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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.

Plant viruses, and aphids as their vectors, are limiting factors in sugar beet production. Viral plant diseases are currently impossible to treat but knowing the flight patterns of aphids can help in reducing the number of potential virus vectors. Monitoring of aphid flight activities in sugar beet fields was done using yellow water traps from April to the end of November. During the two years of investigation, a total of 5514 specimens from 75 different taxa were collected. The highest number of individuals was recorded at the end of May/beginning of June at all localities. This is the period when sugar beet develops intensively, so the risk of virus infection is the highest. The most numerous species were Aphis fabae Scopoli, Aphis spiraecola Patch., Phyllaphis fagi (L.), Myzus persicae (Sulzer), Rhopalosiphum padi (L.), Sitobion avenae (Fabr.), Acyrthosiphon pisum (Haris) and Therioaphis trifolii (Monell). The most important vectors are A. fabae, A. spiraecola and M. persicae. Aphis fabae is a species that feeds on sugar beet and causes significant damage both by feeding and by its vector activity. Myzus persicae was the most abundant in autumn, A. spiraecola was present throughout the whole flight-monitoring period. Among the caught aphids, twelve species alien to Europe were collected.

Surface runoff and soil losses in the case of potato cultivation using de-stoning technology on gentle slopes (Haplic Cambisol) were studied in 2020–2022. Different ridges shapes were compared: control (smooth shaped ridges), pits, pits plus loosening, pits plus loosening plus cover crop (Triticum aestivum L.) sowing in trail furrows. Runoff and soil losses were studied approximately 1 and 2 months after planting potatoes. The obtained results showed the highest reduction of surface runoff and soil losses in the treatment with cover crop sowing. In this variant, soil losses were reduced by 65–81% (1 month after planting) and 54–85% (2 months after planting) in case of simulated rainfall on the soil with natural moisture (or these losses were reduced by 51–93% and 50–76% in case of 15-min rainfall). On average, tuber yields reached 29.4 t/ha (pits + loosening) to 30.6 t/ha (pits) in 2020–2022. The different abilities of the tested shapes of ridges and furrows to retain water did not significantly affect the achieved yields of tubers, as rainfall was not a limiting factor in the monitored period. The yield differences among all tested treatments reached units of tons per hectare if the entire dose of nitrogen was applied at planting. Splitting the total nitrogen dose (50% at planting, 50% at loosening) gave significantly (P < 0.05) higher yields (34.2 t/ha) than a single application at planting. The treatment pits plus loosening with fertilisation provided a 19–26% higher tuber yield than pits plus loosening with a total N dose applied at planting.

Construction sector has high environmental impact throughout 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 by e.g. 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.

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.

Hyperspectral imaging technology has emerged as a prominent research area for quantitatively estimating soil nutrient content owing to its non-destructive, rapid, and convenient features. Our work collected the data from soil samples using the hyperspectrometer. Then, the data were processed. The competitive adaptive reweighted sampling (CARS) algorithm reduced the original 148 bands to 13, which accounted for 8.8% of the total bands. These selected bands possess a certain level of interpretability. Based on the modelling results, it can be concluded that the prediction model constructed by the least squares support vector machine (LSSVM) exhibited the highest accuracy. The coefficient determination, root mean square error, and ratio performance deviation were 0.8295, 2.95, and 2.42, respectively. These findings can provide theoretical support for the application of hyperspectral technology in detecting the content of the AHN in soil. Moreover, they can also serve as a reference for the rapid detection of other soil components.

