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The presented study estimated the aboveground biomass (AGB) of Pinus roxburghii (chir pine) natural forests and plantations, and created biomass maps using a relationship (regression model) between AGB and Sentinel-2 spectral indices. The mean AGB and BGB (belowground biomass) of natural forests were 79.54 Mg·ha^–1 and 20.68 Mg·ha^–1, respectively, whereas the mean AGB and BGB of plantations were 94.48 Mg·ha^–1 and 24.56 Mg·ha^–1, respectively. Correlation showed that mean diameter at breast height (DBH) and mean height have weak relationships with AGB, and BGB has shown correlation coefficients (R² = 0.46) and (R² = 0.56) for polynomial models. Regression models between AGB (Mg·ha^–1) of Pinus roxburghii natural forest and Sentinel-2 spectral indices showed a strong relationship with Ratio Vegetation Index (RVI) with R² = 0.72 followed by Normalized Difference Vegetation Index (NDVI) and Atmospherically Resistant Vegetation Index (ARVI) with R² = 0.70. In contrast, the lower performance of spectral indices has been shown in regression with plantation AGB. Correlation coefficients (R²) were 0.41, 0.41, and 0.40 for RVI, NDVI, and ARVI, respectively. All indices showed that the distribution of AGB data was not the best fit with the linear regression model. Therefore, non-linear exponential and power models were considered the best fit for NDVI, RVI, and ARVI. A biomass map was developed from RVI for both natural forests and plantation because RVI has the highest R² and lowest P-value.

The study’s main objective is to determine the predisposition and challenges of agriculture to provide environmental public goods to society in areas particularly facing natural or other specific constraints (ANCs) established within their current delimitation in Poland. Its organisational features, economic situation, and the degree of interest in measures specifically serving the protection of the natural environment under the Common Agriculture Policy (CAP) EU were indicated. Statistically significant factors determined farmers’ willingness to participate in these measures. It turned out that farms from ANCs communes with particularly difficult conditions significantly contribute to the total production potential of agriculture in Poland. However, compared to farms with better natural conditions, they are characterised by a lower income per 1 ha of utilised agriculture area (UAA) and a higher share of subsidies, including those for participation in environmental measures, which were implemented to a greater extent. Based on the logistic regression model, it was found that in ANCs communes with particularly difficult conditions, the most important factor of farmers’ greater willingness to implement environmental measures was their higher level of education. On the other hand, this inclination was negatively affected by the higher income adjusted for operating subsidies per 1 ha of UAA.

Glyoxal oxidase (GLOX, EC 1.2.3.15) is a class of hydrogen peroxide synthases involved in lignin degradation. Several GLOX genes of biotrophic and necrotrophic phytopathogenic fungi have been confirmed to contribute to fungal growth, development, and pathogenicity. However, the composition, sequence characteristics and functions of genes in the GLOX family of hemi-biotrophic phytopathogenic fungi remain poorly understood. This study identified a GLOX-encoding gene CsGLOX in the hemi-biotrophic phytopathogenic fungus Colletotrichum siamense by bioinformatics analysis and PCR cloning. The encoded protein contains a signal peptide and five cell wall stress-responsive component (WSC) domains at the N terminus, followed by a catalytic structural domain (AA5_1). CsGLOX-deficient mutants were constructed by homologous replacement, which significantly increased the formation of conidia and reduced the pathogenicity and the high-osmotic stress tolerance of the fungus. However, the deletions did not influence fungal filamentous growth. This study proposes that the CsGLOX gene is involved in pathogen conidial formation, pathogenicity, and osmotic stress response, which deepens our understanding of the pathogenic mechanism of hemi-biotrophic phytopathogenic fungus C. siamense.

