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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.

Advancements in technology have recently enabled to assess soil aggregate stability (SAS) using digital devices. To address the need for a faster and more efficient method of measuring SAS, we have developed a simple yet effective approach using a specialized device. The innovative method named SlakeLight involves measuring the changes in light transmittance as aggregates undergo slaking. The device consists of the measuring chamber, which is placed on a LED light source with a surface-homogeneous distribution of luminosity. During the disintegration process of aggregates immersed in water, reduction in the light emitted to the photodiodes is proportional to SAS. The functionality of the device was tested using topsoil samples from two field fertilization trials. The recorded SAS_trans values were compared with the wet sieving method (WSA) and SLAKE test. The new method showed a strong correlation with both reference methods (r = 0.89 for WSA, r = –0.86 for SLAKE). The device was able to detect a statistically significant differences in SAS between the grassland and the cropland at both sites. Although differences in SAS_trans were not significant between different fertilization treatments unlike WSA, the simplicity and speed of the measurement increase the potential of the method for practical implementation in agriculture, surpassing the limitations of traditional and labor-intensive laboratory techniques.

The aim of this study is to investigate the correlation between the incidence of spontaneous tumours of various origins and the localisation in dogs with sex, breed, and age factors. A total of 360 tumours with various localisation were studied pathomorphologically. Histopathologic data sets from 360 dog tissue samples were processed and statistically examined. A chi-square test of independence was conducted to examine the relationships among the various levels of the specified variables. Logistic regression models were employed for dichotomous outcomes to ascertain the influence of certain explanatory variables on the tumour types. Characteristic pathomorphological changes observed during examination of dogs with oncologic diseases were determined. The most common neoplasms were mammary tumours, accounting for 43% of the cases. The mammary gland tumours were most common in mongrel dogs (25%), with German Shepherds (17.3%), Poodles, Dachshunds, Central Asian Shepherds (6.7% each), and Rottweilers (5.7%) following. The highest frequency of these tumours appeared at 8 years of age, predominantly originating from the ductal epithelium, which represented 46.4% of all the malignant cases.

This study aimed to examine the antifungal effects of nine monoterpenes on Sclerotinia sclerotiorum via the mycelial growth rate method. The effects of carvacrol on the morphological structures of hyphae were investigated by scanning electron microscopy (SEM). The oxalic acid (OA), total protein contents, and the activity of cell wall-degrading enzymes, including chitinase, cellulase and β-1,3-glucanase, were assessed. The results showed that the antifungal rates of carvacrol, thymol and eugenol reached 100% at a concentration of 400 mg/L, and the EC50 values of carvacrol, thymol, and eugenol were 43.40, 56.22, and 86.63 mg/L, respectively. The treatment of S. sclerotiorum with carvacrol had no significant effect on sclerotia formation, but the mycelial surface was shrivelled, uneven and broken, with cytoplasm flowing out. The OA content of S. sclerotiorum was significantly reduced to 133.78 µg/mL after treatment with carvacrol. Additionally, the total protein content of S. sclerotiorum mycelia in the carvacrol treatment group was significantly reduced to 15.67 µg/mL compared with that of the control group, and the activity of cellulase in the carvacrol treatment group was significantly higher than that in the control group.

Sri Lanka, as a developing tropical country, faces serious environmental challenges. Forests, as important ecosystems of Sri Lanka, are under pressure from intensive human activities and climate change. Invasive species represent a great hazard to autochthonous plant species and ecosystems, which are, at the same time, hosts to extraordinarily high biodiversity, of which a high percentage is endemic. In this paper, we reviewed the most challenging environmental problems of Sri Lanka and suggested the improvement of a number of them through silvicultural measures and cooperation with international experts, namely Czech foresters. We also reviewed the main forest biomes and addressed the specific problems and management of different forest types.

Aronia melanocarpa is one of the many fruit types rich in polyphenolic compounds. Therefore, we used this fruit in our research as a possible natural antioxidant, which was added to pork sausages. Four groups were prepared: control group, a group with ascorbic acid, and groups with 3 and 5 mL·kg^–1 of chokeberry extract. During storage, we monitored changes in pH, colour, texture and oxidative stability of pork sausages and sensory evaluation. We did not observe any negative effects of the extract on the quality of pork sausages during storage. Regarding oxidative stability, the lowest increase in malondialdehyde (MDA) was observed in the group with 5 mL·kg^–1 of chokeberry extract, which was comparable to the group with ascorbic acid.

