Fulltext search in archive

The main research objective of this study is to present the dynamics of land productivity changes in EU agriculture in the years 2012–2020 and evaluate the influence of direct subsidies received by farmers on land productivity. The source data for 2012–2020 are secondary and come from Eurostat. The research results were prepared for the entire European Union (EU-28), and divided into ‘old’ countries (EU-15) and ‘new’ countries (EU-13). The results were developed using the method of assessing convergence (in terms of differences in land productivity in individual countries) using the coefficient of variation and the relative index of changes in individual Member States in relation to the EU average over the period under study. Results showed that between 2012 and 2020, average land productivity in the EU increased by 7%. At the same time, differences in land productivity between EU countries decreased. The correlation analysis confirmed a statistically significant relationship between land productivity and the amount of direct payments per ha of agricultural land. Additionally, results of the correlation between productivity per 1 ha and the total area of agricultural land in EU countries confirmed the law of decreasing marginal productivity of land.

The objective of the presented research was to create an average image of a harvester operator in Poland and to identify factors influencing the degree of mental workload. We used a survey of environmental assessments of workload. The creation of an electronic survey and the support of a company that indirectly employs operators (State Forests) made it possible to reach a large group of surveyed people. The respondents indicated the occurrence of ailments typical of sedentary work at the researched workstation. These included mainly monotony, back pain and numbness in the upper limbs. Stress at work was felt by the majority of respondents; hence the analyses of mental stress, which also translates into other diseases, should indicate key responses to questions regarding comprehensive ergonomic assessments at the researched workstation.

This study aimed to measure the whole blood viscosity (WBV) in racehorses using a new viscometer and establish reference values, as well as to investigate the correlation between the WBV and the haematological parameters and serum chemistry. WBV measurements were conducted on 51 Thoroughbred horses using a novel U-shaped scanning capillary-tube viscometer. The reference values for the WBV were determined at various shear rates ranging from 1 s^–1 to 1 000 s^–1. Correlation analyses were performed to examine the correlation between the WBV and the haematological and serum chemistry parameters. The findings provide valuable reference data for the WBV in Thoroughbred horses and enhance understanding of the relationship between the WBV and routine blood tests in equine health assessment.

Evapotranspiration (ET) is one of the main components of the hydrological cycle and plays a crucial role for water resources. It is sensitive to climate change, and therefore, estimating ET under changing climatic conditions is essential in comprehending hydrological processes, particularly in agricultural water management. In this study, the impact of climate change on ET in the Central Anatolia region of Türkiye was assessed. For this purpose, RCP4.5 and RCP8.5 climate change scenarios based on two Earth System Models, HadGEM2-ES and MPI-ESM-MR, were employed for three future time periods: 2025–2049, 2050–2074, and 2075–2098. As a baseline period for comparison, the time interval spanning 1980–2000 was considered. ET values were computed by using the Penman-Monteith equation, recommended by the Food and Agriculture Organization, along with five widely utilized methods. The study revealed a consistent increase in ET depending on the employed methods for the future period in response to climate change. The average of the ET amounts for the region was determined as 1089 mm for the reference period 1980–2000. As the average of the six methods utilized, amounts estimated by HadGEM RCP4.5, HadGEM RCP8.5, MPI RCP4.5, and MPI RCP8.5 models for the future period were obtained as 1 199, 1 285, 1 166, and 1 248 mm, respectively. Considering the results, it is found that the ET amount in the Central Anatolia region of Türkiye will increase by up to 11% by the end of this century under the optimistic RCP 4.5 scenario and by up to 19% under the extreme RCP 8.5 scenario. These findings regarding increased evapotranspiration play a significant role in water resource management and agricultural production planning in the region, holding crucial implications for sustainable agriculture.

