Fulltext search in archive

This study aimed to determine the potential of Wallachian sheep in quantitative and qualitative indicators of milk production under extensive conditions of the Western Beskids mountains. Milk samples were collected from the group of 38 non-dairying sheep selected from the basic 120-head flock. Ewes were monitored during four control days (from 27^th April, the average 42^nd day of lactation to 4^th August, the average 142^nd day of lactation) to cover the whole lactation period. Ewes were investigated for their milk production and for milk quantity parameter. Milk quality indicators included percentage estimation of milk components (fat, protein, casein, lactose, dry matter), somatic cell count (10³ cells/ml), vitamin A and E content (mg/kg), and K, Mg, Ca, Zn, Cu (mg/kg) content. Milk production ranged from 1 017.37 g (early stage of lactation) to 416.87 g (late stage of lactation period). The milk contained high fat (6.06–8.44%) and protein (4.68–5.68%) percentages, low somatic cell count and favourable distribution of minerals and vitamins. In general, results of this study indicate a possibility for low-productive traditional grazing system with extensive sheep breeds not only for cultivating the area but also for the purpose of high nutritional food with beneficial aspect on human health.

Symptomatic samples were taken from five districts in Yogyakarta and Central Java provinces of Indonesia to survey the genetic diversity of Begomovirus, α and β satellites. A total of 14 samples were tested positive by PCR for tomato leaf curl New Delhi virus (ToLCNDV), pepper yellow leaf curl Indonesia virus (PepYLCIV), mungbean yellow mosaic India virus (MYMIV), and ageratum yellow vein China virus (AYVCNV) infections. Besides that, ageratum yellow vein alphasatellite (AYVA) was identified for the first time in Indonesia, and tomato leaf curl Java betasatellite (ToLCJaB) were detected for the first time in different hosts. Partial genome sequences of begomoviruses and complete sequences of the α and β satellites were recovered and registered in NCBI GenBank (OP846592-OP846615). Phylogenetic study showed that AYVA and ToLCJaB each had two separate lineages. Polymorphism and diversity analyses confirmed other reports that βC1 coding region of ToLCJaB genome is highly conserved. Comparison of phylogroups 1 and 2 of ToLCJaB produced a high FST value, indicated genetic isolation between them. This report could be a basis for future works on the less studied genetic variation of α and β satellites in Indonesia and other countries.

Metabolites of Emericella nidulans (EN) were separated by chromatographic methods from crude hexane included emericellin and sterigmatocystin, while crude ethyl acetate found demethylsterigmatocystin. These metabolites proved to be antagonistic to Magnaporthe oryzae, the causal agent of rice blast. Crude extracts and nano-particles derived from EN inhibited M. oryzae. The ethyl acetate crude extract derived inhibited M. oryzae with an effective dose (ED₅₀) of 66 μg/mL. The nanoparticles showed better inhibition of M. oryzae than crude extracts at low concentrations. Nanoparticles, namely from crude ethyl acetate, crude methanol and crude hexane of EN were active against M. oryzae with ED₅₀ of 4.2 μg/mL, 4.5 μg/mL, 8.9 μg/mL, respectively. It detected sakuranetin (rate of flow value is 0.09) in nano-EN treated rice leaves. These nanoparticles inhibited M. oryzae and acted as a new elicitor to induce immunity.

This study evaluated the productive performance, blood parameters and antioxidant status of hyperprolific sows fed control diet or diet supplemented with brown seaweed and polyphenol mixture (SPM). Ninety-six farrowing highly prolific sows (Topigs 20) were assigned to two dietary treatments from day 107 ± 2 days of gestation until weaning: control diet and the same diet containing 15 g/day of SPM. Sows fed SPM diet tended to have lower backfat losses (P = 0.06) than control sows. No difference was observed in daily feed intake. No difference in litter birth weight or number of piglets per litter was observed. In sows fed SPM, average daily gain and weaning body weight of piglets were increased (P < 0.05). Haematochemical parameters, haptoglobin and blood total antiradical activity were not affected (P > 0.05) by dietary treatment. The paraoxonase-1 activity was higher (P < 0.05) in SPM sows than in the control. At the subsequent farrowing, the total number of piglets born was higher (P < 0.05) in sows fed SPM than in the control. Overall, these data suggest that dietary plant polyphenols and brown seaweeds improved the weaning weight of piglets and the total number of piglets born at the subsequent farrowing, modulating oxidative stress in lactating highly prolific sows.

