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Soil salinity is a growing problem for agricultural production in irrigated areas of arid and semi-arid regions. The extent of salinity levels has not been fully studied in the Kesem irrigation scheme in Ethiopia's Afar region. The objective of the study was to identify the main issues related to soil salinity and their variations, and to assess the influence of environmental variables on soil salinity using multivariate analysis (MVA). The dominant cations in the soil were found to be soluble Na⁺, Ca²⁺ and K+ while SO₄^2-and Cl^- were the dominant anions. These ions are responsible for the salinity in the scheme. Groundwater table surveys showed that cultivated fields experienced greater fluctuations in groundwater levels compared to abandoned land due to frequent irrigation. The first two principal components (PCA) explained approximately 60% and 63% of the total variation in salinity for the top and bottom layers, respectively. The difference between the top and bottom layers suggests a management influence. According to redundancy analysis (RDA), the groundwater depth and length of irrigation years were identified as the major environmental factors contributing to 99% and 52% of the variability in salinity, respectively. These findings highlight the importance of considering the rising groundwater levels in future land management decisions.

Antibiotics used in animal feeds have recently been strictly regulated to avoid antibiotic resistance in humans. Thus, scientists are compelled to find new feed additives to replace antibiotics in feed. Apart from having a zero effect on human health, new alternatives may even be able to further improve production performance. Essential oils (EOs) and organic acids (OAs) stood out as powerful and useful replacements for both animal production and human population. These are added to chicken diets and drinking water to induce a favourable growth response. Hence, enhancing the nutrient digestibility, performance, and immunity of birds, OAs and EOs are used in livestock production mainly to inhibit the growth of harmful bacteria and simultaneously maintain the balance of intestinal bacteria. This improves the digestion of nutrients and mineral absorption which will eventually lead to better feed efficiency. The addition of OAs and EOs also causes the intestinal lining to thin, which further enhances nutrient absorption and utilization. Not only for poultry production, the effect of OAs and EOs can also improve poultry immunity and antioxidant capacity. However, the effects will vary depending on the type of OAs and EOs because their mode of action is dependent on their pKa value. In the present review, beneficial properties of OAs and EOs, as well as various dose combinations, to promote their optimal use in poultry nutrition and production will be examined. Their effects on supporting protein digestion, faster absorption of minerals, especially microminerals, stimulating growth performance, regulating antioxidant capacity, and improving immune response will be explored.

In recent years, the concept of digitalization has gained increasing attention in the field of agriculture. The adoption of digital technologies such as sensors, drones, and precision farming tools has the potential to revolutionize how agricultural production is carried out, leading to increased efficiency, productivity, and sustainability. This study examines the current state of digitisation and the use of digital tools in agriculture among Hungarian farmers. The uptake of digitalisation has been slow, and more comprehensive policies and strategies are needed to improve progress. The study shows that while there are positive developments, such as the increasing use of precision technologies, there is still a lack of digital infrastructure and skills, as well as limited access to finance and information. The study concludes by making recommendations for policy makers, stakeholders and farmers to enhance the digitalisation of agriculture in Hungary.

The study tested the effect of daily feed ration (DFR: 0.5%, 0.75%, 1.0%, 1.25%, and 1.5% of fish biomass) on juvenile pikeperch (Sander lucioperca) with an initial body weight of 21.5 ± 5.1 g and total length of 144.5 ± 8.5 mm. The pikeperch were fed floating feed at 8-hour intervals for a duration of 84 days. By the end of the experiment, the group fed DFR of 1.5% exhibited the highest body weight (51.5 ± 16.1 g) and total length (188.2 ± 17.8 mm). The weight heterogeneity, measured as the coefficient of variation (CV), ranged between 30.29 and 33.24%. The specific heterogeneity rate (SHR) ranged from 304.44 to 334.94‰/day. The group with DFR of 1.0% exhibited the highest degree of heterogeneity. Minor fin erosion was observed in the caudal fin by the end of the experiment. No significant differences were revealed in selected biochemical parameters indicating the liver, spleen, and intestinal function. All the fish tested were adequately fed, being provided sufficient nutrients for the proper growth of pikeperch. The DFR of 1.5% was evaluated as the most favourable. This amount of feed supported a higher number of values for Fulton’s coefficient (FC), specific growth rate (SGR), thermal growth rate (TGR), fish weight heterogeneity, growth of total fish biomass (BG), and optimum level of biochemical parameters in blood plasma.