Entomopathogenic fungi (EPF) represent the future of pest control, as they have the capacity to induce serious infections in insects, trigger epizootics, and effectively manage insect populations. The study aimed to identify and test indigenous EPF isolates against Tribolium confusum using soil samples from Northwestern and central Saudi Arabia. Galleria mellonella larvae were used as insect bait to collect EPF from soil samples from date palm groves, fruit groves, and maise fields. Only 27.3% of soil samples tested positive for palm grove-originating EPFs. Polymerase chain reaction (PCR) identified the cultured fungi as Metarhizium anisopliae and Beauveria bassiana. Tribolium confusum pathogenicity was assessed using nine local fungal isolates. Different fungus isolates were tested for their pathogenicity on larval and adult T. confusum. The results showed that M. anisopliae MaSA-2, MaSA-3, and MaSA-4 had infection rates of 85%, 85%, and 75%, respectively, in last-instar T. confusum larvae and 5%, 10%, and 20% in adults within seven days. On the other hand, B. bassiana BbSA-4 showed a 100% infection rate in T. confusum larvae, while BbSA-5, BbSA-6, BbSA-7, BbSA-8, and BbSA-9 had infection rates of 70%, 80%, 80%, 75%, and 95%, respectively. In terms of adult mortality rates, B. bassiana BbSA-4, BbSA-5, BbSA-6, BbSA-7, BbSA-8, and BbSA-9 had rates of 25%, 35%, 35%, 20%, 20%, and 40%, respectively. The research findings show that indigenous B. bassiana and M. anisopliae fungus isolates successfully eliminated T. confusum larvae, although their effectiveness against adults was limited.

The year 2018 was distinguished by a warm summer with extended periods of low or no precipitation. In this context, we investigated the intra-annual dynamics of xylem differentiation phases and quantitative vessel anatomy to analyse the age effect on the xylem formation response of younger (50 years) and older (135 years) mature European beech trees under summer drought conditions. The xylem formation dynamics of young and old trees were performed on microcores collected at weekly intervals in the Rájec-Němčice ecological station in the South Moravia region (Czech Republic). The onset of xylem formation was found identical in both age trees, and most of the trees ceased their enlargement by the end of July, which is attributed to the harsh environmental conditions of this month. Young trees were characterised by a 10-day extended enlargement period and a higher growth rate, resulting in more vessels and a wider tree-ring width. No significant linkage was found between intra-annual environmental conditions of the 2018 year or age effect and the vessel anatomy traits.

In modern conditions, high-precision technologies, such as unmanned aerial vehicles (UAVs), are the basis for increasing the efficiency of agricultural land use and crop productivity. Nowadays, new technology development needs to be improved, so the study and the implementation of various innovations in this field are quite relevant and important. The research aimed to find effective pesticides and a selection of spraying solution norms to increase rapeseed yield. The least significant difference test was used to separate the means of the dependent variables in response to predictor variables at P ≤ 0.05. It was established that herbicides applied using UAV provided effective protection of crops against cereal weeds. The spraying solution (herbicide) Evolution, together with Amigo Star, contributed to destroy of annual cereals by 94–100%, which was at level of effectiveness for ground sprayer application. The higher yield of rapeseed was 4.08 t·ha^–1 for variant with spraying solution by UAV with a consumption rate of 15 L·ha^–1 and corresponding indicator reaches 4.13 t·ha^–1 with a rate of 200 L·ha^–1 for ground-based spraying. The advantage of using UAVs is the quicker application, as well as a lower rate of water consumption for preparing spraying solution, compared to ground spraying.

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.

