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Changes in the agricultural management and climatic changes within the past 25 years have had a serious impact on soil organic matter content and contribute to different carbon storage in the soil. Prediction of soil carbon pool, validation, and quantification of different models is important for sustainable agriculture in the future and for this purpose a long-term monitoring data set is required. RothC-26.3 model was applied for carbon stock simulation within two different climatic scenarios (hot-dry with rapid temperature increasing and warm-dry with less rapid temperature increasing). Ten years experimental data set have been received from conventional and organic farming of experimental plots of Mendel University School Enterprise (locality Vatín, Czech-Moravian Highland). Average annual temperature in this area is 6.9°C, average annual precipitation 621 mm, and altitude 530 m above sea level. Soil was classified as Eutric Cambisol, sandy loam textured, with middle organic carbon content. Its cumulative potential was assessed as high. Results showed linear correlation between carbon stock and climatic scenario, and mostly temperature and type of soil management has influenced carbon stock. In spite of lower organic carbon inputs under organic farming this was less depending on climatic changes. Conventional farming showed higher carbon stock during decades 2000-2100 because of higher carbon input. Besides conventional farming was more affected by temperature.

Despite the recognised benefits of climate smart agriculture (CSA) in enhancing farmers' adaptive capacity to climate risks, adoption rates remain low in Sub-Saharan Africa. This disparity can be attributed, in part, to the significant challenges smallholder farmers face in accessing credit from the formal financial sector. In response, Rural Saving and Credit Cooperatives (RUSACCOs) have emerged as crucial sources of funding for both household expenses and agricultural activities. However, despite their increasing importance in improving financial inclusion, little is known about whether participation in RUSACCOs can help alleviate existing credit constraints and promote the adoption of CSA among smallholder farmers. To address this knowledge gap, we employ a recursive bivariate probit (RBP) and propensity score matching (PSM) analysis using data from 400 randomly selected smallholder farmers in Zambia. The analysis controls for three main sources of endogeneity: program placement, endogenous covariates, and self-selection. Our findings indicate that participation in RUSACCOs has the potential to mitigate farmers' credit constraints by 42% and facilitate CSA adoption by 25%. Notably, the alleviation of existing credit constraints is associated with a 14% increase in CSA adoption. These results underscore the previously overlooked role of RUSACCOs in promoting agricultural sustainability. By effectively addressing financial inclusion barriers and providing access to practical agricultural knowledge, RUSACCOs can contribute to reducing the vulnerability of agriculture while fostering sustainable production. Our study suggests that repurposing RUSACCOs to emphasise financial inclusion and promote access to agricultural learning platforms can yield triple benefits: agricultural, environmental, and livelihood sustainability.

Soil degradation resulting from illicit coca cultivation and unsustainable grazing practices poses a major challenge to ecosystem restoration in the Peruvian Amazon. This study evaluates the potential of fast-growing tree species to rehabilitate degraded soils while producing economically valuable timber. Monoculture plantations of Corymbia torelliana (eucalyptus), Calycophyllum spruceanum (capirona), Colubrina glandulosa (shaina), and Cedrelinga cateniformis (tornillo) were established on former coca and pasture lands in the Alto Huallaga Valley. We assessed tree growth and key soil physicochemical properties – including soil organic matter (SOM), bulk density (BD), pH, extractable phosphorus (P), and cation exchange capacity (CEC) – in topsoil (0–10 cm) and subsoil (10–40 cm) layers. Eucalyptus and tornillo showed the highest diameter growth, while tornillo plots had significantly higher SOM levels. Soil pH was strongly acidic across all plots, and subsoil P was lowest under tornillo. CEC was highest in eucalyptus and capirona plots. Our findings suggest that tree plantations, particularly with eucalyptus, capirona, and tornillo, represent a viable strategy for the sustainable use and rehabilitation of soils formerly used for coca cultivation and grazing.

