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Recent advancements in remote sensing techniques, especially the combination of hyperspectral imaging with analytical algorithms, have greatly improved precision agriculture. This study introduces some algorithms developed for identifying crops and evaluating their growth conditions, focusing on irrigation and fertilisation. The present approach is based on the concept of identifiability of a family of dynamic systems and the differentiation of plants using their spectral signatures. The method uses a repository of spectral data and applies a developed algorithm to compare the measured spectra with the reference database, enabling the identifiability and the recognition of both known and unknown crops. As an application of our approach, we have considered two different crops: mint and rosemary, under different irrigation and fertilisation conditions. The results show that the algorithm achieved a 100% identification rate across the four unknown samples. The minimum spectral distances obtained are 0.01 and 0.03 for rosemary and mint, respectively. Thus, the family of systems was identifiable with a tolerance of η < 0.03. The study concluded that the algorithm effectively classifies the crop type and deduces its growth conditions, demonstrating its effectiveness for agricultural monitoring.

The relationship between the early ground cover and the grain yield in winter wheat is not yet fully understood. In a winter wheat breeding programme, selection for early ground cover is traditionally made using visual scoring. Although visual scoring is preferred as a phenotypic screening tool by wheat breeders, its output may not be reliable, as it requires experience. A smartphone camera-based digital image technique can be recommended as a feasible, reliable, repeatable, affordable, and fast selection tool for early ground cover in wheat as an alternative to visual scoring. For this purpose, two wheat trials were conducted in the 2017-2018 and 2019-2020 seasons. In both seasons, 215 wheat genotypes in total, together with three checks from spring wheat, were tested under rain-fed conditions in the spring wheat zone in Turkey. All the tested wheat genotypes were grouped into spring, facultative, and winter growth habit using visual scoring. Simultaneously, photos were taken from each plot with a smartphone camera, and the early ground cover (%) was estimated using the smartphone camera-based digital image technique. The relationships between grain yield, visual scoring, and early ground cover could so be estimated. In both seasons, significant negative correlation between grain yield and visual scoring (r = -0.679** and r = -0.704**, respectively) and significant positive correlation between the grain yield and the early ground cover (r = 0.745** and r = 0.747**, respectively) were observed. The correlation between visual scoring and early ground cover were negative (r = -0.862** and r = -0.926**, respectively). The broad sense heritability estimates in both seasons were 0.51 and 0.85, respectively, for early ground cover, 0.91 and 0.94 for visual scoring, and 0.86 and 0.69 for grain yield. In this study, we revealed that testing winter wheat genotypes in the spring wheat zone rather than in the winter wheat zone could be a more effective way to unveil the positive relationship between the early ground cover and the grain yield. We have shown that the smartphone-based digital image technique is a useful selection tool for early ground cover in winter wheat.

This study was conducted to find out the seasonal evapotranspiration (ET_c) and crop coefficient (K_c) for walnut trees (ages one to nine) that were grown with drip irrigation in Türkiye’s semi-arid climate. Three different irrigation levels were applied at five-day intervals based on cumulative Class A pan evaporation using irrigation treatment coefficients (K_t = 0.75, 1.00, and 1.25) during the 2015, 2016, 2017, 2018, 2019, 2021, 2022, and 2023 growing seasons. The amount of irrigation water applied to the treatments varied from year to year according to the measured Class A pan evaporation amounts. The total amount of irrigation water applied to the treatment subjects varied between 371.7 mm and 619.6 mm as an average of eight years. Total ET_c of walnut trees varied over the years depending on the applied irrigation water and measured rainfall. The total evapotranspiration estimated from the I₂ treatment, representing the irrigation regime in which 100% of Class A pan evaporation was applied, fluctuated between 676.5 and 585.9 mm over the study years. The daily reference evapotranspiration (ET₀) values are calculated as between 1.85 and 7.07 mm/day. The K_c values for walnut trees were calculated as 0.55 for April, 0.71 for May, 1.02 for June, 1.07 for July, 1.01 for August, and 0.74 for September on average. The research revealed that seasonal evapotranspiration and plant coefficient values can assist in calculating the water requirements of walnut trees and improve water management in semi-arid regions.

