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The wheat seed gall nematode Anguina tritici is a scientifically interesting nematode due to its aerial parasitic behaviour and ability to survive for years under desiccated conditions in seed galls. However, Anguina's life cycle and its correlation with host-plant growth and environment are poorly understood. Here, we conducted a microplot study at IARI, New Delhi, India, to examine the effects of early and late sowing dates on the life cycle of the wheat seed gall nematode using growing degree days (GDD). The study confirmed the presence of juvenile stages in the soft, undifferentiated floral mass and the upper one-third part of the stem. During the early stage of floral differentiation, the plant ovary develops into milky grains, while the galls (false ovules) become fully green. An increase in size and gonad cell development was observed when nematode J2S entered the floral tissue. The count of adult females in galls marginally surpasses that of adult males, and the female: male ratio ranged from 1.46 : 1.00 to 1.48 : 1.00. After GDD and cGDD (cumulative growing degree days) calculation, we found that the nematode completed its life cycle in 90 to 140 days, depending on the wheat sowing dates and change in temperature. The study also showed that nematode development was in sync with wheat plant growth and development. The information developed from the study such as the cumulative GDD and it's correlation with Anguina's life cycle, presence of nematode in stem, flower and gall, it's migration from collar to flower, presence of various stages of nematode in different plant tissues, and it's undergoing the anhydrobiotic process in seed galls may be used to determine the best time to intervene and manage nematode infestations.

Protective cultures are selected microorganisms that inhibit undesirable microbiota through metabolic activity, thereby improving the safety and shelf life of dairy products. This study evaluated the effect of protective cultures on the physicochemical, microbiological, and sensory properties of fresh cheese during 21 days of storage at 6–8 °C. Three variants were prepared: a control with the starter culture CHN-19 and two experimental samples containing FreshQ^® Cheese 3 and FreshQ^® 9 (Lacticaseibacillus rhamnosus). The application of protective cultures resulted in a slightly faster acidification but did not significantly affect dry matter or fat content. Microbiological analysis revealed higher counts of lactic acid bacteria and generally lower counts of psychrotrophic microorganisms in samples containing protective cultures on several storage days, while Escherichia coli and moulds were not detected. Sensory evaluation indicated that cheeses with protective cultures, particularly FreshQ^® 9, maintained a pleasant flavour and appearance even after 21 days of storage, whereas the control sample became sensorially unacceptable after approximately two weeks. The application of protective cultures therefore enhances the sensory stability and microbial safety of fresh cheeses without adversely affecting their technological characteristics.

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

This study investigates the effects of digital economy (DE) on agricultural land use (ALU) in seven sub-Saharan African (SSA) countries, specifically from 2006 to 2022. Using a moderating mediation model on panel data, the work explores the extent to which the DE, as proxied by fixed telephone subscriptions, internet usage, and mobile penetration, influences the degree and intensity of ALU. The results indicate that ALU is often supported by DE, as technology will lay the groundwork for improved land management and agriculture. Results show that DE has a positive influence on ALU, with a more substantial effect being observed in countries such as Kenya and South Africa, where more developed digital infrastructure and governance are in place. In contrast, Uganda and Zambia exhibit lower impacts due to lower levels of digitalisation and governance barriers. The patent applications (PAs) and water management represent the positive mediators of the efficiency of land-use improvement. The study highlights the need for government-enabling policies and digital infrastructure so that the promise of digital technologies and their uptake for agricultural production in SSA is fully fulfilled. Whenever technology is integrated with an appropriate resource management policy, SSA societies have the potential to achieve sustainable agricultural development and food security.