Diarrheagenic Escherichia coli (DEC) is a common pathogen around the world that can cause disease with symptoms of diarrhoea. We collected all clinical DEC isolates from diarrhoea samples in three sentinel hospitals for active surveillance of foodborne diseases in Huzhou, China, between 2020 and 2022. The isolates were characterised according to demographic characteristics, time distribution, distribution of suspected culprit foods, antimicrobial results of susceptibility testing, analysis of virulence genes, and pulsed-field gel electrophoresis (PFGE) typing. The positive detection rate was 7.28%, the highest for enteroaggregative E. coli (EAEC) strains, followed by enterotoxic E. coli (ETEC) strains. The predominant virulence genes were astA/pic in EAEC (57.25%) and estIa/estIb in ETEC (17.94%) strains. The proportion of cases was relatively high in children aged 6 years old (15.27%), and the peak of incidence was between June and September. The rates of drug resistance in DEC were high in Huzhou, and the spectrum of drug resistance was wide. The highest rate of drug resistance was for AMP (63.51%), and multiple drug resistance was common. The household was the leading site of DEC infection, and meat and meat products were the main suspected culprit foods (18.15%). EAEC strains showed 52.4–100.00% sequence identity, and ETEC strains showed 52.2–100.00% sequence identity. All cases of DEC infection in Huzhou were sporadic between 2020 and 2022. Strengthening continuous surveillance will be useful in the risk assessment of foodborne diseases caused by DEC.

Forest structure is a key component of its management and assessment in every forest ecosystem. In the study, 23 plots were established to obtain data on the acacia forest community based on tree size. Results from the study indicated that the acacia community could be broadly divided into two groups based on tree-size variables. The diameter and height frequency distributions of Group 1 were right-skewed, while those of Group 2 were more complicated. In both groups, there were positive correlations between tree-size variables, nonetheless the relationship between diameter at breast height and total height was best described using the cubic equation. Further, the Weibull and Sinh-Arcsinh (SHASH) best simulated the diameter and height frequency distribution. High-quality trees were found in a large diameter (> 30 cm) and height groups (> 22 m). In contrast, low-quality plants often concentrated on the smallest sizes. Therefore, trees with a diameter of 2–10 cm and a height lower than 8 m should receive attention to tend. Carbon stock in the two groups was 61.48 Mg·ha^–1 and 64.21 Mg·ha^–1, respectively. Tending solutions and measurements should be carried out regularly to promptly propose silvicultural measures and improve forest quality in future.

Low-temperature drying (withering) is the first stage in black tea processing. Determination of appropriate end moisture content of green tea leaf as well as temperature and relative humidity (RH) maintained during withering eventually aid the final quality of the processed tea. Therefore, the tea leaf withering (partial drying) properties were evaluated in an environmental chamber using mathematical models. The temperatures and RH considered were 25, 30, 35 °C and 80, 85, 90%, respectively. A total of nine combinations of temperature and RH were considered by keeping one parameter constant. The conditions were taken adhering to that of the climatic conditions of Assam, India. The withering data from experiments were fitted into five drying models using the curve fitting method. The Page model gave better predictions with an R2 value of 0.9989 at 30 °C temperature and 90% RH. The total phenolic and flavonoid contents of the tea leaf samples were evaluated. The best results were 50.60 ± 0.02 mg GAE·g–1 (GAE – gallic acid equivalent) and 22.47 ± 0.01 mg QCE·g–1 (QCE – quercetin equivalent) at 30 °C withering temperature.

This study was conducted to evaluate the efficacy of yeast cell wall parts (YCW) in reducing the severity of coccidiosis in broiler chickens. One-day-old Ross 308 chicks (n = 320) were randomly allocated to 32 floor pens in two rooms with a 2 × 4 factorial arrangement of treatments. Factors were (1) challenge: negative or positive by room, (2) feed additive: control (none), anticoccidial (salinomycin at 60 mg/kg), YCW 0.1% or 0.2%. On day 8, none-challenged room was inoculated with saline, and challenged room was inoculated with 5 000 Eimeria tenella oocysts. Performance results showed that in challenged birds, feed conversion ratio (FCR) and weight gain (WG) were poorer than in unchallenged birds on day 24 and 35. Birds given anticoccidial and YCW had improved FCR and WG (P = 0.01) over the control group. Challenge and additive interactions were observed on day 24 and day 35 for FCR and WG (P = 0.01) and for feed intake on day 24 (P = 0.01). Challenged birds fed YCW on days 24 and 35 had higher WG and better FCR compared with both challenged and non-challenged controls and anticoccidial treatment. Coccidial challenge increased crypt depth (CD), villous tip and base width, and villous surface area and decreased villous height to crypt depth ratio (VH : CD) and villous height (VH). Birds fed YCW exhibited significantly decreased CD, villous tip width, villous base width, villous surface area and increased VH, VH : CD in comparison to the control group. Challenged birds fed YCW had significantly lower bursa of Fabricius follicle length compared to birds fed the control diet. Challenged birds had significantly increased serum alanine transaminase (ALT) and aspartate aminotransferase (AST) concentrations than non-challenged birds. In conclusion, these results demonstrated that the yeast cell wall has the ability to control coccidiosis.

