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The estimation of the level of the soil organic carbon (SOC) content plays an important role in assessing the soil health state. Visible and Near Infrared Diffuse Reflectance Spectroscopy (Vis-NIR DRS) is a fast and cheap tool for measuring the SOC. However, when this technology is applied on a larger area, the soil prediction accuracy decreases due to the heterogeneity of the samples. In this paper, we first investigate the global model performance in the LUCAS EU-wide topsoil database. Then, different clustering strategies were tested, including the k-means clustering based on the principal component analysis (PCA) and hierarchical clustering, combined with the partial least squares regression (PLSR) models, and a clustering based on a local PLSR approach. The best validation results were obtained for the local PLSR approach with R² = 0.75, root mean squared error of prediction (RMSEP) = 13.38 g/kg and ratio of performance to interquartile range (RPIQ) = 2.846, but the algorithm running time was 30.05 s. Similar results were obtained for the k-means clustering method with R² = 0.75, RMSEP = 14.61 g/kg and RPIQ = 2.844, at only 4.52 s. This study demonstrates that the PLSR approach based on k-means clustering is able to achieve similar prediction accuracy as the local PLSR approach, while significantly improving the algorithm speed. This provides the theoretical basis for adapting the spectral soil model to the needs of real-time SOC quantification. [ABSTRACT FROM AUTHOR]

This paper presents the experimental research of factors influencing the UDS 214 excavator efficiency. The hydraulic oil flow rate is measured in hydraulic circuits for controlling the moving of the bucket of the UDS 214 excavator. From the measured values, the total power losses of the individual hydraulic circuits and their efficiencies are evaluated by calculations and measurements. Furthermore, the times of the excavator cycles during a soil excavation and loading of the transport vehicle were measured. From the measured operating cycle times of the excavator, the average value of the operating cycle time was evaluated and, from this average time, the theoretical performance and the operating performance of the given excavator in the given operational states were calculated. Then, at the end of the paper, the individual calculated power losses as well as the efficiencies of the hydraulic circuits for controlling the moves of the excavator are evaluated. According to the findings, the swing hydraulic circuit of the excavator, which has the second highest power loss of 5.926 kW and its percentage in the average tested cycle time of the excavator is 48%, seems to be a suitable hydraulic circuit for the innovation. [ABSTRACT FROM AUTHOR]

In this study, the effects of Aloe vera gel and coconut oil on wound healing were investigated and compared in rats. Forty-two Wistar albino rats were used during the experiment, in which they were operated on under general anaesthesia to create two full-thickness open skin wounds (created with a 0.5 cm diameter punch biopsy apparatus) on both back sides of the median line. A total of 42 rats were divided into three groups of 14 animals each to receive the topical application of Aloe vera gel (AV group – n = 14), coconut oil (CO group – n = 14) and cold cream (CONT group – n = 14). The medical applications were performed twice a day in all the groups. The wound borders were marked on a transparent sheet every day. Afterwards, this sheet was transferred to the millimetre graph paper. On days 0, 7, and 14, the unhealed wound area was measured in all the groups. On days 7 and 14, seven rats in each group were euthanised. Then, skin samples including the intact skin were taken from the wound sites for histopathological and biochemical evaluations. The topical application of Aloe vera gel showed a significant increase in the healing process of the open wounds in terms of the clinical evaluation, histopathological and biochemical data averages when compared with the coconut oil and cold cream groups of rats (P < 0.05). The results obtained in the present study demonstrate that Aloe vera gel may provide a good alternative for the treatment of open wounds. [ABSTRACT FROM AUTHOR]

This work aims to differentiate the rural land of Slovakia in view of the possibility of effective sunflower growing. The differentiation is based on pedo-climatic and production-economic parameters. Soil categorisation took into account the correlation between the site properties (soil and climatic conditions) and the biological and agrotechnical requirements of the crops. Sunflower requirements were included in yield databases using software filters such that a given site property excluded or limited sunflower growing, which was reflected in predicted production. The prediction was subsequently interpolated into four suitability categories: soils unsuitable for sunflower growing, less suitable soils, suitable soils and very suitable soils. A map of categories of soil suitability for sunflower growing was created using a Geographic Information System on the distribution of soil parameters in Slovakia. According to our calculation in Slovakia, 18.8% of farmland is very suitable for sunflower growing, 24.9% is suitable, 16.6% is less suitable, and 39.7% is unsuitable for sunflower growing. These categories are characterised and specified in detail in the paper in terms of geographical, soil, climatic, production and economic parameters. The analysis of the actual sowing of sunflowers between 2018 and 2021 showed that 51% of the areas were located in very suitable soils, 32% in suitable, 10% in less suitable soils and 7% in unsuitable soils for cultivation. [ABSTRACT FROM AUTHOR]

The most crucial individual tree variables in forest management are diameter at breast height (DBH) and height of trees (H). Projection of stand development over time relies on accurate height-diameter functions. The main aim of this paper is to define the best usable model for tree height prediction from diameter at breast height. We explore the place where the Macedonian pine was discovered in the Baba Mountain in the Pelister National Park in North Macedonia. Thus, we established 48 experimental plots (EP) with a circle shape, a radius of 12.62 m and an area of 500 m² each. The EP were established in pure Macedonian pine stands in an elevation gradient between 950 m a.s.l. and 1 700 m a.s.l. Every tree in the EP was attributed with data for diameter at breast height, tree height, and stand characteristics data (elevation, slope, aspect, coordinate) as well. For predicting the tree height, we used 40 models from many authors which are the most usable in forest practice. Also, we prepared evaluations and tests for all models, in order to choose the best responsive model for the Macedonian pine forest. For predicting the best tree height model for Macedonian pine, we decided on Mamoun's equation, with a high correlation value of 0.85 with 73% out of the observed data. Also, this model showed a lower root mean square error of 32.65, a lower model prediction accuracy of 6.77, and a lower mean absolute percent error of 11.73%. Finally, it can be concluded that the nonlinear connection between DBH and tree height is the most responsive regression model. [ABSTRACT FROM AUTHOR]