Agriculture and energy are intricately connected, with agriculture being a significant energy consumer and supplier. In this comprehensive study, SPSS and Jupyter Notebook were used to model and predict the energy requirements of potato plants during cultivation. A system using deep learning methods, specifically the Convolutional Neural Network (CNN), was also developed to accurately predict the classification of potato plant growth phases using image data. The CNN model, developed with 100 epochs and 5 layers, used 1 125 image data of potato plants, categorising them into two classes: the vegetative phase, with an energy requirement of 4 195.80 MJ·ha^–1, and the generative phase, with an energy requirement of 746.45 MJ·ha^–1. The model‘s accuracy in reflecting the actual data, with a mean absolute error of 0.11, mean square error of 0.01, and root mean square of 0.13, indicates no significant issues. The test predicted categorization with 99% precision, underscoring the thoroughness and validity of this study and reassuring the audience about the accuracy of the results. The study findings not only validate the use of deep learning in agriculture but also inspire the development of applications to predict the energy demand for each growth phase using plant image data.

Today, there is widespread concern about the potential health effects on populations from consuming contaminated leafy plants and vegetables. In this study, heavy metal content is present in commonly consumed leafy plants (Atriplex hortensis, Spinacia oleracea, Urtica dioica, Beta vulgaris, and Brassica oleracea) from the mining area near Tuzla in Bosnia and Herzegovina was determined. After the preparation of the samples by wet digestion with HNO3, the flame and graphite furnace atomic absorption spectrometry was used. According to the results, the lowest concentration in leafy plants was obtained for Cr 0.08 mg/kg (Brassica oleracea) and the highest for Fe 539.15 mg/kg (Spinacia oleracea). The novelty of this study was to estimate health risk assessment for selected leafy plants. The estimated daily intake (EDI) of Pb, Mn, Zn, and Cd from consuming leafy plants was higher than the maximum tolerated daily intake. For adults, the total target hazard quotient (THQ) calculated based on EDI of the heavy metals was found to be > 1 for Pb and Cd due to all leafy plant consumption and for the children risk level of THQ was observed for most heavy metals. The hazard index due to the intake of toxic metals from ingesting leafy plants was much > 1. According to the total carcinogenic risk index for adults and children, the carcinogenic risks for all samples were higher than the tolerable range. Based on the results of this study, there is a significant non-carcinogenic and carcinogenic health risk to the population associated with the consumption of leafy plants cultivated in the mining area.

However, its underlying mechanism remains largely undetermined. In this work, we examined the impacts of the continuous application of pig manure fertiliser for 10 years on wheat yield in the calcaric fluvisol soil with a texture of sandy loam, and the relationship between soil microbial community composition and soil properties was also analysed. The wheat yield, yield components and wheat biomass were analysed by collected aboveground part. Soil nutrient, enzymatic activity and microorganism compositions were analysed by collected soil samples at the filling stage. The results showed that long-term application of pig manure fertiliser could remarkably increase wheat yield by improving soil nutrient availability, enzyme activities, and microbial composition. Moreover, soil pH, nitrogen content, dehydrogenase and urease were closely related to the soil microbial diversity. In conclusions, the long-term application of pig manure in combination with term mineral fertiliser could optimise microbial community composition by regulating the interaction between microbial species and enhancing soil enzyme activity and soil fertility, leading to increased wheat yield.

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.

This study aimed to evaluate the effects of whole-plant corn silage (WCS) on growth performance, nutrient availability and intestinal development in growing-finishing pigs. A total of 32 barrows (33.1 ± 3.49 kg) were randomly allocated to four treatments. Control was the basal diet, and the low, medium, and high treatments were basal diets substituted with WCS (air-dry basis) at 5.0%, 7.5%, and 10.0% from day 1 to 42, and 10.0%, 12.5%, and 15.0% from day 43 to 98, respectively. The results showed that the average daily feed intake (ADFI), feed/gain (F/G), and crypt depth (CD) increased linearly (P < 0.05) with the increasing of WCS. However, the final body weight, average daily gain (ADG), biological value (BV), net protein utilization (NPU), dry matter, crude protein (CP), ether extract, crude fibre (CF), and gross energy decreased linearly (P < 0.05). High treatment significantly deteriorated BW, ADG, NPU, and BV compared to control, low, and medium treatments (P < 0.05). The low and medium treatments showed significantly greater ADFI, apparent digestibility (CP and CF), villus height (VH), VH/CD, relative mRNA and protein expression of occludin, claudin-1 and sodium-glucose cotransporter (SGLT1) than the high treatment (P < 0.05). The highest F/G, CD, relative mRNA and protein expression of cationic amino acid transporter (CAT1) were observed in high treatment (P < 0.05). Our results suggested that WCS can replace 7.5% and 12.5% of diet during growing and finishing periods of pigs, respectively. This is of great significance for reducing feeding costs and alleviating food security crises.

