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Forests in central Europe were affected by heavy bark beetle outbreak during the years 2014–2022. Decline of Norway spruce brought other species of forest trees, including the fir, to the fore. The nutritional level of silver fir is one of the studied topics. Needles in 14 Norway spruce (NS) – silver fir (SF) mixed forest stands from 4 regions in the Czech Republic have been sampled to survey their nutrition level. Nutrition of NS is often near or below the deficiency limit, while nutrition of SF was assessed as sufficient or good. Differences between both regions and tree species were found. SF drew more nutrients from the soil profile than NS on the same forest site. Differences between NS and SF in nutrient concentrations in needles were significant for N, Ca, Mg, Zn and S and non-significant for P and K.

The potential of the framework of precision agriculture points towards the emergence of site-specific weed control. In light of the phenomena, the search for a cost-effective approach can help the discipline to accelerate the practical implementation. The paper presents a near-infrared data-driven machine learning model for real-time weed detection in wide-row cultivated maize (Zea mays) fields. The basis of the model is a dataset of 5 120 objects including 18 species of weeds significant in the context of wide-row crop production in the Czech Republic. The custom model was subsequently compared with a state-of-the-art machine learning tool You only look once (version 3). The custom model achieved 94.5 % identification accuracy while highlighting the practical limitations of the dataset.

The aim of this study was to determine the effect of a granular poultry manure fertiliser on the yield and the quality of white cabbage (Brassica oleracea var. capitata), and to determine the effect on the soil agrochemical properties. The effect of the granular poultry manure fertiliser and mineral fertiliser (applied separately and combined at different times – in early spring and in autumn) on the cabbage yields was determined. Investigations were carried out in the fields of the Institute of Horticulture, the Lithuanian Research Centre for Agriculture and Forestry. The object of the research – white cabbage ‘Socrates’ H. The highest white cabbage marketable yield (80.5 t/ha) and the highest amount of vitamin C (7.80 mg per 100 g of products) was obtained by applying the granular poultry manure fertiliser in the autumn and the mineral fertiliser in the spring, where the granular poultry manure fertiliser applied in the early spring and the granular poultry manure fertiliser applied in the autumn with the mineral fertiliser applied in spring retained a higher content of humus (1.82–1.94%), organic carbon (1.06–1.12%) and total nitrogen (0.099–0.147%). The mineral nitrogen residue in the soil decreased when the cabbage was fertilised in the spring with the mineral fertiliser and when fertilised in the spring with the mineral fertiliser in combination with the granular poultry manure fertiliser by 8.1–10.8 kg/ha. The minimum content of nitrates in the heads of the white cabbage was found after using the granular poultry manure fertiliser in the autumn.

Weed control and replenishing soil moisture and fertility are important areas in fruit production. The number of studies focused to determine whether living mulches in tree rows can fulfil these tasks increases recently. In the paper the results of an 11-year experiment on the effect of two such mulches (Trifolium repens L. and Agrostis capillaris L.) on the growth, yield, and fruit quality of three pear cultivars (‘Alfa’, ‘Dolores’, ‘Amfora’) in relation to herbicide fallow are presented. In the experiment, a single sowing of covering plants without additional treatments was used. A statistically significant reduction in yield (20–22%) was found for both mulches used, which was related to weakening the vegetative growth of trees. The average fruit mass did not change significantly, but the percent share of large fruits increased significantly (about 17%) in the A. capillaris mulch. Fruits from trees growing in T. repens contained significantly more soluble solids and Ca. However, that mulch became heavily infested with weeds after a few years. The obtained results allow us to recommend the use of the living mulch A. capillaris in the tree rows of a commercial pear orchard. The ‘Dolores’ and ‘Amfora’ cvs are particularly recommended.