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

The objectives of this study were to investigate the nitrogen (N) and phosphorus (P) balance fertilization strategy in paddy fields, and to evaluate the effects on N uptake and utilization in rice. In 2017-2018, the experiment was conducted using Deyou4727 hybrid rice with four different P fertilizer levels (0, 30, 60, and 90 kg/ha), marked as P0, P1, P2, P3 in turn, and four different N levels (0, 90, 150, and 270 kg/ha), similarly marked as N0, N1, N2, N3 in turn. The results showed that in the N-insufficient (N0, N1) environments, the P1 treatment increased N uptake and promoted transfer to the grain. However, high-P (P3) application increased the dry matter accumulation than other P levels, but limited the production and translocation of dry matter to some extent. In N-sufficient (N2, N3) environments, P2 level increased crop yield and N use efficiency by 11.35% and 37.01%. Unlike P2, none-P (P0) and high-P levels decreased rice dry matter translocation and transport capacity, which further affected N uptake and utilization in N-sufficient environments. Overall, the combination of the N application rate of 90 kg/ha and P application rate of 30 kg/ha, N application rate of 150, 270 kg/ha, and P application rate of 60 kg/ha had a high yield; strong nutrient accumulation and transfer ability. It was more inclined to balance N and P, which was beneficial to plant N absorption and utilization.

Pest control is one of the ecosystem services most affected by the intensification of agriculture. Pests can lead to significant losses in crop yields and jeopardise food security. In this context, installing hedgerows around greenhouses is presented as an opportunity to improve the presence of natural enemies and favour the control of pests. However, the adoption of this practice has not spread among farmers. The objective of this article is to determine the factors that affect the decision to adopt hedgerows around greenhouses by studying the case of southeast Spain. A binary logistic regression model is developed from a farmer survey of 189 farmers in the study area. The variables that are significant when explaining the installation of hedgerows are the size of the farm, the expenses, the number of methods used to combat pests, technical advice, and environmental awareness. Based on these results, action measures are proposed to promote the adoption of this practice.

The lignin content of forage crops significantly affects the livestock’s forage intake and its dry matter digestibility. The brown midrib (bmr) trait is known for its association with a reduced lignin content and increased digestibility. Pearl millet inbreds having the bmr trait were derived from two populations ICMV bmr and WRajPop bmr via continued selfing up to 6–8 generations. The results from the crosses revealed the presence of the same single recessive gene that controlled the bmr in both the populations. The stable expression of the bmr gene in the new genetic background indicated that there was no effect of modifier genes. Four inbreds were identified with the stable expression of bmr (three in ICMV 155 and one in the WRajPop background) with a high biomass potential, which can serve as a bmr source in future pearl millet forage breeding programmes.