Strawberry mild yellow edge virus (SMYEV) was detected in 116 samples out of 423 collected from strawberry plants grown in commercial and experimental plantations in seven provinces of Poland. The number of samples infected with strawberry mottle virus (SMoV) accounted for 84.6% of the 26 SMYEV-positive samples selected for sequence analysis. The nucleotide sequence similarity of the coat protein (CP) gene of 26 selected SMYEV isolates ranged from 84.8% to 100%, and 81.4–99.5% identity was found between these isolates and 48 SMYEV strains from different countries. The CP region's phylogenetic analysis showed that most isolates from Poland clustered within group I (type D74). In contrast, Talis and 3233CL isolates represented group III (type MY18), and the San isolate was clustered in group V (type ABY1-01). Recombination analysis of the CP gene sequences detected two possible recombination events. One was noticed in the Argentinian strain 53, which formed group III with isolates from Chile, and Polish isolates Talis and 3233CL. Another was identified in the Chinese strain sy02 sequence with evidence of the same recombination event in Canadian strains, and the Polish isolate San (V group). Leaf epinasty, mottling, and yellowing of the young leaves and dieback of the older leaves were observed on Fragaria vesca 'Alpine' and 'EMC' indicator plants grafted with leaves of strawberry plants co-infected with SMYEV and SMoV. A single infection with SMYEV induced milder symptoms based on these indicators. 

Diarrhoea in newborn piglets represents a significant challenge to pig production. Controlled oral exposure, also known as “feedback”, whereby sows are exposed at least two weeks before farrowing to pathogens that cause health problems in piglets, is a traditional method of diarrhoea prevention. One type of feedback involves fermenting cow’s milk with faeces from piglets suffering from diarrhoea and administering it to sows before farrowing. The bacterial composition of the faecal inoculum and fermented milk was compared in this study, and the safety of administering the fermented milk to pregnant sows was evaluated. Using microbiota characterisation by 16S rRNA gene sequencing, the genera Acetobacter, Lactobacillus and Lactococcus formed the core microbiota of the fermented milk. However, Clostridium perfringens accounted for up to 33% of the total microbiota in some fermented milk samples. Interestingly, the drop in pH during the later stages of fermentation inactivated C. perfringens and the samples were thus enriched for inactivated C. perfringens antigen. Our findings contribute to a better understanding of the mode of action of fermented milk when used as a form of feedback.

Rice is a crucial food commodity worldwide, particularly in Asian countries. However, various factors, such as drought, floods, and pest attacks, can lead to the emergence of diseases in rice plants. Accurately identifying these diseases poses a significant challenge for farmers, often leading to significant yield losses. Conventionally, farmers rely on manual methods based on their experience and visual inspections to identify rice diseases. However, this approach is highly ineffective, time-consuming, and prone to error. This study aimed to address this issue by proposing advanced deep learning techniques, an ensemble learning method, to automate and enhance the identification of rice plant diseases. The ensemble learning method was proposed by leveraging two state-of-the-art pre-trained models: EfficientNetV2B0 and MobileNetV3-Large. The proposed Average Ensemble method demonstrates superior performance compared with single models. The proposed Average Ensemble achieved superior performance with an average precision of 0.9339, a recall of 0.9330, an F1-score of 0.9328, and a test accuracy of 0.9330. The results of this study can be used to aid farmers and researchers in accurately identifying rice diseases, ultimately supporting better disease management practices, and enhancing the agricultural productivity.

The apple scab, caused by Venturia inaequalis, is one of the most devastating diseases of apples because it drastically affects the aerial parts of the tree. Apple breeding programs frequently aim to develop cultivars exhibiting resistance to scab. Thus, controlled pollinations were performed on apple trees in 2021. The experiment was organised into a hybridisation scheme involving six apple cultivars. The scheme consists of: five female genitors (‘Auriu de Bistrița’, ‘Jonathan’, ‘Golden Delicious’, ‘Starkrimson’, and ‘Idared’) and one male genitor (‘Florina’ – donor for the Vf). To quickly identify the Vf gene in the early development stage of progenies, three pairs of primers were used: AM19, AL07, and VFC. The hybrid combinations with the highest percentage of progenies inheriting the Vf resistance gene were: ‘Starkrimson’ × ‘Florina’ (59.2%), followed by ‘Jonathan’ × ‘Florina’ (57.1%). The hybrids that inherited the Vf resistance gene have been transferred to the field and are being further examined for their resistance against scab infections in the field, in the proximity of a natural source of the inoculum infection pressure.

