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The rise in demand for animal products associated with global population growth has driven the world toward precision livestock farming, where convolutional neural networks (CNN) have gained increasing attention due to their potential to enhance animal health, productivity, and welfare. However, the effectiveness and generalizability of CNN applications in cattle production are limited by several challenges and limitations, which require further research and development to address. This systematic literature review aims to provide a comprehensive overview of the applications of CNN in cattle production. It identified some potential applications of CNN in this field and highlighted the challenges and limitations that need to be addressed to improve the effectiveness and efficiency of CNN applications in cattle production. It also provides valuable insights for researchers, practitioners, and policymakers interested in the use of CNN to enhance cattle production practices, animal welfare, and sustainability. Additionally, it also provides the reader with a summary of the literature on the fundamental concepts of convolutional neural networks and their commonly used model architectures in cattle production. This is because agriculture digitalisation is going more multidisciplinary and people from different areas of expertise may find it helpful to learn more from a combined source.

In recent pasts, high priority has been placed on encouraging the implementation of various climate change adaptation techniques to adapt to the disastrous effects of climate change. Like in other countries affected by climate change, Nigerian farmers were also encouraged by governmental and non-governmental organisations to implement techniques for adapting to climate change impact. In this study, we use a psychological approach to investigate how a mix of socioeconomic and psycho-cognitive factors affect smallholder farmers' decisions about various climate change adaptation strategies and the consequent impact of the adoption of adaptation strategies on crop yield. Following the theory of planned behaviour (TPB), the adoption decision of farmers was modelled using the partial least squares structural equation modelling (PLS-SEM) and the ordered probit model. The impact of adopting adaptation strategies on productivity was evaluated using multinomial endogenous switching regression (MESR). The MESR helps to address endogeneity issues that might arise as a result of inconsistencies in the behavioural responses of the farmers. Our result indicates that psycho-cognitive factors like intentions and personal norms significantly predicted the number of climate change adaptation strategies the farmers ultimately embraced and implemented on their farms. We also found that the smallholder farmers' yield and income were most significantly impacted by the adoption of land restoration as a climate change adaptation strategy. The findings will assist in the design of more effective policy instruments to remove adoption hurdles as well as crafting tailored extension services that resonate with the realities of the farmer and thus help foster behavioural change.

Sulphur (S) plays an important role in agriculture, being the fourth major contributor to improved quality of crops and increased yields. The applied methods for the estimation of different forms of S in soil aimed at assessing the sulphur availability to plants in various conditions. Nowadays, the wider spreading of regions with sulphur deficiency imposes optimisation of the soil testing procedures in order to increase their availability for laboratories. This study contributes to improving the analytical performance of the turbidimetric method in determining water-soluble sulphate in soil after leaching with the CaCl₂ reagent. The modified testing protocol showed: method limit of quantification of 5.0 mg/kg; precision as relative standard deviation less than 3%; recovery of fortified soil samples 103 ± 18%. The expanded uncertainty was 2.3 mg/kg SO₄^2–-S (K = 2, norm.). The proposed testing protocol was inexpensive, fast, used simple equipment and procedures, easily adoptable in regular laboratories, and showed characteristics suitable for the estimation of water-soluble sulfate in arable soils. A set of 546 soil samples was tested, and 74% were found to be sulphur deficient with SO₄^2–-S < 10 mg/kg and sulfur availability index < 6.0. Thus, the availability of laboratory analysis to a broader group of farmers could contribute to effective fertilisation programs, as the newly proposed fertiliser blending technologies are based on adequate estimation of sulfur availability in arable soils.

Digitisation enables the integration of science, technology and finance, and this trend toward integration can in turn enhance the innovation efficiency of listed agricultural enterprises. By leveraging the quasi-natural experiment of China's 2011 pilot program for technology finance – also known as science, technology, and finance, this paper uses the difference-in-differences (DID) model to demonstrate that the science and technology finance policy positively impacts the innovation levels of agriculture-related listed enterprises. That said, the policy's effect varies across different regions and enterprise sizes. Furthermore, moderating-effect analysis reveals that the digitalisation level of agriculture-related listed enterprises is a critical factor, while the evolutionary game model elucidates this factor's underlying mechanism. Based on these findings, policy recommendations are proposed to further develop science and technology finance platforms for agricultural-related listed enterprises.