This paper examines changes in soil physical and chemical properties in relation to tree proximity on different slopes. Topsoil and subsoil were sampled at 12 research plots on four slope types, the soil pits being placed at the base of a tree (near tree, NT) and between the test tree and an adjacent tree (between trees, BT). We observed a significant decrease in vertical topsoil response to slope on lower, middle and upper slopes, and a decrease in fine roots (R < 2 mm) on flat ground. Overall, middle and lower slopes showed the highest similarity, and upper slopes and flat ground the least, with the greatest subsoil changes observed mainly on middle slopes and least on lower slopes. There was clear topographic dependence between subsoil water stable aggregates (WSA) and C dynamics, with BT total carbon (Ctot) higher on flat ground and lower on middle slopes; unlike topsoil, where the strongest WSA correlation was with distance from the tree. The highest N : OM (organic matter) ratios occurred on middle slopes facing north-west, and lowest on lower slopes facing north and flat ground. Our findings confirm the influence of slope type on soil characteristics, with NT soil supporting soil formation by transporting water to deeper layers, especially on slopes > 5°. These observations contribute to a better understanding of the dependence of soil properties on slope type and tree position when planning sustainable forest management.

Policy constraints and market incentives have made it an important foundation for developing countries such as China to develop agricultural green transition policies. This study employed the panel data of 31 provinces in China from 2003 to 2022 and the three-dimensional framework of ‘institutions, technology, and marketisation’ to probe whether environmental regulation constraints or expected economic revenue incentives play a critical role in China’s current agriculture development. Whether the green transition of agriculture depends on environmental regulatory policy constraints and expected economic revenue incentives is related to the level of agricultural technology development and market development. Technology and market play a positive role in the agricultural green transition by enabling the realisation of agricultural green production and the realisation of the agricultural green market.

Fractures of long bones in limbs are rare traumatic events in horses. This study investigates whether the incidence and types of fractures can be related to the histomorphometric features of the radius and tibia, which experience different biomechanical stresses and exhibit varying incidences and types of fractures. Clinical observations suggest that, in adults, slightly transverse and comminuted fractures are present in the radius, while the tibia shows a higher frequency of longitudinal and spiral fractures. Microscopic observations reveal no apparent distinctive characteristics between the radius and tibia, whereas the histomorphometric data highlight differences in the osteon density, eccentricity, and diameters of the osteons and Haversian canals. To sum up, tibial osteons are more numerous and smaller than those in the radius, resulting in a 15% higher total extension of the cement line in the tibia compared to the radius. These histomorphometric differences are an evolutionary adaptation to the different biomechanical stresses that involve the thoracic and pelvic limbs. Our results could help better understand numerous clinical realities detectable through retrospective analyses and aid in evaluating a specific bone’s predisposition towards traumatic events in all mammals, including humans.

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

Technology has made it possible to achieve the very efficient use of water resources in agriculture. However, there are a set of practices that could increase both the availability and quality of the water resources, but which are not yet widely used. In view of the scarcity situation mainly produced by the consequences of climate change, the objective of this work is to analyse the adoption of sustainable irrigation management practices in agriculture. To this end, the aim is to identify and evaluate the variables involved in adopting sustainable practices in agriculture through the use of different qualitative research tools in successive phases (literature review, in-depth interviews, Delphi method and workshop). The results indicate that the sustainable practices to be adopted to improve water management in the study area are rainwater harvesting (RWH) and pond covering (PC). The main barriers are the costs, some farm characteristics and lack of research, while the facilitators include easy access to technology and the existence of farmer-to-farmer networks. Furthermore, the most influential stakeholders for these practices are the farmers, policymakers and researchers. Proposals for the adoption of sustainable water use practices have also been made consensually with all the involved agents.

In this paper, an original analysis of the direct payment rate shaping mechanism – in terms of the process and from the perspective of game theory – has been carried out. The factors determining the direct payments rates were identified. The results of measuring the impact of these factors on payments rates fluctuations were presented. The territorial scope of the study is Poland. The time range covers the years 2016–2020. The objective scope of the analysis includes four direct support instruments. It was found that the rates of sectoral area payments vary to a greater extent than the rates of general payments due to fluctuations in the area approved for a payment. The findings of this study can be used to develop a method for predicting payments rates based on the analysis of the fundamental factors. The prediction of payments rates could be used to support decision-making processes in agricultural policy. Therefore, the research results involving the decomposition of payments rates are of significant practical value in addition to their cognitive significance.