The food industry is always looking for ways to innovate in elaborating and packaging food products to ensure the consumer receives the highest quality. The new proposals include the use of polycaprolactone (PCL), a commonly used biopolymer that is soluble in many organic solvents. The PCL features can be modified by forming blends with other polymers and bioactive molecules to expand their applications in the food industry. For instance, there have been developments in packages and active substances that incorporate microcapsules based on PCL. This review explores the applications of PCL in the food industry, encompassing its role as a biodegradable active package and as an encapsulating agent. The review underscores the potential of this polymer in the context of the food industry.

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.

The aim of the study was to assess the impact of three biostimulants and a herbicide on selected unit parameters of potato yield. The research results came from a three-year field experiment that was established using the randomised sub-blocks method in three replications. In the experiment, two cultivars of edible potato were grown and the yield-protective effect of treatments was assessed: (1) control object without protection with preparations; (2) herbicide clomazone + metribuzin; (3) biostimulant PlonoStart and herbicide clomazone + metribuzin; (4) biostimulant Aminoplant and herbicide clomazone + metribuzin, and (5) biostimulant Agro-Sorb Folium and herbicide clomazone + metribuzin. As a result of the limited competition of weeds in the objects with the use of biostimulant and herbicide, a higher average weight of one potato tuber, a higher share of commercial tubers > 35 mm and a higher share of large tubers > 50 mm was obtained compared to the control object. The highest average weight of one tuber (108.2 and 85.4 g, respectively) and the highest share of commercial (97.1 and 96.3%, respectively) and large tubers (60.6 and 60.5%, respectively) were obtained in the objects where the Agro-Sorb Folium biostimulant + Avatar 293 ZC herbicide were used. and PlonoStart + Avatar 293 ZC. The correlation analysis confirmed a significant negative relationship between the number of weeds and average weight of one potato tuber, share of commercial tubers and share of large tubers. Weather conditions during the conduct of the research also significantly differentiated weed numbers and quality parameters of potato yield.

The impact of toxic elements (TEs) contaminating the root zone of Lupinus angustifolius L. on enzymatic activities, nitrification rate, and changes in the root system was evaluated. Lupine was cultivated in a pot experiment using two types of soil – control and contamination (with a high degree of arsenic (As), cadmium (Cd), lead (Pb), and zinc (Zn) contamination). After harvesting lupine biomass, enzyme activities (β-glucosidase, acid phosphatase, arylsulphatase, lipase, chitinase, cellobiohydrolase, alanine aminopeptidase, and leucine aminopeptidase) in soils were analysed. Enzyme activities decreased with TE soil contamination. According to our results, arylsulphatase was found to be the most sensitive soil enzyme to TEs. The nitrification rate is closely related to soil contamination and plant activity, as it stimulates microbial growth and multiplication through root exudates. The close correlations confirmed this relationship (r = 0.73−0.99). An increasing trend in TE contents in the roots was observed with soil contamination. Plant hormones are crucial in regulating root growth and development under stress conditions. The levels of determined phytohormones in our experiment (auxins, abscisic acid (ABA), salicylic acid (SA), and bioactive cytokinins (bCKs)) were lower in the contamination compared to the control. Correlations confirmed a significant negative relationship between the TE content in the roots and the contents of phytohormones (auxins: r = –0.96 to –0.97; ABA: r = –0.83 to –0.86; SA: r = –0.95 to –0.99, bCKs: r = –0.87 to –0.93). The ratios of these hormones (not their absolute values) appear to be the determining factor for regulating root development and protecting plants from oxidative stress.