Lactoferrin (LF) is a multifunctional glycoprotein linked to udder health in dairy cows. This study aimed to develop a calibration model for LF quantification using mid-infrared spectrometry (MIR-FT), with ion-pair reversed-phase high-performance liquid chromatography (HPLC) as the reference method. Two sets of individual milk samples (A: n = 120; B: n = 91) were collected from five dairy farms in the Czech Republic. Set A included a higher proportion of samples with somatic cell count (SCC) above 300 000 cells/ml to ensure broad LF variability. After merging both sets and removing six outliers, a final calibration set C (n = 205) was created. The developed model achieved a cross-validated coefficient of determination of 0.588 7 and a standard error of cross-validation of 67.33 mg/l. Correlation analysis showed that several milk parameters correlated with LF determined by MIR-FT in patterns typical of mastitis (SCC: r = 0.450; lactose: r = –0.364; free fatty acids: r = 0.621; electrical conductivity: r = 0.442), indicating potential for MIR-FT in evaluating mammary gland health. The feasibility of using LF as an indicator of milk adulteration by artificial SCC reduction through centrifugation was also assessed. Two sample sets (n = 20 and n = 68) were analysed, each containing normal bulk tank milk and bulk tank milk supplemented with abnormal milk. Centrifugation caused minimal changes in LF determined by both HPLC and MIR-FT (maximum 3.27%) while SCC decreased by nearly 50%, suggesting that LF may serve as a marker for detecting artificial SCC reduction. However, practical application of MIR-FT for accurate LF determination is limited by the achieved validation parameters and the high expanded uncertainty (114.7 mg/l). The method is therefore more suitable for monitoring relative LF changes in milk than for determining exact LF content.

Thawed meat is usually of lower quality and less expensive than chilled meat, which some dishonest people may exploit by fraudulently marketing it as chilled. This study focused on methods for detecting and distinguishing frozen meat from chilled meat. The activity of the enzyme aconitase in the eluate was determined, and the mineral cations (Na⁺, K⁺, Mg²⁺) as well as the concentrations of organic acids (acetic, citric, and lactic) were analysed in chilled and thawed meat stored for 7, 14, and 150 days at −18 °C. After 150 days of storage, aconitase activity increased from 47.2 ± 7.2 U·L^–1 to 395.3 ± 59.2 U·L^–1 in pork, from 45.8 ± 11.5 U·L^–1 to 133.3 ± 31.8 U·L^–1 in beef, and from 17.2 ± 8.6 U·L^–1 to 143.6 ± 41.5 U·L^–1 in chicken. The mineral content decreased during storage in meat samples, especially Na⁺ and K⁺ cations (P < 0.05). The results for organic acids were less conclusive. Principal component analysis (PCA) of the data confirmed a clear separation between chilled and thawed meat for all species, with a high variability of nearly 72%.

Professor Antonín Stratil (1941–2025) was a respected animal geneticist whose six-decade career made lasting contributions to biochemical, molecular and genomic research, education, and service to the scientific community.

The objective of this study was to investigate the effect of papaya peel addition on the quality and in vitro ruminal digestion of napier grass silage. Fresh napier grass was mixed with papaya peel at 0% (control), 15%, 30%, and 45% of fresh weight and ensiled under anaerobic conditions. After fermentation, silages were analysed for pH, organic acids, ammonia-N, and nutrient composition. In vitro ruminal fermentation was conducted using the rumen fluid collected from buffaloes to assess gas production, volatile fatty acid profiles, and hydrogen release. The results showed that papaya peel addition significantly affected silage fermentation and nutrient composition. The inclusion at 15% lowered pH and increased lactic acid concentration compared with the control (P < 0.05). Higher inclusion levels (30% and 45%) reduced neutral detergent fibre and acid detergent fibre content, increased total digestible nutrients and relative feed value (P < 0.05). In vitro ruminal fermentation showed that, compared with the control, hydrogen production was significantly reduced in the 15% treatment, and the acetate-to-propionate ratio was highest in the 45% treatment as a result of decreased propionate acid concentration (P < 0.05). Our results suggested that co-ensiling napier grass with papaya peel improved fermentation quality and feed value, with 15% addition yielding the most desirable balance of fermentation characteristics and ruminal fermentation outcomes. This approach provides a practical strategy for enhancing the forage preservation and utilising fruit-processing by-products in tropical livestock systems.