The research was conducted in 2014–2017 in a multi-cultivar apple orchard in the Experimental Orchard of the National Institute of Horticultural Research (IO-PIB) in Dąbrowice near Skierniewice. To determine the actual Venturia inaequalis ascospores release dates, the Burkard spore trap installed in a plot of the McIntosh cv. that was not protected against apple scab was used. Monitoring of ascospore releases was carried out annually, starting from the appearance of numerous colouring (maturing) ascospores in the pseudothecia (usually in the second decade of March) and ending at the second half of June, usually about two weeks after the last release of these spores. The sums of ascospores detected on a given day and their proportion in all ascospores recorded during primary infections were calculated. The obtained results formed the basis for the analysis of forecast indications of the A-scab, Metos (Metos® Pessl Instruments), and RIMpro-Venturia models in connection with meteorological data from the Metos weather station installed in this orchard and to compare them with the actual release dates recorded by the Burkard spore trap. Depending on the year, significant differences were found in the number and intensity of V. inaequalis ascospore releases and in their beginning and end dates.

The current erosion protection set up in the Czech Republic (CZ) is based on the long-term soil loss due to water erosion using the Universal Soil Loss Equation (USLE). The range of recommended values of tolerable soil loss by water varies among different authors and approaches, depending on the specific area and its parameters. It is, therefore, important to ask the following questions. What is the real range of soil loss by water erosion in CZ. To determine the range of soil loss, a model extrapolation was carried out. The model extrapolation was based on the results from two main experimental measurements. Both from the evaluated volume soil loss of real erosion events and field experiments based on measurements of erosion induced by artificial rainfall. The results of modelled extrapolation of the range of long-term soil loss are in the range 6.9–13.8 t/ha per year.

Soil compaction has negative impacts on plant productivity. Degradation of soil structure as a result of soil compaction can inhibit the development of plant roots and make it difficult for plants to take up water and nutrients. This can negatively affect plant growth and productivity. Compaction restricts plant root growth by increasing mechanical resistance, reducing oxygen uptake, and thus reducing crop yields as it inhibits plant development. In this study, the effects of soil compaction due to machinery traffic on the physical structure of soil, morphological characteristics and yield of spinach were investigated in Tokat, where vegetable farming is intensively practised. In the study, four different tractor traffic treatments [C – zero tractor traffic (control), T1 – 1 tractor traffic, T3 – 3 tractor traffic, T5 – 5 tractor traffic] were used. As traffic increased, the penetration resistance, bulk density, and porosity increased, and the lowest volume weight was obtained from the control treatment. Plant weight losses in T1, T3 and T5 treatments compared to the control treatment were 1.92%, 31.09% and 64.64%, respectively. The yield value, which was 62.0 t/ha in the C treatment, was determined to be 31.8 t/ha in the T5 treatment, representing a 48.70% decrease. The proper use of modern agricultural machinery plays an important role in preventing soil compaction and increasing plant productivity.

Allelopathic plants release phytotoxic compounds that contribute to their invasiveness by suppressing nearby species. However, it remains unclear which exact mode of action (MOA) underlies the allelopathy. This study explores the allelopathic mechanisms of Turnera subulata on the recipient indicator plant choy sum using a metabolomics approach. Briefly, T. subulata leaf aqueous extracts (LAEs) at different concentrations (0.0, 0.1, 1.0, 10.0, 50.0, and 100.0 mg/mL) were sprayed at 100 mL/m² on choy sum seedlings at the two to three leaf stage. After 21 days, the Soil Plant Analysis Development (SPAD) values and photosynthetic pigments of the exposed choy sum were measured, and their metabolites were subjected to a gas chromatography-mass spectrometer (GC-MS) analysis. The results revealed a 25% decrease in the SPAD, a reduction of 65% (chl a) and 71% (chl b), and a 45% reduction in the stomatal length at 100 mg/mL. A total of 15 significant metabolites (P < 0.05) with variables important for the projection score exceeding 1 (VIP > 1) were selected as the important biomarkers. These metabolites were identified as amino acids, carbohydrates, and fatty acids. The findings reveal the allelopathic potential of T. subulata and provide insights into the response of choy sum in response to the allelopathic activity of T. subulata LAEs.