The effect of drip irrigation on the origin and size fraction of soil organic carbon was studied in the soils of an apple orchard (Malus domestica Borkh.) on hilly (20%) terrain in northeastern Slovenia in three slope positions (upslope, midslope and downslope), comparing irrigated with non-irrigated soils. Physical fractionation of soil organic carbon was performed on three soil layers (0–0.05, 0.05–0.15 and 0.15–0.30 m) in three size fractions: fraction A (> 0.0002 m), fraction B (0.0002‒0.00005 m) and fraction C (< 0.00005 m). Fraction A was the richest in soil organic carbon (7.7%), but fraction C was the dominant fraction in the total soil volume (86‒92%), making it the largest source of soil organic carbon (73%). The δ¹³C signature was performed to determine the existence of two different types (origins) of soil organic carbon: fresh and sedimentary. Fresh organic carbon dominates in the A fraction, while sedimentary organic carbon dominates in the C fraction and may contribute to higher structural stability, besides higher carbonates in the finest fraction. Irrigation mainly contributes to the higher stock of soil organic carbon (predominantly fresh and less sedimentary) in the coarse A fraction (21.14 t/ha in irrigated and 14.17 t/ha in non-irrigated soils).

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.

Research was conducted to determine the content of total polyphenols (TP) in table potato tubers obtained in a three-year field experiment arranged as a split-plot design with three replicates. The first experimental factor included two potato cultivars: Oberon and Malaga, the second one being an application of the following biostimulants: PlonoStart, Aminoplant, Agro-Sorb Folium and the herbicide Avatar 293 ZC (clomazone + metribuzin). The polyphenol content of potato tubers was determined in the fresh tuber mass by the spectrophotometric method with the Folin-Ciocalteu reagent. The tuber content of polyphenols was affected by cultivars and test biostimulants. Cv. Malaga accumulated more polyphenols than cv. Oberon. Biostimulants + herbicide significantly increased an accumulation of polyphenolic compounds compared with tubers cultivated in the control unit which was not treated with the test products.

Indications for implant removal after fracture healing are still under debate in both human and veterinary medicine. Although hardware removal is a common procedure, it should not be undertaken lightly. Intra and post-operative complications are common and a thorough evaluation of the risks and benefits should be performed. This review aimed to collect and summarise published data on the indications for implant removal in small animals, compare the collected data with human and equine medicine, and investigate the existence of guidelines for this purpose. There is no international consensual agreement for implant removal after fracture healing, neither in small animals nor in human orthopaedics. Decision-making processes are still controversial in some scenarios, thus clear evidence-based protocols for implant removal are needed.

This study aimed to investigate the variations in nutritional composition among different breeds of cattle in Guizhou. Specifically, this study selected Guanling, Weining, Sinan, Wuchuan, and Simmental cattle as experimental subjects. Assessing the nutritional quality of the longissimus dorsi muscle involves evaluating various parameters, including ultimate pH (pHu), meat colour, water-holding capacity, shear force, protein and fat content, levels of organic acids and amino acid composition. The study's findings indicated notable variations among the muscles of different cattle breeds tested. Guanling, Wuchuan, and Simmental cattle exhibited the highest water-holding capacity, while Wuchuan cattle displayed the highest shear forces. Guanling cattle and Simmental cattle had the highest levels of protein and fat. Weining cattle and Simmental cattle demonstrated the highest concentrations of lactic acid and oxalic acid. Guanling cattle exhibited the highest total amino acid and essential amino acid content. Moreover, Guanling cattle and Weining cattle showed the highest lightness (L*) and yellowness (b*) values, indicating lighter meat colour, while Weining cattle had the highest redness (a*) value, indicating redder meat colour. No significant differences among the five cattle breeds were observed in pHu and propionic acid content. These results provide a theoretical basis and serve as a data reference for assessing the suitability of different beef varieties for various processing purposes.