A significant challenge for the sustainable dairy sector is incorporating by-products generated during other food production and agricultural processes, such as fruit, vegetable, legume, oilseed, and grain production, into dairy products. In previous decades, by-products from these sectors were mainly used as feed for dairy cows and other animals. Currently, there is a trend to use these materials also in dairy production, for fortifying and developing novel dairy products. Additionally, their incorporation into dairy products offers the modification and enhancement of the technofunctional properties. This review summarises contemporary approaches and the current state of sustainable production in the dairy sector, with an emphasis on techno-functionality.

Global warming caused by climate change can increase heat stress and greenhouse gas (GHG) emissions, leading to food problems and livestock crises. Thus, pre-emptive responses are required to mitigate the food problems and livestock crises. The potential of a livestock crisis caused by global warming highlights the need for sustainable livestock production in response to climate change using a farm animal algorithm in order to address the population increase and avoid food problems in the future. In particular, the demand for animal-based foods has increased. Such a climate change threatens the livestock environment, production, reproductive efficiency, animal behaviour and welfare, while increasing the heat stress, livestock malodours, and GHG emissions. For these reasons, it is necessary to understand the concurrent mechanisms related to these effects of global warming, animal nutrition, animal feeding and management, animal heat stress and in ovo injection, and carbon neutral livestock. Climate-smart livestock systems are being implemented to overcome the livestock crisis caused by climate change and to maintain sustainable livestock production. This review emphasises the importance of sustainable livestock production using farm animal algorithms in response to a future livestock crisis caused by climate change in 2050.

Climatic microrefugia allow some forest tree species to persist outside their main distribution range by locally decoupling site conditions from the regional climate. At its western, oceanic range margin in the Swiss Prealps, the Swiss stone pine (Pinus cembra L.) occurs on large boulders embedded within subalpine forests dominated by Norway spruce [Picea abies (L.) H. Karst.]. We hypothesised that these landforms generate a continental-like microclimate enabling P. cembra persistence under otherwise sub-oceanic conditions, and we aimed to quantify this phenomenon. Using high-resolution data loggers, we measured air and soil temperature, thermal amplitudes, and soil moisture on the summits and at the bases of ten limestone boulders over a two-year period. Linear mixed-effects models revealed a pronounced microclimatic decoupling between positions. Boulder summits were consistently warmer and drier during the growing season. In contrast, during winter, summits were significantly colder, while boulder bases remained thermally stable due to persistent snow insulation. The strongest microclimatic divergence occurred in spring, when temperatures at the bases remained stable near 0 °C, whereas summit temperatures were markedly warmer and more variable. This continental-like microclimate likely promotes P. cembra persistence. Our results highlight the importance of topographic heterogeneity for maintaining marginal tree populations.

Economic globalisation (EG) in developing countries has continued to increase over the last 40 years. EG has both beneficial and harmful impacts on all sectors, including agriculture. This paper aims to determine the impact of EG on agriculture in developing countries. This aim was met by conducting a systematic review (SR) of 64 papers from Scopus and Web of Science (WoS). EG has influenced various elements of agriculture in developing countries, including i) product, supply chain, food security, ii) trade, iii) economic, social, political element and environment and iv) technology and research and development (R&D). We propose several policies in this paper to maximise EG's positive impact while minimising its negative impact.

This study evaluated the effects of hybrid, vegetation period duration, weather conditions, and harvest timing on sugar beet (Beta vulgaris L.) yield and technological quality under short-rotation cropping systems in the Western Forest-Steppe of Ukraine. Field experiments were conducted in 2022–2024 on commercial fields using six industrial hybrids and five harvest intervals from late September to mid-November. Root yield, sugar content, sugar yield, α-amino nitrogen, K⁺ and Na⁺, invert sugars, and the technological quality index (Iq) were assessed using ANOVA, correlation analysis, and principal component analysis (PCA). Extending vegetation from 185 to 200 days increased root yield by 11–12% and sugar yield by 0.8–1.2 t/ha. The optimal harvest window (10–25 October) provided the highest performance, with root yields of 68–73 t/ha, sugar content of 16.2–16.6%, and sugar yields of 14.6–16.3 t/ha. Early harvest resulted in reduced sugar content and Iq, whereas harvesting after 10 November did not increase yield and caused deterioration of technological quality due to elevated α-amino nitrogen and molasses-forming ions. PCA showed that over 85% of the total variation was explained by technological quality and moisture-related factors. Strube hybrids demonstrated greater stability under extended vegetation compared with KWS hybrids. These results define an optimal harvest window for maximising sugar beet productivity and quality under temperate meteorological conditions.

