and consumption of wood and wood products by the G20 countries account for 85% of global GDP and two-thirds of the world's population. Data for the study includes eight major categories of wood products in the G20 countries from 2004 to 2021: industrial raw wood, sawlogs and veneer logs, sawn wood, wood fuel, wood-based panels, paper and paperboard, pulp for paper, wood pellets, and other agglomerates. Autoregressive integrated moving average (ARIMA) models were used to predict the production, export, and import behaviour of wood and wood products from 2022 to 2030. According to the findings, the G20 countries would consume 1 644.6 million m³ of industrial raw wood in 2030, followed by 984.8 million m³ of sawlogs and veneer logs, 454.7 million m³ of sawn wood, 882.5 million m³ of wood fuel, 406.2 million t of paper and paperboard, 199.4 million t of pulp for paper, and 51.7 million t of wood pellets and other agglomerates. This study provides decision-makers with an analysis of the production and consumption of wood product markets in the G20 countries, which can be used for policy decisions.

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

The objective of this study was to verify the accuracy of the quantitative PCR (qPCR) method for in vivo detection of Macrorhabdus ornithogaster. A total of 100 faecal and gastric mucosa samples from avian cadavers were investigated, using cytological and qPCR techniques (budgerigars, Fischer’s lovebirds, red-crowned parakeets, scarlet-chested parrots, eastern rosellas, domestic canaries, zebra finches, white Java sparrow). Using qPCR, the probability of detecting positive samples of droppings was significantly higher than in the faecal smear microscopy (P < 0.01). Cytology detected the presence of Macrorhabdus ornithogaster in 34 faecal samples, whereas qPCR detected 54 positive samples. In all 46 qPCR negative faecal samples, gastric smear qPCR was performed and also yielded negative results. Gastric smear qPCR was also performed in 20 cadavers where faecal qPCR has detected the presence of Macrorhabdus ornithogaster and in all samples confirmed the positive result. This verifies the accuracy of faecal sample qPCR for intravital diagnostics. Overall, the faecal qPCR technique appears to be extremely reliable, as it made it possible to detect all infected individuals, including those with negative stool or gastric cytology.

This study develops and validates a multilayer diffusion model of wheat grain hydration that incorporates layer-dependent diffusion coefficients for bran, endosperm, and germ. The moisture transport is formulated using Fick’s law with two interface formulations: (i) classical continuity of the concentration and flux and (ii) an interlayer resistance formulation that permits concentration discontinuities. Diffusion coefficients and geometric parameters were determined experimentally; A 3D grain model (structured-light scanning, COMSOL Multiphysics) informed the computational domain. Numerical solutions combined eigenfunction expansions with finite-difference discretisation near the interfaces. Across eight winter wheat varieties, the diffusion coefficients spanned 11.6 – 20.5 × 10–12m2·s–1 (mean 16.27 ± 3.08 × 10–12m2·s–1 ). Relative to the continuity model, the resistance model reduced the early-stage endosperm over-prediction by ~ 0.6–1.0 % (absolute) and lowered the whole-grain RMSE by ~ 20–30% over 0–240 min. These results support the role of thin moisture-retaining films as active barriers and yield smooth, real-time-ready outputs suitable for the automated control of pre-milling hydration; the framework is extensible to full 3D transient simulations.

This study contributes to the limited body of research on mergers and acquisitions in primary agriculture by examining how large corporate agroholdings achieve profitable post-acquisition growth for the farms they acquire. Using System GMM estimation, we analyse farm-level data from 648 farms acquired by agroholdings in Ukraine between 2005 and 2016. Our findings show that agroholdings facilitate post-acquisition growth and performance improvements by employing several integration strategies. Specifically, they leverage horizontally integrated structures to: (i) consolidate land resources of acquired farms to achieve scale economies; (ii) reallocate farm resources toward more profitable production lines; and (iii) intensify production on acquired farms. These results support established firm growth theories, namely, the independence of firm growth rates from firm size (Gibrat's law) and the existence of Penrosean limits to growth.