In the study, the effects of 0, 100, 200 and 400 ppm spray applications of GA3 on root and above-ground parts of ‘Jan Reus’, ‘Bloody Mary’ and ‘Yokohama’ tulip cultivars were determined. According to the results, on the development of plant upper part properties, 200 ppm in ‘Jan Reus’ and ‘Yokohama’ and 100 ppm in ‘Bloody Mary’ were the most effective applications. Again, the least increases in upper part properties were obtained from the control plants in ‘Jan Reus’ and ‘Bloody Mary’, and from the 100 ppm application in ‘Yokohama’. While 100 ppm was the most effective application in ‘Jan Reus’ and ‘Yokohama’ in terms of root development, the effect of the applications in ‘Bloody Mary’ was lower than the control. The application that least increased root development was determined as 400 ppm in ‘Jan Reus’ and 200 ppm in ‘Bloody Mary’ and ‘Yokohama’. Root growth was found to be negatively related to GA3 content. High GA3 is thought to negatively affect overall root growth, possibly by suppressing the effect of auxin. It is assumed that GA3 produced by the plant itself may be sufficient for root development or may be effective at much lower dose applications. On the other hand, it has been determined that the effects of GA3 application vary depending on the variety. According to these results, it is recommended to apply it at a dose of 200 ppm to ensure flowering by providing cooling in tulip cultivars and cut flower cultivation. High doses of GA3 are not recommended for root development.

Silver fir (Abies alba Mill.) is still counted among drought-tolerant tree species. However, its ability to cope with the recent extremely dry period has not yet been sufficiently studied. The objective of research was to analyse differences in the climate-growth response between silver fir, Norway spruce (Picea abies L. Karst.) and European larch (Larix decidua Mill.) growing in areas with large-scale disintegration of spruce stands. In 2019–2021, the increment cores were sampled at 16 sites along the altitudinal gradient of 340–775 m a.s.l. in different regions of the Czech Republic affected by bark beetle outbreak. The radial growth pattern of fir was compared with that of spruce or larch growing under the same site conditions. In fir, the missing rings were frequently recorded during the period of peak SO₂ pollution load in 1966–1985, but they were rarely identified in recent years. In spruce and larch, missing rings were less common and occurred mainly in the recent dry period after 2015. Fir was less sensitive to summer drought compared to larch and especially to spruce, which showed high sensitivity to summer drought regardless of the altitude. The significant positive response of fir to summer precipitation was recorded at sites up to 450 m a.s.l., however, its sensitivity to drought has increased in the last two decades. Hence, when considering the wider use of fir, it is necessary to respect its ecological requirements as much as possible in order to preserve its vitality and production potential in changing climatic conditions.

Industrial air pollution, particularly cement dust, affects the leaf water status and resource utilisation and finally decreases primary production. Evaluating the relative water content (RWC), leaf mass per unit area (LMA), specific leaf area (SLA), and leaf water per unit area (LWA) helps selecting more tolerant species for dusty polluted areas. In this study, we compare two species of Quercus castaneifolia C.A.Mey and Carpinus betulus L. in a polluted site (PL) around a cement factory, and a unpolluted site (UPL) in Mazandaran province, Northern Iran. Ten individual trees of each species were tagged at each site, and twenty fully developed leaves were collected for further analysis and calculation. Based on the results, RWC and LWA were significantly lower in the PL site (61.0% and 0.0075 g·cm^–2, respectively) compared to the UPL site (71.1% and 0.0114 g·cm^–2, respectively) for Q. castaneifolia. However, no significant differences were observed in selected variables between PL and UPL sites for C. betulus. Among the studied variables, SLA was significantly higher in C. betulus (259.1 cm²·g^–1) compared to Q. castaneifolia (189.8 cm²·g^–1). Our results indicated that C. betulus responds better to dust pollution in terms of leaf water variables.