The paper deals with the genomic evaluation of retained placenta (RP), metritis/endometritis (MET), and cystic ovarian disease (CYS) and their involvement in the selection programme of Holstein cattle. A procedure for the estimation of genetic parameters and genomic breeding values was proposed. The dataset included farmers' records of 127 000 lactations from 109 farms for RP, 185 000 lactations from 131 farms for MET and 115 000 lactations from 87 farms for CYS. The lactational incidence was 6.9% (RP), 12.8% (MET) and 9.2% (CYS). The single-trait animal model equation included fixed effects of herd-year-season of calving and parity of the cow, random direct additive genetic effect, random permanent environmental effect and residual effect. The single-step genomic prediction (ssGBLUP) was based on more than 50 000 SNP-genotyped individuals. Heritability for all traits did not exceed 2%. Favourable correlations were found between reproductive disorders resistance, fertility and longevity traits. The correlation between CYS and milk protein yield indicated a genetic predisposition to cystic ovarian disease in high-producing cows. All significant correlations between health traits (clinical mastitis, claw and feet disorders, reproductive disorders) were positive, indicating that the selection for improvement of one health trait would induce a favourable selection response in the others. [ABSTRACT FROM AUTHOR]

Most empirical studies evaluating efficiency in the agricultural sector estimate cost efficiency, assuming homogeneity across firms. However, achieving the goal of profit maximisation requires both minimising costs and maximising revenue. Unlike cost efficiency, the concept of profit efficiency considers the errors on both the input side and the output side, and thus, it is more appropriate for evaluating the overall performance of firms. This paper estimates profit efficiency and its determinants in the agricultural sector in Spain using a Bayesian stochastic frontier model with random coefficients. This methodology adequately captures the heterogeneity across firms in the industry. The results reveal, firstly, that agricultural firms in Spain are operating with an average profit inefficiency of 35.78% and, secondly, that this inefficiency is affected, albeit unevenly, by the size and age of the farm. Finally, the implications of these results for managers and public policies are discussed. [ABSTRACT FROM AUTHOR]

This paper presents the results of a two-year trial on the yield, total phenolic and flavonoid contents and total antioxidant capacity of the ‘Willamette’ red raspberry under organic and conventional farming. A trial was conducted in a commercial plantation of ‘Willamette’ raspberries located in the southwestern part of Serbia. The total phenolics and flavonoids in the raspberry fruits were determined by the Folin-Ciocalteu reagent and aluminium chloride assay, respectively. The ferric reducing antioxidant power assay was used to evaluate the total antioxidant capacity of the raspberry fruits. The results of this study showed that the raspberry yields were significantly affected by the different farming systems. The raspberry yield in conventional farming was higher than that of organic farming. Contrastingly, the raspberries from the organic farming contained higher levels of the total phenolics and flavonoids and also had a higher total antioxidant activity compared to those from the conventional farming in both 2021 and 2022. This study also showed that the total phenolic and flavonoid contents of the ‘Willamette’ red raspberry have a significant and positive correlation with their total antioxidant capacity, indicating that the phenolic compounds play an important role in the antioxidant activity of the raspberry. [ABSTRACT FROM AUTHOR]

The construction sector has a high environmental impact throughout the entire life cycle of buildings. One way to reduce the impact is to use building materials with the lowest possible environmental impact - such as wood. The use of wood-based building materials can improve the overall environmental balance of buildings. Compared to other materials, wood probably has the best environmental performance. These findings are particularly significant in the context of the environmental and legislative situation in Europe and the Czech Republic and may be one of the reasons for the increasing number of new wood-based buildings. The main reason for the research is to highlight the potential of wood as an ecological renewable material with multiple applications in all sectors of the national economy, especially in the construction industry. This paper aims to deepen the knowledge of the environmental specifications of building materials, especially wood, highlight its benefits and verify that building with natural and eco-friendly materials is less costly with lower environmental impacts. To illustrate the environmental impact of the construction industry, a case study comparing house variants was conducted to find the most suitable combinations of materials in terms of economic, environmental, and social aspects. It was found that from a sustainable development perspective, building with green materials generally means lower environmental impacts measured e.g. by global warming potential and embodied energy. This is particularly evident in the case of wood, which is not only a renewable material with advantageous thermo-technical and construction properties despite its low weight, but also stores carbon as it grows. The findings show that wood in the structure can reduce the cumulative environmental impact of the whole structure. [ABSTRACT FROM AUTHOR]

Forests cover almost one half of European land. Therefore, land taxes, including taxes from forests, are essential for a municipality's income. The land tax system is implemented on different levels, mainly nationally and locally. Therefore, many land tax features are settled by federal law, and others differ according to the local tax administrators. The objective of the paper is to compare the current laws and principles and the implementation process of forest land in Slovakia and Portugal. We have selected countries from different geographical areas of Europe. Even though the forest compositions and forest ownership differ, we aimed to identify whether the forest land tax systems can be similar. We analysed the legislation and strategic documents on the national level that helped us to describe the land tax system and its general features (e.g. taxpayer, tax rate, tax base, exemption options, tax period, or penalties). In both countries, the national tax law governs the tax implementation and settles any basic processes related to tax collection. The municipalities have the right to revise both the tax rates and exemptions. The results also show that forest owners in Slovakia have more options for tax exemptions than in Portugal. [ABSTRACT FROM AUTHOR]