This study investigates the extent to which international agricultural price shocks are transmitted to domestic agricultural markets in both developed and developing economies. Using panel data from 13 major agricultural trading countries from 1990 to 2022, we applied cross-sectional dependence tests, fixed-effects panel regressions, and panel Granger causality analyses to examine the degree of interdependence and directionality in price movements. Our results reveal significant cross-sectional dependence, suggesting that global price shocks reverberate across the national markets. The panel regression estimates indicate a statistically significant and positive effect of international prices on domestic prices, with a stronger transmission observed in developed economies. Panel Granger causality tests confirm that global price indices significantly predict domestic price changes in most countries, although reverse causality is limited to large exporters, such as the United States, China, and Brazil. Robustness checks across sub-periods (1990–2005 vs. 2006–2022) and country groupings validate the stability and heterogeneity of the price transmission mechanisms. These findings underscore the increasingly integrated nature of food markets and the evolving dynamics of price volatility. The policy implications highlight the importance of multilateral coordination in food trade, differentiated policy tools tailored to country development levels, and the need for strategic buffering mechanisms to manage the growing global volatility in agricultural prices.

Dragon trees, arborescent members of the genus Dracaena (Asparagaceae), provide a wide range of ecosystem services and have been ethnobotanically important plants since ancient times. Currently, their relictual distribution is fragmented, populations are isolated and often under threat. We provide a brief overview of scientific studies and the state of knowledge on dragon trees published since 2020, when the last review was published. More than 120 papers dealing with dragon trees have appeared, indicating a significant interest in their research, cultural uses and conservation. The most intensively investigated species are Dracaena cochinchinensis, D. cinnabari, D. draco and D. cambodiana. Almost half of the papers deal with the chemical composition of resin and its bioactivity, in addition to studies on ecology, conservation and genetics. Only a few studies are devoted to taxonomy and ethnobotany.

Controlling weed populations in agricultural land is challenging due to various factors, such as soil conditions, crop type, and environmental conditions. Substantial experience is needed to develop a strategy for minimising pressure from weed infestation. For a relatively longer period, weed control was taken care of using herbicides and mechanical and manual weeding. While herbicides simplify weed control, they pose issues like residual effects and the development of herbicide resistance in weeds, necessitating the deployment of alternate smart weed-management technologies. Lately, smart weeding robots and sensor-based site-specific spraying systems have been developed. Sensors as varied as hyperspectral imaging cameras, Global Navigation Satellite System (GNSS), Real Time Kinematics-Global Positioning System (RTK-GPS), optoelectronic, fluorescence sensors, laser and ultrasonic systems can help to improve weed control efficacy when combined with mechanical and spraying robotic systems. Camera-steered mechanical weeding robots and unmanned aerial vehicles are now widely available for weed management. This review focuses on the developments in sensor-based mechanical and chemical weeding, identification of herbicide-resistant weeds, and herbicide effect assessment. This is a comprehensive overview of studies of sensor-based weed-management strategies being adopted worldwide. Furthermore, an outlook towards future sensor-based weed control strategies and necessary improvements are given.

Agricultural machines that are fully autonomous will still need human supervisors to monitor and troubleshoot system failures. Recognising the emergency as soon as possible is crucial to reduce adverse effects. The ability of humans to detect visual, auditory, or tactile cues is usually enabled by warning systems. The effectiveness of different warning cues varies in terms of prompting a quick response. The study’s objective was to compare the effectiveness of two bimodal warnings (i.e., visual-auditory and visual-tactile) at eliciting supervisor perception (which equates to level one situation awareness). Twenty-five participants engaged in an autonomous sprayer simulation. Two realistic remote supervision scenarios (i.e., in-field and close-to-field) were used to examine two bimodal warning cues: (i) visual-auditory and (ii) visual-tactile. The effectiveness of each bimodal warning was assessed based on two measures: (i) response time and (ii) noticeability. There was no significant difference between the bimodal warning cues in terms of response time when tractor sound was present in the experimental environment (reflecting the in-field remote supervision scenario); however, visual-tactile cues yielded shorter response times than visual-auditory cues when the experimental environment was quiet (reflecting the close-to-field remote supervision scenario). There were no statistically significant differences between visual-auditory and visual-tactile warnings concerning noticeability. Participants’ subjective answers indicated they preferred the visual-tactile cues better than the visual-auditory cues. It is concluded that visual-tactile warnings are preferred over visual-auditory warnings to enable perception during remote supervision of autonomous agricultural machines (AAMs).