A 5-year-old intact female Shih Tzu was presented with acute onset of hind leg paralysis. The neurologic examination revealed severe T3-L3 myelopathy. The differential diagnoses included degenerative, anomalous, traumatic, inflammatory, vascular, metabolic, and neoplastic changes. The results of the paraclinical examinations and diagnostic imaging narrowed the list of differential diagnoses and, along with the patient’s deteriorating condition, led to the owner’s decision to euthanise the dog. The histologic findings of the spinal cord specimens indicated a tumour of the blood vessels formed by the proliferation of endothelial cells, which may present as either capillary or cavernous structures. In this case, the tumour was a capillary-type haemangiosarcoma. The primary site of proliferation could not be determined in this case because no mass formation was noted while performing the necropsy.

Corporate social responsibility (CSR) is also implemented in agriculture, where larger agricultural holdings have a higher influence. We focused on them and situated our study to a country with a large average farm acreage – the Czech Republic. The aim of the paper is to assess to what extent large agricultural holdings perceive socially responsible behaviour as being important and how it is manifested in their relationship to the stakeholders and the behaviour in economic, social and environmental areas using Carroll’s pyramid and concept of 3 ‘P’. It is also examined if the higher perception of CSR influences the assets. Firms were grouped according to the perceived CSR by a cluster analysis. The highest economic responsibility in cluster 1 corresponded to the relatively high value of the assets, but the highest was in cluster 2 and 3 with important legal and ethical responsibilities. Cluster 4 had the lowest CSR, the same as the value of the assets, but further investigation is needed. The most important stakeholders were the owners and employees, but also the range of activities was provided for the locals. CSR and the importance of the stakeholders in large Czech agricultural holdings were highly perceived, especially on an economic level and in the social area.

The main research objective of this study is to present the dynamics of land productivity changes in EU agriculture in the years 2012–2020 and evaluate the influence of direct subsidies received by farmers on land productivity. The source data for 2012–2020 are secondary and come from Eurostat. The research results were prepared for the entire European Union (EU-28), and divided into ‘old’ countries (EU-15) and ‘new’ countries (EU-13). The results were developed using the method of assessing convergence (in terms of differences in land productivity in individual countries) using the coefficient of variation and the relative index of changes in individual Member States in relation to the EU average over the period under study. Results showed that between 2012 and 2020, average land productivity in the EU increased by 7%. At the same time, differences in land productivity between EU countries decreased. The correlation analysis confirmed a statistically significant relationship between land productivity and the amount of direct payments per ha of agricultural land. Additionally, results of the correlation between productivity per 1 ha and the total area of agricultural land in EU countries confirmed the law of decreasing marginal productivity of land.

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

Precision agriculture is increasingly relying on tractor auto-steer systems to boost productivity and optimize crop inputs. Identifying field variations and performance, on the other hand, is necessary for giving site-specific recommendations. This study reports the field operating performance indicators of manual (MG), semi-automatic (SG), and automatic (AG) tractor guidance for weed control in wheat production in Southern Italy. Performance indicators include effective worked area, overall working time, effective field capacity, field efficiency, fuel consumption, and product usage. The SG tractor guidance working times were similar to the MG, but with significant savings in the herbicide spray solution and work quality. In terms of all parameters examined, the AG outperformed the SG and MG. The AG was 54% faster than the MG, resulting in an increased area worked and effective field capacity of 5 and 46%, respectively. The total time (effective time plus non-productive time) was reduced by 28%, while overlapped areas by 88.9%. Herbicide and fuel input was reduced by 30 and 11.5%, respectively. A streamlined environmental analysis indicated that AG could reduce the energy and carbon intensity of the one-time weed control process by 25 and 27% for each hectare. Our results confirm that auto guidance provides numerous benefits (e.g., machining uniformity, increased work quality, reduced resource use, and reduced environmental burdens), supporting the larger goal of agricultural production sustainability.