In the context of the modern EU bioeconomy, the use of industrial crops, particularly castor beans (Ricinus communis L.), is relevant for the production of industrial and energy products without competing with food crops. Castor oil is used for the production of biodiesel, lubricants, paints and coatings, cosmetics, and pharmaceuticals. In Ukraine, castor beans can be cultivated on low-yield soils, with seed yields ranging from 1.5 t/ha to 2.1 t/ha depending on the variety. However, the morphological features of the fruits and uneven ripening complicate the mechanisation of harvesting and seed cleaning processes. Existing equipment designed for other crops cannot be applied due to the risk of damaging the castor seeds. A design of a castor seed cleaning machine has been proposed, combining mechanical fruit shelling with the aerodynamic separation of the mixture. The machine is equipped with an eccentric crushing cone, rubber linings, a pneumatic separation channel, a cyclone, and an automated control unit. As a result of numerical modelling and experimental studies of the process of separating and cleaning castor seeds, dependencies were obtained for the productivity of the developed machine Q, power consumption P, specific energy consumption E, fraction of unshelled fruits (segments) ξ_f, content of the clean seed in the seed collector ψ_s-s depending on the distance between the reverse and crushing cones δ, rotation frequency of the crushing cone n, diameter of the feed opening D_in, inclination angle of the crushing cone axis γ, and airflow velocity V. A multi-criteria optimisation method was applied to find the optimal operating modes: δ = 10.8 mm; n = 282 rpm; V = 3.6 m/s; D_in = 98 mm; γ = 3.6°; β = 20.3°. The following results were achieved: E = 0.0394 MJ/kg; Q = 163.4 kg/h; P = 1 861 W; ξ_f = 0.099; ψ_s-s = 0.958. The obtained results confirm the efficiency of the proposed design for industrial implementation.

The potential of the framework of precision agriculture points towards the emergence of site-specific weed control. In light of the phenomena, the search for a cost-effective approach can help the discipline to accelerate the practical implementation. The paper presents a near-infrared data-driven machine learning model for real-time weed detection in wide-row cultivated maize (Zea mays) fields. The basis of the model is a dataset of 5 120 objects including 18 species of weeds significant in the context of wide-row crop production in the Czech Republic. The custom model was subsequently compared with a state-of-the-art machine learning tool You only look once (version 3). The custom model achieved 94.5 % identification accuracy while highlighting the practical limitations of the dataset.

This paper deals with the verification of models for the calculation of the contact area with the soil using data measured during the testing of a tractor-and-trailer unit. The main emphasis was put on the method of calculating the contact area by means of a super ellipse. The comparison included calculation models with the input parameters of contact length and contact width of the tyre. These parameters were compared with values measured in the field where the main variables were tyre dimensions, inflation pressure and load. Results of comparisons show that the method of calculating the contact area using a super ellipse exhibited the best match with the measured values of all compared calculation models (81% in super ellipse with measured half-axes and 75% in super ellipse with calculated half-axes). As to trailer tyres, the match of measured values and those calculated using a super ellipse was even 95%. In the second step, also some empirical models for calculating the contact area were compared with the measured data, not entered by contact length and contact width as variables. Some of these models show a very good match with the measured data, which can be compared, or it is even higher than the calculation by means of a super ellipse. With the specified tyre deformation, however, we consider the model of calculation using a super ellipse as more appropriate for determining the size of contact area as it focuses on the geometry of tyre contact with the ground.