Solanum commersonii shows tolerance to low temperatures, a key target trait for potato breeding. Calcium-dependent protein kinases (CIPKs) play a significant role in plant defence response to several stresses, including cold. In this study, we observed the expression of ScCIPK1, ScCIPK3, ScCIPK23 and ScCIPK24 in S. commersonii exposed to 4 °C at multiple time intervals. Initial findings revealed that these genes were under-expressed after 10 and 30 minutes of cold stress, except ScCIPK3. Notably, after 24 hours, all genes displayed higher expression levels compared to the non-stressed controls. These findings highlight the role of ScCIPK3 in the early stages of cold response and indicate a coordinated regulatory mechanism across CIPKs that likely contributes to the cold stress tolerance observed in S. commersonii. In this work, we introduce a model to elucidate the signalling crosstalk under cold stress in S. commersonii, providing insights that could facilitate the development of cold-resistant potato cultivars.

Forest management of durmast oak stands [Quercus petraea (Matt.) Liebl.] is focused on the production of high-quality assortments for the furniture industry. Due to various forest management factors and impacts of climate change, their vitality and quality are often reduced. Sudden illumination of the oak trunk caused by management cuts can lead to epicormic shoot formation. This study compared two localities and nine long-term research plots at the stand age of 62–68 years in Slovakia. While one locality was affected by the massive dieback of oak in the past, the other was not. The epicormic shoot occurrence was monitored separately in the lower and upper parts of the trunk, depending on selected quantitative tree parameters and on the various management methods. The formation of epicormic shoot was influenced especially by DBH, crown width and crown volume. The occurrence of shoots was always markedly higher in the upper part of the trunk compared to the lower one. During a 35-year period, the development of the proportion of epicormic shoots in the lower part of the trunk in the locality with massive dieback of oak confirmed a higher occurrence on control plots compared to the managed plots with thinning interventions. It showed that the occurrence of epicormic shoots in durmast oak stands was influenced not only by different methods of management but also by the dieback effect in the past. Promoting more intensive thinning in early-stage oak stands is advised, as it prompts trees to develop larger crowns with limiting formation of epicormic shoots.

In the face of global challenges, innovative methods of production and consumption are vital, and the bioeconomy signifies a transformational shift based on biological processes, minimal energy use and full integration of resources into ecosystems. This study focused on a sectoral analysis of bioeconomy opportunities with a focus on bioenergy and waste management in an agriculture sustainable approach. Literature-based analysis was used to approach the research objectives of the roadmap design methods. A comprehensive sectoral analysis of the bioeconomy was conducted with a special emphasis on bioenergy and food security. A conditional roadmap of bioeconomy implementation clusters was presented, which is in line with global trends.  Agriculture, being an integral part of the bioeconomy, faces challenges due to ecosystem degradation, water scarcity, and poverty. The global trend of biotechnology adoption in agriculture offers benefits for sustainable bio-economic development, including soil conservation, cost reduction, job creation and improved food quality. Thus, the bioeconomy has significant potential to address global challenges and achieve sustainable development, which requires innovation, regional adaptation and a commitment to harmonise economic growth with environmental conservation. Further research into the involvement of the rural areas in the development of bioeconomy is required.

Diagnostic morphological traits distinguishing Tilia cordata and T. platyphyllos are not always apparent. Precise species identification is crucial for conservation management and for establishing genetic resources of forest reproductive material. In this study, we employed fifteen microsatellite (SSR) markers to identify diagnostic loci for reliable species discrimination between T. cordata and T. platyphyllos species and to evaluate the genetic diversity. A total of 250 trees were sampled from eight natural autochthonous populations of T. cordata and T. platyphyllos in the Czech Republic, and additional ten individuals of T. tomentosa were included for comparison. Markers Tc8 and Tc918 were identified as diagnostic, exhibiting species-specific alleles for T. cordata and T. platyphyllos. Contrary to the previously published results, we obtained PCR amplicons at locus Tc918 with an allele size of 226 bp in T. cordata. An analysis of the fifteen SSR loci revealed a high level of genetic variability in both the T. cordata and T. platyphyllos populations. No clonally identical genotypes were detected across the eight study sites. The genetic differentiation (Fst) was higher between T. platyphyllos and T. tomentosa (0.316) than between T. platyphyllos and T. cordata (0.205). Bayesian clustering further revealed distinct genetic structures for T. cordata, T. platyphyllos, and T. tomentosa.