The widespread application of Internet technology in rural development has significantly facilitated the modernisation of agriculture and profoundly and positively impacts sustainable rural development. This study empirically investigates the effect of Internet access on farmers‘ participation in farmer professional cooperatives based on a sample of 3 349 participants from the 2020 China Rural Revitalization Survey (CRRS), using both probit regression and instrumental variable probit (Ivprobit) regression models. The results indicate that, firstly, Internet access significantly enhances farmers‘ participation in farmer professional cooperatives. Secondly, Internet access influences farmers' decisions to join professional cooperatives differently, with older farmers, those with less education, and non-cadre individuals being more significantly affected in their willingness to participate. The findings deepen the understanding of the relationship between digital technology and organisational participation in rural development and provide empirical evidence for formulating more targeted rural development policies.

Policy constraints and market incentives have made it an important foundation for developing countries such as China to develop agricultural green transition policies. This study employed the panel data of 31 provinces in China from 2003 to 2022 and the three-dimensional framework of ‘institutions, technology, and marketisation’ to probe whether environmental regulation constraints or expected economic revenue incentives play a critical role in China’s current agriculture development. Whether the green transition of agriculture depends on environmental regulatory policy constraints and expected economic revenue incentives is related to the level of agricultural technology development and market development. Technology and market play a positive role in the agricultural green transition by enabling the realisation of agricultural green production and the realisation of the agricultural green market.

This paper investigates the effect of rootstock (Gisela 6, PiKu 1 and SL 64) on the total phenol content, total anthocyanin content, the content of the individual phenols and the antioxidant activity in fruits of two sweet cherry cultivars, ‘Kordia’ and ‘Regina’. The total phenolic content determined by the spectrophotometric method using Folin-Ciocalteu reagent varied from 34.84 to 149.28 to mg GAE/100 g FW depending on the cultivar/rootstock combination. The concentration of total anthocyanins was determined by using the pH-differential method and it ranged from 0.46 to 11.54 mg CGE/100 g FW. Highest level of the total phenolic content and concentration of the total anthocyanins content was detected in the cultivar ‘Regina’ grafted onto the Gisela 6 rootstock. Neochlorogenic acid, catechin, chlorogenic acid and quercetine-3-O-glucoside were detected using HPLC method. Significant variation of detected individual polyphenols in sweet cherry fruits grafted on different rootstocks was observed. The lowest content of individual polyphenols was measured in ‘Regina’ cultivar grafted on the SL 64. Ferric reducing antioxidant power assay indicated that all investigated fruits possessed similar antioxidant activity. There was a statistically significant correlation observed between the total phenolic content and antioxidant activity (correlation coefficient 0.972, P-value below 0.01), as well as between the anthocyanins and antioxidant activity (correlation coefficient 0.855, P-value below 0.01).

Wind erosion represents a locally significant soil degradation process in the Czech Republic, particularly in intensively farmed lowland regions. While areas susceptible to wind erosion have been previously identified, spatially explicit quantification of potential soil loss expressed in t/ha per year at the national scale has so far been lacking. This study presents a comprehensive assessment of potential wind-driven soil loss across the Czech Republic using the Wind Erosion Equation (WEQ). Special attention is given to the soil erodibility index (I), which was derived from extensive laboratory analyses of soil aggregates and evaluated using multiple statistical representations (Q₂₅, median, mean, Q₇₅, and Q₉₀). The resulting variants were used to quantify the sensitivity of modelled soil loss to erodibility assumptions and to compare exceedance of national (9 t/ha per year) and European (2 t/ha per year) reference limits. Results show substantial spatial variability in index I and associated soil loss estimates. Using the recommended median-based variant, approximately 10% of agricultural land exceeds the European reference limit, while only 0.8% exceeds the national threshold. Higher quantile scenarios (Q₇₅ and Q₉₀) identify erosion hotspots in dry lowland regions and are suitable for preventive planning. The presented outputs provide the first spatially consistent national framework for assessing potential wind erosion losses in the Czech Republic.