The Ellenberg quotient (EQ) is a climate index defined as a ratio of the hottest month's temperature and the average annual precipitation sum. The quotient indirectly expresses the relationship between climate and vegetation, and its application is related to the ecological niche of Fagus sp. Although the quotient was curated on the grounds of field research primarily on German vegetation, the possibilities of its utilisation are not limited to the Central European region. The objective of this study is (i) to compare the EQ values calculated for the forest vegetation zones in the Czech Republic with the published data using the ecological niche of Fagus sylvatica; and (ii) to compare the new EQ-based vertical model with field empirical mapping. The study area is the Czech Republic, Central Europe. We used climate data from 1970–2000 and the data of the National Forest Inventory, 2^nd cycle (2011–2015), representing an objective data design. Geospatial analytic methods, machine learning (boosting), and verification through statistical testing were performed. The results indicate higher EQ values between the two most substantial spatial frames – the Hercynicum and Carpaticum regions. By comparing empirical mapped units to their climatic potential (in the EQ), a match was found only within the Carpaticum region. The study presents a concretisation of the general climate index for a specific region, adds to the knowledge about the Fagus ecological niche in context with the Central European vegetation, and also points to the EQ's potential for evaluating the concept of vertical differentiation of forest communities, as well as a possible prediction tool for the vegetation migration in context with climate change.

Urinary N-acetyl-β-d-glucosaminidase (NAG) activity is associated with kidney disease. In our study, we focused on evaluating the ratio of NAG to the urinary creatinine concentration (NAG/Cr) in the German Shepherd breed. Sixty-two healthy dogs and thirteen dogs with chronic kidney disease (CKD) were examined. The healthy dogs were divided into groups based on their sex and age (puppies and adolescent dogs under 2 years, adult dogs from 2 to 6 years and seniors over 6 years), while the dogs with CKD were divided based on the disease stage (CKD stage 1 and 2). No significant difference was detected between the males and females. Regarding the age dependence, significantly higher values were found in dogs older than 6 years (P = 0.020 3) compared to dogs aged 2–6 years. When comparing the healthy dogs to the dogs with CKD, the lowest NAG/Cr ratio was observed in the dogs with CKD stage 2. The reference interval for NAG/Cr in the German Shepherd was established in the range of 0.78–7.86 U/gCr. We observed no correlations with the commonly used markers of kidney disease such as creatinine, urea, or symmetrical dimethylarginine. Nevertheless, we encourage the further investigation of NAG in relation to CKD, taking the breed, sex and age of the patients into account.

The paper proposes a new soil evaluation system using the principle of the Saaty method. The Saaty method has been modified and named Soil Assessment System (SAS). Significance weights are assigned to individual soil characteristics (indicators). This provides a more detailed differentiation of the significance of the indicator on soil quality and a more accurate assessment, especially in marginal cases where the assessment by the methods used so far has not been fully conclusive. In addition to physico-chemical properties, other criteria are taken into account to assess not only productional but also non-productional functions. The possibility of using indicators referring to a broader context (e.g., soil sealing value) is also important, thus enabling a comprehensive assessment of the quality of the land. This results in points for individual sampling locations. Soils are categorized according to the number of points and results are shown on maps.

Determination of the urinary protein-to-creatinine ratio (UPC) is an important tool in the quantification of proteinuria in animals. However, the result may be affected by the different methods of determining the urinary protein concentration. The aim of this study was to compare the turbidimetric method using benzethonium chloride and the colorimetric method using pyrogallol red in the measurement of the urinary protein concentration in dogs, cats, guinea pigs and horses. A total of 464, 192, 216 and 119 urine samples from dogs, cats, guinea pigs and horses were examined in the study, respectively. The group consisted of animals of both sexes and different ages, and, in the dogs and cats, it included both healthy animals and those with various health problems. In the group of horses and guinea pigs, only clinically healthy animals were included. A total of 347, 185, 103 and 100 samples from the dogs, cats, guinea pigs and horses were used in the statistical analysis; the other values were excluded as they were below the detection limit. According to the Passing-Bablok analysis, there was a significant constant and proportional difference in the horses. In the dogs, cats and guinea pigs, there was a significant constant difference, but no proportional difference. The Bland-Altman method showed significant bias between the two methods in the horses and cats, but not in the dogs and guinea pigs. In the dogs and cats, the agreement between the two methods was tested and expressed as Cohen’s kappa (κ). In the cats, it was almost perfect for the proteinuric samples (κ = 0.823 3) and significant for the non-proteinuric samples (κ = 0.804 9). In the dogs, the agreement was significant for the non-proteinuric samples (κ = 0.621 5) and only moderate for the proteinuric samples (κ = 0.527 5). The influence of the method used to determine the urinary protein concentration should be taken into account when evaluating the UPC. Repeated examinations in one patient should be performed with the same method.