Copper contamination stemming from copper-based pesticides poses a grave concern in vineyards and orchards, causing toxicity to soil organisms. Here, we present a comprehensive review of global data encompassing copper levels in these soils, coupled with variables such as the age of agricultural establishments, climate, soil organic matter content, soil pH, and farming practices (organic vs. conventional). The results suggest that there are three pivotal determinants driving copper content in vineyard and orchard soils: climate, the age of agricultural establishments, and soil organic matter content. It was impossible to estimate soil pH’s effect on soil copper content because of its dependence on precipitation. Copper content in vineyard and orchard soils worldwide follows a direct correlation with precipitation while inversely correlating with aridity (i.e. potential evapotranspiration divided by precipitation). Furthermore, a clear linkage emerges between farm age and increased copper content in soils globally. Intriguingly, the increased soil organic matter content has shown inverse impacts on soil copper levels. These effects of soil properties on soil copper contents were discussed in terms of copper losses from soil via surface runoff. However, no discernible disparities in soil copper content between organic and conventional farming systems were found. This worldwide survey not only underscores the established influence of climate on European vineyards but also sheds novel light on the historical legacy of copper contamination in these landscapes.

The aim of this paper is to investigate whether the more pro-environmental attitudes of farmers influence the technical efficiency of agricultural sectors in EU regions (NUTS-2). To answer this, I employed data envelopment analysis (DEA) for efficiency analysis combined with the double bootstrapped truncated regression to investigate the relationship between environmental attitudes and technical efficiency. I found that this relationship is positive, i.e. pro-environmental attitudes were related to greater efficiency. An increase in the environmental attitude variable by one standard deviation led to an improvement in efficiency of 2.8–6 p.p. The higher share of farmers with formal training also proved to be a positive and significant determinant of efficiency. The share of arable land on which conventional tillage was used, and soil erosion proved to be significant but negative determinants of efficiency. Policymakers should present to farmers the environmental benefits of agricultural policy but should also highlight that greater environmental awareness translates into a more efficient operation.

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.

The adverse economic and social effects of the recent increases in food prices have prompted policymakers and academics to reconsider the potential causes of such increases. This paper contributes to the existing literature by investigating the causal effects of oil prices, fertiliser prices, global economic activity, and geopolitical risk on international food price volatility between January 1993 and December 2021. The research considers the aggregate food price index and the prices of various specific foods, including cereal, vegetable oils, dairy, meat, and sugar. The Glosten, Jagannathan, and Runkle-generalised autoregressive conditional heteroskedasticity (1,1) [GJR-GARCH(1,1)] model is employed to estimate the food price volatility series, while the causality-in-quantiles test is conducted to identify the drivers of food price volatility for different volatility regimes. The analysis suggests heterogeneous results regarding the significance of causal linkages. More specifically, the aggregate food price volatility is affected by oil prices, global economic activity, and geopolitical risk under different market conditions. The causality analysis also indicates that the volatility of cereal prices is the most sensitive to the four considered variables. Likewise, geopolitical risk is the most critical factor affecting all food commodities during almost all market conditions, while oil prices and global economic activity have limited predictive power. Finally, there is strong evidence that most causal linkages are confirmed during normal market conditions. Policy recommendations are subsequently derived.

Quantification of soil health dynamics relative to grazing can inform both agriculture and conservation. We conducted an experiment near Lingle, Wyoming, USA, on a semi-arid northern mixed-grass prairie from 2017–2019. Three grazing density treatments (NG – not grazed; MRG – moderate rotationally grazed a herd of 4 Angus heifers, and UHD – ultra-high density rotationally grazed a herd of 33 Angus cow-calf pairs) were replicated four times in a randomised complete block design across twelve – 0.405 ha paddocks. Soil sampling was conducted prior to grazing in June 2017, one-week post grazing in July 2019, and six weeks post grazing in August 2019 and included a suite of forage, ground cover, soil chemical, soil physical, and soil microbiological measurements. Grazing treatment did result in lower vegetation structure but had no effect on any soil variables (P > 0.05). Conversely, the sampling interval was more influential for predicting fluctuations in chemical (15 variables significantly different within at least one treatment) or microbiological (13 variables significantly different within at least one treatment) variables than grazing treatment. The study was conducted in an intact native prairie with initial and final values indicating "Very Good" soil health, including the saturated : unsaturated fatty acid ratio, an indicator of stress.