In order to remove soil tetracycline residue and identify the effect of tetracycline on soil nematode community, agricultural waste returning was applied in a maize monocropping field, northeast China. The results showed that plant parasites were the dominant genera in high concentration of soil tetracycline; however, bacterivores were the dominant genera in all organic matter amendments. Maturity index, structure index and enrichment index showed the highest values in biochar and compost mixed amendments and these treatments had the highest tetracycline removal rate and the highest concentration of macro-aggregates, total organic C and available N, followed by biochar seperate amendments. Overall, biochar and compost mixed amendments efficiently reduced the risk of soil tetracycline pollution below the threshold, with the characteristics of cheap, improving soil fertility and above all, environmentally friendly.

Riparian vegetation plays a major role in maintaining biodiversity and reducing the negative impact of nutrient leaching into aquatic ecosystems. However, the knowledge on the interactions between riparian vegetation and other environmental factors is still incomplete for planning sustainable riparian forest management. The aim of this study was to explore interactions between riparian forest ecosystem components along a small stream. Interactions between vegetation structure, chemical composition of soil and groundwater, as well as chemical element flows via litterfall and precipitation were studied in seven 50 m long transects located in the riparian forest of different characteristics along a 1.4 km river section in the northern part of Latvia. Our results showed that throughfall input of total nitrogen (TN) and potassium (K) was higher in transects with predominantly deciduous tree stands, but the concentration of TN in forest floor was higher in coniferous tree stands. At some soil layers, a positive correlation between organic soil carbon (OC) and the concentration of TN in groundwater was detected. The concentration of TN and nitrate-nitrogen (N-NO₃^–) in groundwater correlated positively with the deciduous tree basal area. The obtained results suggested that element flows are strongly dependent on tree species' composition and a comparatively small riparian area is able to provide diverse ecological conditions.

Soil phosphorus plays an important role in the soil ecological environment and sustainable development of the fruit industry in the soil hilly region of southern China, but the impact of different mulching measures on soil available phosphorus and phosphorus fractions in orchards remains unclear. In this study, soil basic physicochemical properties, available phosphorus, inorganic phosphorus fractions and their interrelationships under natural grass cover (NG), film mulch (FM) and clean tillage (CK) in orchards were explored. Compared to CK treatment, both FM and NG treatments have been shown to increase the contents of soil organic carbon (SOC), total nitrogen (TN), and available nitrogen (AN). Additionally, compared with the FM treatment, the NG treatment increased total phosphorus (TP), total potassium (TK), available potassium (AK), and soil acid phosphatase (S-ACP), resulting in greater improvements in soil fertility. The NG treatment increased the contents of aluminium-bound phosphate (Al-P) and iron-bound phosphate (Fe-P) in the 0–40 cm soil layer, whereas the FM treatment decreased the contents of Fe-P and Al-P and increased the content of occluded phosphate (O-P). Compared with the CK treatment, the NG treatment significantly increased the available phosphorus in the 0–40 cm soil layer, whereas the FM treatment significantly decreased it. Redundancy analysis revealed that pH and S-ACP were the main factors affecting soil phosphorus components. Al-P, Fe-P, and S-ACP were the three factors with the highest correlations with available phosphorus. However, according to multiple stepwise analyses, only Al-P was directly related to available phosphorus. Overall, in the southeast hilly orchards, the NG treatment improved soil nutrient and enzyme activity and is considered an effective strategy to increase the biological effectiveness of phosphorus while reducing leaching losses.