Agricultural carbon emissions (ACE) is a critical contributor to global greenhouse gas emissions, which have already become a common challenge for global carbon reduction. As a major agricultural producer and largest carbon emitter, China has made great efforts to reduce ACE. Using the panel data of 30 provinces in China from 2011 to 2022, this study explores the heterogeneous impacts of formal environmental regulations (FER) and informal environmental regulations (IER) on ACE. The results reveal that both FER and IER have significant effect on reducing ACE, with FER showing a more pronounced effect. The mechanism analysis indicates that agricultural technological innovation and planting structure adjustment play important mediating roles in this impact mechanism. The effect of FER is more remarkable in major grain producing areas than in non-major grain producing areas, while the effect of IER is completely opposite. Compared with coastal regions, both FER and IER have significant inhibitory effect on ACE in inland regions. Additionally, the marketisation level may reinforce the inhibitory effect of both FER and IER on ACE. Based on the empirical results, this study suggests to strengthen the synergistic effect of FER and IER, promote agricultural technology innovation, and formulate targeted policies according to regional differences.

 Ichthyophthiriosis, caused by Ichthyophthirius multifiliis, is a major threat in salmonid aquaculture. This study evaluated the efficacy of orally administered standard doxycycline and controlled-release doxycycline formulations in experimentally infected brook trout (Salvelinus fontinalis). Fish received medicated feed for 10 days starting seven days post-infection. Controlled-release doxycycline achieved the highest survival rate (84.2%), followed by standard doxycycline (73.7%), while no control fish survived after day 25 post-infection. Both drug formulations eliminated trophonts from the skin and gills by 20 days post-treatment. Despite a 2.5-fold lower dietary dose, the controlled-release doxycycline achieved a tissue concentration equivalent to ~32% of that of standard doxycycline, with similar retention rates. Levels of doxycycline residues in water declined over time for both groups, indicating limited environmental release. These results demonstrate the effective mitigation of ichthyophthiriosis with orally administered doxycycline and the enhancement of antiparasitic efficacy and reduction of drug load in tissues and the environment via controlled-release technology, supporting its potential as a sustainable medicated feed strategy in salmonid aquaculture. 

Nitrogen fertiliser is a key determinant of rice yield and grain quality; however, the synergistic mechanisms through which nitrogen regulates root anatomical structure, physiological traits, and cooking quality in rice varieties with different eating properties remain unclear. In this study, a pot experiment was conducted using two moderate-eating-quality cultivars (Xudao 3 and Huageng 9) and two superior-eating-quality cultivars (Zhengdao C42 and Nangeng 9308) under four nitrogen levels (0, 0.59, 1.18, and 1.76 g/pot, designated as N0, N1, N2, and N3, respectively). Cooking quality was assessed by amylose content, gel consistency, and alkali spreading value. The results demonstrated that, with increasing nitrogen application, amylose content, alkali spreading value, malondialdehyde (MDA) content, root aerenchyma area, and aerenchyma proportion decreased initially, then increased, reaching their lowest values at the N2 level. In contrast, gel consistency, root antioxidant enzyme activities (SOD, POD, CAT), photosynthetic rate and cortical living cell proportion increased first and then decreased, peaking at N2 treatment. Compared with moderate-eating-quality varieties, superior-eating-quality varieties exhibited significantly lower amylose content, alkali spreading value, MDA content, and aerenchyma proportion, but higher gel consistency, living cell proportion, stele-to-root diameter ratio, antioxidant enzyme activities, and photosynthetic rate. Correlation analysis revealed that root antioxidant enzyme activities, stele diameter and living cell proportion were negatively correlated with amylose content, but positively correlated with gel consistency. Conversely, MDA content, aerenchyma area and aerenchyma proportion showed opposite correlation patterns. These findings indicate that an appropriate nitrogen application rate (1.18 g/pot) enhances root physiological activity, optimises root anatomical structure, and ensures sufficient source supply to the grain sink, thereby synergistically improving cooking quality – an effect particularly pronounced in high-eating-quality rice varieties.