This research paper addresses the hypothesis that the peptidoglycan recognition protein 1 (PGLYRP1) gene polymorphism (Tyr76His; dbSNP ID: ss104796364) has an influence on some performance traits and causes of culling in Polish Holstein-Friesian red-white cows. The study involved 134 cows kept on a farm in the southwest of Poland. PGLYRP1 genotypes TT, CT, and CC were detected. It was shown that compared with cows with genotypes CT and TT, the individuals with genotype CC were characterised by higher lifetime yields and higher amounts of lactation milk, fat, and protein. A beneficial effect of genotype CC, compared with genotype TT, was also noted in the case of the lifespan and, consequently, the length of the productive life and the average number of lactations. Diseases of the musculoskeletal system (genotypes CC and TT) and disorders of the reproductive system (genotype CT) were the most common causes of culling. An essential practical observation was the potentially higher susceptibility of cows with genotype CC to mastitis, which resulted in the necessity to cull over one-fifth of the animals in this group. Simultaneously, no cows in this group were culled due to low performance or metabolic, gastrointestinal, and respiratory diseases. Therefore, the PGLYRP1 gene seems to be a promising potential herd health marker; however, to consider it the main gene, it is necessary to extend the investigations to include more individuals and other breeds of dairy cattle. [ABSTRACT FROM AUTHOR]

Aquatic foods such as fish, shrimp, and shellfish are important human nutrient sources. However, aquatic foods spoil quickly during processing and storage due to spoilage bacteria and endogenous enzymes. Ultra-high-pressure (UHP) technology, as an advanced non-thermal treatment method, is an effective preservation technique for aquatic foods. The mechanism of UHP technology is to destroy non-covalent bonds by UHP, which leads to the change of cell membrane permeability and the destruction of high-level structure of proteins, making apoptosis and enzyme inactivation. The technology can effectively sterilise and preserve food's colour, taste and nutritional value. The paper provides an introduction to the working principles, types, sources and equipment and describes the progress of the research and application of UHP technology in pascalisation, enzyme inactivation, parasite inactivation and quality modification of aquatic products. Potential limitations and prospects of the technology are also outlined. We hope to lay the theoretical groundwork for using this technique in aquatic product processing and provide guidance for its application in industrial production. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The paper is focused on the uncertainty estimation of the mean isobaric and isochoric specific heat capacity calculation. The differences in the data among the individual sources for the technical calculation are presented in the first part of the paper. These differences are discussed in this paper. Research of scientific work with listed values of measurement uncertainties has been carried out in the second part of the paper. Furthermore, mathematical models were calculated which describe the dependence of the specific heat capacities and temperature. The maximal error models were carried out. Two approaches were used for the calculation of the mean specific heat capacity. The first approach is the calculation with help of integration of the function which describes the dependence of the specific heat capacity and temperature. The second approach is the calculation of a simple arithmetic mean of the specific heat capacity related to the maximal and minimal value of the temperature interval. The conclusion of the work shows that the time-effective second way is applicable in the case of a narrow temperature range. A value of 5.5% (?t = 200 K) was reached for the relative uncertainty. This is a similar value to that in the case of using the first way. [ABSTRACT FROM AUTHOR]

The main goal of this paper is to compare the relative technical efficiency of agriculture in Western Balkan countries to those of the European Union and to propose ways to improve the position of Western Balkan countries. The group of Western Balkan countries includes Serbia, Montenegro, North Macedonia, and Albania, which are candidate countries for European Union membership, as well as Bosnia and Herzegovina, which is currently a potential candidate. An input-oriented Data Envelopment Analysis model with the variable return to scale was applied to an 11-year period from 2006 to 2016. Input variables used in the model included labour, land, and capital, and the output was presented as the value of agricultural production. The highest average technical efficiency was achieved by the EU15 countries for the entire eleven-year period, while the Western Balkan countries had the lowest score. The source of this inefficiency was identified in lower levels of agricultural performance, e.g. a lower-level use of the primary production factors - labour and land. [ABSTRACT FROM AUTHOR]

The article presents the ongoing research, which aims to select suitable electrodes and mixtures of conductive inks, which will be used as a converter between the pressure and electrical quantities in the design of planar pressure transducers. In the described research, we continue our previous work and the work of other authors who have previously dealt with the properties of conductive inks and electrodes. Due to the only partial results in the given field, we decided to perform an extensive and original measurement of a total of 172 combinations of different electrode sizes, various conductive ink mixtures and ink layer thicknesses. Thanks to this, it will be possible, in the future, to select a suitable combination of electrodes and inks when designing pressure sensors for industrial and agricultural applications without the need to perform time-consuming preparatory measurements. The aim of the measurements is also to determine the usable working range of the pressures and the corresponding sensitivity for certain combinations of electrodes and inks, and to also exclude those variants which are unsuitable for the given purposes. This paper presents the introductory part of the measurements, which aims to verify the methodology of the measurements on a test plate at robotised workspace that is connected to a PC in real time via the program LabView. The described introductory measurements proved our methodology to be suitable to the given purpose; however, there minor problems emerged with the actual working pressure range of the transducer and the consequential necessary adjustments of the control program. [ABSTRACT FROM AUTHOR]