In this study, the isolation, biotyping and molecular characterisation of Brucella melitensis from cattle, sheep and goats in North Cyprus are reported on. A total of 319 raw milk samples obtained from seropositive dairy livestock (190 cattle, 74 sheep and 55 goats) and tissue samples including the liver, spleen and abomasal contents obtained from 32 aborted foetal samples (5 cattle, 18 sheep and 9 goats) were analysed for the presence and characterisation of the agent. B. melitensis was isolated and identified from 90 out of 319 (28.2%) milk and 19 out of 32 (59.4%) foetal samples by conventional bacteriological methods. Identification of all 109 isolates was confirmed by using real-time PCR with genus and species-specific primers. Following the preliminary identification, 27 selected isolates representing various counties and herds were further analysed by conventional methods. Twenty (74.1%) isolates were identified as B. melitensis biovar 1 and seven (25.9%) were identified as B. melitensis biovar 3. The Bruce-ladder multiplex PCR assay revealed that all the isolates were field strains. The results of the present study confirmed the presence of B. melitensis in livestock including the cattle population in North Cyprus. Even though the majority of the samples came from seropositive cattle, Brucella abortus was not isolated in the study. The results also revealed the potential public health risk of brucellosis in livestock emphasising the need of implementing strict control and eradication strategies against the disease in animal populations in order to protect human health.

This study investigated the effects of the dietary addition of wormwood (Artemisia montana Pampan) on growth performance, blood characteristics, carcass traits, and meat quality in growing-fattening pigs. One hundred eighty crossed pigs (Landrace × Yorkshire × Duroc), weighing approximately 70 kg, were divided into four groups of 15 head (eight barrows and seven gilts) per pen, and the experiment was replicated thrice. The basal diet (C) was supplemented with 0.5% (T1), 1.0% (T2), and 1.5% (T3) of dried powdered wormwood, and the pigs were fed an experimental diet for six weeks. The average daily weight gain and feed efficiency were significantly higher (P < 0.05) in treatments than in C. On the contrary, the total cholesterol concentration was significantly lower (P < 0.05) in treatments than in C. Additionally, the high-density lipoprotein cholesterol concentration was significantly higher (P < 0.05), and the carcass grade was better (P < 0.05) in the treatments than in C. The ether extract content of the longissimus dorsi (LD) muscle was lower (P < 0.05) in T2 and T3 than that in C. In contrast, the unsaturated fatty acid (USFA) composition in LD muscle was higher (P < 0.05) in the treatments than in C. Additionally, the marbling and flavour of cooked meat were better (P < 0.05) in the treatments than in C. The dietary addition of wormwood increased (P < 0.05) lightness and yellowness of the surface meat colour and decreased (P < 0.05) juiciness of the LD sensory evaluation. Therefore, the dietary addition of wormwood improved growth performance, feed efficiency, carcass grade, USFA composition, and oxidation of protein and lipids in the LD muscle of growing-fattening pigs.

Scots pine (Pinus sylvestris L.) forests belong to the most relevant forest types in the Western Ukrainian Roztochia area. The promotion of close-to-nature forest management in Ukraine in the framework of the forest strategy 2 035 supports natural regeneration and the application of diverse felling methods beyond clearcutting. In the present study, natural regeneration was analysed in mixed Scots pine stands on poor and relatively rich soils, after small clearcuts, shelterwood cutting and gap fellings (with or without soil preparation), with respect to tree species composition, species abundance and height growth. It could be shown that Scots pine is the most abundant species in all the felling systems, with on average more than 100 000 plants per ha on poor soils. Other admixed tree species only occur with small shares. Natural regeneration, especially of Scots pine, was less abundant on rich soils and in shelterwood, compared to a small clearcut. After the young plants have established, their abundance declined in the second and third year due to competing herbaceous plants and thick litter.