Tomato is a major global crop, extensively cultivated in China. However, the molecular mechanisms underlying its responses to high-temperature stress remain poorly understood. This study investigates these mechanisms by examining a heat-resistant tomato variety, Hm 2-2 (R), and a heat-sensitive variety, BY 1-2 (S), under high temperature (40 °C). Total RNA was extracted from samples taken at 0 and 24 h post-treatment, followed by RNA-sequencing (RNA-seq). Differentially expressed genes (DEGs) were screened based on the criteria of |log₂ fold change| ≥ 2 and false discovery rate ≤ 0.05. Gene ontology (GO) function annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathway enrichment analysis were performed to explore the biological significance of these DEGs. The results revealed 6 038 upregulated and 2 866 downregulated DEGs in the R-0 (Hm 2-2 plants treated at 40 °C for 0 h) vs. R-24 (Hm 2-2 plants treated at 40 °C for 24 h) group and 5 297 upregulated and 3 920 downregulated DEGs in the S-0 (BY 1-2 plants treated at 40 °C for 0 h) vs. S-24 (BY 1-2 plants treated at 40 °C for 24 h) group, respectively. GO enrichment analysis indicated that the majority of DEGs were associated with biological processes, followed by cellular components and molecular functions. KEGG pathway analysis identified 130, 131, 89, and 115 regulatory (or altered) pathways in the R-0 vs. R-24, S-0 vs. S-24, S-0 vs. R-0, and S-24 vs. R-24 group comparisons, respectively. Notably, pathways related to protein processing in the endoplasmic reticulum and plant hormone signal transduction were significantly enriched, suggesting their critical roles in the tomato’s response to heat stress. Moreover, 156 transcription factors (TFs) implicated in heat stress response were identified, spanning various TF families such as MYB, AP2-EREBP, b-ZIP, bHLH, NAC, and WRKY. Quantitative RT-PCR analysis of 14 randomly selected DEGs validated the RNA-seq results confirming the reliability of the data. In summary, this study provides valuable insights into the molecular mechanisms of tomato’s responses to high-temperature stress, laying a crucial foundation for future research in this area.

The response of carabid beetles to extensive livestock farming and vegetation structure in two traditionally managed 'dehesa' ecosystems was investigated. From March 2011 to January 2012, sampling was done, using pitfall trapping, on two forestry farms located in the Sierra de Hornachuelos Natural Park (Córdoba, Spain), both with hunting use, but one of them also with a heavy livestock load. On each forestry farm, two sampling plots were selected according to the vegetation structure. Faunal differences were proved through the ecological indices, and the faunal uniqueness was checked by the Coldwell and Coddington Complementarity Analysis. To identify the most influential factor on the carabid biodiversity, a Generalised Linear Mixed Model (GLMM) was performed. Results show that abundance and richness are higher in the plots with open vegetation, similarly like the number of recorded tribes. Nevertheless, the ecological indices do not reflect any significant differences. The complementarity between different vegetation structures exceeds that of the exploitation types. In fact, the GLMM analysis indicated that the livestock itself does not have a significant effect on the fauna. In addition, all exclusive, rare or endemic species came from the closed vegetation plots, suggesting that these areas may act as a reservoir of unique species in terms of biodiversity.

The economic diversification of rural territories specialised in olive growing is key to the sustainability and resilience of these communities. In this context, olive oil tourism is presented as an innovative strategy to add value to the olive sector, attract visitors and promote public–private synergies. This study aims to determine the competitive advantages of olive oil tourism in the province of Jaén, Spain, using strategic analysis tools that align tourism resources with effective management strategies. Hence, in addition to a questionnaire completed by experts and a specialised literature review, we used the Quality Function Deployment (QFD) matrix, adapted to territorial analysis focused on tourism. This methodology correlates the territorial resources of olive oil tourism (TRs, the ‚what') with management specifications (MSs, the ‚how'). The analysis determines the relative importance of the TRs, the objective values and the technical importance of the MSs, and the direction of improvement. Furthermore, it includes an evaluation of competitiveness and estimates the technical-competitive positioning index. Nine TRs and eight MSs were identified and correlated, and Jaén's performance was compared to that of six other Spanish olive-growing provinces. Nine competitive advantages were identified, linked to five TRs (olive grove heritage landscape, tasting areas, exhibition centres, olive oil mills and greenways) and four MSs (olive mills, environmental education, diversification of supply and heritage promotion and innovation). This work proposes a useful tool to align resources and management, improve decision-making and move towards a more strategic governance in the olive oil tourism sector.