After 1989, Central and Eastern European countries with planned economies launched a process of transformation. In the Slovak forest policy, the main changes have been in the structure of forest ownership, increasing the share of governance mechanisms within the decision-making, and the organization of the sector. The aim of the paper is to analyse the current Slovak forest policy arrangement in relation to the socialistic political history, via the Policy Arrangement Approach. The analysis is based on literature search and consultations with forest policy experts. In total, 55 scientific publications were analysed. Subsequently, the results were consulted with four national forest policy experts. Despite the three decades-lasting transformation process, in Slovakia, forest policy is characterised by a strong influence of governmental actors, centralisation, and prevailing hierarchical use of policy instruments. Nature protection actors enter the policy arena, for instance, to expand protected areas. The top-down planning has an impact on the forest owners' performance of rights to use their forests. Non-governmental actors attempt to enforce their interests through participation mechanisms, inter-ministerial commenting procedures, and voluntary instruments. Public opinion is turning towards nature protection and forestry as such has come under pressure with its traditionalist approach. [ABSTRACT FROM AUTHOR]

The paper analyses the effect of electronic-trading (e-trading) on the wholesale prices of select commodities in agricultural marketplaces to aid agrarian income levels. Post a literature review, the researcher performed a field survey to get the opinions of 371 farmers and traders. The researcher also conducted the descriptive statistical analysis, the difference in differences analysis, and the t-test analysis to show the wholesale price improvement after the e-trading platform implementation. The field survey findings and the statistical analysis suggest an increase in average wholesale prices of select agri-commodities in select markets of India due to the National Agriculture Market (eNAM) e-trading platform effect. The suggestions to practitioners and social policymakers highlight an improvement in the functioning of e-trading in terms of better prices for farmers, lowering transaction costs, increased transaction speed, reduced administrative hurdles, improved infrastructure and eventually higher income for a farmer. The knowledge base developed in this paper will help researchers reduce the knowledge gap in agricultural pricing. [ABSTRACT FROM AUTHOR]

At present, the agro and food industry has a high influence to farmers in Thailand. Most of the raw materials of agriculture are sent to its manufactoring. This industry has an important role to raise the growth of the Thai economy. The main objective of the paper is to study the production trends and ability operations of the agro and food industry by using economic tools analyse two sub-industry sectors. The paper reviewed literatures on the performance measurement and productivity change of the business sector to obtain the relative variables and optimal methodology. The paper designed to use the panel data of the agro and food industry during the period 2011-2014. The Slacks-based Measure context-dependent Data Envelopment Analysis (SBM context-dependent DEA) was used to analyse the efficiency and ability in the Decision Making Units (DMUs) by employing the attractiveness and progress score. Moreover, the Malmquist index was used to demonstrate the change of the total productivity of this industry. Therefore, the empirical results of the paper can help the companies inside and outside the stock exchange of the agro and food industry to realize the performance level and benchmark leading to the improvement of their operation. Moreover, they help the government to develop its policy and to understand the character of the sub-industry sectors and the productivity trend in this industry. [ABSTRACT FROM AUTHOR]

This paper investigates the influences of macroeconomic policies on agricultural production and other factors affecting it, based on panel data in a global sample for the period 2010-2017. Because spatial interactions in the agricultural production levels of countries are determined, spatial panel models are employed in the analyses. According to the analysis results, countries' financial, fiscal and monetary policies have an important effect on agricultural production. Besides, other important determinants of agricultural production are climatic conditions, land use and modern input use in agriculture. Our findings have important implications, especially for countries with low agricultural production. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

This study examined the bidirectional impact of Chinese agricultural subsidy policies on agricultural efficiency and farmers' income. It employed panel data from 2004 to 2020 across 31 Chinese provinces, and the three-stage least squares method was used for simultaneous estimation. Different regions and farmer types were analysed separately. The findings revealed a significant bidirectional impact of the agricultural subsidy policy on agricultural efficiency and farmers' income, signifying a strong positive feedback loop. Varied types and levels of subsidy policies differently impacted regions and farmer categories, showcasing diverse outcomes and adaptive responses to subsidy policies. The ratio of total subsidy to GDP (SUBGDP) positively impacted production efficiency and per capita disposable income. This result suggests that the subsidy policy helped enhance agricultural production efficiency and increased farmers' income levels. Conversely, the ratio of various subsidies to the total subsidy manifested different directions and degrees of impact on production efficiency and per capita disposable income, suggesting areas where the subsidy policy framework can be optimised. In addition to presenting a theoretical discussion on agricultural subsidy policies, this study provides theoretical insights and policy recommendations for the formulation and implementation of an optimal agricultural subsidy policy. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The use of wood in outdoor conditions is of great importance for the service life of wood, and the process of thermal modification (TM) directly affects the effective value of wood products. This paper presents theoretical and experimental studies of the parameters influencing TM of wood on the changes of its physical and mechanical properties. Experimental studies were performed on thermally modified wood samples for different values of the influential parameters of thermal modification: T (°C), t (h) and ρ (g·cm–3), while the tensile strength was obtained as the output parameter. The obtained experimental data were stochastically modelled and compared with the model obtained by genetic programming. The optimization of processing parameters was performed by classical mathematical analysis and compared with the results obtained by optimization with genetic algorithm. The results of the optimal design parameters obtained by different approaches to optimization were compared and based on that the analysis of the characteristics of the presented techniques was conducted. [ABSTRACT FROM AUTHOR]