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.

This paper aims to investigate the effects of the COVID-19 crisis on small family farms in Visegrad countries and to provide evidence of how they have responded and coped with the crisis. We conducted our investigation using an exploratory qualitative research design based on 86 semistructured in-depth interviews with owners or responsible managers, and explored the effects of the COVID-19 pandemic on different areas of their businesses, such as human resources, supplier-customer relations, production, distribution channels or strategies, price of inputs and outputs and business models. Our findings showed that small family farms have been resilient in the face of the COVID-19 pandemic. Several negative impacts were identified, such as a decrease in sales due to the closure of accommodation and restaurant services, delays in the supply of inputs, and minor problems with the availability of workers, but those were perceived to be moderate. However, the COVID-19 pandemic created not only difficult challenges but also opportunities for small farms. Based on our findings, three main recommendations regarding the adaptability and resilience of family farms in Visegrad countries have been formulated: i) the importance of a diversification strategy, ii) selling through short supply chains, and iii) digitalisation of agriculture.

Soil pore is an important part of soil structure. According to the causes of formation, soil pores can be divided into biological pores formed by animal movement and plant root development and non-biological pores formed by dry-wet and freeze-thaw alternation or artificial tillage. The soil pore structure affects the migration of water, gas, nutrients and so on in the soil, especially the macropores can also produce water or solute preferential migration. Studying soil pores is of great significance for predicting soil hydraulic properties, reducing groundwater pollution and soil nutrient loss. Based on previous studies on soil pore structure, this paper systematically summarized the role of soil pores, influencing factors and the advantages and disadvantages of various research methods. This paper not only introduces traditional methods (including direct and indirect methods), but also summarizes the new research on soil pores combined with computed tomography (CT) technology and other science and technology in recent years. Finally, the prospect and development trend of soil pore research in the future were predicted, so as to provide reference for further research on soil pore structure.

The issue of productivity and performance in agriculture is significant because it affects a country’s competitiveness, sustainability, and self-sufficiency in agricultural production and is reflected in European policy. This study aims to determine which country had the most efficient large farms compared to other V4 countries and whether efficiency in each country translates into the performance of large farms. The data were obtained from the EU FADN (Farm Accountancy Data Network) database from 2005 to 2019. These data were then evaluated using the statistical methods DEA: CCR-O (Data Envelopment Analysis: constant returns to scale), DEA: BCC-O (Data Envelopment Analysis: variable returns to scale), and Pearson correlation coefficient. Regarding international comparisons in achieving efficiency as measured by DEA, Hungary is the best performer among the countries compared, followed by Czechia, Poland, and Slovakia. The correlation between efficiency and performance measured by Farm Net Value Added was demonstrated only for Hungary. The international comparison provided information about which country had the most efficient large farms, what the ranking of countries was in terms of efficiency, and for which countries efficiency had / did not have a potential impact on performance. At the same time, the relationships regarding the efficiency and performance of farms with an economic size above EUR 500 000 of standard output were clarified.