In addition to their practical importance as a medicinal plant, animal feed and a source of materials for the textile and construction industry, industrial varieties of Cannabis sativa L. (hemp in a wider sense) provide an alternative for controlling infectious diseases in livestock. Despite the genetic divergence between two primary groups of cannabis, i.e. medicinal cannabis and technical hemp, hemp plants also produce a wide spectrum of secondary metabolites. These include the main classes of cannabinoids and terpenoids, as well as representatives of flavonoids, stilbenoids, steroids, alkaloids, spiroindans, dihydrophenanthrenes, and lignanamides. Many of them exhibit antibiotic activity which can substitute or complement the use of traditional antibiotics in animal husbandry. For example, the cannabinoid fraction exhibits activity against the Gram-positive bacteria and some fungi. While the activity against Gram-negative bacteria is not characteristic of cannabinoids, these pathogens can still be affected by hemp terpenoids and flavonoids. The synergy among the secondary metabolite fractions or between the hemp metabolites and traditional antibiotics is also a favourable factor. The search for alternatives to traditional antibiotics is further driven by the increasing prevalence of genetically determined antibiotic resistance among veterinary pathogens, which poses the additional risk of transferring resistance traits to the human pathogens. The content of antibiotically active compounds in hemp can be enhanced through selection among existing genotypes, targeted breeding, cultivation conditions, and even by specific elicitation of secondary metabolites with the natural antibiotic function in the disease resistance of the plant. The switch to hemp metabolites is also supported by their compatibility as natural components of plant-based animal feed, and by favourable economic considerations.

Alpine meadows, one of the most widespread and important vegetation types on the Qinghai-Tibet Plateau, are facing severe degradation. This study examines how degradation affects soil medium and trace elements in the eastern Qinghai-Tibet Plateau, along with their relationships with plant traits and soil properties. Results indicate that alpine meadow degradation significantly reduces vegetation coverage, height, biomass, soil water content (SWC), and the levels of soil organic carbon (SOC), nitrogen (N), and phosphorus (P), while increasing soil bulk density (BD), pH, and potassium (K) content. Soil Ca, Zn, and Mo decrease with degradation, whereas Mg, Fe, Mn, Cu, Ni, and Co increase, with Ca, Fe, and Mn showing the strongest changes. Correlation and redundancy analyses indicate that aboveground biomass, SWC, SOC, N, and P positively correlate with Ca, Mo, and Zn, while pH, BD, and K associate with Mn, Fe, Ni, Co, Mg, and Cu. Therefore, alpine meadow degradation significantly influences the distribution of certain soil physicochemical properties and medium and trace elements in the eastern Qinghai-Tibet Plateau. Meanwhile, these medium and trace elements are also affected by specific soil physicochemical properties. Future grassland restoration should consider not only macronutrients and basic soil properties but also key elements like Ca, Fe, and Mn. This study provides foundational data for the ecological restoration of degraded alpine meadows.

Hemp is becoming increasingly popular, and many new varieties are coming onto the market to meet the requirements of different industries. In this study, the seed and stem yield, seed nutritional properties and the biochemical characteristics of the inflorescences of seven European varieties (Fedora 17, Futura 75, KC Dóra, Monoica, Santhica 27, Tiborszallasi, USO 31) were investigated in a 3-year field trial. Futura 75 and Tiborszallasi stand out as varieties with the highest potential in the conditions of the experiment (humid continental climate with oceanic influences, heavy soil). Futura 75 achieved the highest seed yield (505 kg/ha dry matter), stem yield (8 036 kg/ha fresh matter), protein yield (140 kg/ha) and oil yield (181 kg/ha). There were no differences in protein content (average 21.0%) among varieties. The total unsaturated fatty acid content was as high as 87.6% at Tiborszallasi. The best ratio between omega-6 and omega-3 fatty acids was 3 : 1 in Tiborszallasi, which had also the highest oil content (30.2%), the highest total phenolic content (2.8 mg caffeic acid (CA)/g) and the best antioxidant potential (6.69 EC50 DPPH (2,2-diphenyl-1-picrylhydrazyl) mg/L). Most varieties had higher cannabidiol and tetrahydrocannabinol contents in the inflorescence at seed maturity (from 0.22 to 3.3 for cannabidiol (CBD) and from 0.00 to 0.32 for tetrahydrocannabinol (THC)) compared to full flowering (from 0.17 to 4.33 for CBD and from 0.00 to 0.52 for THC, on average 2.64% for CBD and 0.19% for THC), presenting an opportunity for dual-purpose use.