The study assessed the relationship between rib fat thickness and carcass price among different carcass weight groups in Korean native cattle (Hanwoo), taking into account changes in the beef grading system. Data from 8 926 Hanwoo steers, with an average age of 30.6 ± 1.88 months and slaughtered between 2017 and 2019, were analysed. The variables considered included rib fat thickness, carcass weight, eye muscle area, marbling score, and carcass price. Steers were categorised into eight carcass weight groups ranging from 250 kg to 650 kg in the original system, rib fat thickness consistently had a negative impact on carcass price, with partial coefficients of rib fat thickness on carcass price ranging from –1.96 to –46.5 depending on the carcass weight groups. Conversely, in the revised system, the impact of rib fat thickness varied from negative to positive, turning positive at the 450 kg carcass weight group. These findings may guide decision-making in beef cattle production and feeding strategies under the revised grading system.

The physiological performance, growth and competitive ability of fruit trees are increasingly affected by the effects of global climate change, very different at a regional level, which mainly causes considerable changes in water availability. The purpose of this study was the evaluation of three sweet cherry cultivars from the Research Station for Fruit Growing (RSFG) Iași, Romania under the climatic conditions of 2022–2023 by performing physiological investigations into the water regime and the transpiration process through the stomatal conductance, the water content of the leaves as well as their dehydration rate after 24 hours. The obtained data were statistically interpreted taking three experimental factors into account: factor A consisted of three distinct phenological stages (full flowering, fruit about 80% of the final size and fruit ripening); factor B constituted by the three cultivars (‘Van’, ‘Andreiaș’ and ‘Margonia’); and factor C was constituted by the canopy area from the samples (internal and external). The experimental variants statistically interpreted by Duncan’s test (P ≤ 0.05) registered significant differences. The Pearson correlation coefficient (R²) between the measured variables obtained positive distinctly significant values of R² = 0.686 (with the stomatal conductance) and negative distinctly significant values of R2 = –0.874 (with the water content). The obtained results will support the development of predictive models for different irrigation and breeding strategies to improve the sweet cherry production in temperate continental climates.

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.

The present study aimed to test the possibility of avoiding expensive retesting of the whole parental generation for single nucleotide polymorphisms (SNPs), to provide additional analysis of microsatellites in offspring in the transitional period and to analyse the likelihood of imputation of the International Society for Animal Genetics-recommended microsatellite markers from selected SNPs. The imputation and pedigree verification of 9 520 animals (representing 84 dairy bulls, 285 dairy cows, 3 202 beef bulls and 5 949 beef cows) were analysed by the method using 9 410 SNP haplotypes (incorporating an average of 73 SNPs per haplotype). The imputation method was confirmed to allow the parentage verification of up to 87% of the analysed animals without the need for retesting. The most problematic locus was TGLA53, with only 78% successful imputation. Seven loci (BM2113, ETH225, TGLA227, BM1824, SPS115, TGLA122 and TGLA126) had more than 90% imputing accuracy and success of imputation. The success of imputation also depends on the breed and the call rate of the test results. The highest imputation accuracy was found for the Holstein breed; the other six breeds had over 90% successful imputation rates, four breeds had imputation rates between 85.0 and 89.9%, and ten breeds (rarely bred in the Czech Republic) had imputation rates below 85.0%. A call rate of SNP tests lower than 90% indicates problems with haplotype construction and thus deterioration in the success of imputation. The analysis of a possibility of using all possible information from Illumina BovineSNP50K BeadChip v3 showed 109 SNPs encoding 51 quantitative trait loci markers. Haplotypes were designed for interpretation of the most important markers for diseases, exterior and performance. The most important markers for Holstein breeders were chosen as kappa- (variants A, B and E) and beta-casein (variants A1, A2), Holstein haplotypes affecting fertility (HH1, HH3, and HH4) and loci causing genetic defects, bovine leukocyte adhesion deficiency and deficiency of uridine monophosphate synthetase. The results estimated from bovine bead chips corresponded to the expected distribution of the incidence of these traits in the population and were verified by PCR-RFLP tests.