Coppice is the oldest form of systematic and sustainable use of forests, and is currently applied on about 29 million ha (about 14% of total forest land area) in Europe. It had its maximum spread in the 16^th century, when an estimated 36% of all forested land in Europe was managed for coppice. Coppice forests were the most important source of fuelwood until the mid-19^th century, when firewood and charcoal were substituted by alternative fuels, and the demand for construction wood increased. Consequently, coppices (both low and coppice-with-standards) started to be converted to high forests, and the process was driven by national policies and/or subsidies, which is still the situation in some European countries. During the 20^th century, coppicing was abandoned in many places across Europe due to the abandonment of the countryside and population migration into cities, as well as changes in socio-economic conditions, technical advances and political restrictions. However, coppicing is still important in many European countries as the main source of firewood for the rural population, who has limited access to other sources of energy. In this context, this paper presents the most important characteristics of this complex abandonment/management/conversion picture, emphasising the pros and cons for the future of coppices across Europe.

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.

The paper examines the impact of biotic factors – mainly pests and pathogens – on the degradation of Betula spp. in the forests of Ukrainian Polissia. The taxonomic structure of the identified mycobiota includes representatives of 9 genera, 8 families, 5 orders, 4 classes, and two divisions (Ascomycota 44.4%, Basidiomycota 55.6%). Xylotrophic Basidiomycetes, particularly Fomitopsis betulina and Fomes fomentarius, pose the greatest threat due to their ability to destroy wood tissues. The bacterial pathogen Lelliottia nimipressuralis, the agent of wetwood, also plays a major role, impairing xylem water transport and causing systemic physiological imbalance in affected trees. Entomofauna significantly contributes to degradation processes. A total of 31 insect species were recorded, belonging to five orders, 24 families, and 29 genera, with Coleoptera being the most numerous (32.3%). The most harmful are xylophagous species (e.g. Agrilus betuleti, Rhagium mordax) and phytophagous species (e.g. Geometra papilionaria, Parornix betulae), which cause mechanical tissue damage and facilitate secondary infections. The results indicate that pathogenic complexes intensify under environmental stress, accelerating the decline of Betula spp. stands. These findings underscore the necessity for ongoing phytosanitary monitoring and adaptive management measures to mitigate further degradation risks in the birch forests of Polissia.

A quarantine organism, the bacterium Xylella fastidiosa (Xf), is a xylem-inhabiting, vector-transmitted, Gram-negative, and very slow-growing bacterium in the Lysobacteraceae (earlier Xanthomonadaceae) family. The spreading of X. fastidiosa over long distances occurs mainly via import/export human-mediated transportation of mainly latently or symptomatically infected plant material. Short-distance distribution is usually by xylem sap-feeding insects. Until now, the presence of X. fastidiosa has not been reported or studied in Poland. During our study, over 500 individuals from the four families: Cicadellidae, Aphrophoridae, Delphacidae and Membracidae were collected in different geographical regions of Poland. Real-time PCR with primers for rimM gene and nested PCR to detect X. fastidiosa, using DNA extracted directly from selected insects known as potential vectors of X. fastidiosa, did not confirm the bacterium's presence in these insects.