Sows are selected for their prolificacy. Therefore, assessing difficulties that can be associated with large litters is crucial. This review aims to highlight the factors that can affect reproductive performance such as breed, parity, litter size, environment, and nutrition. Understanding these factors can help producers make informed decisions about sow management and other aspects. Higher within-litter variation is the result of  a  high number of piglets born. It has been determined that large litter sizes pose a risk to animal welfare in the pig industry. Moreover, large litters bring more piglets with low birth weight leading to high pre-weaning losses. Lighter littermates struggle to get enough colostrum due to the competition with heavy littermates, which lowers their chances of survival causing high mortality. Larger litters may cause greater stress and discomfort of the sow. Therefore, applying stress-free environment and treating the sow with anti-inflammatory compounds may enhance the sow performance and consequent survival of piglets. The litter size is positively correlated with the variation in birth weight within a litter, while the average weight at birth is negatively related to litter size. Producers should therefore focus on potential management strategies that can improve piglet performance, survival and welfare such as proper supervision and adequate colostrum intake. This review highlights the historical development of the pig industry and literature on the variation in piglet weight at birth within a litter, factors influencing weight at birth, and the potential effects on the piglet performance before weaning. Also, the difficulties amongst large litters and possible strategies for managing survival in large litters were also reviewed.

Lactic acid bacteria (LAB) are commonly used in many European and Asian traditional fermented foods such as yogurt, cheese, sourdough, meat, fruit, vegetables, cereal products, sour spring rolls, fish sauce, sour shrimp, chao, ruou nep, tofu. They not only improve the flavour and texture of fermented products but also they inhibit the development of spoilage bacteria as antimicrobial agents. In this study, thirty-five traditional Vietnamese fermented products were collected for isolation, identification, and characterisation of LAB and bacilli. There were fifty-three species of LAB isolated from samples such as Lactococcus lactis, Lactiplantibacillus plantarum, Limosilactobacillus fermentum, Liquorilactobacillus nagelli, Companilactobacillus farciminis, Levilactobacillus brevis, Lactiplantibacillus pentosus, Lactococcus garvieae, Lactilactobacillus sakei, and twenty-one species of bacilli such as Priestia megaterium, Bacillus cereus, Bacillus pumilus, Metabacillus indicus. This study aimed to provide information about the occurrence of LAB and bacilli in traditional fermented foods in Vietnam and their brief characterisation.

We examine the determinants of off-farm work in Swiss agriculture between 2003 and 2013. By differentiating between the between-farm effects and the within-farm effects, our model provides new insights into the labour allocation process as compared with standard cross-sectional or panel data models. As regards the between-farm variations, our results show that younger farm families without children and farm households with higher non-agricultural education levels of both the farmer and the partner are more involved in working activities outside the farm. However, the within-farm time effects provided a more differentiated picture: impacts of changes in most variables over time tended to be smaller, and in case of two variables show opposite directions. In addition to a negative between-effect of farm income on the allocation of off-farm labour, our results on within-farm effects suggest that an increase in farm income per annual family work unit could be compatible with a higher share of off-farm work during the analysed period.

Flow cytometry (FC) is a very powerful method for the assessment of spermatozoa quality in multiple livestock species, including bulls. Nowadays, many flow cytometric tests are available for quality detection of bull sperm. These tests are based on fluorochromes (fluorescent tags or dyes) and the use of correct concentrations of fluorochromes is an essential aspect of the successful optimization of experimental methodology. Modern flow cytometers are much more affordable, such that spermatologists are now able to use FC methodology (and even image cytometry) in their studies. The present review aims to give a summary of current flow cytometric methodologies used to assess bull sperm quality by flow cytometry. Namely, we give here the concentrations of fluorochromes used in the studies related to bull sperm quality evaluation by flow cytometry published in the last three years (from 2021 to 2023). Importantly, in the present review, the concentration of fluorochromes is unified and presented using comparable molarity units. Furthermore, the rationale of each flow cytometric methodology for particular fluorescent tests, and the citation for the corresponding original methodology, are given. This review will help spermatologists shorten the time needed for the optimization of their flow cytometry methodology for the assessment of bull sperm quality.