Gluten-free (GF) bakery products differ significantly from standard wheat flour products, usually with inferior characteristics. To reproduce the visco-elastic properties of wheat flour dough, GF bread is balanced by complex formulations based on gluten-free flour and starches, including hydrocolloids. They must ensure maximum similarity with conventional products to reduce the resistance of final consumers to GF products. Identifying formulations or technologies that would help mimic the gluten matrix has been and remains the focus of research in GF product design. Most research focuses on ingredients. This study provides an overview of the various technological strategies in designing GF bakery products: technologies applied to cereals, flours, dough, and final products. The study could broaden the boundaries regarding developing, selecting, and using technologies to design GF products. It would also serve as a support for further research into the development of GF products, perhaps by leveraging local products and ingredients and adapting efficient, low-cost, environmentally friendly (including combined) technologies in such a way as to obtain products with high nutritional, rheological and organoleptic value.

This study is to explore the effects of natural tannin (NBT) on intestinal injury in piglets challenged with enterotoxigenic Escherichia coli (ETEC). Thirty-two 7-day-old piglets were divided into four groups: I) control group, piglets were fed a basic diet without challenge; II) ETEC group, piglets were fed a basic diet and challenged with enterotoxigenic E. coli; III) NBT + ETEC group, piglets were fed a basic diet with supplementation of 2 g/kg NBT and challenged with enterotoxigenic E. coli; and IV) ZnO + ETEC group, piglets were fed a basic diet with supplementation of 3 g/kg ZnO and challenged with enterotoxigenic E. coli. Results showed that diarrhoea rate was significantly increased in ETEC group, whereas it was decreased after NBT supplementation (P < 0.05); NBT supplementation significantly increased the average daily gain of ETEC-infected piglets. ETEC group showed damaged intestinal morphology (as indicated by decreased villus height, surface area and increased crypt depth) and barrier function (as indicated by decreased d-xylose content and increased diamine oxidase activity), induced oxidative stress (as indicated by increased myeloperoxidase activity) while supplementation of NBT had an obvious impact on the recovery of intestinal function and alleviated the oxidative damage. Further analysis showed that NBT could decrease the expression of genes related to intestinal injury (matrix metalloproteinase-3), and specifically upregulate the expression of oxidative stress-related genes (nuclear factor erythroid 2-related factor 2 and hypoxia inducible factor-1). Overall, dietary supplementation of NBT relieved intestinal injury and oxidative stress in piglets challenged with ETEC. NBT could be an alternative to ZnO as a feed additive in piglet diet.

In this article, we explore multiscale extreme risk interdependence between four soft agricultural markets – coffee, cocoa, cotton and orange juice. Wavelet correlation and cross-correlation are used to investigate this interlink, and dynamic conditional Value at Risk is used to measure extreme risk. Wavelet correlation results suggest a very weak connection between the markets in the short-term and midterm horizons, which means that investors who operate in the short term or midterm do not have to apply hedging measures against extreme risk. However, the situation is different in the long term, where relatively high correlations are found on the highest wavelet scale in all pairs, except coffee–cocoa. Complementary cross-correlation analysis indicates a lead–lag relationship between the markets. The results are mostly in line with expectations, as bigger markets lead smaller markets. Only in the cases of cocoa–cotton and cocoa–orange juice does the opposite happen.

Triticale (× Triticosecale Wittmack) is a hybrid cereal prepared by crossing wheat and rye. Triticale grain contains substances that have a positive effect on reducing the risk of cardiovascular disease, obesity, cancer, and type 2 diabetes, as well as increasing body's immune response and intestinal function, which warrants a need for greater attention to research on triticale crop's nutritional composition. This review covers the most recent research on the nutritional composition of triticale grain in comparison to other cereals, its role in the food industry, and its usage as a food, providing a scientific foundation for triticale's further development as a sustainable crop. Due to the wide variety of chemical compounds revealed in triticale grain, it has the potential to be utilised as a substitute cereal for various food and beverages.