The research aimed at the assessment of N₂O emission from agricultural soils subject to different fertilization conditions. It was carried out on a long-term experiment field in Skierniewice in Central Poland maintained with no alterations since 1923 under rye monoculture. The treatments included mineral (CaNPK), mineral-organic (CaNPK + M) and organic (Ca + M) fertilization. Measurements were conducted during the growing periods of 2012 and 2013. N₂O emissions from the soil were measured in situ by the means of infrared spectroscopy using a portable FTIR spectrometer Alpha. N₂O fluxes over the measurement periods showed high variability with range 0.13-11.20 g N₂O-N/ha/day (median 2.87, mean 3.16) from mineral treated soil, 0.23-11.06 g N₂O-N/ha/day (median 3.64, mean 3.33) from mineral-organic treated soil and 0.25-12.28 g N₂O-N/ha/day (median 3.14, mean 3.55) from organic treated soil. N₂O fluxes from manure-treated soils were slightly higher than those from soils treated exclusively with mineral fertilizers. N₂O fluxes were positively correlated with soil temperature, air temperature, and content of both, NO₃^- and NH₄⁺, in the soil (0-25 cm) and, to a lesser degree, negatively correlated with soil moisture. Based on the measured N₂O flux and its relationship with environmental factors it can be concluded that both, nitrification and denitrification the are important sources of N₂O in mineral soils of Central Poland, where the average soil water-filled pore space during the growing period range from 22-35%. Under the climate, soil and fertilization conditions in Central Poland, the N₂O emission from cultivated soils during the growing period is approximately estimated as 0.64-0.73 kg N/ha.

The present study was aimed at investigating the role of in ovo administered amino acids: lysine, arginine, threonine or methionine plus cysteine (Met+Cys) in 14-day embryos on expression profile of growth (chicken growth hormone (cGH), insulin like growth factors (IGF) I and II, and mucin) and immunity related genes (IL-2, IL-4, IL-6, IL-12, TNF-α, and IFN-γ). On incubation day (ID) 18, higher (P < 0.01) cGH and mucin gene expression was observed in lysine, threonine, arginine or Met+Cys injected embryos, while IGF-II expression was higher in threonine, arginine or Met+Cys injected embryos on ID 20. Expression of growth genes was down regulated (P < 0.01) on day of hatch in most of the amino acids injected chicks. On day 7 post-hatch (PH), threonine or arginine exhibited higher expression of cGH, IGF-I, and IGF-II but higher mucin gene expression only on day 14 PH. Threonine or Met+Cys injected birds had higher expression of IL-6 and TNF-α, while arginine injected birds had higher TNF-α expression. Lysine, threonine or Met+Cys injected birds had higher IL-2, but lower of IL-12 and IFN-γ gene expression. It is concluded that arginine and threonine enhanced the expression of growth related genes, while threonine and Met+Cys modulated expression of immune genes in broiler chickens.

The cabbage armyworm (Mamestra brassicae L.) and the bright-line brown-eyes moth (Mamestra oleracea L.) are polyphagous insect species. From 2008 to 2010, we monitored the seasonal dynamics of both pests in two locations in Slovenia, Ljubljana and the Nova Gorica region. Pheromone traps (VARL + type) were used to precisely determine the occurrence of adults, i.e., the beginning and end of generations and the peaks of the populations. This allowed us to examine the relationship between the quantity of pests, average daily air temperature and average daily precipitation. Our results established that there were two generations of Mamestra brassicae per year in both locations; however, the seasonal dynamics of Mamestra oleracea was not as clear due to low trap catch. During 2008-2010 in Ljubljana, the average temperature during the peaks of the first generation of M. brassicae ranged from 16-19°C (sum of effective temperatures (SET) from 250°C to 375°C) and 20°C (SET from 986°C to 1,290°C) during the peaks of the second generation. We found no correlation between the average number of cabbage armyworm adults during the peaks of both generations and the mean air temperature 35 and 70 days prior to the peaks.

This study was designed to test the hypothesis that pre-analytical treatment of relatively fragile cells is more important for their viability and function than shear forces and decompression shocks on a flow cytometric sorter. Human neutrophils were enriched using different techniques (sedimentation, hypotonic or ammonium chloride-mediated erythrocyte lysis) and their function was evaluated by measuring their capability of mounting oxidative burst. In contrast to other isolation techniques, neutrophils enriched by spontaneous sedimentation were found to be intact both in terms of their function and relative numbers within the leukocyte population; such preparations were thus run on a FACSAria cell sorter using 70, 85 and 100 µm nozzles and the corresponding internal pressure values. The viability and function of sorted neutrophils with or without subsequent cultivation were re-evaluated using phagocytosis assays. Independent of the nozzle size and internal sorter pressure, the capability of neutrophils of responding to E. coli stimulation was impaired after sorting while phorbol myristate acetate stimulation remained intact. In tested samples, only 20 h incubation of sorted cells confirmed the expected influence of the nozzle size on the sorted cell function. We conclude that pre-analytical treatment is more important for cell function than conditions during sorting.