Several antimitotic agents were tested in three embryogenic doubled haploid (DH) lines of swede (Brassica napus ssp. napobrassica). No effect on embryogenesis was observed at the given concentrations of colchicine (5 μmol/L or 50 mg/L) and treatment time of 24 hours. Flow cytometric analysis of microspore embryos revealed a significant increase in the percentage of DH compared to the control for all substances: ethalfluralin, 62.2%; trifluralin, 58.3%; colchicine, 56.1%; amiprophos-methyl, 54.4%; pronamide, 35.0%; control, 13.3%. The occurrence of pure tetraploids was low (0–5%), mixoploids – especially n+2n – were high in all treatments, including the control (29.4–71.1%). Their presence can be explained as a consequence of spontaneous diploidisation and/or endoreduplication during embryogenesis or embryo germination.

Decision support systems (DSSs) enable dairy farmers to make informed and timely decisions on herd health management. However, the lack of a disease scoring system by category and severity limits the application of this approach. In this study, we developed an innovative approach to dairy herd health management by establishing a novel scoring system for dairy herd health management aimed at providing a more nuanced understanding of disease impact. For this purpose, we retrieved 5-year data from 2 558 disease diary records of 798 primiparous and multiparous cows housed on a Czech farm and classified 125 production diseases into six categories, namely lameness, mastitis, postpartum diseases, digestive system, reproductive diseases and other diseases. Based on this metric, we developed a data-driven DSS for farm management. Using this DSS, we identified markers of disease categories for efficient veterinary monitoring on dairy farms. This DSS highlighted a decreasing trend of average monthly disease scores, yet the prevalence of postpartum and other diseases increased during the same period, due to changes in reproduction management within the herd. These findings underscore the need for data-driven targeted interventions for promoting the herd health. Therefore, our scoring model not only provides a comprehensive framework for dairy herd health monitoring and improvement but also advances dairy farming by providing a decision support system easily applicable to dairy farms based on available data recorded in disease diaries.

Many methods are used in a laboratory for packing sieved soil. Determination of soil properties is expected to vary with the applied packing method. The objective of this investigation was to test the impact of initial soil sieving duration and scraping of exposed soil surfaces on saturated hydraulic conductivity (K_s) of an initially air-dry loam soil determined by the simplified falling-head technique. Two sieving durations (5 and 30 min) were considered. A brush was used to scrape exposed surfaces for half of the tested soil columns. A long sieving yielded finer soil than a short sieving and 9–22% smaller values of K_s. Scraping the exposed soil surfaces yielded 4–17% smaller K_s values than those obtained on the not scraped columns. None of the observed differences was statistically significant. Therefore, sieving duration and treatment of the exposed soil surfaces were minor factors influencing the determination of K_s. Reaching general conclusions about sieving duration and scraping effects requires testing these factors with other soils, initial soil water conditions and K_s measurement techniques.

Eucalyptus plantations are an important source of raw materials for the Thai forest products industry. Despite its economic value, only a few noncomprehensive papers have been published about the wood properties and fungal susceptibility of eucalyptus. Our study covered the most commonly used commercial eucalyptus clones with a wide variety of sizes from eastern Thailand. We assumed that the properties of the clones would differ based on the tree sizes. The objectives of this study were to determine the effects of diameter at breast height (DBH), size, and clone type on wood properties and mould susceptibility. The optimal usage of each log characteristic based on the log quality and properties could be used to determine the maximum payoff. The wood properties and log characteristics of five eucalyptus log classes with three clones were investigated. In general, the levels of means and standard deviations were as follows: the modulus of rupture (MOR) was between 39 ± 4.9 MPa and 66 ± 5.4 MPa, and the modulus of elasticity (MOE) was between 14.5 ± 9.7 GPa and 24.0 ± 2.7 GPa. In addition, the compression parallel to the grain was between 28 ± 3.2 MPa and 43 ± 2.4 MPa, and the compression perpendicular to the grain was between 13 ± 0.7 MPa and 19 ± 1.1 MPa. The shear strength parallel to the grain was between 10 ± 0.3 MPa and 14 ± 0.6 MPa. The cleavage and hardness were from 4.7 ± 1.6 N to 7.4 ± 0.9 N and from 3.6 ± 0.3 kN to 6.2 ± 0.6 kN, respectively. The toughness and nail withdrawal were from 27.3 ± 3.5 kN·mm^–1 to 50.5 ± 1.0 kN·mm^–1 and from 28.56 ± 4.1 N·mm^–1 to 34.52 ± 2.8 N·mm^–1, respectively. Eucalyptus clone K7 had lower MOR and other mechanical properties than clones K58 and K62 except MOE. When DBH increased, the mechanical and physical property values increased as well. This happened for all clones, and especially when DBH was over 200 mm. The results of this study showed that log characteristics, such as taper, slenderness, and crookedness, should be used for log grading standards and that each fast-growing eucalyptus clone could be applied to different product classes.