The aim of this study was to improve the understanding of the contribution of components typically found in milk, but which are not often included in analyses, to the nutritional status of dairy cows. This was undertaken by analysing the amount and composition of milk produced by Simmental dairy cows, a dual-purpose breed farmed in the Czech Republic. Apart from the more frequently analysed group of components in milk, a less frequently analysed group of components were also investigated. This group, typically, consists of the following components: urea, casein, citric acid, beta hydroxy butyrate (BHB) ketones and free fatty acids. The average content of urea, casein and citric acid in milk is 25.75 mg/100 ml, 2.96%, 0.15%, respectively. The influence of environmental factors on these indicators was evaluated, as well as the degree of hereditary establishment. These less frequently analysed components (indicators), as well as the more frequently analysed components of milk, are subject to several external influences, especially the influence of the breeder, the year and the season of calving. The content of these components varied significantly statistically during the lactation period and also in the order of lactation. The influence of a cow’s individuality and the degree of additive genetic background are evident, with estimated heritability coefficients ranging from 0.04 for the BHB ketone content to higher values, e.g., 0.28 for citric acid or 0.31 for the lactose content in milk. The relationships between the components of milk and the daily milk yield were also evaluated, and statistically significant negative correlations were found between the content of casein and the daily milk yield (–0.47) and between the lactose content and the number of somatic cells (–0.37).

Herbivorous ungulate diets affect population performance and overall forest health through balanced interactions on plant-herbivore relations; therefore, understanding them is critical. Faeces are frequently used in ungulate nutritional ecology because they can provide information about animals’ digestive efficiency. Roe deer (Capreolus capreolus) and red deer (Cervus elaphus) have different morpho-physiological and ecological constraints, and these differences should be reflected in their faeces. On the other hand, the lack of information about the animal (sex, age, reproductive status, diet selection, etc.) may be challenging for such studies. This study aimed to detect species’ different susceptibility to these factors reflected in animals’ faeces. Thus, we hypothesised that near-infrared reflectance spectrometry (NIRS) could distinguish between the faecal nutrients of two cervids. We collected 94 usable faeces from both species along the forest transect in Bohemian forests in the Czech Republic, covering 2 500 ha. Roe and red deer overlap was determined using the four faecal nutritional components on two axes. No discrimination occurred, refuting our hypothesis and highlighting that out-of-control variables are critical for faecal studies in uncontrolled settings. Fibrous parts explained the most variance (48%), indicating animals’ strong reliance on nutrition quality. Apparently, uncontrolled supplementary feeding produced similar faecal nutrient outcomes during the nutrition-limiting winter, which was theoretically supported by the animal’s response to predation and hunting pressure. The inability of NIRS to identify the source of N in faeces may also explain the lack of discrimination.

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

A traditional Czech bakery white bread product is commonly made with directly mixed dough with the addition of yeast. In order to be able to reduce the salt content of the final product without compromising its acceptability to consumers, the dough was prepared with the addition of pre-ferments and wheat sourdoughs. The aim was to deepen the flavour background of the product and thus have a positive effect on its sensory properties. Wheat sourdoughs were prepared and tested using starter cultures and matured under different conditions. The resulting products were tested both sensorially and by means of precise physical methods.

Construction sector has high environmental impact throughout entire life cycle of buildings. One way to reduce the impact is to use building materials with the lowest possible environmental impact – such as wood. The use of wood-based building materials can improve the overall environmental balance of buildings. Compared to other materials, wood probably has the best environmental performance. These findings are particularly significant in the context of the environmental and legislative situation in Europe and the Czech Republic and may be one of the reasons for the increasing number of new wood-based buildings. The main reason for the research is to highlight the potential of wood as an ecological renewable material with multiple applications in all sectors of the national economy, especially in the construction industry. This paper aims to deepen the knowledge of the environmental specifications of building materials, especially wood, highlight its benefits and verify that building with natural and eco-friendly materials is less costly with lower environmental impacts. To illustrate the environmental impact of the construction industry, a case study comparing house variants was conducted to find the most suitable combinations of materials in terms of economic, environmental, and social aspects. It was found that from a sustainable development perspective, building with green materials generally means lower environmental impacts measured by e.g. global warming potential and embodied energy. This is particularly evident in the case of wood, which is not only a renewable material with advantageous thermo-technical and construction properties despite its low weight, but also stores carbon as it grows. The findings show that wood in the structure can reduce the cumulative environmental impact of the whole structure.