The aim of this study was to determine the reference values of cartilage damage biomarkers in the blood and urine in 76 clinically healthy German Shepherd dogs. We grouped the dogs into 4 groups by age. All the groups were consistently made up of 19 dogs. The mean age and average body weight were established for all the dog groups. The blood was collected from the vena cephalica antebrachii or the vena saphena medialis and the urine sample was taken by us-guided cystocenthesis. The biomarkers were determined using quantitative sandwich ELISA kits. The mean values of the biomarkers ± SD were, for the urine biomarkers, CTX-I 3.29 ± 1.16 ng/ml, CTX-II 1 993.95 ± 777.04 ng/ml, and TIMP-I 392.80 ± 160.56 ng/ml, and for the blood biomarkers, MMP-9 89.85 ± 50.21 ng/ml and PIICP 19.19 ± 7.33 ng/ml. Based on the obtained values of the mean 95%, we expect a standard for CTX-I 5.05 ng/ml, CTX-II 3 204.26 ng/ml, TIMP-I 606.64 ng/ml, MMP-9 187.93 ng/ml, and PIICP 31.71 ng/ml.

Farmers, often vulnerable within the agricultural supply chain, frequently encounter difficulties accessing and affording loans. This study introduces an innovative credit risk evaluation framework for farmers tailored to the agricultural supply chain. It includes three key aspects: farmers’ credit characteristics, the operational status of the agricultural supply chain, and overall credit conditions. Initially, the analytic hierarchy process (AHP) was used to assign weight coefficients to indicators. Then, the Elimination et Choix Traduisant la Réalité III (ELECTRE III) model was employed to determine farmers’ credit ratings. To demonstrate the impact of the agricultural supply chain on microfinance, the model’s effectiveness was then tested with 398 microfinance survey responses from Fuping County (World Dairy Goat Industry Development Demonstration Zone), Shaanxi Province, China, and its accuracy was further verified using BP neural network analysis. The results demonstrated the model’s proficiency in assessing farmers’ credit levels within the agricultural supply chain, which can aid in the resolution of various credit assessment and rating challenges. Furthermore, this study offers valuable insights into the integration of multi-criteria decision-making and machine-learning methods.

Agriculture is one of the main contributors to carbon emissions and is also significantly affected by changing climate. This article investigates the impacts of agricultural support on greenhouse gas emissions (GHG) from agriculture in the European Union. Panel regression models were used to examine the influence of subsidies in the Common Agricultural Policy (CAP) on reducing GHGs from agriculture. First, estimates show that direct agricultural subsidies encouraged agricultural-related carbon emissions. Second, the study concludes that the expansion of organic agriculture and the rural development expenditures contributed to emissions reduction in the member states. Finally, the CAP Health Check reform decreased while the Ciolos reform stimulated GHG emissions.

The aim was to study the evolution and severity of white striping and wooden breast myopathies and to carry out a study on the parameters of meat quality and allometric growth of male and female broilers at different ages. The experiment was conducted in a broiler house in a completely randomized design, using 960 one-day-old chicks of the Cobb^® strain, with 480 chicks of each sex. 96 birds per treatment were slaughtered weekly at the age of 21 to 49 days. The present study analyses the occurrence of myopathies, their scores, and their evolution over the age of the birds, comparing males and females. Further assessments included the allometric coefficient and meat quality analyses such as physical measurements (breast length, width, and thickness), pH, colour (L*, a*, and b*), drip loss, water-holding capacity, cooking loss, and shear force. The results demonstrate that the sex of birds did not affect the occurrence of white striping and wooden breast myopathies. However, the degree of myopathies evolved with advancing age, suggesting the weight as a predisposing factor for these myopathies. The emergence of white striping myopathy occurred as early as in the third week of the birds’ life. Wooden breast did not develop as isolated myopathy, occurring only in the concomitant presence of white striping. The allometric coefficient demonstrated that regardless of the sex and age, broiler breast had positive heterogonic growth, i.e. late growth in relation to the other parts of the body.