This study represents the first evidence of the bacterial blight caused by Xanthomonas arboricola pv. juglandis (Xaj) on walnut trees in Podgorica (Montenegro). Disease symptoms appeared on leaves in the form of dark, angular leaf spots surrounded by yellow-green haloes and lesions spread across the whole leaf. Isolated bacteria were preliminarily identified using PCR with pathovar-specific primer pair XajF/XajR and further characterised based on multi-locus sequence analysis with nine housekeeping genes (fusA, gapA, gltA, gyrB1, lepA, rpoD, dnaK, fyuA, and gyrB2). Montenegrin walnut isolates were homogeneous among themselves and the most closely related to different X. arboricola strains originating from Juglans regia isolated elsewhere. The pathogenicity of isolates was confirmed on walnut leaves, fruits, and branches. All inoculations resulted in the formation of necrotic lesions that initially developed at the site of bacteria entry, with later developing chlorotic areas on leaves along the leaf veins. This finding of Xaj causing leaf blight symptoms on walnuts in Montenegro highlights its expanding distribution across Europe and indicates a potential threat to walnut plantations in Montenegro.

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.

Citrus sinensis (L.) Osbeck (sweet orange) is the most important cultivated citrus fruit in the world. However, Hanglongbing (HLB) disease, caused by Candidatus Liberibactor asiaticus (CLAs), poses a major threat to sweet orange production, by hindering colour, quality and export. Carotenoid cleavage oxygenases (CCOs), which include carotenoid cleavage dioxygenases (CCDs) and 9-cis-epoxycarotenoid dioxygenases (NCEDs), are essential for plant growth, development, and adaptation to phytohormonal, biotic, and abiotic stresses. This study identified 14 CsCCO genes in C. sinensis. Structural and conservation studies were conducted using gene structure and conserved domain analysis. Genomic localisation, gene duplication, and similarity among these genes were also examined. Gene ontology analysis predicted that CsCCOs could be involved in the carotene catabolic process. Analysis of cis-regulatory elements revealed that most CsCCO genes are involved in responses to stress, light signalling, and plant growth regulation. Genes in the 9-cis-epoxycarotenoid dioxygenase (NCED) subgroup are predominantly localised in chloroplasts, whereas genes in other subgroups are primarily found in the cytoplasm. All 13 of the CsCCOs genes identified were regulated by 25 microRNAs, indicating the crucial role of microRNAs in gene regulation in Citrus sinensis. The expression patterns of CsCCO genes in response to biotic and abiotic stress were studied. Transcriptome analysis demonstrated that CsNCED3 and CsNCED10 were up-regulated in response to HLB. This provides insight into the function of CCO genes in C. sinensis and identifies potential candidate genes for combating citrus greening.

This study systematically evaluated the effects of four thermal processing methods-boiling, steaming, extrusion, and roasting-on the physicochemical properties and in vitro antioxidant activity of black beans. Notably, ash content decreased following boiling and steaming, reaching 45.5 mg·g–1 and 43.5 mg·g–1, respectively, corresponding to reductions of 8.5% and 13.3%. In contrast, extrusion and roasting led to moisture loss, resulting in ash content increases of 3.2% and 6.8%. Among the treatments, boiling significantly increased powder clumping (5.1%), primarily due to elevated moisture content, a value markedly higher than that observed for other methods. Both boiling and steaming diminished brightness, while extrusion deepened colour intensity and enhanced redness. Regarding chemical composition, polyphenol content declined after boiling and steaming (3.8 mg·g–1 and 2.9 mg·g–1, respectively) relative to untreated black bean powder (4.3 mg·g–1). Extrusion, however, elevated polyphenol levels, whereas all heat treatments reduced flavonoid content, with boiling exerting the greatest impact. Antioxidant activity also declined post-processing, with boiling having the most pronounced effect on 1,1-diphenyl-2-trinitrophenylhydrazine (DPPH) radical scavenging and steaming most affecting hydroxyl radical elimination. Extrusion emerged as the optimal processing method for black beans, and superior retention of bioactive compounds, enhanced antioxidant capacity, improved physicochemical properties (lower clumping, stable colour parameters). These findings could provide actionable insights for food industries to select processing methods that maximise nutritional value and functional properties of black bean products.