It is difficult to estimate flood discharges and the flood zones as well as to design hydraulic structures in rivers without using hydrometric stations. Furthermore, using different models to determine the mentioned cases will be accompanied by errors. Therefore, flood marks on the trunks of trees located in the Babolrood riverbed were used to determine the peak discharge, flood flow depth, and flood zone in northern Iran. First, a hydraulic model for the study river was provided using topographic maps with a scale of 1: 1 000, HEC-GeoRAS extension (GIS), and HEC-RAS model. Then, the flood marks of past floods in the form of silt and clay sediments (deposits on the trees in the riverbed) were evaluated and the maximum flood flow depth was determined. Finally, the peak discharge of the past flood was estimated by the trial-and-error method to achieve the flood flow depth in the different river reaches. Then, the hydraulic model using the flow depth data was calibrated in the reaches, and, in the final step, based on the flood marks of other reaches, the model was validated. According to the results, the maximum instantaneous discharge rate of the study flood was 155 m³.s^-1 and the maximum flood flow depth was about 2 m. Furthermore, the results showed that the flood mark data in forest lands can be used as a tool for the calibration and validation of hydraulic models. The present methodology is an efficient method for determining the flood peak discharge, spatial variation of the flood depth, and flood zone in forest watersheds without hydrometric stations.

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.

Tripleurospermum inodorum (L.) Sch. Bip. is one of the most economically important and yield-reducing weeds in cereals in Europe. Random and systematic monitoring of this weed might provide an early warning for the farmers and slow down the pace of the evolution of herbicide resistance. This study aimed to identify resistant populations of T. inodorum in the Czech Republic and elucidate their possible resistance mechanism/s. Monitoring and screening of T. inodorum for herbicide resistance against acetolactate synthase (ALS) inhibitors and synthetic auxins was carried out. Greenhouse experiments and molecular-genetics studies were conducted to characterize the resistance. While all the tested populations were found to be susceptible to synthetic auxins, two populations (MATIN 2 and MATIN 4) were found to be resistant against tribenuron (ALS inhibitor). However, their cross-resistance to florasulam was not confirmed. The resistance mechanism detected was the target-site substitution of Pro197 at the ALS gene. The two populations carried different point mutations: Pro197Ser (MATIN 2) and Pro197Gln (MATIN 4). This is the first study in the Czech Republic to identify the survival mechanism in T. inodorum for resistance to ALS-inhibiting herbicides. Our results from this research will provide basis for resistance management in T. inodorum in the Czech Republic and other countries.

Micropropagation has enormous potential in the forestry industry for the mass production of elite genotypes. A limiting factor that hinders a wider adoption of this technique is its high associated cost, dissuading small producers and laboratories from its use. Thus, it is important to develop low-cost protocols to increase the competitiveness of micropropagation. The goal of the present study was to elaborate a low-cost culture medium that would allow plant growth without diminishing plant quality and production. The replacement of laboratory sucrose with commercial sugar as a carbon source, and laboratory agar with locally produced agar as a gelling agent was tested. To validate the effects of the medium for woody species micropropagation, two relevant forest species, chestnut and birch, were used and several phenotypic characteristics were recorded. Our data indicated that the substitutions made in the media composition did not alter growth or rooting parameters. Substitution of laboratory sucrose and Bacto agar by table sugar and local commercial agar provides a valuable alternative for forest species micropropagation and for increasing their potential profitability.