Designing and constructing a road network is one of the most critical steps of the development process in managing natural resources. The current research is going to investigate the application of network connectivity indices to the analysis of road networks in the forested watershed. First, the road network suitability map (RNSM) was created to emphasize the technical and physiographic criteria and integrated management scenarios using a weighted linear combination (WLC) and analytic network process (ANP). Subsequently, three road network alternatives (RNA) were assigned based on the priorities in the RNSM. In order to try to determine the appropriate alternative, the network connectivity of the designed alternatives looked into the forest and non-forest land uses, as well as the whole study area, using the values of alpha (α), beta (β), gamma (γ), eta (η), network density (ND) and detour indices (DI) in the context of the graph theory. Results show that the road density of the RNA2 variant (11.56 m·ha^–1) is shorter than the other alternatives and the existing road network (ERN). In addition, dealing with the whole study area, we realized that the index values which are related to the number two reflect a better status than the other alternatives of alpha, beta, gamma, eta and detour index, in which they were identified to be 0.44, 1.34, 1.16, 0.45 and 0.83, respectively. RNA2 is chosen as the appropriate road network according to the network connectivity, technical and physiographical criteria, along with integrated management scenarios. Further control measures and field surveys are recommended to achieve more relevant results.

Despite numerous attempts to remove tariff and non-tariff barriers, the average number of barriers in the agricultural sector, particularly in the palm oil sector, is rising. Non-tariff effects are subjective, which makes them challenging to quantify. A new palm oil trade restrictiveness index that considers each trade barrier imposed on palm oil exports, such as tariff and non-tariff measures, is necessary to facilitate the sector’s exports. Hence, this study aims to calculate the trade restrictiveness index (TRI) of palm oil and analyse its impact on Malaysia’s and Indonesia’s palm oil exports. This study uses a gravity model with Poisson pseudo-maximum likelihood (PPML) estimation to analyse the impact of trade barriers on world palm oil export for a sample of 59 major palm oil importing countries from 2009 to 2019. The study revealed that each importing country imposes different restrictions on Malaysia and Indonesia. The TRI showed a negative and significant relationship influencing palm oil exports in the case of Malaysia, while a positive and significant relationship for Indonesia. The policy implications of this study suggest that policymakers in both Malaysia and Indonesia should take proactive steps to comply with every criterion demanded by the importing country.

The ecological and human health risks of heavy metal(loid)s (HMs) in soils around tungsten (W) mining sites have often disregarded the presence of W. In this study, we aimed to investigate the concentrations of 10 HMs (including W and other accompanying elements) in 18 agricultural soil samples obtained around a W mining site in southern Jiangxi, China. Furthermore, we determined the contamination status, source identification, and ecological and health risks of HMs in soils. Our findings revealed that HMs were extensively accumulated in soils within the study area, with the highest mean concentrations of W found. W concentrations were above background values at all sites. Multivariate analysis revealed that W mining activities, including extracting and transporting W ore, were the primary source of HMs in the soil (61.40%). The ecological risk assessment revealed that the potential ecological risk across the survey area exhibited a high risk, and the cadmium (Cd) and W should be prioritised as control pollutants for soils around the W mine site. The human health risk assessment displayed that 73.43% of children with an unacceptable non-carcinogenic risk, and W contributed the most to the overall non-carcinogenic risk (42.32%), followed by Cd and arsenic (As). In addition, 22.03% of children and 13.4% of adults were under a significant carcinogenic risk. Overall, our findings emphasise the importance of considering element W in future studies investigating the contamination of HMs around W mining areas. As such, we calculated a safe limit value for element W in soil (141.01 mg/kg) to facilitate the conservation and development of soils in W mining areas in China. Our study provides valuable information for pollution prevention and soil contamination risk mitigation in W mining areas.