To better explore the effects of adding phytosterol (PS) microcapsules to feed on pig growth performance, nutrient apparent digestibility, and serum biochemical indicators, 200 healthy ternary hybrid Duroc × Landrace × Yorkshire piglets with an average initial weight of 7.53 ± 0.57 kg) were used as experimental subjects, and randomly divided into five groups with four replicates in each group. The control group of pigs was fed the basic diet, while the experimental group received diets supplemented with different PS levels. They were divided into experimental groups 1 to 4 (100 mg/kg to 5 502 mg/kg) according to different dosage added components. The duration of the experiment was 54 days. The results showed that the total triglyceride (TG) index and diarrhoea status in the experimental group were significantly improved compared to the control group (P < 0.05). The increase in PS addition levels was more significant in the change of pig average daily gain (ADG) (P < 0.05), and the difference in average daily weight gain and feed conversion ratio between PS-400 and PS-550 was significant (P < 0.05). Compared with the control group, the experimental group showed significant differences in crude fibre (CF), ether extract (EE), dry matter (DM), organic matter (OM), average digestible energy (ADE), metabolizable energy, xylan, and calcium (P < 0.05), with a maximum increase of 7.02% in calcium content. The addition of PS can be effective in making the experimental and control groups show a significant difference in value changes in high-density cholesterol (HDL-C) and low-density cholesterol (LDL-C) indicators (P < 0.05), while no significant changes were revealed in the other indicators (P > 0.05). From the above, plant sterol microcapsules can effectively improve pig growth performance and nutrient apparent digestibility, and improve their blood lipid status.

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.

Poplar species such as aspen (Populus tremula L.) play a very important role in the forest formation process not only in Eastern European regions. Unfortunately, such aspen stands are often severely affected by fungal diseases, causing mainly core rot. In this study, the indirect effects of thinning on the phytosanitary condition of aspen by promotion of tree growth were investigated. Two thinning methods, manual (thinning from below) and mechanical thinning (schematic), were applied to young stands dominated by Eurasian aspen to study their effects on tree growth and health. All trees were measured at breast height and diameter frequency distribution was determined twice, i.e. three and 24 years after the beginning of the experiment. In addition, during the second measurement, tree-ring samples were obtained from individual trees to evaluate growth and wood decay damage. Neither manual nor mechanical thinning of aspen significantly increased its growth at the stand level, but positive effects on individual trees were observed in plots where mechanical thinning was applied. The thicker the trees, the less decayed they were. The analysis suggests that thinning in general should not be used to increase stand production, but the positive effects of mechanical thinning on individual aspens can be recommended to promote the growth of individual vigorous trees.

Companies must provide economic, environmental and social added value based on innovation strategies, design and creative thinking in a globalised and competitive world characterised by rapid change and constantly evolving technologies. In this context, this paper analyses the role of design practice in companies in the agri-food sector (i.e. what is the design component present like; what are its relevance and importance?) An exploratory, descriptive study was conducted with 30 companies in southeast (SE) Spain’s fruit/vegetable sector. The findings reveal that all the surveyed companies make financial investments in design and positively value this (7.6 out of 10), which indicates they recognise its strategic and operative importance. However, integration, training and design promotion in the agri-food sector remains somewhat limited. Most companies lack an in-house design department or design professionals as staff members and perform mainly design activities limited to the visual and communication tasks related to marketing initiatives. These results unveil opportunities for enhancing design incorporation and appreciation in the agri-food sector, which could boost its competitiveness and differentiation in the market. Finally, this study can be considered a starting point for future development in line with the horticultural sector’s theory, practice, and design management policies.