The changes were studied in microbiological, chemical, and sensory properties of Pacific oysters stored at 10°C, 5°C, and 0°C. Pseudomonas (22%) and Vibrionaceae (20%) species were dominant in raw oysters. The dominant bacteria found in the spoiled samples were Pseudomonas regardless of the storage temperature. During storage, rapid increases in aerobic plate count (APC) values of the samples stored at 10°C and 5°C were observed, while no obvious lag phases were detected. With the samples stored at 0°C, a decrease in APC value during the first 4 days and a lag phase of about 6 days were observed. The APC values of the samples stored at 10°C, 5°C, and 0°C reached the level of 10⁷ CFU/g on day 6, 10, and 18, respectively. All the tested samples stored at different temperatures revealed a slight decrease in pH and a significant increase of total volatile basic nitrogen (TVB-N) during storage. The average TVB-N concentration of about 22.0 mg N/100 g was observed at the end of the shelf-life as determined by APC. Combined with the sensory assessments, the shelf-life of 6-7, 10-11, and 17-18 days for oysters stored at 10°C, 5°C, and 0°C, respectively, was determined.

We used the discriminant analysis of curd cheese during storage by Fourier transform near infrared spectroscopy method (FT-NIRs). Olomouc curd cheese samples were stored at 5 and at 20°C during seven weeks. The spectra of samples were measured at the integration sphere in reflectance mode with the use of a compressive cell in the spectral range of 10 000-4000 cm^-1 with 100 scans. Ten principal components were used for all the calibration models. Great similarity between the samples stored at 5 and 20°C was found. Twelve samples stored at 20°C for 1 week and 2 samples stored at 20°C for 2 weeks were classified as samples stored at 5°C. Different results were found out by comparing the storage time. 100% variability was described between the spectra scanned in different weeks of storage at 5°C and 99.9% variability was obtained for the samples stored at 20°C. Thus, the discriminant analysis of Olomouc curd cheese by FT-NIRs is a suitable method for the determination of ripening time.

The knowledge of forest development after disturbances, particularly anthropogenic disturbances, is of major importance for forest management. Many areas of mountain forests in Europe have been affected by human activities such as felling and livestock grazing in the past and then left for natural succession. Those forests provide several ecosystem services (e.g. soil or avalanche protection) and therefore it is vital to know their developmental processes. The Norway spruce forest stand in the area of Medvědí Mt. (Šumava National Park, Czech Republic), known as the Jewish Forest, is considered an example of succession after anthropogenic disturbances. This study aimed to: (1) analyse the history of disturbances which affected the locality, (2) describe the subsequent process of forest succession which led to the development of the present forest formation. We conducted a dendrochronological analysis and a spatial analysis. The main cohort was established after a period of disturbances in the first half of the 20^th century. Both natural (windstorm) and anthropogenic (logging and livestock grazing) disturbances coincided during this period. Regeneration of low density was restricted to a short period after the disturbance and was likely dependent on the occurrence of proper microsites. Later, regeneration was probably obstructed by lack of convenient microsites and high competition of the herb layer. Nowadays, new regeneration emerges together with proper microsite at decaying wood and near mature trees. We conclude that anthropogenic disturbances can limit the density and heterogeneity of regeneration, which leads to the establishment of sparse stand. This structure can persist for decades before proper microsites accumulate and enable regeneration.

We identify five rice cultivars by mean of developing an image processing algorithm. After preprocessing operations, 36 colour features in RGB, HSI, HSV spaces were extracted from the images. These 36 colour features were used as inputs in back propagation neural network. The feature selection operations were performed using STEPDISC analysis method. The mean classification accuracy with 36 features for paddy, brown and white rice cultivars acquired 93.3, 98.8, and 100%, respectively. After the feature selection to classify paddy cultivars, 13 features were selected for this study. The highest mean classification accuracy (96.66%) was achieved with 13 features. With brown and white rice, 20 and 25 features acquired the highest mean classification accuracy (100%, for both of them). The optimised neural networks with two hidden layers and 36-6-5-5, 36-9-6-5, 36-6-6-5 topologies were obtained for the classification of paddy, brown, and white rice cultivars, respectively. These structures of neural network had the highest mean classification accuracy for bulk paddy, brown and white rice identification (98.8, 100, and 100%, respectively).