Phytopathology deals with a branch of biology encompassing pathogens that infect plants. Pathogenic fungi, bacteria, viruses, viroids, and phytoplasmas are notorious and hard to control; preventive measures are important for managing disease as early as possible. Age-old management practices are time-consuming and labour-intensive processes. In the past, nucleic acid-based methods, such as hybridization, amplification, and sequencing, have been used extensively for the preliminary identification of plant pathogens. Recently, PCR-based methods have been widely used for the detection of plant pathogens. However, PCR methods are time-bound and require high-quality DNA extraction because of inhibitors' effects on PCR sensitivity. Several isothermal detection techniques are commonly used for the onsite detection of plant pathogens. Among them, loop-mediated isothermal amplification (LAMP) is a paradigm diagnostic tool for early plant pathogen detection. Hence, in this review, we discuss the rapid, reliable, sensitive method of the LAMP assay and the limit of detection (LOD) in different sectors of plant pathology. We also address the advantages and disadvantages of different LAMP approaches and future prospects.

Effective weed management relies on frequent field monitoring, which is difficult to perform in vast areas. Integrating red-green-blue, thermal, hyperspectral, and multispectral sensors with unmanned aircraft systems and artificial intelligence ensures better results in managing the weed menace. Since India depends largely on agriculture, it is still a long way from implementing more advanced weed management methods. Mapping and surveillance of weeds in croplands by employing remote sensing will lead to varied herbicide application rates, thus reducing its overuse. This study reviews the practical application of remote sensing methods and unmanned aircraft systems in weed mapping

A short-rotation coppice (SRC) system for bioenergy production is vital to supporting climate change mitigation by absorbing CO₂ from the atmosphere and storing carbon as biomass. However, SRC's operation also released some greenhouse gas emissions, affecting the environment. This study aims to assess the potential environmental impacts through the life cycle assessment method in bioenergy production from the SRC system. Data was collected through a literature review and database, and the impact categories were then analysed using Sphera LCA for Experts Education License software (Version 9.2.1.68, 2020). In managing plantations for bioenergy production, plants during one rotation (15 years) will be harvested every 3 years (harvesting cycle). Then, there will be five harvesting cycles during a single rotation. The result showed that the first cycle had the highest environmental impacts because the inputs (fuel, lubricant, electricity, fertiliser, and pesticides) in this cycle were higher than others. The highest contribution comes from the first and end cycles as 3 200 and 2 700 kg CO₂ eq, respectively. Meanwhile, cycles 2, 3, and 4 contribute to the carbon footprint as 2 500 kg CO₂ eq for each cycle. Based on input, fuel consumption has resulted in higher environmental impacts than lubricants, fertilisers, and electricity consumption. In conclusion, energy consumption (fuel, lubricant, and electricity) and agrochemicals (fertilisers and pesticides) have released emissions and affected the environment. In the future, fuel and agrochemical consumption should be reduced to minimise the negative environmental impacts in the short-rotation coppice system.

The genus Solanum comprises numerous wild and cultivated species that are important for potato breeding. This pilot-scale study aimed to evaluate the genetic diversity in 44 accessions from Solanum sect. Petota, comprising wild species, Andean landraces, and modern cultivars, obtained from the Potato Research Institute Havlíčkův Brod, Ltd. and the Department of Crop Sciences and Agroforestry at the Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague. Nuclear microsatellite markers (SSR, 29 loci) were applied via five multiplex PCR reactions and analysed using capillary electrophoresis. Binary data matrices were analysed using DARwin software to generate dendrograms reflecting allelic polymorphism. The SSR panel effectively differentiated cultivated accessions from wild types, consistent with the current taxonomy of the genus Solanum, with particularly clear clustering of Andean landraces and modern varieties. However, resolution among wild accessions was limited, likely due to their high genetic complexity and interspecific overlap. These results support the suitability of the SSR panel for analysing diversity in cultivated potatoes. while also highlighting the challenges in resolving wild Solanum taxa. This study contributes to germplasm characterisation and provides a molecular basis for future breeding programmes.