Local people’s socio-economic and natural resources, especially forest resources, have been affected by land degradation in Ethiopia in the past years. To combat this problem, rehabilitation of community-based degraded land has been performed since 1979. Rehabilitation of degraded land (RDL) is important for forest management strategy regarding the regeneration of degraded forests and related resources through women’s empowerment. Because empowered women are key users and managers of resources from rehabilitated land such as forest resources, which leads to sustainable utilization of forest products. The aim of the study was to evaluate women’s participation and empowerment in decision-making regarding the rehabilitation intervention. A total of 120 women households (60 user and 60 non-user
women) were selected using a stratified random sampling method. Data were collected using a household survey, focus group discussion and key informant interviews. The results revealed that there is a significant difference between user and non-user women in fetching water and fuelwood collection time. Furthermore, RDL contributes to improving user women’s economic status and social relationships such as livelihood opportunity, social network, build-up of trust and changes in social assets. The result also indicated that women able to participate in forest-related meetings, land use management, use and control of assets, decision-making, and in soil and water conservation measures. Further, user women had greater awareness compared to non-users due to participation in different meetings and other decision-making activities. The findings suggest that consideration of women’s participation in decision-making regarding the community land rehabilitation program is important to empower women equally with men.

Polycyclic musk compounds are commonly used in personal care products to replace expensive natural fragrances. Due to their huge consumption, they have become a part of the aquatic environment. In the present study, a two-month exposure effect of tonalide on juvenile zebrafish (Danio rerio) was investigated. We determined the vitellogenin concentration to define the potential endocrine-disrupting effect of tonalide and also analysed selected indices to evaluate the induction of oxidative stress. The environmentally relevant concentration of tonalide (i.e., 500 ng/l) caused a significant decrease in the catalase activity (P < 0.05) and a significant increase (P < 0.05) in the lipid peroxidation. An increasing lipid peroxidation was also recorded for the highest concentration group tested (i.e., 50 000 ng/l). On the other hand, no significant changes were recorded in vitellogenin in all the exposed groups. Thus, based on these results, we have not demonstrated the endocrine-disrupting activity of tonalide in zebrafish. The results of the oxidative stress indices showed a significant impairment of the antioxidant defence after the two-month tonalide exposure, which could indicate part of the adaptive response to the tonalide toxicity.

This study was conducted to investigate the resistance of 4 wild eggplant species (Solanum aethiopium group Aculeatum, S. incanum, S. macrocarpon, S. linnaeanum), 3 cultivated eggplant varieties (‘Anamur F1’, ‘Pala’, ‘Yamula’), 1 eggplant rootstock (Köksal F1) and 34 interspecific hybrids to Verticillium dahliae Kleb. and Fusarium oxysporum f.sp. melongenae. Disease resistance of eggplant genotypes was determined by the pathogenicity test. The disease severity values varied between 0–80% for Verticillium and between 0–100% for Fusarium. Among the 42 genotypes, 18 genotypes were found to be moderately resistant and 1 genotype was found to be highly resistant to Verticillium. At the same time, 2 of the 42 genotypes were found to be moderately resistant and 22 of the 42 genotypes were found to be highly resistant to Fusarium. All hybrids with S. integrifollium, Solanum aethiopicum group Gilo as father were found to be highly resistant to Fusarium oxysporum f.sp. melongenae. Solanum linnaeanum did not exhibit any disease symptoms and was found to be highly resistant to both disease agents. Present interspecific hybrid eggplant genotypes with known resistance to Verticillium and Fusarium wilt are expected to have significant contributions in developing new eggplant rootstocks and hybrid eggplant cultivars in the future.