Marek’s disease (MD) is a huge problem for researchers due to the significant losses in bird flocks, but more importantly, the virus’s mutagenic potential. The purpose of this study was to describe non-classical gross lesions observed in broilers and laying hens that suggest the disease emergence and re-emergence. The survey was conducted on 10 broiler and 4 laying hen flocks. All of the dead birds were necropsied in order to obtain a comprehensive diagnosis of lesions, analysing both macroscopic and microscopic alterations. Marek’s disease occurred in 80% of cases in broilers and 100% of cases in layer hens. The disease struck 26-day-old broilers and hens at 2 weeks of age, causing a total mortality of 6% and 15%, respectively. There were no clinical indications of the classical neurological form of the disease in either rearing type, and tumour lesions were mostly detected in the liver, spleen, and ovarian follicles in layers, and in the proventriculus in broilers. These findings demonstrated that MD is widespread and that its resurgence is primarily manifested in visceral rather than neurological manifestations. Despite MD immunization, biosecurity remains critical.

The human population is highly dependent on electricity, and to maintain the current progress of its use and for future requirements, it is necessary to look for ways to ensure sufficient energy. The aim of the article is to compare nuclear energy as a representative of non-renewable energy sources with photovoltaic energy as a representative of renewable energy sources (RES). The comparison is made in terms of the effect on agricultural land occupation, given that soil as a basic production factor is completely unique and that nuclear energy sources are often used as a backup for RES. We used a quantitative research method based on deduction using available real data to compare agricultural land occupation by these two energy sources. The results indicate that the effect of photovoltaic power plants on agricultural land occupation is 100 times greater than that of nuclear power plants. In terms of the effect on agricultural land occupation, the combination of solar and nuclear power plants seems to be appropriate. This combination partially eliminates the negative agricultural land occupation consequence of using solar power plants.

Machine learning can handle an ever-increasing amount of data with the ability to learn models from the data. It has been widely used in a variety of disciplines and is gaining increasingly more attention nowadays. As it is challenging to map soil and hydrological information that are characterised with high spatial and temporal variability, applications of machine learning in soil science and hydrology (AMLSH) have become popularised. To better understand the current state of AMLSH research, a scientific and quantitative approach was performed to statistically analyse publication information from 1973 to 2021 archived in the Scopus database using scientometric analysis tools, including VOSviewer, CiteSpace, and the open-source R package “bibliometrix”. The results show a significant increase in the number of publications on AMLSH since 2006. The major contributions were identified based on country origins (China, the USA, and India), institutions (Hohai University, Islamic Azad University, and Wuhan University), and journals (Journal of Hydrology, Remote Sensing, and Geoderma). The keywords analysis of the AMLSH research demonstrates four research hotspots: neural network, artificial intelligence, machine learning, and soil. The most frequently utilised machine learning (ML) methods are neural networks, decision trees, random forests and other methods for image processing and predictive analysis. McBratney et al. 2003 is the most highly cited article. Our research sheds light on the research process on AMLSH and concludes with future research perspectives.

Camelina sativa can be identified as a promising oilseed crop due to its short growth cycle, tolerance to drought and frost, low-input requirements, resistance to pests and diseases, feed, and non-feed applications. Compared to other Brassicaceae family plants, camelina is mainly distinguished by high levels of n-3 polyunsaturated fatty acids and antioxidant content. However, camelina contains secondary plant metabolites, such as glucosinolates, phytic acid, sinapine, etc., and their presence limits the use of camelina by-products (oil, seed or cake) in poultry feeding. The breakdown of these compounds forms complexes that can inhibit digestive enzymes, reduce the absorption of nutrients, and ultimately modify product quality. The content of these anti-nutritional compounds and plant seed quality can be modified by various techniques: hybridisation, mutation induction, gene engineering, etc. Moreover, methods such as infrared irradiation, multi-enzyme and copper supplementation, etc., can counter or mitigate the effect of plant secondary metabolites present in camelina seed or cake. In general, dietary inclusion of camelina seed or cake at high inclusion levels (> 10%) worsened the nutrient digestibility and thus reduced growth performances. However, carcass traits and meat proximate composition were comparable in birds-fed diets containing camelina by-products. The fatty acid profile of meat cuts and abdominal fat was significantly higher in alpha-linolenic acid and lower n-6/n-3 ratio, thus promoting the healthiness of products for human consumption. Also, the dietary inclusion of camelina did not modify the sensory profile of the products. The present article is a comprehensive and critical review of research carried out to improve the quality of camelina and its by-products to be used in broiler poultry feeding. This review gives information on the feeding value of camelina by-products, as well as a survey of the literature on their use in poultry diets to evaluate digestibility, performance, carcass traits, and meat quality.