Assessing of genetic diversity is essential for identifying useful alleles for crop improvement. This study evaluated genetic diversity among two cassava breeding populations for total carotenoid content (TCC), dry matter content (DMC), and hydrogen cyanide (HCN) concentration using trait-linked single nucleotide polymorphism (SNP) markers. A total of 360 genotypes were analysed, including 261 from the IITA breeding programme (Population 1), 23 progenitor lines, and 76 from the University of Ibadan Cassava (UIC) breeding programme (Population 2). Minor allele frequency (MAF), gene diversity (GD), observed heterozygosity (H_e), and polymorphic information content (PIC) were computed. Principal component analysis (PCA) and hierarchical clustering were performed to examine genetic variation and population structure. Call rates were high (96–100%). MAF ranged from 0.00 to 0.50, with mean values of 0.28, 0.28, and 0.29 for Population 1, Population 2, and progenitors, respectively. GD averaged 0.36, 0.36, and 0.35 across these groups. Observed heterozygosity was 0.42, 0.41, and 0.43, while PIC values averaged 0.29, 0.27, and 0.27 for Population 1, Population 2, and progenitors, respectively. PCA and clustering analyses grouped the genotypes into three clusters containing 257, 88, and 15 genotypes. The first two principal components explained 39.1% of the total genetic variation. The results indicate substantial genetic diversity among the studied genotypes, suggesting strong potential for allele pyramiding and highlighting the informativeness of the SNP markers used.

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.

Global climate change (GCC) and increasing drought frequency pose a threat to the stability of European forests, particularly those of Norway spruce [Picea abies (L.) Karst.] plantations. We investigated how different pre-commercial thinning (PCT) intensities affect leaf area index (LAI) and its relationship to soil water content (SWC) in young spruce stands in northeastern Czechia. Three permanent research plots in a 13-year-old monoculture were subjected to mild PCT, heavy PCT, or left as an unthinned control in winter 2019/2020. Thinning caused an immediate decrease in LAI, with averages of 8.3 ± 1.1 m²·m^–2 (mild), 3.8 ± 0.5 m²·m^–2 (heavy) and 11.1 ±1.1 m²·m^–2 (control) in 2020. By 2023, LAI in the mildly thinned stand had largely converged with the control, whereas the heavily thinned stand maintained significantly lower LAI. The strongest relationship between LAI and SWC occurred in the heavily thinned plot (R² = 0.715 in 2021), while correlations were weak or transient in the mildly thinned and control plots. These results indicate that PCT intensity influences both the magnitude and duration of LAI reduction and is associated with differences in stand water dynamics. Appropriately adjusted thinning may therefore modestly affect water availability and could contribute to adaptive management of spruce forests under GCC.

A field experiment was conducted with potatoes to examine the effects of hydrogel application and weather conditions on total tuber yield and the content of potentially harmful compounds – glycoalkaloids and nitrates. The first experimental factor comprised three table cultivars: Lawenda, Rima and Provita. The second factor consisted of three treatments: the application of the hydrogel AgroNanoGel Basic at 60 and 90 kg/ha, and a control treatment without hydrogel. Statistical analysis demonstrated significant effects of cultivar, hydrogel application rates, and hydrothermal conditions in the study years on potato tuber yield. The highest yields were produced by cv. Lawenda, and the most favourable yield-forming effects were observed when the hydrogel had been applied at 90 kg/ha. The levels of antinutritional compounds were significantly affected by the experimental factors and weather conditions during the study years. Cv. Rima accumulated the lowest levels of glycoalkaloids, whereas cv. Lawenda contained the least nitrates (V). The hydrogel increased the content of both glycoalkaloids and nitrates relative to the control treatment, although their levels posed no risk to human health. Higher concentrations of antinutritional compounds were recorded in the dry and warm 2024 season than in the cooler and more humid 2025 season.