According to the literature, forwarding productivity depends chiefly on log concentration, the number of assortments, mean log volume, load-size, slope, and extraction distance. However, there is not much scientific knowledge available on forwarding in continuous cover forestry (CCF) in boreal forests, nor whether the presence of remaining trees actually affects forwarding productivity. Thus, the objective of our study was to isolate the effect of remaining trees (i.e. stand density) on forwarding productivity during CCF, specifically selection cutting. The results showed that productivity was explained mainly by the log concentration, while other factors had at most minor effects. Most importantly, stand density did not significantly affect forwarding productivity, ceteris paribus. Thus, we conclude that remaining trees do not affect forwarding productivity in boreal forests. Although the study results from this CCF operation must only be cautiously applied to even-aged forestry, our results raise a general question: do we need separate productivity models for thinning and clearcut operations in boreal forests if remaining trees (stand density) do not affect forwarding productivity? Because of the small dataset, we consider our paper to be a pilot study whose findings need to be verified by studies based on larger datasets including several operators and stands.

National parks (NP) are the last refugia of forests dominated by the Nothofagus species in Chile. However, frequent, careless human-caused fires are destroying these forests even within the national parks. After large-scale fires, N. pumilio stands are unable to recover naturally neither in generative nor in vegetative ways and artificial regeneration must be resorted to in order to maintain their extent. However, even artificial regeneration is not successful without protection against browsing. Therefore, the aim of this study was to experimentally test a range of repellents and other methods of mechanical protection of seedlings against browsing. Five replicates of plots were placed in Torres del Paine NP, in different habitat conditions and with different methods of protection against browsing (11 repellents, wire mesh, plastic tube and control). In each plot, 12 seedlings were treated with each type of protection. In our experiment, only 8% of the seedlings were damaged by browsing, while the mortality rate was 38%. The results indicate a more significant effect of abiotic factors (mainly frost, drought or wind) on seedling mortality than browsing. In parallel, however, it is clear that, compared with the control, six of the eleven repellents used in the experiment showed a significantly positive effect. We suggest the use of plastic tubes as the best option to protect seedlings, which, in addition to providing 100% protection against browsing, are likely to provide more favourable microclimatic conditions for seedlings, similar to leaving the burned snags.

Land use changes together with riverbed regulations to avoid the annual floods affect the ecosystem of floodplain forests. Later subsequent revitalization measures, transboundary controlled river management, wetland restoration, and integrated planning were realized to reduce the negative effect of groundwater dropping and other environmental problems. This study aimed to follow the dynamic of groundwater level, soil properties and forest vitality as affected by climate change. The continuous dataset (2019–2022) of soil physical and hydrophysical parameters and tree radial growth parameters were obtained. Groundwater level was evaluated by z-score and the means, and standard deviation values were considered. The monthly assessment of soil and climatic conditions showed that the uneven distribution of rainfall and the increase in temperatures have significantly affected the soil hydrological regime and forest growth. Continual monitoring is necessary to prepare projection models, which can help better understand both the soil and tree growth parameters in the changing environment.

Enzootic bovine leucosis is caused by bovine leukaemia virus (BLV), a Deltaretrovirus belonging to the family Retroviridae. BLV causes huge economic losses to the dairy industry in the form of decreased milk production, premature culling, and poor reproductive performance of the animals. The aim of the present study was to determine the seroprevalence of BLV infection in buffalo in two districts of Punjab, Pakistan. A total of 384 samples were collected and analysed using a commercial indirect enzyme-linked immunosorbent assay (ELISA) to investigate the seroprevalence of BLV through the detection of the anti-BLV gp51 antibody. A predesigned data questionnaire proforma was employed to find out the association of risk factors with disease. Overall, 18.2% of buffaloes were seropositive for BLV in the study population. The results revealed a significant association (P < 0.05) of age with BLV infection. Furthermore, milk yield and pregnancy had a significant association with the seroprevalence of BLV infection in buffalo whereas no significant association was found with sex, breeding, and health status. Biochemical and oxidative stress markers revealed a significant decrease in liver enzymes alanine transaminase (ALT) and aspartate transaminase (AST), glutathione peroxidase (GPX), and superoxide dismutase (SOD) in seropositive animals as compared to healthy animals. It is concluded that BLV has a considerable prevalence in buffalo in Punjab, Pakistan and there is a dire need to investigate the disease epidemiology at both national and international levels and strategies should be developed to implement an effective control program.