Rongchang piglets were easily induced to cold stress and diarrhoea in the winter when raised in an open hog house. However, they also gradually recovered under mid-cold stress. Other studies have suggested gut microbiome might be involved in the host energy metabolism to relieve stress. To study how to adapt Rongchang piglets to cold stress by gut microbiome, thirty Rongchang piglets were randomly divided into a mild cold stress group and a control group for 30 consecutive days. The findings revealed that the piglets had low growth performance and a high diarrhoea rate and mortality rate during the first half of the cold treatment, but subsequently stabilised. The level of cortisol (COR) also displayed a similar trend. In the mild cold stress group, the relative abundance of Muribaculaceae significantly increased on day 15, and the predominant bacterial on day 30 was Lactobacillus sp. Our results indicated that the Rongchang piglet’s production performance and health were impaired at the start of the mild cold stress. However, as time passed, the body could progressively adapt to the low temperature, and Lactobacillus sp. participated in this process. This study provides new insight into how to alleviate health damage caused by cold stress.

Normal log lengths in Norway are 3–6 m (NL), but occasionally there is a demand for short timber with a 2.5 m log length (ST). There are concerns that ST could reduce the forwarders' productivity. Six type stands were created based on harvester data. Different assortment distributions, conditions, and forwarders were simulated in each type stand. It was found that an additional ST assortment almost always decreased productivity (from –15.5 to +4%). Increased forwarding distance (m), more difficult driving conditions, and increased log concentration [m³·(100 m strip road)^–1] decreased the productivity difference between sites with ST and NL and sites with only NL. Increased forwarder size increased the productivity difference between sites with ST and NL and sites with only NL. It is possible to load two stacks of ST on some forwarders. Such loading was more productive than loading one stack on longer forwarding distances, while the opposite was the case on short distances. However, loading two stacks of ST can lead to overloading.

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.

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.

We investigated the phenotypic and genetic diversity among 25 grapevine accessions of white grape maintained in a germplasm collection ex situ. The selected varieties were characterised using standardised ampelographic descriptors and microsatellite markers to obtaintheir complete description. The ampelographic analysis based on 24 OIV descriptors and the obtained first dendrogram based on common features, revealed the extent of the phenotypic diversity ranging from 0.29 (between Coarnă albă and Chardonnay) to 0.92 (between Crâmpoşie and Cioinic), without any connection with their supposed origin or the current geographic area of distribution. The SSR allelic analysis with nine standard markers proved and confirmed its high discrimination potential for genotype identification and diversity. The second cluster analysis aimed to evaluate the genetic relationships among analysed accessions,based on Dice’s similarity coefficient, revealed two groups of varieties: the first group (A) included twelve accessions with a degree of similarity between 0.37 and 0.5. The second (B) included eleven accessions, with a similarity degree between 0.33 and 0.67. The genotypic cluster analysis showed a distinct lower similarity between the Majarcă albă variety and all the varieties from the first group, and between Busuioacă de Bohotin and all the analysed varieties. The phenotypic and genetic matrices and dendrograms, although not correlated, were complimentary and provided valuable information about the diversity of the grapevine genotypes and the identification of the synonyms.

Knowledge of gene actions governing begomovirus resistance and plant architectural traits is a prerequisite for a successful hybrid breeding programme. Therefore, the gene actions associated with these traits were studied in two intervarietal crosses of Cucurbita moschata (C₁: Punjab Nawab × MVSR-6711 and C₂: Punjab Nawab × P-135). We used the generation mean analysis of six generations for this purpose. Significant differences between the generation means were observed for all the traits in both crosses. The parental lines differed significantly in most of the studied traits. The nature and magnitude of the gene effects of seventeen traits varied by trait and cross. A simple additive dominance model was adequate for the internode number, leaf length and width, petiole length, fruit weight and cavity diameter in C₁ and the number of fruits/plant in C₂. The non-allelic interaction was found to be significant for a majority of the traits including the per cent disease index of the squash leaf curl China virus, tomato leaf curl New Delhi virus and their mixed infections, which indicated, that recurrent selection in biparental progeny might be useful for the accumulation of genes with additive effects. Duplicate epistasis was observed for the vine, internodal and peduncle length in C₁ and the internode number, petiole and peduncle length, peduncle and fruit polar diameter in C₂. This information will help to establish a breeding program for the simultaneous improvement of virus resistance and yield traits in pumpkins.