Soil salinity is a major environmental constraint that limits the growth and productivity of peanut (Arachis hypogaea L.), a legume adapted to mildly acidic soils but highly sensitive to saline–alkaline conditions. Dehydration-Responsive Element Binding (DREB) transcription factors are key regulators of plant responses to abiotic stresses. In this study, the AhDREB gene from peanut was introduced into tobacco (Nicotiana tabacum) to examine its functional role under salt stress. The transgenic lines (L32.2 and L37.2) exhibited strong induction of AhDREB expression upon exposure to 150 and 250 mM NaCl, with transcript levels increasing up to 2.34-fold compared with untreated controls (P < 0.001). Quantitative RT-PCR analysis revealed that AhDREB enhanced the transcription of two osmolyte-related genes, NtP5CS and NtSUSY. Under saline conditions, the expression of these genes was 1.20–1.89-fold higher in transgenic lines than in wild-type (WT) plants and 4.74–7.66-fold higher than in non-stress conditions (P < 0.001). Consistently, both lines accumulated greater amounts of proline and soluble sugars, showing 2.09–2.30-fold and 2.40–4.70-fold increases, respectively, compared with the WT. Relative to non-stress conditions, proline and sugar contents increased by 3.59–5.47 fold and 3.75–7.65-fold, respectively. Line L37.2 accumulated higher proline levels, whereas L32.2 exhibited greater sugar content, indicating distinct osmolyte regulation patterns. Overall, the AhDREB gene enhances salt tolerance in tobacco by transcriptionally activating osmolyte biosynthetic pathways and improving cellular osmotic adjustment, providing molecular evidence for its potential application in developing stress-tolerant peanut cultivars.

The experiment was done on 180 (2 × 90) Cherry Valley ducks that were fattened until 42 days of age with parity of females and males in the group. The aim of the study was to examine the effect of substituting dehulled lupin seed meal, Zulika variety, for soybean meal and its impact on the fatty acid content of breast and thigh muscle fat. Feeding lupin diets resulted in a significant (P ≤ 0.05) increase in monounsaturated fatty acids (MUFA) in Cherry Valley ducks, as well as significant (P ≤ 0.05) increase in polyunsaturated fatty acids n-3 (PUFA n-3) in breast and thigh muscle fat. There was no effect of the tested diets on PUFA n-6 content in muscle fat. The results confirm that lupin meal in the diet enhances the dietary value of Cherry Valley duck muscle due to the higher proportion of unsaturated fatty acids, with respect to the use of duck meat for human consumption.

Enhancing economic and environmental efficiency is a fundamental objective shared by all European economic sectors, with agriculture being a particular area of focus. In this study, economic and environmental efficiency are considered in parallel and compared in terms of their long-term development. From an economic perspective, the classical production factors of labour, capital and land are compared with economic production output. The environmental perspective of the study focuses on greenhouse gases and acidifying gases, with the investigation based on data from Eurostat from 2009 to 2020. Due to constraints regarding the  availability of data , the study encompassed 22 EU countries.  The findings indicate that Greece, Spain, the Netherlands and Poland demonstrate high levels of economic efficiency, while Ireland and Finland exhibit notable enhancements in this regard. Low economic efficiency scores are evident in Latvia and Austria, where substantial catching-up processes are observable. With respect to ecological efficiency, Greece, Spain and Italy have been found to be dominant, as have Finland, Sweden and Slovakia. Ireland, Luxembourg and Poland have lower ecological efficiency scores, but only Ireland shows signs of convergence. The present study seeks to minimise the impact of volatility and dispersion with a view to providing valid long-term trends for the purpose of benchmarking efforts and r policy decisions.

An unstructured mathematical model is proposed to describe the fermentation kinetics of growth, lactic acid production, pH and sugar consumption by Lactobacillus delbrueckii subsp. bulgaricus WDCM 00102 (National Bank for Industrial Microorganisms and Cell Cultures, Sofia, Bulgaria) as a function of the buffering capacity and initial dry matter concentration of pretreated biomass of Spirulina platensis (Arthrospira platensis) ('Simbiotex' Ltd., Sofia, Bulgaria) in the culture media. Initially the experimental data of L. delbrueckii subsp. bulgaricus WDCM 00102 fermentations in algae-based media with different buffering capacities and dry matter concentrations were fitted to a set of primary models. Later the parameters obtained from these models were used to establish mathematical relationships with the independent variables tested. The models were validated with 6 fermentations of L. delbrueckii subsp. bulgaricus WDCM 00102 in different algae-based media. In most cases, the proposed models adequately describe the biochemical changes taking place during fermentation and are a promising approach for the formulation of algae-based probiotic foods.