To supply more insights into the roles of putrescine (Put) in alleviating salt stress in wheat crops, we explored the effects of Put on ascorbate (ASC) and glutathione metabolism, photosynthetic performance, and ion homeostasis in leaves of salt-stressed wheat seedlings. Our results displayed that salt stress increased the activities of enzymes in ASC and glutathione metabolism, including ascorbate peroxidase, dehydroascorbate reductase, monodehydroascorbate reductase, glutathione reductase, gamma-glutamylcysteine synthetase, and l-galactono-1,4-lactone dehydrogenase, which increased reduced ascorbate (AsA), dehydroascorbate (DHA), reduced glutathione (GSH), oxidised glutathione (GSSG), total ASC and total glutathione contents. Whereas, salt stress induced higher increases in the contents of DHA and GSSG than those of AsA and GSH, which led to reduced AsA/DHA and GSH/GSSG. Meanwhile, salt stress reduced photosynthetic rate (P_n), maximum photochemical efficiency of PSII (F_v/F_m), and the contents of chlorophyll and carotenoids, and destroyed Na⁺/K⁺ homeostasis, which further inhibited plant growth. In comparison with salt stress alone, Put strengthened the activities of the above enzymes, which further increased the above metabolites contents, as well as AsA/DHA and GSH/GSSG in leaves of salt-treated seedlings. In this way, Put reduced malondialdehyde content and electrolyte leakage. Besides, Put also increased P_n, F_v/F_m, and above pigments contents, and maintained Na⁺/K⁺ homeostasis. Meanwhile, Put increased plant height and biomass of salt-treated seedlings. The present findings clearly implied that Put enhanced salt tolerance of wheat crops by strengthening ASC and glutathione metabolism, photosynthetic performance, and maintaining ion homeostasis in leaves. Therefore, Put can be applied to strengthen the salt tolerance of wheat crops in production and cultivation.

Sustainable global wheat production requires wheat varieties, that are sufficiently resistant to the main wheat diseases. The economically important fungal pathogens worldwide include powdery mildew (PM), yellow rust (YR), leaf rust (LR) and blotch causing pathogens including Septoria nodorum blotch (SNB) and Septoria tritici blotch (STB). Here, we present the evaluation of winter wheat varieties of diverse origin against the prevalent local populations of PM, YR, LR, STB and SNB under natural infection conditions through image-based phenotyping in two consecutive years (2019 and 2020). We found several varieties to be resistant against multiple diseases. Following the association mapping, we obtained a total of 206 marker trait associations for all the parameters scored which were condensed to 79 quantitative trait loci (QTLs) (eight QTLs for PM, 25 QTLs for LR, 11 QTLs for YR, 19 QTLs for SNB and eight QTLs for STB) based on the linkage disequilibrium among the molecular markers. The known genes present at these QTLs are discussed in detail. The varieties resistant to multiple diseases, identified with the QTLs and molecular markers can be considered as elite raw material for future wheat breeding.

Wild boar (Sus scrofa L.) is one of the most discussed game species, distributed across Europe, therefore the management of this species is considered important. This management should be based on data presented, population quality and preferences and craniometric dimensions show the development of the individual and its prosperity. A sample of 148 male and 153 female wild boar mandibles was studied to compare differences in craniometric measurements, especially to find out wild boar environmental demands and population trends. The width of the caput mandibulae and angle of the mandible showed significant difference between males and females. Measurements analysed with forest area size and other data also showed that larger craniometric dimensions were reached in hunting areas with at least 200 ha of forested area, which may be due to the wild boar's need for safety and vegetative cover in the first months of piglet development with respect to its home range. The development of young wild boar is dependent on rest and shelter in the first months of life. A forest cover of at least 200 ha appears to be sufficient in this respect. Information on habitat preferences and individual development can lead to improvements in wild boar management.