Chlorhexidine (CHX) is a bactericidal agent used as a common disinfectant since the 1950s. However, its effectiveness may have diminished over the time due to the rise of microbial resistance even among nonantibiotics. In this study, we evaluate the response of 46 Staphylococcus aureus isolates to CHXdihydrochloride according to their origin and phenotype (haemolysis induction, coagulase production, methicillin resistance and biofilm formation). Following classification, the influence of seven CHX concentrations (10.00–0.50 mg·L–1) on planktonic cell growth and biofilm formation was evaluated spectrophotometrically at 620 nm and 595 nm (24 h). Even though the effect of CHX was strain-specific irrespective of origin or phenotypic profile, concentrations above 2.50 mg·L–1 were almost uniformly determined as bactericidal. Although the non-bactericidal concentrations did not indicate any statistically significant differences, they did promote biofilm formation in some cases. Overall, our results suggest that CHX is still an effective disinfectant and an antimicrobial agent against S. aureus.

In this study, the effect of abscisic acid (ABA; 150 μmol) or epibrassinolide (EBL, 3 μmol) in mitigating the adverse drought conditions was evaluated in tomato plants (Solanum lycopersicum L. cv. Vilma). Potted plants were subjected to two 6-day periods separated by a one-time rehydration. Results showed that water deficit increased the content of superoxide radical (O₂^•−), malondialdehyde (MDA), proline, ABA and its metabolites. On the other hand, the studied cytokinins showed a rather opposite trend. ABA application maintained and later reduced the O₂^•− content. At the same time, the MDA level was lower but later increased, while the proline content was reduced compared to untreated plants. This indicates that ABA helps the plants cope with the initial stress phase. In addition, ABA-activated signalling pathways showed increased levels of ABA, auxins, salicylic acid or jasmonic acid. EBL even more increased O₂^•− and proline content. At the same time, EBL increased the content of auxins, jasmonic acid and later ABA. In contrast, a decrease in salicylic acid and cytokinins was monitored. These findings indicate that ABA contributed to improved stress responses through early phytohormone-mediated signalling and reduction of stress markers, whereas EBL appeared less effective under our experimental conditions.

The anaerobic unicellular protist Blastocystis is widely recognised for its presence in the gastrointestinal systems of humans and various animals globally. However, there is a paucity of reports on the prevalence and subtype (ST) distribution of Blastocystis in the squirrel population. This study was conducted to determine the prevalence and genetic diversity of Blastocystis, as well as its zoonotic potential, among Sciurus vulgaris and Sciurus vulgaris exalbidus in Chengdu, China. A total of 41 faecal samples (31 from Sciurus vulgaris, 10 from Sciurus vulgaris exalbidus) were analysed for the presence of Blastocystis sp. using the polymerase chain reaction (PCR) amplification of the small subunit ribosomal RNA (SSU rRNA) gene. Our findings revealed a positive rate of 4.88% (2/41 samples) for Blastocystis sp., with both identified as ST4 through nucleotide sequence homology and phylogenetic analysis. Given the zoonotic nature of this subtype, farmed squirrels may serve as potential reservoirs for Blastocystis transmission to humans and domestic animals. These findings are essential for developing effective control strategies against Blastocystis in the study region and enhancing our comprehension of the genetic spectrum of Blastocystis within Sciurus vulgaris and Sciurus vulgaris exalbidus.

From 1967 to 1995, the flight activity of 25 monovoltine species of moths (Noctuidae, Lepidoptera) was monitored via a light trap located in Prague (50.09 N, 14.30 E). For each species, the day when half of the individuals were caught (peak of flight activity, PFA) was specified each year. This study addresses a method of predicting the calendar date of the PFA via thermal time. We determined a base temperature of +6 °C, at which the differences between the predicted and actual dates of the PFA were minimal. For each species and each year, the sum of the degree days exceeding the base temperature from January 1 to the date of the PFA (SumT) was determined, and the average SumT throughout the study was calculated. Each year, the predicted date of the PFA is the date when the average SumT was achieved. Sixty-five percent of the predicted PFA dates fell within ±5 days of the actual date of the PFA. Shifts in the magnitude and direction of the difference between the actual and predicted PFAs affecting concurrently all species were caused by the thermal conditions of the year.