Calculating the factor of safety (FS) as slope stability factor is necessary to prevent environmental damage. Therefore, this paper aims to (i) calculate FS using the limit equilibrium approaches and Slide software and (ii) investigate the stability of slopes according to calculated FS (Janbu and Bishop methods) and status of different sites in the study area (Hyrcanian forest of Iran). Six landslides were selected along the forest road by a field survey. Landslide dimensions including length, width, and height were measured using meters. Slope gradients were measured using the Suunto clinometer. The Slide software was used to evaluate the stability analysis of slopes. According to laboratory tests on soil samples the average of the liquid limit was recorded as 58%. The results of the direct shear test showed that the rate of soil cohesion (c) and coefficient of friction angle (φ) decreased with an increase in moisture content. According to the results, the factors of safety for landslide sites (Sites 1–6) were calculated to be 1.3, 0.65, 0.76, 0.55, 1.19 and 1.51, respectively. These calculated FS can accurately determine the slope status in terms of slope stability. According to the software classification, the status of Site 1 is “susceptible to landside”. Sites 2, 3 and 4 are “very high risk”. Also, the status of Sites 5 and 6 are “high risk” and “stable”, respectively. The instability of the slopes in studied sites is related to the drainage system (lack of culverts or ditches) as well as marlstone as bedrock. According to the calculated FS in different sites and comparison of the obtained results with the real conditions of sites, it can be concluded that the slope stability analysis in the Slide software is very accurate and it can be used to determine the factor of safety under different conditions in terms of morphology, hydrology and soil mechanics. [ABSTRACT FROM AUTHOR]

This paper constructs a minimum-variance portfolio of six agricultural futures. We make a full sample analysis as well as a pre-COVID and COVID examination. Using Markowitz portfolio optimisation, we find that soybean futures have the highest share (31%) in the full sample portfolio because it has the lowest variance. Both soybean oil and rice futures have the second highest weight in the full sample portfolio, in an amount of 24%, because soybean oil has the second lowest variance, whereas rice has, by far, the lowest average correlation with other agricultural futures. Soybean oil has the highest share of 35% in the pre-COVID period, whereas rice follows with 27%. On the other hand, in the COVID period, soybean has a very high share in an amount of 47% due to the lowest risk, while rice takes second place with 19%. Based on the results, investors should invest the most in soybean oil and rice in tranquil periods, while the choice should be soybean and rice in crisis periods. Rice is the choice in both sub-periods because rice has a very low correlation with other agricultural commodities, which happens due to the price stabilisation of rice that is often conducted by Asian countries. [ABSTRACT FROM AUTHOR]

Sap flow represents water transport from roots to leaves through the xylem and is used to describe tree transpiration. This paper proposed and tested a procedure to estimate sap flow by calculating global radiation in a digital model of the tree canopy surface obtained by unmanned aerial vehicle imaging. The sap flow of nine trees was continuously measured in the field. In the digital surface model, individual canopies were automatically delineated, their parameters were determined and the global radiation incident on their surface on specific days was calculated. A polynomial relationship was found between sap flow and the calculated incident solar radiation during the morning hours with a coefficient of determination of 0.98, as well as a linear relationship between the decrease in radiation and sap flow during the afternoon with a correlation coefficient of 0.99. Using the Random Forest machine learning method, a model predicting the sap flow of the trees was created based on the global radiation and canopy parameters determined from the digital surface model of tree canopies. The resulting model was deployed on additional days and compared to field measurements of sap flow, achieving a correlation coefficient of 0.918. In addition, two linear regression models were created for a tree group, achieving coefficients of determination of 0.66 and 0.90. [ABSTRACT FROM AUTHOR]

Companies must provide economic, environmental and social added value based on innovation strategies, design and creative thinking in a globalised and competitive world characterised by rapid change and constantly evolving technologies. In this context, this paper analyses the role of design practice in companies in the agri-food sector (i.e. what is the design component present like; what are its relevance and importance?) An exploratory, descriptive study was conducted with 30 companies in southeast (SE) Spain’s fruit/vegetable sector. The findings reveal that all the surveyed companies make financial investments in design and positively value this (7.6 out of 10), which indicates they recognise its strategic and operative importance. However, integration, training and design promotion in the agri-food sector remains somewhat limited. Most companies lack an in-house design department or design professionals as staff members and perform mainly design activities limited to the visual and communication tasks related to marketing initiatives. These results unveil opportunities for enhancing design incorporation and appreciation in the agri-food sector, which could boost its competitiveness and differentiation in the market. Finally, this study can be considered a starting point for future development in line with the horticultural sector’s theory, practice, and design management policies. [ABSTRACT FROM AUTHOR]

The agriculture of Central and Eastern European (CEE) countries as well as of the Soviet Union was an often studied area in the 1970's and 1980's among agricultural economists. After the system collapse, the transition of the agricultural sectors of these regions has gained importance. However, around the millennium, this topic was less studied. This paper aims at analysing the agricultural performance of CEE and Commonwealth of Independent States (CIS) countries between 1997 and 2016 and identifying whether the system change and transition have brought changes and convergence in agricultural productivity to EU-15 levels. In doing so, the paper uses convergence theory and associated methods (Kernel density and Markov transition probability) to underpin its arguments. Results suggest that CEE and CIS countries have experienced a limited convergence to Western-European standards. However, there still exists a significant performance gap between the two regions with CEE countries standing closer to EU-15 averages. Reasons behind diverging performances are numerous as discussed at the end of the paper. [ABSTRACT FROM AUTHOR]

In this paper, we used several elaborate return-to-risk methods to investigate the risk-adjusted performances of five soft commodities. Regarding only the level of risk, we found that cocoa had the highest risk of losses, followed by orange juice. Cotton and coffee had the lowest risk of losses. However, according to the return-to-risk output, cotton was the worst asset in which to invest because it had negative average returns. In contradistinction, sugar had a relatively high risk of losses but also the highest average returns, which put it in the first place according to the Sharpe, Sortino and modified Sharpe ratios. Although orange juice had the second-worst downside risk performance, it came in second place according to the return-to-risk ratio because it had relatively high average returns. [ABSTRACT FROM AUTHOR]