Breadfruit's substantial carbohydrate content makes it a viable starch source, specifically resistant starch (RS) that helps prevent chronic diseases. This study investigated the effects of enzyme hydrolysis and microwave treatment (MT) on enriching type III RS in breadfruit. It also determined its structural and functional properties, including swelling power, solubility index, water absorption capacity, oil binding capacity, and syneresis. MT at 30 W·g^–1 for 3 min resulted in the highest RS content of 74.8%, significantly surpassing pullulanase hydrolysis (1.0 U·g^–1 dry basis for 12 h) at 17.3% RS. The breadfruit starch granules exhibited a regular shape, approximately 7.9 µm in length, whereas modified granules were less than 11 µm, along with observable deformation in their structural shape. In conclusion, the study demonstrates the efficacy of MT for enhancing RS content in breadfruit, highlighting its potential as a healthy functional ingredient and starch substitute.

Rosa damascena is one of the oldest valuable rose flower varieties that is almost drough tolerant. However, selecting and identifying landraces that are more tolerant to drought conditions will be effective in developing the cultivation of the plant under stress. The most important step in developing drought-tolerant plants is the evaluation and identification of resistant and susceptible genotypes. In this case, an experiment was performed under in vitro conditions using five levels (0, 25, 50, 75, and 100 g/L) of polyethylene glycol (PEG) on four landraces of the Damask rose (Maragheh, Urmia, Pakdasht, and Kashan). Based on the findings, the resistance of the different landraces to a water deficit was measured by the Design-Expert software using the response level (RSM) method. The results showed that Maragheh, with the highest fresh and dry weight, total chlorophyll, chlorophyll a, chlorophyll b, proline and an increase in the superoxide dismutase activity, had a high tolerance to drought stress. Moreover, Maragheh with a decreasing leaf number, height, malondialdehyde, hydrogen peroxide and having a higher membrane stability index, showed a better defence mechanism against oxidative stress than the other landraces. Also, after Maragheh, Pakdasht had the best performance compared to the other two landraces up to 75g/L of PEG, but not as well as Maragheh at the highest level of the tested PEG. Urmia and especially Kashan probably do not have much tolerance to drought stress regarding all the results and levels of desirability.

The black soldier fly (Hermetia illucens) serves as an alternative source of protein in poultry production. However, there is little available information on feeding live black soldier fly larvae (LBSFL) to hens. The present study filled this gap by testing the effect of dietary LBSFL on laying hen performance, feed economy, egg quality, and yolk fatty acid composition. In total, one hundred forty-four 25-week-old Charoen Pokphand Brown laying hens were assigned to four groups. Experimental birds were provided a basal diet supplemented with 0.0 (T1), 10.0 (T2), 20.0 (T3), or 30.0 (T4) g/kg LBSFL. Our results indicated that no effects on body weight gain, egg yield, egg weight, or egg mass (P > 0.05) were observed in any of the dietary LBSFL groups. The addition of 10.0 g/kg LBSFL decreased feed intake, feed conversion ratio, and feed cost (P < 0.05), contrary to two higher doses of LBSFL. Similarly, the egg quality parameters were not influenced (P > 0.05) by the dietary LBSFL except for the egg yolk colour which significantly decreased with increasing LBSFL levels. Furthermore, the values for lightness (L*), redness (a*), and yellowness (b*) of the egg yolk were different (P < 0.05) between the four treatments. Paler egg yolk was found in the 20.0 and 30.0 g/kg LBSFL groups compared to the control group (P < 0.05). Significantly lower deposition of C18:3n6 was found for 30.0 g/kg, whereas there was a significant decrease in deposition of C22:6n3 with all LBSFL groups (P < 0.05). C20:3n6 levels, on the other hand, increased significantly in the 20.0 g/kg LBSFL group (P < 0.05). Thus, feeding LBSFL has no potential to increase the proportion of anti-inflammatory n-3 fatty acids. From an economic point of view, it is advantageous to feed the hens a dose of 10 g/kg LBSFL.