Ocular squamous cell carcinoma (OSCC) is an epithelial neoplasm that affects the ocular and periocular tissues, often associated with factors such as exposure to ultraviolet radiation. The disease is rarely reported in buffalo, particularly regarding its progression and treatment. This report describes a case of a buffalo with a pink mass in the right eye showing signs of inflammation. After clinical examination and initial treatment with topical solutions and systemic drugs, the tumour continued to grow. As a result, surgery was performed to remove the mass while preserving the eyeball and third eyelid. The procedure was successful, and histopathological analysis confirmed the diagnosis of OSCC. Postoperative recovery was satisfactory. It was concluded that early surgical treatment followed by medical treatment allowed complete recovery in the buffalo with OSCC.

The current study presents the first documented interaction between the date palm scale insect (Parlatoria blanchardi) and the black rats (Rattus rattus). For a year, this study investigated whether R. rattus could serve as a means of phoresy for the survival of P. blanchardi and the potential risks associated with its spread to date palm stands. Our research revealed a prevalence rate of P. blanchardi on R. rattus of 5.79% during the year, while a higher rate of 9.33% was observed during a specific five-month period. The mean infestation intensity was 3.39 parasites/rat during these five months. Statistical data revealed a highly significant difference in the distribution of the three age classes of P. blanchardi among the age categories of R. rattus (χ² = 62.067, df = 24, P = 3.244e–05). Furthermore, rat age classes differed significantly in their P. blanchardi infestation levels (χ² = 18.246, df = 3, P = < 0.001). The Negative Binomial Mixed Model showed a significant positive effect of temperature [(generalised linear mixed-effects models (GLMM): z (estimate/standard error) = 3.13, P < 0.01)] and sex (male) (GLMM: z = 2.22, P < 0.001) on insect abundance. These findings suggest that black rats may represent a previously unknown form of phoresy for the survival of the date palm scale insect, emphasising the need for further research to investigate this novel ecological interaction and its potential implications for pest management.

High salt (sodium chloride) consumption is a significant public health concern worldwide. There is strong scientific evidence that a high-sodium diet is associated with increased rates of several health problems. This article aims to replace the salt content of sliced bread with salt encapsulated in xanthan gum, providing a non-homogeneous distribution of salt to maintain the perception of salty taste. The key focus of this research is to maintain the product's sensory characteristics and ensure consumer acceptance, a crucial aspect in the success of any food product. For this purpose, three sliced bread formulations were developed and compared: Formulation 1 (F1) as the standard, and Formulations 2 (F2) and 3 (F3) using the encapsulated salt technique, with respective reductions of 30% and 50% in salt. Physicochemical analyses were performed on the products of the three bread formulations. Sensory analysis was also performed on the products from the three bread formulations, involving 80 untrained tasters, to evaluate and compare salt intensity. Thus, it was evaluated that F1 and F2 did not present statistical differences in the sodium content, while F3 presented a difference between the others. Therefore, it was possible to conclude that reducing sodium by 29% using xanthan gum encapsulation can be an alternative to reducing salt without lowering flavour perception.

Ornamental perennials are highly popular and irreplaceable plants commonly used for enhancing public spaces and private gardens. One of the most frequently occurring pathogens is powdery mildew, a parasitic fungus that covers leaves, stems, and flowers with a whitish to light grey mycelium and reproductive structures. It significantly reduces not only the lifespan of plants but also their aesthetic value. A field survey of ornamental plants infected with powdery mildew was conducted during the growing seasons of 2021–2023 in the Czech Republic. Thirty-nine species and cultivars of infected plants from 17 families were collected from botanical gardens, private gardens, and city parks, and 26 species of powdery mildew were identified. Species identification was based on a combination of morphological and PCR-based molecular analyses. The most frequently represented genus was Golovinomyces (13 species and varieties of powdery mildew on 21 plant samples from eight families), followed by five species of the genus Erysiphe on seven plant species from five families, and seven species of the genus Podosphaera on ten plant species from five families. The species Neoërysiphe galeopsidis was identified on a single plant sample. Two new powdery mildew species (Golovinomyces savulescui, Erysiphe knautie) were identified in the Czech Republic, and the host range of several species was clarified. Golovinomyces bolayi was confirmed on Campanula lactiflora and Veronica longifolia, Erysiphe macleaye on Dicentra spectabilis, and Podosphaera xantii on Calendula officinalis, Chrysanthemum sp., Dahlia pinnata, and Gerbera × hybrida.