The aim of this study was to revisit the relationship between productivity and performance by using the panel data model on Taiwanese food listed firms during 2008-2020. The result found that there is a U-shaped relationship between productivity and performance. On the contrary, research and development (R&D) innovation and performance have an inverse U-shaped relationship, reminding that when the food listed firms have a specific R&D innovation base, they should invest more powerful resources, professional productivity, and innovate the food listed firms. [ABSTRACT FROM AUTHOR]

The paper utilizes the data envelopment analysis (DEA) method based on the OECD policy classification to evaluate the performance of the agricultural support policy at the provincial and agricultural commodity levels from the respective viewpoints of agricultural input and output. The analysis at the provincial level mainly focuses on the similarities and differences in the performance of the agricultural support policies between the primary grain-producing areas and the secondary grain-producing areas; at the agricultural commodity level, 17 representative Chinese agricultural commodities are selected and their performance compared. The results are then used to proffer suggestions for the future agricultural support policy optimization in China. The paper found that 50% of the provinces were DEA-efficient, in general, during the study period due to the low overall province-level scale efficiency. The performance values of the secondary grain-producing areas were significantly lower than those of the primary grain-producing areas due to the overall low scale and technical efficiency values. These results show that the support policies for agricultural commodities in China altogether require a further improvement, mainly due to the low technical efficiency of agricultural commodities. [ABSTRACT FROM AUTHOR]

The paper refers to the AOQL (Average Outgoing Quality Limit) single sampling plans when the remainder of the rejected lots is inspected. These rectifying AOQL plans for inspection by variables were created by the author of this paper and published in the Statistical Papers. These new plans were compared with the corresponding Dodge-Romig AOQL plans for inspection by attributes from the economic point of view. Numerical investigations confirm that under the same protection of consumer, the AOQL plans for inspection by variables are in many situations more economical than the corresponding Dodge-Romig AOQL attribute sampling plans. The dependence of the saving of the inspection cost on the input parameters of acceptance sampling (the average outgoing quality limit, the lot size and the process average proportion defective) is analysed in the paper. Moreover, a criterion for deciding if the inspection by variables should be considered instead of the inspection by attributes is suggested in the paper. [ABSTRACT FROM AUTHOR]

Considering the relevance of the agricultural sectors for the European countries' development, but also the volatile features of agriculture, with unforeseen risks induced by climate, ensuring durable economic progress is foremost for the companies. This paper aims to assess the associations of the key parties in corporate governance (directors, managers, advisers, and shareholders), employees and the independence level with the main outcomes and capacity/size of the European companies operating in agriculture, fishing, and aquaculture activities. Using a newly compiled and complex dataset of 3 184 active companies from Europe, provided by the ORBIS database, advanced modelling approaches were employed, based on the robust regression (RREG) and Gaussian Graphical Model (GGM). The main findings emphasised that: directors, managers, and advisors had a strong positive influence on the firms' size, boosting their turnover, and the shareholders' funds; advisors induced positive connections with the companies' liquidity; the number of employees exerted positive impacts on the firms' size and outcomes of these companies; the independence level exerted a negative impact on the firms' size and outcomes. Finally, specific measures must be addressed to primarily reconsider the number of directors and managers and the shareholders' participation in the ownership of these companies due to their unfavourable exerted effects. [ABSTRACT FROM AUTHOR]

The paper presents the maps of ecosystems and 11 dominant woody species of Ambrolauri municipality, Georgia (Europe). Forest cover comprises approximately 68% of the study area, most of which are natural forests. Almost all formations of natural forests, depicted on the Georgian section of the Map of the Natural Vegetation of Europe, are still preserved in the research area. Nearly 40% of the forested land is broadleaf forest. Woody species are better preserved in the upper reaches of rivers, while an anthropogenic transformation is most visible in the Lower Racha Floodplain. A majority of the species discussed in the paper are included in the IUCN Red List of Threatened Species. The paper also deals with the issues of forest land degradation and threats imposed by invasive species to biodiversity. [ABSTRACT FROM AUTHOR]

Citation: Andric Gusavac B., Stanojevic M., Cangalovic M. (2019): Optimal treatment of agricultural land - special multi-depot vehicle routing problem. Agricultural Economics - Czech, 65: 569-578. Abstract: This paper describes a problem of optimal agricultural land treatment using aviation. The studied problem consists of determining the optimal routes for a given set of aircraft used for chemical treatment of arable agricultural land divided into parcels. This NP (nondeterministic polynomial time) problem is represented on a graph and a mixed integer mathematical programming model of the problem is formulated. This mathematical model is a specific variant of the multi-depot vehicle routing problem where a min-cost plan for the transportation of a homogeneous product (chemicals used for land treatment) from different supply locations (airfields) to different demand locations (agricultural parcels) should be generated. Some specifics of the agricultural land chemical treatment are described in the paper and the following specific conditions are taken into consideration: each parcel is treated only by one way of treatment and one aircraft; for each aircraft its chemical and fuel reservoir capacities are sufficient to serve its route. The complexity of the problem and the impossibility to obtain exact solutions for larger dimensions of the problem led to the formulation of a special heuristics which is presented in this paper. Numerical experiments are successfully conducted for larger problem dimensions and results are presented. [ABSTRACT FROM AUTHOR]