The main goal of the paper is to evaluate the impact of the Russian import ban on the development of agricultural exports from EU member states. The study is based on a time-series analysis of empirical statistical indicators. The analysed period is between 2009 and 2019. The source of data for individual analyses is UN Comtrade (2021). The evaluation of export performance is extended by hierarchical cluster analysis. The study quantifies the effects of the import ban on the EU and individual member states through two scenarios. Scenario 1 is based on the cumulative loss of the value of exports. Scenario 2 assumes a continuous development of the value of agricultural exports. Based on the results, it is possible to confirm that the application of the Russian food import ban had a significant impact on EU countries. The impact of sanctions varies across EU countries. Four specific clusters could be identified in the period under investigation. In the period after the ban, the distribution of individual countries among individual clusters changed significantly. The applied ban could be understood not only as an attempt at counter-sanctions. Import restrictions also aim to reduce Russia's dependence on food imports and promote national food security.

The tillage depth plays a critical role in solving soil compaction - a global problem of soil degradation. However, to date, there are few research reported about tillage depth, and the standard of optimum tillage depth is lacking. Therefore, we conducted a meta-analysis to quantify the effect of tillage depths on crop yield across a global scale, and then to analysis their influence factors such as local climate, soil properties, and managements. Moreover, a global distribution of the optimal tillage depths was estimated by using a random-forest model. Overall, our result demonstrated that crop yield first increased within tillage depths from 25 to 35 cm, and then reduced under higher depth of deep tillage compared to conventional tillage, according to 1109 wheat, maize and soybean (WMS) yield observations from 202 studies and 109 publications. Visibly, 35 cm hence became the optimum tillage depth of WMS across the world, while it varies with different regions. Furthermore, higher crop yields observed in areas with a humid climate, high clay contents, and large bulk density under the optimal depth 40, 35 and 45 cm, respectively. In contrast, a lower yield was observed in areas with arid climates, silty and sandy soils, and lower bulk density within optimal depth of 25 cm, 30 cm, and 25 to 35 cm. Human management efforts, including fertilizer addition, irrigation, straw returning, and changing of cropping system or crop species mostly increased the crop yield under deep tillage. Particularly, our meta-analysis indicated that straw returning needs a greater depth. Finally, we predicted the distributions of optimum depths, which showed that 30 and 35 cm were the optimum tillage depths in the temperate and tropical regions, and the total crop yields of global WMS increased by 2689 million tons per year under the optimal tillage depth, compared with the conventional tillage.

If appropriately applied, tillage can positively affect the crop’s yield by enhancing the soil’s physical properties. Fertilisation also has beneficial effects on yield if applied at efficient rates by increasing available-to-uptake nutrients and improving soil’s chemical properties. A field experiment was carried out in Debrecen, Hungary, to evaluate the individual and the interaction effects of these 2 factors on sunflower and sweet corn. The cultivation methods applied were ploughing (C1), direct drilling (C2) and deep loosening (C3). In addition, 3 fertilisation rates were applied to each cultivation system: F1 (control, no fertilisation); F2 (100 : 50 : 70) kg NPK/ha and F3 (150 : 100 : 120) kg NPK/ha in a randomised complete block design (RCBD) with 4 replicates. Our results showed that fertilisation did not affect the yield of sweet corn measurably. However, C1 resulted in the highest yield, whereas C2 and C3 resulted in relatively similar yields. In sunflowers, the yields of both C1 and C2 were higher than that of C3. No significant differences were recorded between C1 and C2. The yields of both F2 and F3 were higher than the yield of F1. The differences between F2 and F3 were insignificant. It could be concluded that the cultivation method is a determining factor in the yield of sweet corn. The effects of both fertilisation and cultivation treatments were more detectable in sunflowers. The differences between the two fertilisation rates (F2 and F3) were insignificant in both species, indicating that the extra fertilisation levels might be unnecessary.