Forests are atmospheric CO₂ sinks, but their losses and degradation accelerate the emissions of carbon stored as a sink. Deforestation and forest degradation are widespread in Bangladesh, but their impact on greenhouse gas (GHG) emissions is unknown. We assess land use and land cover (LULC) change and forest loss in this study by classifying different Landsat satellite imagery with a focus on forest cover loss from 1989 to 2020. Tier 1 standards were used to estimate the carbon removal and emissions from a small-scale tropical forest. Over the last three decades, the forest area has decreased by 2.40%, 3.74% and 7.52%, respectively. The primary causes of forest loss are large-scale tea garden and homestead expansion, as well as increase in agricultural activities. Because of a reduction in the forest area, the annual gain of carbon in forest biomass has also decreased. Although overall carbon emission was a net gain for the Maulvibazar hill forest, it has decreased from 331.24 Gg·yr^–1 in the first decade (1989 to 2000) to 307.7 Gg·yr^–1 in the most recent decade (2011 to 2020), which is an alarming trend. As a result, this research will contribute to leaders’ commitment to “halt and reverse forest loss and land degradation by 2030” at the 26^th United Nations Climate Change Conference of the Parties (COP 26) in 2021 to improve carbon sequestration, combat climate change and conserve biodiversity.

The gliding arc cold plasma treatment of wheat seeds is an alternative to chemical seed dressing, but this treatment is not very effective. This study was focused on testing the addition of salt, water and nitrogenous compounds during plasma treatment to increase the efficiency of the plasma seed treatment. The additives were not supplied in the gaseous state, as usual, but in an aqueous solution by spraying under a plasma nozzle during the treatment. The phytosanitary effect of the plasma treatment was evaluated based on the germination of Tilletia caries spores from artificially infected seeds on water agar. The viability of the seeds, growth and yield characteristics of the plasma-treated seeds were evaluated in the laboratory, greenhouse and even in field experiments with the primary goal of reducing spore vitality. The germination of T. caries spores was mostly limited to the variant with the addition of water during plasma treatment, where spore germination reached only 32.7% of the control variant while maintaining sufficient growth properties. The experiment demonstrated the suitability of using the addition of various substances during plasma treatment in the form of aqueous solutions and increasing the effectiveness of this treatment.

Optimal soil nitrogen management is vital to crop production and environment protection. Little knowledge is available on crop yield, nitrogen uptake, use efficiency and balance in paddy rice-upland wheat cropping system of China. A thirty-five-year long-term field experiment was designed with nine treatments, including an unfertilized treatment (control), nitrogen (N), phosphorus (P), potassium (K) fertilizer, manure (M), and manure combined with mineral fertilizer treatments. Crop yield, N uptake, use efficiency, and N surplus or deficit amount were determined. The results indicated that rice, wheat yield and N uptake amount in the manure combined with mineral fertilizer treatments were higher than that in the manure alone or mineral fertilizer alone treatments. N use efficiency was the highest in the treatment with manure alone. Soil N input indicated a surplus in the mineral fertilizer in combination with manure treatment, but soil N input indicated a deficit in the control, NPK and M treatments. Considering crop yields, N use efficiency and N balance, recommended N application amount is almost 220 kg N/ha/year in the paddy rice-upland wheat cropping system. Taking into account labour and fertilizer sources, half mineral N and half organic N applications were recommended.