In recent years, the external shock represented by COVID-19 has caused significant fluctuations in global corn prices. Based on the weekly data on international corn prices from 2020 to 2023, this paper constructs autoregressive conditional heteroskedasticity (ARCH) class and time-varying parameter – vector autoregression (TVP-VAR) models. After analysing the characteristics of corn price fluctuations, it further analyses the influence of external uncertainties such as COVID-19, international finance, the corn futures market, and international exports of corn on corn price fluctuations. The results show that international corn price fluctuations always have significant asymmetry. Nevertheless, the influence of past changes on the future will gradually disappear, and the corn market is not characterised by high risk and high return because of the phenomenon of flat or declining absolute returns during the periods of high volatility. All the selected external shocks also have a time-varying impact on corn price fluctuations, and there are differences in the impact size, impact direction, and impact duration. The external shocks led by COVID-19 had a transmission effect on other factors and then affected corn price fluctuations.

Rice productivity needs to be increased to feed Bangladesh’s growing population. Productivity can be increased by adopting improved varieties and management practices, which require additional capital inputs. In this article, we aim to estimate the effect of formal and semiformal credit on rice productivity in Bangladesh. We surveyed 500 rice farmers to achieve these objectives. We used descriptive statistics, propensity score matching and Heckman’s endogenous treatment effect model to analyse the data. The findings indicate that literacy, television ownership and training positively influenced access to formal credit. In general, credit recipients achieved higher productivity than did non-recipients. In the situation of credit source-specific effect, we found mixed results. Given the estimated difference of 438 kg/ha to 495 kg/ha, the results indicated that formal credit recipients had significantly higher productivity than did formal credit non-recipients. In contrast, endogenous treatment effect model results suggested that both formal and semiformal sources of credit had a significant effect on rice productivity. Increased agricultural loan disbursement through formal and semiformal credit institutions is strongly advocated. Farmers’ decision-making abilities regarding the most effective source of credit can be improved through training in financial literacy. The central bank of Bangladesh, along with the credit regulatory authorities of non-governmental organisations, can implement appropriate agricultural credit programmes for farmers.

The technological quality of the protein fraction of wheat white flour (WW) was determined by the lactic acid Solvent Retention Capacity and by the Gluten Performance Index (LA-SRC and GPI; AACC method 56-11.01). Parallelly, Perten's standard Gluten Index test (GI; AACC method 38-12.02) was performed with that wheat control. Consequently, the same methods were applied to 9 bi-composite blends mixed at ratios of 90 : 10, 80 : 20, 70 : 30, 60 : 40, 50 : 50, …, and 10 : 90 as WW replacement with one of the rye bread flours (RB), and the RB control itself. Unlike successful measurements in the case of the LA-SRC and GPI, washing gluten from the first 90 WW : 10 RB blend led to the clogging of the Glutomatic sieve, likely due to the interaction of wheat gluten with rye arabinoxylans. The discrepancy induced the development of a modification of the standard GI procedure; clogging was avoided by precipitating flour and centrifuging the swollen solid from suspension, similarly like in the SRC method. The settled residue transported to a standard sieve cassette was secondly centrifuged in the original apparatus Perten CF2015. The weighing of the overflow and underflow of the sieve and the calculation of the results were performed according to the original GI method. For the WW control, the standard GI value was 90% and the modified Gluten Index value (GI_modif) was 82%. As expected for WW-RB counterparts, the higher the portion of rye in the bi-composite blend, the lower the value of the GI_modif. For the 50 WW : 50 RB blend and the RB itself, the GI_modif values were 47% and 18% (the GPI values 0.66, 0.45, and 0.39, respectively). On the contrary, the LA-SRC demonstrated a convex course (118, 104, and 123%, respectively). In the plane of the principal components (PC), namely PC1 and PC2, the variables related to gluten quality formed 4 groups as a function of the stepwise change in the mixing ratio of WW and RB: i) flour protein content, GPI, and GI_modif; ii) LA-SRC; iii) dietary fibre content and ash content; iv) water, sucrose, and sodium carbohydrate SRCs. However, the modified test procedure should be revised in wheat varieties characterised by a wider spectrum of protein quality, mixed with different types of rye flour (especially wholegrain one).