Globalisation and reduced trade barriers have created a competitive business environment, requiring agri-food firms to adopt a new innovative perspective. This research study examines a network-based business model of a new venture offering services to avocado farmers and its potential impact on customer performance. A theoretical framework of a network-based business model in the agri-food sector was developed and implemented in the production of avocados. The Israeli agri-food firm, Green Fingers, was selected as the case study to analyse the value drivers of the network-based business model. The proposed business model can serve as a benchmark in evaluating other business models and developing practical strategies in the agri-food sector. The model is flexible, adaptable in meeting the evolving needs of customers and farmers, and applicable to other sectors. The model's building blocks emphasise the importance of networking and diffusing knowledge among key stakeholders, adapting to changing environments, maintaining environmental sustainability, collaborating with policymakers, and supporting farmers. The extended business model canvas may enhance the currently limited research on network-based business models in the agri-food sector from theoretical and empirical perspectives.

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.

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.

Plantain is the most important crop for the Peruvian Amazonian population, developed in recent alluvial soils rich in nutrients, but fragile and susceptible to degradation. Therefore, the impact of permanent cultivation was evaluated, through modelling, on indicators of recent alluvial soil quality and production in plantations of Musa paradisiaca L. var. Harton, in the Aguaytia River valley, Peru. The treatments were areas with permanent plantain plantations of 2 (T0), 15 (T1), 4 (T2), and 5 (T3) years of management, evaluating soil physicochemical indicators and plantain production indicators. The results show significant differences for all yield and soil indicators evaluated, except for bulk density (Bd), clay fraction, soil organic matter (OM) and N. The modelling determined a significant positive impact on Bd and a significant negative impact on pH, P, pseudostem diameter and height, commercial fingers and bunch weight. In conclusion, the modelling shows trends of quality and yield reduction in 15 years of permanent management of plantain Var. Harton, and compromises the sustainability of the agroecosystem in the medium term.

This research aims to develop an eco-friendly technique for treating seeds before sowing and improving their physiological features. The developed technique depends on utilizing synchronized electro-magnetization and microwave radiation. An electromagnetic device was evaluated to provide multiple treatment ranges. The treatments are regulated electronically according to the seeds' physiological properties and storage duration. The device was designed to accommodate small and medium seeds for a variety of strategic crops, including wheat, barley, etc. Three different treated wheat varieties were tested and compared to the control. Also, eight different levels of synchronized electro-magnetization and microwave radiation were tested. The treated wheat seeds' vegetative properties, such as germination percentage, germination rate index, germination speed coefficient, and vigour indexes, were highly significant compared to the control. The treated wheat seeds' physiological properties were highly significant. The device productivity ranged from 0.023 to 0.059 Mg·h^–1 with minimum energy consumption rates of 0.396 to 0.018 kWh·Mg^–1, while the operating costs decreased to 11.53–44.13 USD·Mg^–1.

Agricultural mechanisation is rapidly increasing in China and will have an increasing impact on agricultural total factor productivity (TFP) in the future. This study uses panel data from 27 provinces in China, spanning the years 2001‒2020, to measure agricultural TFP, and estimates the effects of mechanisation on TFP, technical efficiency, and technological progress. The results reveal that the level of agricultural mechanisation can promote TFP. TFP has a cumulative effect in the previous period, which can also significantly affect TFP in the current period. The level of agricultural mechanisation improves technical efficiency and promotes technological progress, but this is not statistically significant. Regional heterogeneity exists in mechanisation’s effect on agricultural TFP, with the largest effect occurring in the group with the lowest TFP. Therefore, efforts to promote the use of agricultural machinery should increase. China’s agricultural machinery subsidy policy must be further adjusted, and agricultural machinery research investments increased, while the government must address the heterogeneity between regions and focus on developing agricultural mechanisation in the central and western regions.