The aim of this study is to present the seasonal variation of organic matter (OM), total organic carbon (TOC), total nitrogen (TN), and total phosphorus (TP) in the bottom sediments of Marchica Lagoon, a post-restorated lagoon located in the Moroccan Mediterranean, and to estimate the potential role of the geochemistry and granulometry of bottom sediments in the retention of old eutrophication. The organic index of bottom sediment was found generally higher in old-eutrophic and enclosed areas. The surface sediments show variable levels of OM, TOC, TP, and TN; high in some cases (12.3%, 6.71%, 0.70%, and 0.30% respectively). These high levels were recorded in the central part of the lagoon and in areas subjected to high anthropogenic pressure, including wastewater discharges. Our results indicated that sediments are an excellent immobilizer of organic matter (C, N, and P), although, there was no correlation between sediment grain size and organic matter content. The absence of correlation might be explained by currentology and hydrodynamics, but also by the bathymetry of the lagoon. Therefore, sediments must be implicated in any lagoon restoration strategy and the site development plan.

The present study aimed to use a non-parametric data envelopment analysis (DEA) to estimate the energy efficiency and greenhouse gas (GHG) emissions in off-season cucumber-producing greenhouses in different farm level management systems in Iran. Data were collected using a questionnaire completed by 83 cucumber producers through face-to-face interviews. The results showed that the energy use rate was 75.1%, 82.6%, and 86.2% in small (0.5–0.9 ha), medium (0.9–2 ha), and large farms (≥ 2 ha), respectively. In all the farm levels, the greatest energy use shares belonged to electricity, chemical fertilisers, and human labour, respectively. The results of the DEA revealed that the technical, pure technical, and scale efficiencies of the large farms were 87.3%, 92.8%, and 97.1%, respectively, which were higher compared to other farm level management systems. The ratio of energy savings was estimated at 5.62% and 2.97% for small and large farms, respectively. The results also showed that electricity, chemical fertilisers, and diesel fuel were the most responsible for the GHG emissions. By optimising the energy use, pollution per one/ha one of off-season cucumbers can be mitigated by 1 614.5 and 1 315.0 kg of CO2/ha in small and large greenhouses; indicating more attention is required in managing the energy inputs in small-sized agro-ecosystems, especially for electricity.

The aim of the study was to evaluate the effect of different live weights at slaughter (LWS) of Zwartbles lambs on their daily gain (DG), carcass traits (CT) and chemical and physical characteristics of the quadriceps femoris muscle (QFM). A total of four weight groups of lambs were evaluated: group A, LWS = up to 35 kg; group B, LWS from 35.1 to 40 kg; group C, LWS from 40.1 to 45 kg and group D, LWS from 45.1 to 50 kg. The LWS had a significant (P < 0.05) effect on DG and most CTs, when average DG and most weights of individual CTs increased with increasing LWS. The evaluation of the influence of LWS on the chemical and physical characteristics of QFM primarily shows that this factor had a significant (P < 0.05) effect only on the content of intramuscular fat (IMF) and redness index (RI), when in both cases the values of these traits increased (IMF: from 0.57 to 1.21%; RI: from 8.53 to 9.76) with increasing LWS. In conclusion, it can be stated that most of the monitored traits in all weight groups of Zwartbles lambs were comparable with their levels in specialized meat breeds of sheep.

We conducted a quantitative ex post analysis of the competitiveness of the Czech Republic’s agrifood exports to other European Union (EU) Member States between 2002 and 2020, using the constant market share (CMS) methodology. The application of this methodology to Czech agrifood exports is novel, as it allows for analysing the export competitiveness variation and its components. Although the findings are consistent with those of previous studies in which the investigators used alternative methodological approaches, we make three contributions to the existing literature. Firstly, the Czech Republic experienced an overall increase in its competitiveness in agrifood exports between 2002 and 2020. Secondly, the high territorial specialisation of Czech agrifood exports to other EU Member States, combined with a general slowdown in the growth of EU markets, has had a significant effect on the growth dynamics of the country’s agricultural exports. Thirdly, there is a problem with the specialisation profile of Czech agrifood exports in terms of commodity and territorial structure. The current composition does not allow the Czech Republic to reach its full potential for agrifood exports. These findings will help industrial, agricultural and trade policymakers to assess the nature of liberalisation and transformation of the Czech Republic’s agricultural sectors, with a view to improving or designing structures and instruments for the promotion of agrifood exports.