The land in the South Tasikmalaya Regency is dominated by dry land with a steep and hilly land contour. In addition, the area has a shallow soil solum, so it has a high potential for erosion and landslides. Therefore, it is necessary to innovate an integrated cultivation system that is economically feasible, but still maintains environmental sustainability. In this research, the aim is to formulate a model for the development of integrated plantation polyculture farming (IPPF) for the welfare of farmers. The method in this study uses a mixed method design. The location of the research carried out is in the Tasikmalaya Regency. The data used are the results of interviews and questionnaires to 250 IPPF farmers. The data used were obtained by multistage cluster random sampling. The sustainable IPPF development model was analysed using Structural Equation Modelling (SEM). This analysis is used to determine the various potential capital factors for agricultural development on the sustainable development of the IPPF and farmers’ welfare. The results of the study show that the potential development capital [natural resources (SDA) capital, economic capital, socio-cultural capital, physical capital, and multifunctional IPPF], jointly or partially affect the IPPF sustainability. Human resource capital has no effect on the sustainable IPPF development, while the sustainable IPPF development affects the farmers’ welfare levels, and the potential agricultural development capital and its multifunctionality affect the sustainable IPPF development and farmers’ welfare. The IPPF development model that improves the welfare of farmers is carried out through the development of specific local superior commodities, increasing the added value and cooperation, developing access to credit, regenerating farmers, sustainable assistance and infrastructure improvements. The results of this study are expected to be a reference for the government in improving IPPF sustainability to achieve the welfare of its farmers. Apart from that, the model that has been developed can make a contribution to science in the form of a comprehensive analysis of the factors that influence the sustainability of IPPF.

Wind erosion primarily affects sandy soil in arid areas.  However, the specific winter meteorological conditions (freeze-thaw cycles) lead to the disintegration of aggregates into erosion-risk fractions even on clay soils. These changes in the winter erodibility of clay soils were investigated in an area with frequent occurrences of wind erosion in southeastern Moravia (Czech Republic, Central Europe) between the years 2014/2015 and 2020/2021.  The percentage of non-erodible fraction (NEF) before and after winter was assessed. NEF was set as particles larger than 0.84 mm and also larger than 2.00 mm (based on field observations), while soils containing less than 40% NEF have the highest susceptibility to wind erosion. Autumn NEF_0.84 content was 80 and 95%, indicating significant resistance to wind, and although there was a significant decrease in spring to 65%, it still exceeded the 40% threshold. Autumn NEF_2.00 content of 60–70% also indicates a significant resistance to wind erosion. However, spring values were well below the 40% threshold (8 to 35%), indicating significant susceptibility to wind erosion. It showed a significant negative influence of winter on NEF2.00 content and, thus, a greater susceptibility to erosion in spring compared to NEF_0.84. Our results also document vegetation efficiency on the presence of NEF.

Grey poplar (Populus × canescens) is a natural hybrid of white poplar (Populus alba L.) and Eurasian aspen (Populus tremula L.). It could play a significant role in the afforestation of marginal sites which stretch out on ever more areas due to the negative effects of local climate change. Based on stand structure analyses of grey poplar stands grown on the sandy sites of Hungary, the following relations were found: There is a strong relationship between tree height and stand volume (R² = 0.7256), as well as between basal area per ha and stand volume (R² = 0.9158). There is a moderate relationship between diameter at breast height and stand volume (R² = 0.6175). The results could contribute to a more accurate assessment of applied silvicultural technologies.

In this article, we present applied research in the field of price transmission modelling with the generalised additive model. In line with recent studies on nonlinear time series models for price transmission, we introduce a nonparametric technique of generalised additive modelling to provide evidence of nonlinear patterns in price linkages and compare the degree of nonlinearity in price transmission between feed maize and poultry product markets in the Visegrád Group countries. The results of our empirical approach contribute to knowledge about market competitiveness in the Visegrád Group countries and provide information to policymakers.