The promotion of sustainable food productivity through innovative technologies remains a central priority in economic development, attracting increasing attention from scholars, policymakers, and industry stakeholders. With the continuing rise in global food demand, resource-efficient solutions are essential to ensuring long-term agricultural growth and stability in food production. This study examines the impact of green finance, agricultural innovation, digital technology, trade openness, and climate change on food production in sub-Saharan Africa (SSA). Using the method of moments quantile regression (MMQR) and the generalised method of moments (GMM), it analyses a balanced panel dataset covering 46 SSA countries from 2001 to 2023. The findings highlight the positive influence of green finance, agricultural innovation, and digital technology in enhancing food production, particularly in lower production sectors, suggesting important bidirectional policy implications. Trade openness is found to promote agricultural growth but exhibits diminishing effects at higher levels of productivity, indicating the relevance of a unidirectional policy focus. In contrast, climate change has a negative effect on food production. The study also identifies key mediation pathways, including green finance stimulating research and development, digital technology improving agricultural credit and farmers' education, and trade openness attracting foreign direct investment. These results emphasise the importance of integrated policy frameworks that combine financial support, technological advancement, and trade openness to promote sustainable agricultural growth and strengthen food security across SSA.

This paper analyses the distribution of CAP subsidies between primary beneficiaries (farms) and final beneficiaries (farm owners) in Slovakia in 2021, using unique micro-level data. The results show a significant inequality in the distribution of CAP subsidies between primary and final beneficiaries in Slovakia. The majority of CAP payments (92% for primary beneficiaries and 89% for final beneficiaries) are concentrated among the top 20% of beneficiaries, with a higher concentration among primary beneficiaries than final beneficiaries. However, there is a reversal at the top stratum of beneficiaries. The top 1% of primary beneficiaries receive 26.2% of CAP subsidies, compared to 31.0% for final beneficiaries. For the remaining 99% of beneficiaries, the distribution of CAP subsidies is more concentrated at the level of primary beneficiaries than at the level of final beneficiaries. The analyses suggest that the implementation of the CAP in Slovakia has not been sufficient to address the unequal distribution of CAP subsidies.

The effect of mineral, organic (manure or straw + intercrop) and combined fertilisation on the development of soil nutrient contents over time and their mutual ratios was evaluated in a long-term field trial, IOSDV (established in 1984 at two sites), differing in the soil-climatic conditions. Three cropping cycles, from 2016 to 2018, 2019 to 2021, and 2022 to 2024, were studied in the following crop rotation: winter wheat-winter barley-root crop (sugar beet at Ivanovice na Hané and potatoes at Lukavec). Potassium and phosphorus in mineral fertilisers have not been applied since the year 2020 due to their high content found in soils after dry years with low yields. Consequently, their content decreased, most in the third rotation, both by the Mehlich 3 method and especially the exchange fraction extractable with NH₄-acetate (Ivanovice: P 5–14%, 32–40% and K up to 12%, 9–20% determined by Mehlich 3 and NH₄-acetate, respectively; Lukavec: Mehlich 3 – P increase: 5–16%, K decrease: 0–8%; NH₄^- acetate decrease – P: 10–13%, K 8–23%). The mutual ratio of nutrients equivalents K : Mg : Ca was lower than required values 1 : 2–3 : 10–15 at both sites and all studied treatments, however a slight increase was observed during the studied period, above all in system with only mineral fertilisation (Ivanovice: K : Mg : Ca from 1 : 1.2 : 5.6 to 1 : 1.4 : 6.8, Lukavec: from 1 : 1.0 : 7.7 to 1 : 1.0 : 9.6). A correctly balanced ratio of nutrients in the soil is important for maintaining soil fertility. In this long-term field experiment, the increase in nutrient levels in soils over reasonable levels was observed, highlighting the necessity of regular nutrient testing in agricultural soils, especially when multiple types of fertilisers are used simultaneously.