The substantial increase in grain production stimulated by traditional agricultural direct subsidies has been accompanied by a concomitant decrease in ecological quality, precipitated by excessive application of chemical fertilisers, which has generated countervailing effects that fundamentally undermine the positive effect of subsidy policies on agricultural output. Consequently, the mitigation of agricultural pollution and the elevation of ecological quality have emerged as pivotal directions for the reform of agricultural subsidies. Using both time-varying difference-in-differences (DID) models and spatial DID models in this study, we examined the effect of agricultural 'three subsidies' reform on agricultural fertiliser nonpoint source pollution (AFNSP), drawing on China's province-sector panel data from 2008 to 2022. The empirical evidence yields several salient findings. First, the three subsidies reform can significantly reduce AFNSP and improve ecological quality. Second, the large-scale operation of agricultural households and the enhancement of agricultural production efficiency serve as effective pathways for the three subsidies reform to reduce AFNSP. Third, the implementation of the three subsidies reform engenders significant spatial spillover effects, which play a crucial role in reducing overall regional AFNSP. Fourth, the efficacy of the three subsidies reform exhibits heterogeneity across diverse agroecological contexts and farming cultures. Last, the reform has resulted in notable improvements in agricultural ecological quality, thereby reinforcing food security capabilities. These findings not only offer valuable reference for refining agricultural subsidy reform but also contribute to the development of a comprehensive framework that simultaneously safeguards agroecological security and food security.

Agricultural informatisation (AgI) is hailed as a 'game-changer' for farmers worldwide, even as climate change increases agriculture's vulnerability to climatic risks and threatens sustainable agrifood production. While AgI aspires to help alleviate hunger and poverty in smallholder farm households by improving on-farm productivity through the promotion of sustainable agricultural practices (SAPs), limited empirical evidence exists on the AgI–SAPs nexus, particularly under severe environmental stress such as drought. We analysed data from a survey of maize farmers in central Zambia – a country exemplifying the impact of severe drought, declared a national emergency and disaster – to explore whether and how AgI can optimise SAP adoption and improve crop yields. Given the potential endogeneity of AgI adoption, we employed a recursive bivariate probit (RBP) and endogenous-treatment regression (ETR) to estimate the former and the latter, respectively. We focused on adoption portfolios of three AgI tools – radio, television and mobile phones – and five SAPs: minimum tillage, residue retention, planting basins, improved seed varieties and irrigation. The results reveal that AgI adoption significantly influences SAP adoption, with varying impacts across different AgI and SAP portfolios. Importantly, the adoption of productivity-enhancing SAPs, particularly improved seed and drip irrigation, produced the largest yield effects (124.46 g/capita/day) for AgI adopters. This increase potentially contributes 43.21% towards daily maize-supply quantity, which is crucial for helping households meet the minimum recommended daily caloric intake. The study therefore underscores that AgI plays a critical role in improving yields through SAP adoption, serving as a compelling pathway for agricultural resilience, especially under adverse climatic conditions. These insights align with the United Nations Sustainable Development Goals (SDGs), particularly those aimed at zero hunger, climate action and poverty alleviation, which advocate re-thinking and transforming food-production strategies.