In Central Europe, the most important pioneer species are silver birch and European aspen. Changes in disturbance regime and an economic interest for this species have led to studies on this species and stands. Two naturally regenerated dense stands of birch (Betula pendula Roth – silver birch monoculture) and aspen (Populus tremula L. – European aspen monoculture) were selected from a Querceto – Fagetum mesotrophicum site to observe responses under the same conditions in Central Europe. Both stands regenerated after the allochthonous Norway spruce stands dieback at the site in 1999. Within a 10 m × 25 m transect established in both stands, the diameter at breast height (DBH) of all the trees was measured between 2015 and 2020. In addition, the height and position were recorded for all trees, and sample trees of both species were felled for biomass measurement. A higher volume production of aspen at the beginning (107.48/96.80 m³) and at the end of the experiment (178.32/143.08 m³) was accompanied with a lower above-ground wood biomass (WAB). The WAB of birch increased from 81.9 t·ha^–1 to 103.3 t·ha^–1 and aspen allocated 79.5 t·ha^–1 to 94.8 t·ha^–1 of biomass. The current annual increment of biomass for these stands was 4.3 t·ha^–1 and 3.1 t·ha^–1 in the age range of 17 to 22 years. The culmination of the volume increment has not yet occurred in any of the stands, but the mean annual increment of wood biomass has already been reached for both stands. Furthermore, the aspen stand tended to be more dynamic in terms of biomass allocation and mortality. Also, the lower self-tolerance of aspen confirmed our hypothesis: the two native pioneer species differ in their social behaviour within monospecific stands.

Plant growth regulators (PGRs) are artificially synthesized substances that control growth, development, and other various physiological processes in plants. Synthesized auxins, ethylene, abscisic acid, cytokinin, and gibberellins are only a few of the key PGRs that have been studied and used for quite a long period of time. brassinosteroids, salicylic acid, jasmonic acid, CPPU (N-(2-chloro-4-pyridyl)-N’-phenylurea), putrescine, hexanal, triacontanol, melatonin, and other chemicals have been added to the list of PGRs. These PGRs can be considered the new generation of plant growth regulators. These relatively novel hormones are critical for a plant’s growth and development. They aid in the increase of not only the quantity (fruit set, length, weight, yield, volume, pulp percentage, and so on) but also the quality of fruit crops (fruit colour, firmness, total soluble solids, total sugar, ascorbic acid content, etc). They also help to prolong the shelf life of certain fruits and minimize the losses after harvesting. As a result, these new-generation PGRs can be used to boost an orchard’s productivity and income while minimizing pre and post-harvest losses to the greatest extent possible. Hence, this extensive review discusses the impact of these new-generation PGRs on fruit crops.

The paper deals with a new method of innovative assessment of the supported effects and ecosystem services of forests using the actual amount of their increased costs. Among the most important research findings and significance of the new method is that it contributes to the body of knowledge on valuation and payment for ecosystem services. The focus of the research task is to help address the current difficult economic situation of forest owners resulting from the impacts of climate change. The study aims to determine what work quantifies the amount of compensation for the provision of supported ecosystem services that is sufficient for owners by using hypothesis testing. The evaluation of the supported effects was carried out in a case study in the area of the Chrudim-Podhůra Recreational Forests in the Czech Republic. The results of the evaluation were quantified in two experimental spreadsheets of the results, a comparative analysis of the evaluation results was performed, and hypothesis testing was conducted. The innovative methodological approach to the assessment of supported effects can be easily modified and used to assess the actual amount of increased costs of other ecosystem services of the forest.

This study focused on evaluating the effectiveness of seed treatments and different sugar beet varieties in controlling flea beetles (Chaetocnema tibialis) and sugar beet weevils (Asproparthenis punctiventris) in Croatia. The field trials were conducted in Vukovar-Sirmia County and targeted the developmental stages of sugar beet from BBCH 12 to BBCH 31. Although the sowing was done within the optimal period, no clear pattern between germination of the seeds and susceptibility was identified as the results showed different responses at different development stages and among the three variants. The experimental design comprised no insecticide, thiamethoxam + tefluthrin, cyantraniliprole, flupyradifurone and Beauveria bassiana + Metarhizium anisopliae. The results show that the treatments with thiamethoxam + tefluthrin effectively reduced pest damage only at the critical stages of development. The current findings suggest that While some of these alternative methods offer good control, they may prove insufficient when applied individually. Hence, integrating them into a comprehensive pest management approach could be necessary for effectively safeguarding sugar beet yields. Further studies should explore potential additive or synergistic benefits to enhance these strategies.

This research was carried out to evaluate the pedigree data of the Debrecen White rabbit breed. Pedigree information was supplied by the Debrecen White Rabbit Breeder Association. The final dataset contained all available information on animals registered by the breeding association up to 2023. The reference population was the active breeding stock in 2023. The estimated complete generation equivalent was 7.8, while the mean of maximum generations was 16.29 for the present stock. All individuals within the current population were inbred, with a 5.37% mean inbreeding coefficient. The division of the inbreeding coefficient showed that homozygosity is increasing in the current population. The genetic conservation index (GCI) was higher than 30 for 10.11% for the total population, and was above 38.69% for the current population.