In this paper, response surface methodology (RSM) was used to study the optimised process conditions of lotus root starches modified by treatment with sodium hypochlorite (NaOCl). Based on the Box-Behnken design, quadratic models were developed to correlate the reaction variables. Analysis of variance (ANOVA) revealed that the active chlorine content was the most significant variable for the response. Under the experimental conditions in this paper, the calculated carboxyl content (CNCOOH) of obtained samples was approximately 0.98% ± 0.02% (n = 5). The spectra of Fourier transform infrared (FTIR) spectroscopy displayed that the formation of carboxyl groups successfully occurred on the oxidised lotus root starches. Scanning electron microscope (SEM) analysis showed that the oxidised lotus root starch (CNCOOH, 0.98%) granules were mostly spherical in shape and their surfaces were slightly rougher than those of native lotus root starch. This work may contribute to providing technical support and theoretical guidance for the production of oxidised lotus root starches using NaOCl as an oxidising agent. [ABSTRACT FROM AUTHOR]

This paper uses the global trade analysis project (GTAP) to evaluate the impact of grain export restrictions on world food security during the COVID-19 epidemic. The study found that export restrictions distort world market prices, which in turn distort consumption and production, harm the interests of consumers and farmers in some countries, and threaten food security. In this regard, maintaining the convenience of the food trade is the wise choice of all countries. It is necessary to tighten the World Trade Organization (WTO) disciplines related to export restrictions, strengthen global food security governance and jointly build a community with a shared future for mankind. [ABSTRACT FROM AUTHOR]

This paper deals with the sources of total factor productivity (TFP), namely technical efficiency, scale efficiency, and technological change, considering the size of agricultural producers and using balanced panel data in the period 2014-2018 drawn from the Farm Accountancy Data Network (FADN) database for three sectors of Czech agriculture - cereals, milk, and beef. The investigation is based on the stochastic frontier (SF) modelling of an input distance function (IDF) with four error components (heterogeneity, statistical noise, persistent and transient inefficiency). The sector-specific models are estimated by a four-step estimating procedure with a system generalised method of moments (GMM) estimator to address the endogeneity problem. The results reveal inter- and intra-sectoral differences in productivity drivers. In particular, the smallest producers lag considerably behind the largest ones due to the scale effect (SEC). While large farms should focus on technological change, improvements in scale and technical efficiency have been identified as the main sources of coping with productivity losses for small farmers. [ABSTRACT FROM AUTHOR]

On the complex framing of the agricultural fields, related to the corporate social responsibility (CSR), the general objective of this paper is to assess the impacts of environmental, social and governance (ESG) credentials of CSR and human capital features on the financial performance of agricultural companies. The data consists of a sample of 412 public companies from the Thomson Reuters Eikon database, with data for 2020, operating in 17 agricultural areas with headquarters allocated around the world. The methodological endeavor embeds two econometric procedures, multifactorial models of robust regression and structural equation modelling (SEM). The research results bring new evidence to underline the risks related to the sustainability of the financial performance of agricultural companies and the decisive role played by the ESG dimensions to counteract these risks, particularly by the environmental pillar, along with CSR specific strategies and human capital characteristics (management board and employees). We propose several strategies for companies operating in agricultural fields in order to enhance profitability by CSR measures. [ABSTRACT FROM AUTHOR]

Based on panel data from 2010 to 2020 of 151 A-share listed food-related enterprises in China, this research uses a fixed-effect model to analyse the impact of digital transformation on total factor productivity (TFP) in food--related enterprises. Our findings indicated that digital transformation has a positive and significant catalytic effect on TFP improvement in food-related enterprises. The mechanism test revealed that both cost-saving and innovation capacity enhancement effects of digital transformation contributed to the promotion of TFP improvement in these enterprises. Moreover, our heterogeneity analysis suggested that digital transformation is more effective in enhancing TFP in state-owned enterprises (SOEs) in the food-related industry, indicating that SOEs play a representative role in promoting advanced productivity in agricultural development. We also found that capital-intensive and technology- intensitve food-related enterprises were experiencing productivity paradox traps. Our results confirmed that digital transformation brings catch-up effects to labor-intensive food-related enterprises and those located in major grain production regions. Overall, this research can provide valuable insights for policymakers to upgrade the digital- -enabled food industry. [ABSTRACT FROM AUTHOR]

Amorphophallus spp. is an important group of crop and medicinal plants, but it is susceptible to infection by soft rot disease during both field growth and storage stages. This results in huge economic and yield losses, which must be properly addressed. Combined applications of Biological Control Agents (BCAs) and compatible chemicals have been recently considered as a more effective and reliable method to control bacterial soft rot. In the present study, we investigated the control effects against soft rot pathogenic bacteria Pectobacterium aroidearum MY11, using a BCA strain (i.e. Bacillus velezensis BCP6) and screening for three different bactericides, i.e. Jinggangmycin (JGM), Thiodiazole copper and Qingkulike. After exploring a joint application of BCP6 with chemicals, we found that JGM was the most effective and compatible bactericide to be compounded with BCP6. First, in the in vitro experiment, the mixture of JGM (34 mg/L) and suspension of BCP6 (1.0 × 108 cfu/mL) at 4:6 volume ratio performed with the strongest inhibitory effect on P. aroidearum MY11 (53.40%) and synergistic effect (1.78); this combination also significantly increased the biofilm production by BCP6, and constrained the swimming motility of P. aroidearum MY11 in agar plates and inhibited activities of cell wall-degrading enzymes. Second, the combined application of JGM and BPC6 reached up to 95.81% of control efficacy against P. aroidearum MY11 in a greenhouse experiment, and compared to JGM or BCP6 alone, combined application effectively increased konjac plant resistance to soft rot in the field, showing a synergistic action. Collectively, these results provided an alternative method for the management of soft rot disease in konjac planting. [ABSTRACT FROM AUTHOR]