This study aimed to determine coagulation changes in bitches with pyometra based on a series of coagulation tests and thromboelastography (TEG), and to assess the incidence of disseminated intravascular coagulation (DIC). Eighteen bitches with pyometra and thirty-four control bitches were examined. Haematological, biochemical, and following haemostasis parameters were measured, including: prothrombin time (PT), activated partial thromboplastin time (aPTT), antithrombin activity (AT), and levels of fibrinogen (FBG), d-dimers (DD), tissue factor (TF), plasminogen (PLG), tissue plasminogen activator inhibitor 1 (TPAI-1), and thromboelastography. DIC was considered present if three or more of these parameters were abnormal: platelet count (<153 × 10⁹/l), PT (>8.1 s), aPTT (>25.5 s), FBG (<0.6 g/l), DD (>0.2 mg/l), and AT (<107%). Significant differences were found in the PT, aPTT, FBG, DD, TPAI-1, clotting time, α-angle, and maximal amplitude. According to our scoring system, two patients were DIC positive. The study found alterations in several coagulation tests and hypercoagulable TEG tracings in bitches with pyometra, which point to excessive activation of coagulation, delayed fibrinolysis, and the presence of DIC. No patient bled abnormally, which may suggest that DIC is not overt in the majority of pyometra patients.

Puerperal diseases are major postpartum complications in dairy cattle and may compromise both survival and production performance. This study evaluated how specific puerperal diseases influence early culling risk and standardised 305-day milk traits in Slovak Spotted cows. A total of 792 animals were clinically assessed during early postpartum and classified as healthy or affected by ketosis, metritis, retained foetal membranes, parturient paresis, or by comorbid diseases, defined as the concurrent occurrence of two or more disorders. Logistic regression models indicated that ketosis was associated with the highest odds of culling compared with healthy cows (odds ratio = 2.23; P = 0.05). The multivariable model had a predictive discrimination of 0.75, as indicated by the area under the receiver operating characteristic curve, suggesting moderate performance. After excluding the cows culled during the puerperium to avoid bias from incomplete lactation data, the dataset was restricted to 546 animals. Within this group, metritis was associated with the lowest 305-day milk yield, with an average decrease of 1 124 kg compared with healthy cows (P < 0.05). Protein content was slightly lower in cows affected by puerperal disease (P < 0.05), with no significant differences in milk yield, fat or lactose content, nor lactation persistency index. Parity and sire line still remained the primary determinants of variation in milk traits. The results can be used to support decision-making in herd health management and genetic improvement strategies aimed at enhancing cow longevity and production efficiency.

Apart from the roots, the bulb is the most important organ for plant development of the lily plant. In this experiment, the effects of mycorrhizal, vermicompost and promalin applications on the root architecture of Lilium oriental hybrid ‘Adelante’, a bulbous plant, were to be investigated. It was found that the effect of the treatments on root length (128.6 cm), root surface area (8 cm³), number of tips (111.5), number of forks (354.4) and number of crossings (86.2) was lower than that of the control. In terms of root volume, the applications of vermicompost (3 cm²) and promalin (3 cm³) were the most effective. The most effective application on root diameter (3.5 mm) was promalin. In conclusion, the effect on mycorrhizal root development was lower than the control but higher than other applications. In addition, machine learning (ML) algorithms, including linear regression (LR), sequential minimal optimisation for regression (SMOreg), Gaussian process (GP) and artificial neural network-based multilayer perceptron (ANN-based MLP), were used in the study. The input variables were evaluated for modelling and predicting root traits. The performance values of the ML algorithms were noted in the following order: LR > SMOreg > GP > MLP. These results have important implications for the prediction of root growth in lily crops.