Despite accumulating evidence for the adverse effects of magnesium (Mg) deficiency or excess on grain crops, how Mg imbalance affects plant growth and potassium (K) and calcium (Ca) nutrition in vegetable crops is still unclear. The aim of this study was to ascertain the response of plant growth, nutrient uptake and Mg-K-Ca interactions in tomato (Solanum lycopersicum L.) to various levels of Mg supply. The growth parameters and nutrient contents of hydroponic plants were measured under the Mg levels of 0, 0.5, 1.0, 1.5 and 3.0 mmol/L Mg²⁺ from seedling to fruit ripening stage. Results showed that both Mg deficiency (0 mmol/L Mg²⁺) and excess (3.0 mmol/L Mg²⁺) negatively affected shoot and root growth, leading to a noticeable decrease in total plant biomass across different stages (41.2–52.8% and 17.7–38.3%, respectively). Mg imbalance additionally altered leaf morphology and disrupted chloroplast structure. As a consequence of increased Mg levels, the Mg contents in various plant organs increased, whereas the Ca contents decreased substantially. The trend of K contents under different Mg levels was dependent on the plant growth stage. Although Mg levels did not prominently affect plant K contents during the early growth stage, they were significantly negatively correlated in the leaves and positively correlated in the fruit during the late growth stage. When translocated from roots to aboveground organs, Mg and Ca were mainly distributed in the leaves, with K preferentially distributed in the fruit. The findings of this study underscore that the symptoms of Mg imbalance generally develop from middle leaves in vegetable crops, exemplified by tomato, which is different from the pattern in common grain crops. Vegetable production necessitates nutrient supply for the middle and upper parts of Mg-deficient plants, and attention should be paid to the nutritional imbalance of Ca and K in plants under excessive Mg supply.

Soil organic carbon (SOC) is an important soil characteristic as well as a way how to mitigate climate change. Information on its content and spatial distribution is thus crucial. Digital soil mapping (DSM) is a suitable way to evaluate spatial distribution of soil properties thanks to its ability to obtain accurate information about soil. This research aims to apply machine learning algorithms using various environmental covariates to generate digital SOC maps for mineral topsoils in the Liberec and Domažlice districts, located in the Czech Republic. The soil class, land cover, and geology maps as well as terrain covariates extracted from the digital elevation model and remote sensing data were used as covariates in modelling. The spatial distribution of SOC was predicted based on its relationships with covariates using random forest (RF), cubist, and quantile random forest (QRF) models. Results of the RF model showed that land cover (vegetation) and elevation were the most important environmental variables in the SOC prediction in both districts. The RF had better efficiency and accuracy than the cubist and QRF to predict SOC in both districts. The greatest R² value (0.63) was observed in the Domažlice district using the RF model. However, cubist and QRF showed appropriate performance in both districts, too.

Studded feed rollers are widely used in seed metering units of seed drills. The flow evenness is an important indicator of the performance of studded feed rollers. With this research, the effects of studded feed rollers with different stud numbers (27, 36, and 45 studs) on flow evenness were investigated both in the laboratory and by simulation in case of using different ground speeds (1.5, 2, and 2.5 m·s^–1). While the experiments were carried out on the seed drill model prepared in the laboratory, the simulation was done with the Rocky DEM software program. In the laboratory and simulation studies, it was determined that the flow evenness increased with the increase in the number of studs and the ground speed. The results obtained from the laboratory and simulation studies show parallelism with each other. However, it was seen that the results obtained in the laboratory were slightly higher than the results obtained from the simulation. With this study, it has been seen that it would be very beneficial to use the DEM model to improve the performance of the seed metering unit and to develop a new seed metering unit.

The unique structural and biological diversity found in plants renders them a distinctive and sustainable source for discovering new antibacterial, antifungal and antiparasitic compounds. In the present study, antimicrobial and antibiofilm properties of essential oils of citrus varieties of Northeast India were studied against selected foodborne pathogens using both in vitro and in silico approaches. These essential oils showed significant antimicrobial and antibiofilm activities against foodborne pathogens. i.e. Bacillus cereus MTCC430 and Yersinia enterocolitica MTCC859. It was observed that the treatment with essential oil disturbed the membrane integrity of the pathogens, thereby causing the release of nucleic acids. This study also postulated that active compounds of the essential oils interact with different target proteins of the pathogens and provide an explanation for the mechanisms of antimicrobial and antibiofilm action of the essential oils of citrus varieties against foodborne pathogens.