Salinomycin, belonging to ionophore antibiotics, has been used as a feed additive for poultry for its coccidiostatic effect. Poisoning by ionophore antibiotics has been reported in cattle and other sensitive animals due to the replacement of medicated feed and/or accidental overdoses. The aim of this paper is to report the toxicity of salinomycin for fallow deer and to describe the different levels of sensitivity of cervids to this substance. In the presented case study, a medicated feed containing ivermectin used for deworming red deer and fallow deer was accidentally contaminated with sodium salinomycinate in a concentration of 252.6 mg/kg. The contaminated feed was consumed by the animals over a period of four days. The mortality of fallow deer within 12 days was 58%. No mortality was recorded in the red deer. In the affected animals, clinical signs associated with acute and congestive heart failure were observed. The biochemical examination indicated prerenal azotaemia caused by circulatory insufficiency and ion imbalance. The histological examination revealed pronounced focal acute cardiomyopathy and massive subacute myopathy in the skeletal muscles. [ABSTRACT FROM AUTHOR]

In this paper, empirical relationships between diameter at breast height (DBH), crown diameter (CD), and stem number per hectare (N) were improved in a Paulownia Shan Tong plantation. Various functions of these variables were defined, focusing on growing space (Gs) and stem number per hectare. The linear crown index between CD and DBH seems to be particularly important in predicting stem number per hectare. Based on an analysis of the relationships, a CD-DBH (R² = 0.7254) and a DBH-N graphic model (R² = 0.7302) can be applied widely in plantation forestry. Under suitable site conditions, the investigated Paulownia hybrid can provide a higher increment in DBH than most of poplar hybrids at a certain age. The aim of this study was to explore the relationships between the Gs based on CD and DBH. These types of investigations are of fundamental importance in terms of the growing technology of tree plantations. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

3D printing is a widely used method. In terms of developing components for electronic devices, it is important to provide good physical properties of the used dielectric. The main parameters are the optional and stable value of the relative permittivity and the minimum dielectric losses of the material. The paper focuses on testing the loss factor and relative permittivity of the following materials: polylactic acid (PLA, in two dye modifications), polyethylene terephthalate glycol (PET-G) and acrylonitrile butadiene styrene (ABS) in the frequency range of 1–100 MHz. It was proven that the values of permittivity of the tested materials were 2.9–4.2 and the loss factor was 0.8–4%. Concerning the relative permittivity, the tendency to show a mild linear drop was observed by increasing the frequency, especially expressed in the PLA materials. With the loss factor, the PLA materials displayed increasing values with an increasing frequency, whereas a declining curve was observed in the PET-G materials. The absolute value of the ABS loss factor varied between 0.9–1.5%. The reasonable influence of added dyes was elucidated upon. [ABSTRACT FROM AUTHOR]

The roasting coffee process is the compilation of time-temperature-dependent physical and chemical transformations induced by heat. Through the study of the time-temperature curve, the correct definition of the degree of roasting of coffee is an area of active and non-trivial research, which intervenes in obtaining consistent roasting profiles reflected in the acceptability of the drink perceived by consumers. This paper used the methodology of response surfaces (RSM) with the central composite design (CCD). A consumer study was conducted with 104 individuals, each tasting 13 cups of specialty coffee from Cauca-Colombia. Predictive equations for acidity and body perception were obtained. The roasting profile points in charge, turning point, yellow, brown, first crack, and drop step were included. Mathematical models predict the acidity and body perceptions by integrating the roasting profile points characteristics of coffee. The Cauca coffee beans produced using the optimied conditions contribute to obtaining a roasting time/temperature of 468 s at 192 °C, respectively, with acidity (9/15) and body (5.5/15) in the (0-15) intensity consumer's perception scale. [ABSTRACT FROM AUTHOR]

To understand and promote the importance of business sustainability in agriculture as an important societal issue, one must use the circumstances to force modern-minded management to abandon the classical model of only complying with statutory obligations and to structure the knowledge to coordinate interdisciplinary approaches to ensuring sustainable innovation. The paper analyses the role of business sustainability in promoting sustainable innovation in agriculture. The study used a factor analysis applied to a sample of 183 companies (n1 = 183) and qualitative research through focus groups (n2 = 5). The main objective was to identify the factors influencing the innovated areas in relation to sustainability. The results of the factor analysis showed a six-factor solution: process approach, corporate social responsibility, quality management system, supply chain operation processes, demand for production, and employee performance. [ABSTRACT FROM AUTHOR]

The primary sector plays a key role in any country, from both economic and social perspectives, as has been underscored by the ongoing COVID-19 pandemic. In Europe, this sector is highly dependent on the aid provided under the Common Agricultural Policy (CAP). Therefore, the distribution of this aid among the various recipients is crucial to maintaining a strong primary sector throughout the European Union (EU). This is especially true in light of the new funding for the period from 2021 to 2027 and the United Kingdom's departure from the EU. In this sense, the 93.5% of the first pillar of CAP aid consists of direct aid to farmers. The related literature has shown its effect on aspects such as sustainability and farmers' income, among others, and its distribution in specific geographical areas. In this vein, the present paper conducts a longitudinal and cross-sectional analysis of the distribution of aid across EU countries. The results show that the CAP reforms and the incorporation of countries into the EU influenced the distribution of aid. Moreover, there is a clear division between Eastern and Western EU countries, with a more equitable distribution of aid in the West. [ABSTRACT FROM AUTHOR]