The research was conducted in a long-term stationary experiment established on light grey forest surface-gleyed soil in 1965. Data presented in this study were collected during 2022–2024 growing seasons within the framework of this long-term experiment. The experiment is registered in the NAAS long-term field experiments registry (certificate No. 29) and the Global Long-Term Agricultural Experiments Network (GLTEN). The study examined the effect of growing red clover in a four-field crop rotation on nutrient balance at different fertiliser and lime doses and ratios. Red clover was used for feed and feed-green manure purposes. The research aimed to substantiate optimal methods of utilising this valuable forage crop and optimise fertilisation systems to ensure sustainable agricultural development. Growing the first cut of red clover for feed purposes and the second as green manure with fertilisation (N₁₀₅P₁₀₁K₁₀₁ + organic fertilisers + liming) ensures a positive surface balance of 402 kg/ha of nitrogen, 150 kg/ha of phosphorus, and 204 kg/ha of potassium. These data are almost twice higher than indicators under minimal fertilisation doses. Despite the reduction in symbiotic nitrogen fixation from 217 kg/ha to 147 kg/ha when growing red clover in crop rotation with intensive fertilisation, it remains an effective phytobiological ameliorant.

Conservation grassland significantly reduces soil erosion risk in agricultural landscapes, as shown by a nationwide analysis of over 1.9 million Farmer’s blocks (DPBs) records from the Czech Republic (2016–2022). A logit regression model revealed that grassland establishment lowers the likelihood of erosion events by about 64%, with erosion risk strongly influenced by altitude, land use, and management practices. Spatial mapping and soil suitability classification identified nearly 240 00 hectares – mainly along 33 000 concentrated runoff pathways – as suitable for targeted grassland conversion. Despite its soil-protective function, high opportunity costs hinder uptake in economically productive regions. Cluster analysis across EU Member States confirmed a strong link between low permanent grassland share and high erosion exposure. The findings underscore the need for regionally tailored policies, long-term financial support, and flexible land management options to enhance soil resilience and promote sustainable agriculture.

In this study, we present a detailed geochemical characterisation and stable isotope systematics of silver (Ag) in a mining waste facility at the Namib Lead & Zinc mine in Namibia (Africa). We examined a series of flotation tailings and ore minerals to address two principal questions: (1) the distribution, chemical form and leachability of Ag, and (2) the local Ag isotopic signature(s) and its variability in relation to Ag speciation in the solid phase, as well as the fate of stable Ag isotopes. Our findings reveal a significant correlation between Ag and Pb concentrations, indicating that galena is the primary Ag carrier. Most importantly, all mild extractions mobilised only a minimal amount of Ag (≤ 1 wt.% of the total amount). This suggests that most Ag is associated with geochemically stable phases, specifically sulphides, which are not subjected to leaching and/or intensive weathering. Unlike other isotope studies, the present research demonstrates a homogeneous Ag isotopic signal in the tailings and individual ore samples with an average δ¹⁰⁹Ag value of ~ 0‰ (± 0.1, 2SD). Therefore, this study provides new knowledge and clearly supports the use of Ag isotopic data to track primary Ag sources globally, not only in Africa.

A cross-sectional study was conducted in western Algeria between February and October 2024, aimed at determining the prevalence of bovine mastitis, Gram-negative bacilli, and their associated risk factors. A total of 524 cows were sampled using clinical examination and the California mastitis test. Milk samples from the affected quarter were subjected to bacteriological assays. Three generalised linear mixed models were used to identify the risk factors for clinical mastitis (CM) and subclinical mastitis (SCM), as well as Gram-negative bacilli isolates associated with bovine mastitis. Model selection was performed using the Akaike information criterion. The prevalence of mastitis was 59.7% at the cow level, of which 12.6% was CM and 47.14% SCM. Overall, 65.5% of the mastitis cows showed a positive culture for Gram-negative bacilli. The most commonly isolated bacteria were Escherichia spp. (44%), Klebsiella spp. (23.1%), and Pseudomonas spp. (11.6%). The parity, contact with visitors, and daily milk yield (l/day) were identified as risk factors for SCM in dairy cows. However, foremilk discarding reduced the risk of developing SCM. A history of mastitis, udder injuries, udder and leg hygiene scores, and parity were identified as risk factors for CM. Nevertheless, none of the variables examined were risk factors for an udder infection by the Gram-negative bacilli isolates.

This article presents guidelines for assessing the optimal dimensions of forest road pipe culverts, based on input of actual and experimental data to standard engineering techniques. In doing so, we assess the need for (i) changes in the parametrisation of inputs (i.e. culvert micro-catchment dimensions, rainfall and resultant culvert flow, and culvert flow rates during culvert hydraulic dimensioning), and (ii) the need to redesign culvert outlets in relation to flow speed. Our results demonstrate that values for most inputs presently used under current technical practice for forest road pipe culvert sizing are significantly higher than those achieved under experimental conditions. The data on outlet flow velocities strongly suggests that strengthening of culvert outlet aprons will be crucial for their future operation.