Amylases are one of the biotechnologically important enzymes that have multiple applications in the food, pharmaceutical, cosmetics, textile, detergent, paper and pulp, bioremediation and nano-biotechnology industries. Amylases can be isolated from animals, plants and microbial regions, but nowadays enzymes from prokaryotic species have gained more importance. Among the microbes, amylases from Bacillus cereus have gained considerable demand in various industrial sectors. Growing industrial demand for enzymes compels the availability of enzymes in large quantities that can only be achieved by employing efficient fermentation techniques. Therefore, the current study is aimed at the statistical optimisation of the production conditions for extracellular amylase production from Bacillus strain AS2. In a recent study, the optimum amylase producing AS2 strain was identified on a molecular level, and it was found that it has close relation with the already reported strains of Bacillus cereus. The further enzyme production was optimised by using a statistical optimisation tool. A full-factorial central composite design (CCD) consisting of 53 experiments was designed using six significant variables (incubation period, pH, temperature, carbon and nitrogen source and metal ion). The analysis revealed that the optimal media concentrations were 54.34 g·L^–1 starch, 0.63 g·L^–1 CaCl₂, 1 g·L^–1 glycine, pH 7.0, 76 h, and 40 °C, respectively. A 1.23-fold increase in the enzyme yield (1 050 IU·mL^–1·min^–1) was noticed as compared to the original production level. The statistical optimisation approach gives the exact variables that influence the enzyme production and, hence, offers the best way to optimise the bioprocess. The optimised enzyme can be used in industries for various purposes such as de-sizing, de-inking, hydrolysing starch residues, etc.

Resistance to PPV and ESFY phytoplasma has been evaluated for Japanese plum (‘Aphrodite’, ‘Black Amber’, ‘Crimson Glo’, ‘Santa Rosa’) and pluot (‘Dapple Supreme’, ‘Flav Queen’, ‘Flav Supreme’) cultivars. Each cultivar was grafted by chip-budding on GF 305 peach rootstocks and infected with the virulent PPV-Rec or ESFY phytoplasma strain also by chip-budding. After bud break, cultivar evaluation consisted in observing presence or absence of symptoms on leaves, noting the symptom intensity on leaves and on the whole plant. Plants were studied in controlled conditions in a sealed screen-house for three consecutive growth periods. DAS-ELISA and RFLP-PCR analyses were also employed to verify the presence or absence of PPV, respectively ESFY phytoplasma. Results obtained in the context of this very severe biological test against PPV and ESFY phytoplasma confirm the high level of susceptibility of Japanese plum and pluot cultivars.

This paper analyses the market entry strategy of the Spanish wineries and their destination markets. For this purpose, channel adjustment was analysed. The novel aspect of this research is the use of exports on a winery level, basing the explanation of their export performance on a combination of internal decisions of the companies, and characteristics of the wine destination markets, in accordance with the purchasing patterns of their consumers. The results revealed the importance of strategic adjustment between winery and market destination, even though the importance of adjustment depends on the level of exports. Thus, channel adjustment is important for the probability of export and export intensity.

Geographical indication (GI) represents the specific good quality and reputation of the regional characteristics of agricultural products, which is a positive approach for stabilising the export of agricultural products, realising high quality and high prices for agricultural products and rural revitalisation. Based on the China-EU Geographical Indications Agreement, this paper discusses the differences between China and the European Union (EU) in terms of GI protection from three aspects: the institutional framework, the operational system, and the operational status of GIs. The purpose of the study is to identify the differences between China and the EU in the protection of GIs, China's shortcomings, and gaps, and to propose policy recommendations for China to protect GI products better, exploit the economic impact of GIs and enhance the competitiveness of China's exports.

We identify the factors affecting the participation in land accumulation of rural households by using a multinomial logit model and assess the income effects of participation in land accumulation by using the propensity score matching (PSM) method. We use household data from a rural survey in three provinces in the Red River Delta of Vietnam in 2019. Our results show that farmland accumulation is significantly correlated with age and gender of household head, as well as agricultural productive assets, non-farm income, saving and access to credit. The participation in farmland accumulation leads to an increase in total household income, although the effect is different between land increasing and land decreasing groups. We suggest enhancing access to credit and supporting non-farm activities to accelerate the accumulation of agricultural land and consequently improve household income.