Five samples of polyfloral bee bread originated from two regions of Eastern Ukraine were characterised by microscopic (SEM) and spectroscopic (FT MIR ATR, FT NIR, FT Raman and Vis) methods. Identification of pollens was based on the SEM images. Spectral differences were interpreted in terms of specific contribution of the main chemical constituents (proteins, phenolics, sugars, etc.) and pigments (flavonoids and carotenoids) of bee breads. PCA of FT NIR and Vis data was used for discrimination of bee bread samples according to botanical sources. The morphometric parameters, antioxidant capacity and prebiotic ef fects of bee breads were also studied. Obtained results expand the knowledge in the composition and properties of this beekeeping product.

The possibility of sweet sorghum cultivation with different inter-row distances (20, 50, 75 cm) was verified in small scale plots with 3 cultivars (Bovital, Goliath, Sucrosorgho). The maize cv. Atletico (rows 75 cm) was used as a control. The influence of row width and cultivar on fresh and dry biomass, methane and biogas production per area was statistically significant. The methane and biogas production was evaluated in laboratory, via fermentation in Oxi Top Control Merck bottles. Generally, sorghum was more productive than maize. The highest biogas production per hectare was found in case of 25 cm row spacing. Goliath was the most yielding cultivar (in all parameters). The experiment proved possibility to produce biomass from sorghum in narrow rows for biogas stations in the Czech Republic.

An evaluation of the effects of soil structural heterogeneity on maize (Zea mays L.) root system architecture was carried out on plants grown in boxes containing fine soil and clods. The clods were prepared at two levels of moisture (0.17 and 0.20 g/g) and bulk density (ranges 1.45-1.61 g/ml and 1.63-1.79 g/ml). Soil moisture directly affected the probability of clod penetration by maize roots. Primary roots inside the clods manifested morphological deformations in the form of bends. We observed a significant increase of bends per root length at lower soil moisture (P = 0.02). Root diameter and branching density increased, and lateral root length decreased considerably inside the clods. However, once emerging out of the clods and into free soil, values of all three characteristics remained low. While changes in root diameter were caused mainly by clod moisture (P < 0.05), length of lateral roots was related to bulk density (P < 0.01). Branching density was modified exclusively by an interactive effect of both factors (P < 0.05).

The objective of this study was to investigate the capability of radish to extract lead from soils contaminated with lead resulting from air pollution. A randomized block experiment design was performed. The soil was contaminated with PbNO₃ and the treatments consisted of 180 (standard), 250, 350, 450, 800 and 1000 mg/kg lead. After development, plants were harvested and divided into shoots and roots. The lead content of each plant part as well as the soil-lead were measured. The results indicated a non-linear positive relation between the lead concentrations in soil and that accumulated in plant roots and shoots. By increasing the lead concentration in soil, its accumulation in plant tissues was also increased. Most of the extracted lead was accumulated in the roots (208.1 mg/kg) compared to shoots (27.25 mg/kg). Since radish can be seeded up to five times a year, and its yield may reach up to 20 t/ha, it can be used to remediate lead-polluted topsoils (0-10 cm).