Enhancing the resilience of rural households against the impacts of risks and moulding their enduring strength despite modest scale holds paramount contemporary significance for a multitude of developing nations, including China. This study uses the microdata of the China Labor-Force Dynamics Survey (CLDS), systematically measures the rural household resilience index for the first time, analyses the impact of the digital economy on the resilience of rural households, and dissects the group differences and mechanism of action. We found that from 2012 to 2018, the Chinese rural household resilience index had significant differences in time and space, and village market, gentry assistance, economic organisation, and income from collective operation were the most important indicators affecting the rural household resilience index. The improvement of the digital economy index, to some extent, suppressed the improvement of the rural household resilience index. Meanwhile, heterogeneity analysis suggested that depending on family size and housing property rights, the impact of the digital economy on the resilience of rural households will be divided. Moreover, mechanism analysis showed that the digital economy further affected the resilience of rural households through the employment comprehensive effect, income structure effect and member security effect.

Listeria monocytogenes is capable of forming biofilms on the food contact surfaces, increasing the risk of food contamination by this pathogen. The disinfectant benzalkonium chloride (BC) is commonly used to control L. monocytogenes in the food industry. This study aimed to investigate effects of BC on L. monocytogenes biofilms. Biofilm biomass was measured by the microplate method with crystal violet staining. Results from the broth microdilution method showed that the minimum inhibitory concentration (MIC) of BC against L. monocytogenes 10403S was 8 μg·mL^–1. Sub-MICs of BC inhibited the biofilm formation and lethal concentrations of BC removed mature biofilms of L. monocytogenes 10403S. The presence of BC reduced extracellular proteins and exopolysaccharides in biofilms. Additionally, upregulation of quorum sensing gene luxS and agrBDCA and downregulation of flagellum motility genes flaA, motA, and motB were observed in the presence of BC. The BC disinfectant has an excellent anti-biofilm activity against L. monocytogenes.

Negative energy balance (NEB) after calving leads to unique metabolic changes in cows and it provides important information on the period when nutrient output prevails over nutrient intake associated with a number of physiological changes in the organism suitable for detection using biochemical blood analyses. The aim of this paper is to summarise current knowledge of the changes in blood parameters during the period of NEB in relation to non-esterified fatty acids, ketone bodies, and immunologic and stress indicators. The impact of these changes on bovine reproduction and health is also discussed in the sequel. The period of NEB is still a very pertinent area of research as it provides a new insight into connections between physiological systems, to wit, ​​immunology, manifestation of various stress indicators, including oxidative stress, and heat shock proteins inter alia. Understanding the physiological changes during NEB is crucial for successful management of the transition period and subsequent overall good animal health and productivity.

Dog. Specifically created to save its master’s life. – (The dog is the ideal) Friend of man, (because it is his devoted slave) (source: Gustave Flaubert, Dictionnaire des Idées Reçues). But is man the best friend of the dog? This question is legitimate when we consider living situations to which modern domestic dogs are exposed. They often do not satisfy basic animal needs. In this narrative review, the author revisits the history of the dog’s presence alongside humans, in the light of current knowledge. The modern dog (breed standards and their interests in canine research) and its breeding strategy, including extreme breeding, will then be given particular attention. Dysfunctional human psychological processes will be explored to make it possible to grasp why the breeding of the modern dog is undergoing such a transformation. Finally, based on these factual and conceptual insights, suggestions to improve canine welfare will be proposed. To be effective, all these must be assessed against real-world conditions.