Nutraceuticals are food ingredients that provide extra health advantages that expand above their nutritional value. Nutraceuticals comprise amino acids, antioxidants, minerals, vitamins, probiotics, prebiotics, synbiotics, enzymes, organic acids, fatty acids, medicinal plants, etc. Recently, nutraceuticals have acquired much attention in poultry industry by reason of their potential effects on establishing the normal physiological status, supporting the immune system, and disease prevention, which consequently enhances productivity. The technique of in ovo feeding (IOF) of nutraceuticals holds several promises in poultry industry. The vital benefits of IOF of nutraceuticals are enhancement of intestinal development, establishment of a balanced microbial population in the gut, support of intestinal physiology and health. Interestingly, IOF of nutraceuticals participates in improving the antioxidative properties and energizing the immune system, which thereby translated into greater performance and bigger resistance to diseases, especially in early life challenges. The current review attempts to throw more light on the fresh results associated with the profits of IOF of nutraceuticals on intestinal histomorphology, intestinal microbiota, antioxidative properties, immune responsiveness, hatchability, chick quality, and growth performance in poultry.

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

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

This article focuses on the development possibilities of the venison market in the Czech Republic. The main factors affecting the primary game market were investigated, both production limitations on the side of the hunters and on the side of the game production purchase prices. These factors were analysed in the context of the consumer prices of general meat production and the purchase prices of common meat (beef, pork). Furthermore, the size of the total game market was estimated, taking into account the export and import of this commodity. The potential venison market size for the Czech Republic was also established in the study. The gap between the development of the market consumer prices and purchase prices of the venison was analysed. The conducted research further revealed that the respondents do not perceive a relationship between the production of venison and the protection of forest ecosystems. With few exceptions, they do not realise that by buying and consuming venison, they can contribute to the support of forestry. Furthermore, the perception of the role of the forest environment in relation to game meat by the public does not correspond to the need to regulate the game density to limit damage to forest stands. The results of this research are recommendations which mainly consist in expanding the offer of the primary production to products significantly closer to the consumer market (moving from a producer market to a consumer market), and the implementation of activation campaigns (tastings, presentations of opinion makers). At the same time, our work revealed the need for further development, and by increasing the value for the customer who, with the appropriate marketing strategy, can perceive this product as a premium organic food through which they contribute to sustainable forest management.

Porcine deltacoronavirus (PDCoV) and porcine sapelovirus (PSV) are two viruses that can cause diarrhoea in pigs and bring great economic loss to the pig industry. In this research, a duplex real-time quantitative polymerase chain reaction (qPCR) assay based on SYBR Green І was developed to simultaneously detect PDCoV and PSV. No specific melting peaks were found in other porcine diarrhoea-associated viruses, indicating that the method developed in this study had good specificity. The detection limits of PDCoV and PSV were 1.0 × 10¹ copies μl^–1 and 1.0 × 10² copies μl^–1, respectively. The duplex real-time qPCR assay tested two hundred and three (203) intestinal and faecal samples collected from diarrhoeal and asymptomatic pigs. The positive rates of PDCoV and PSV were 20.2% and 23.2%, respectively. The co-infection rate of PDCoV and PSV was 13.8%. To evaluate the accuracy of the developed method, conventional PCR and singular TaqMan real-time qPCR assays for PDCoV/PSV were also used to detect the samples. The results showed that the duplex real-time qPCR assay was consistent with the singular assays, but its sensitivity was higher than conventional PCR methods. This duplex real-time qPCR assay provides a rapid, sensitive and reliable method in a clinic to simultaneously detect PDCoV and PSV.

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.

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.

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.

The paper aims to identify the changes and intensity of the factors influencing consumers’ purchasing decision-making process in the food market. The research offers a unique comparison of the situation between the years 2007 and 2022 and reveals the emerging factors affecting consumer decisions. The authors conducted a representative questionnaire survey (N = 686) to determine the influence of individual factors. The data were processed using factor analysis, which allowed for the reduction of the number of factors (20) to four determinants covering 61% of the total variability in the dataset. The determinants of consumer purchasing decisions include traditional promotional elements, product parameters, newly formed factors based on sustainability and health awareness trends, and price discounts. Consumer behaviour appears to be influenced by a wide range of short- and long-term factors, and it is necessary to look at it comprehensively over a longer time horizon, taking current trends into account.