Selected parameters characterizing the chemical composition of bones were determined in 60 male and 60 female hybrid Ross 308 chickens aged 40 days at the end of the fattening period. The chickens received a complete feed mixture intended for pre-feeding (starter) in a period from the start of the experiment until Day 10, followed by the feed mixture intended for fattening until Day 30 (grower), and the feed mixture for the third phase of fattening, i.e. until Day 40 (finisher). The feed mixtures and drinking water were provided ad libitum. At the end of the experiment, chickens were slaughtered and the femur and the tibiotarsus from the right pelvic limb were collected and the following parameters were determined in wet tissue: dry matter (DM), crude protein (CP) (N × 6.25), fat, ash, calcium (Ca), phosphorus (P) and magnesium (Mg); the content of organic matter was calculated. The resultant values were recalculated to 100% of DM. Differences between males and females in the chemical composition of retrieved bones were investigated. The content of CP in wet tissue from both bones ranged from 354.0 ± 11.8 to 365.1 ± 14.3 g/kg being significantly lower (P < 0.01) in the tibiotarsus. Differences between sexes were very small. The content of fat in the bones ranged from 16.12 ± 8.71 to 16.17 ± 8.85 g/kg, with higher levels of fat being detected in female chickens (17.16 ± 8.53 to 17.24 ± 8.28 g/kg) as compared to male chickens (15.01 ± 9.05 to 15.19 ± 9.12 g/kg). No statistically significant differences between the femur and the tibiotarsus were detected. The levels of ash ranged from 472.2 ± 13.1 to 480.1 ± 10.83 g/kg, being statistically higher in the tibiotarsus in both male and female chickens (P < 0.01; P < 0.001). The levels of Ca ranged from 180.4 ± 8.57 to 181.6 ± 12.32 g/kg, showing higher values in both bones from female chickens (181.7 ± 9.17 to 183.8 ± 14.71 g/kg), as compared to male chickens (179.2 ± 7.8 to 179.3 ± 8.91 g/kg). No statistically significant changes were found. The levels of P ranged from 83.17 ± 9.82 to 83.29 ± 7.42 g/kg, with higher levels being observed in female chickens (84.1 ± 9.21 to 89.8 ± 7.47 g/kg), as compared to male chickens (76.5 ± 6.93 to 82.5 ± 5.00 g/kg). The levels of P were significantly higher in the femur (P < 0.001) in female chickens and in the tibiotarsus (P < 0.001) in male chickens. The Ca:P ratios for both analysed bones was greater in males (femur 2.20, tibiotarsus 2.21), as compared to females (femur 1.98, tibiotarsus 2.09). The mean weight of male and female broiler chickens on Day 40 was 2 694 ± 32.6 g and 2 345 ± 23.9 g, respectively. In comparison with the expected performance parameters of ROSS 308 hybrid chickens, the weight increased in both male and female chickens by 8.2% and 10.6%, respectively. Although the chickens grew very quickly, no clinical signs indicating pathological changes in the bone system were found.

The use of skidding machinery in logging operations causes destructive effects especially on soil but has many advantages such as extracting long and heavy logs, optimum use of useful logging time and absence of defect in wood production quality and thus an increase in the added value of wood. In this research compartment 40 of the second district of Nav-Asalem in northern Iran at an altitude of 1,050-1,450 m above sea level was chosen in order to assess the amount of displaced soil volume and depth of ruts due to the traffic of Timber Jack 450C rubber wheeled skidder along the skid trail. Therefore, the correlations between two independent variables, longitudinal slope and soil texture, with two dependent variables, displaced soil volume and average depth of rut, along the skid trail were examined after 20 passes of skidder machinery. The results of this research showed a significant difference between the longitudinal slope increase of skid trail and the amount of soil volume displaced (P < 0.001). However, there was no significant correlation between the mean rut depth and different classification of longitudinal slope along the skid trail. The highest measured rut depth was 22 cm and occurred in the slope class of more than 25%. There was no significant correlation between the amount of displaced soil volume and rut depth with changes in soil texture along the skid trail.

Vegetation significantly affects hillslope mechanical properties related to shallow landslides and slope stability. The objective of this study was to investigate and quantify the effect of Oriental beech root reinforcement on slope stability. A part of Hyrcanian forest in northern Iran was selected for the study area. To do the research, the Wu model (WM) was used and data related to the distribution and tensile strength of Oriental beech roots were collected. Root distribution was assessed using the concept of the root area ratio and trenching method. Laboratory tensile tests were conducted on fresh roots for strength characteristics. The factor of safety was calculated for two different soil thicknesses (1 and 2 m) and slope gradients between 10 and 45°. The results showed that the root distribution generally decreased with increasing soil depth and the mean root strength value was 38.23 ± 1.19 MPa for 0.35-5.60 mm diameter range. The results verified a power relationship between tensile strength and root diameter. The reinforcement effect (C_r) decreased with depth and the strongest reinforcement effect was in the second soil layer (10-20 cm) which showed a shear strength increase of 1.47 kPa. The increased factor of safety due to the presence of roots in one- and two-metre soil thicknesses was 27-44% and 15-26%, respectively. The improvement effect of roots was increased with increasing slope gradient and shallower soil thicknesses.