Modern dairy farming faces the dual challenge of meeting global food demands while mitigating its environmental impact, particularly greenhouse gas (GHG) emissions, such as methane (CH₄), a potent contributor to climate change. This review explores the role of Precision Livestock Farming (PLF) technologies in monitoring and reducing CH₄ emissions from dairy cattle. We evaluate state-of-the-art methods, including direct monitoring (e.g. respiratory chambers, GreenFeed systems) and indirect approaches (e.g. infrared milk spectroscopy, AI-driven analytics), alongside mitigation strategies such as nutritional optimisation, genetic selection, and ruminal additives. PLF emerges as a transformative tool, integrating real-time data on animal health, feed efficiency, and environmental conditions to optimise management practices and reduce emissions per unit of milk produced. By synthesising current research, we highlight the potential of PLF to reconcile productivity with sustainability, offering scalable solutions for the dairy sector. Critical gaps in real-time CH₄ monitoring and farm-level implementation are identified, underscoring the need for further innovation. This review provides a roadmap for aligning dairy production with global climate goals while ensuring food security for the growing population.

Rice paddy fields serve as an important source of stable food supply and a notable contributor to atmospheric methane (CH₄) and nitrous oxide (N₂O). Rice cultivar selection acts as a pivotal factor in regulating greenhouse gas (GHGs) of CH₄ and N₂O emissions from rice paddy fields. However, little is known about how different types of rice cultivars affect CH₄ and N₂O emissions. In the study, three types of rice cultivars, including Japonica-type Indica-Japonica hybrid rice (JHR: ZJY1578 and JHY5), Indica-type hybrid rice (IHR: ZZY8 and JFY2), and inbred rice (IR: J67 and XS121), were selected to evaluate differences in mitigating GHGs. Results showed that the total CH₄ and N₂O emissions of two Japonica-type Indica-Japonica hybrid rice cultivars were 49.81–60.01 kg/ha and 0.67–0.83 g/ha, respectively, which were lower than those of the other two rice cultivar types. The total equivalent of carbon dioxide emissions of CH₄ and N₂O (TCO₂-eq) of two Japonica hybrid rice significantly reduced by 16.7–46.9%, compared with the other two types of rice cultivars (IHR and IR). CH₄ contributed 85.5–89.9% to the GWP, while 65.6–80.4% in the field of planting inbred rice. The reduction in GHGs emissions is mainly attributed to yield, available carbon and nitrogen contents, root morphological characteristics, and functional genes. Consequently, GHGs emissions in paddy fields could be mitigated by selecting or breeding cultivars with high yield, lower root exudates, and greater root porosity.

Recently, protected cultivation of bananas under subtropical conditions has gained popularity due to the impact of global climate change. Several factors influence the yield and quality of banana cultivation. Among these factors, variety plays an important role along with cultural practices. This study aimed to determine the performance of ‘Azman’, ‘Bango’, ‘Bonus’, ‘Grand Nain’, ‘Lider’, and ‘Paşa’ banana varieties in terms of morphological and yield characteristics under protected cultivation, as well as to elucidate the relationship between yield and factors affecting yield. The research was conducted between 2020 and 2022 in the Manavgat district of Antalya. The research findings showed that each morphological parameter examined varied significantly. However, the ‘Bango’ variety exhibited superior results in terms of finger circumference (13.23 cm), finger length (21.08 cm), bunch weight (39.33 kg), and yield per hectare (72 t/ha). Moderate to high-level phenotypic correlations were found between bunch weight and pseudo stem girth, pseudo stem height, number of fingers, finger weight, finger circumference, and finger length, with values of 0.544, 0.478, 0.326, 0.669, 0.581, and 0.543, respectively. Positive and significant phenotypic correlations were determined between finger length affecting export quality, bunch weight, finger weight, and finger circumference, with values of 0.543, 0.799, and 0.625, respectively. It can be concluded that the ‘Bango’ variety exhibited better results as compared to other varieties in terms of both yield and quality criteria. Additionally, positive phenotypic correlations were observed between bunch weight (which directly influences yield) and finger length (which affects export quality), as well as various morphological and pomological characteristics.