The aim of the study was to analyse the relationship between the somatic cell counts in the milk (the udder health status indicator) and the cow's fertility, taking the influence of the selected factors into account. The udder health status was determined based on the somatic cell count of the milk from 88 745 test-day records from 55 685 Polish Holstein-Friesian cows. The test-day measurements were made up to 30 days before the first insemination, during the period up to 180 days of the first and second lactation. Because the somatic cell count showed high variation and is not normally distributed, the data were transformed to the natural logarithm scale. Based on the results of the statistical analysis, it was shown that with the increase in the number of somatic cells in the milk, the calving intervals were extended by 11 days (P ≤ 0.01), the service period by around 4 days (P ≤ 0.05), the increase in the services per conception by 0.11 (P ≤ 0.01). There was a statistically significant correlation, weak on the Guilford scale, between the natural logarithm of the somatic cell count and the fertility of the cows: the calving interval - CI (r = 0.050**, P ≤ 0.01), service period - SP (r = 0.016**) end services per conception - SPC (r = 0.019**). Monitoring the number of somatic cells in the milk could contribute to improving the fertility of the cows in particular: in the second lactation in the double lactation (for the CI (r = 0.059**)); in herds with a production level of 7000-9000 kg of milk (for the CI (r = 0.055**), the SP (r = 0.022**) and the SPC (r = 0.024**)); the daily productivity of > 40 kg (for the CI (r = 0.052**), the SP (r = 0.033**) and the SPC (r = 0.029**)), the number of cows in the herd of > 200 (for the CI (r = 0.061**), the SP (r = 0.034**) and the SPC (r = 0.033**)), in the autumn season of the first insemination (for the CI (r = 0.072**), the SP (r = 0.027**) and the SPC (r = 0.031**)). The magnitude of these correlations varied within the classes of the factors such as the daily production level, the age of cows´ lactation number, the season of the first insemination, the herd production level, and the herd size. It appears that the somatic cell count results obtained from the periodic milk recording, considered as an indirect measure of the udder health and used when deciding on the mastitis treatment, could be a useful tool for controlling the fertility in the cows.

When analysing drivers affecting the farm performance, the presence of different technologies should be taken into account. We assume that the technology used by crop farms is not the same for all producers and therefore we use latent class model to identify technological classes at first. Class definition is based on multidimensional classification and determination of indices given by the values of individual components. The principal components analysis is applied to estimate significant and robust weights for the index components. FADN (Farm Accountancy Data Network) database, Czech crop farms data from 2005 to 2017 were used and three groups of technology classes of farms were identified with a determinant influence of the structure index and localisation. The other indices characterise sustainability, innovation, technology, diversification, and individual characteristics. Three distinct classes of crop farms were found, one major class and two minor classes. Family driven farms are usually smaller farms in terms of acreage. Highly sustainable crop farms are most likely located in lower altitudes and not in less-favoured areas. Innovative farms are also likely to be more productive. The results indicate that agricultural production farms with a more sustainable way of farming are most likely to be more productive.

To satisfy increasing food and nutrient supply requirements for our growing future human population, farmers and staple food producers carry vital responsibilities. Especially farmers with ruminant livestock like dairy cows transform otherwise for human consumption unsuitable fibre into highly nutritious milk and meat. Nevertheless, dairy farmers are challenged increasingly by the consequences of global warming. Economic risks like feed supply and volatile commodity prices need to be balanced, also taking into account the increasing environmental awareness of end-customers. Focusing just on emissions, dairy production is contributing an essential part of the total carbon footprint emitted by the agricultural sector. Since rumen degradability of feed was identified by the Food and Agriculture Organization of the United Nations as one of the most influential parameters in reducing the carbon footprint of dairy farming, the desire to exploit leverage potential for efficiency increases can be considered exceptionally high. Although the positive effects of improved feed, in other words, neutral detergent fibre rumen degradability forpageContainerHideShow('srchdetcjs-202005-0001', false);