Organic seed coating is an alternative method for supporting sustainable agriculture. This study investigates the influence of organic coating and seed storability on cucumber seeds using atmosphere-controlling techniques. The seeds were coated with an organic formulation, and a non-coated seed was used as a control. All samples were then packed using modified atmosphere packaging, including normal air, 100% N₂, and 100% CO₂, and stored under ambient conditions (30 ± 2 °C) for 8 months. Results indicated that the organic seed coating did not significantly affect seed germination compared to the non-coated seeds (P > 0.05) throughout the storage period. Moreover, the coating tended to positively influence seedling growth, including root and shoot lengths, seedling growth rate, chlorophyll content, and total phenolic content. Additionally, seeds packed with 100% CO₂ showed a slight impact on seedling growth compared to those in normal airbags, but this modified atmosphere packaging technique tended to increase chlorophyll a and b, as well as the total phenolic content in seedlings. Conversely, seeds packaged with 100% N₂ tended to decrease seedling lengths. Therefore, cucumber seeds coated with an organic formulation and packed in a 100% CO₂ bag can enhance seedling growth parameters during germination and extend seed storability.

With the increase in the life expectancy of domestic animals and their increasingly affectionate relationship with their owners, it is possible to observe an increase in cases of neoplasms in these animals. Mammary neoplasia mainly affects older females who have not been castrated, due to hormonal dependence for the development of the tumour. The main form of treatment is surgery. This study aims to carry out an updated review on mammary neoplasms in female dogs covering the anatomy, physiology, prevalence, causes, diagnoses, treatments, prevention and prognosis, based on scientific articles by renowned researchers.

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.

In 2007, the Chinese government introduced a temporary corn storage policy targeting four regions: Heilongjiang, Jilin, Liaoning and Inner Mongolia. This policy aimed at stabilising grain markets and ensured farmers' income by providing price support for corn. Its implementation significantly impacted corn prices and the regional distribution of corn cultivation, offering a valuable case for analysing the economic outcomes of China's agricultural policies. This study adopts the adaptive expectations hypothesis to explore the policy's effects, focusing on its influence on farmers' price expectations (mean) and price volatility (variance). Using a Spatial Durbin Model (SDM), we empirically investigate the policy's dynamic regional impacts on corn planting areas. The results show that the temporary corn storage policy significantly increased corn planting areas in the targeted regions, while simultaneously reducing planting areas in non-targeted regions due to negative spatial spillover effects. At the national level, the policy had no statistically significant impact on total corn planting areas, indicating that abolishing the policy alone is unlikely to rationalise or optimise the agricultural planting structure.

Stem rot disease poses a significant challenge in passion fruit production, necessitating the identification of resistant genes for the development of stem rot resistant varieties. In this study, we conducted artificial inoculation of Fusarium solani on leaves of two passion fruit varieties, ‘Huangjinguo’ and ‘Ziguo 7’. Leaf samples were collected at 0 h, 24 h, and 48 h post-inoculation for RNA-sequencing (RNA-seq) analysis, and 3 370, 4 464, and 3 974 differentially expressed genes (DEGs) were identified at these stages. Gene Ontology (GO) analysis revealed associations with functions such as response to reactive oxygen species (ROS), response to hydrogen peroxide, and protein complex oligomerisation. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis highlighted the enrichment of DEGs in the phenylpropanoid biosynthesis pathway, including genes such as ZX.06G0025070, ZX.01G0064640, ZX.04G0011040, ZX.05G0011380, all implicated in lignin biosynthesis. Weighted gene co-expression network analysis (WGCNA) identified three modules significantly associated with passion fruit stem rot resistance. Network analysis highlighted ZX.08G0013660 as the gene with the highest connectivity in these modules, featuring a leucine-rich repeat domain. Reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) analysis further validated ZX.08G0013660 and other genes as potential candidates for passion fruit stem rot resistance. Overall, genes related to ROS, phenylpropanoid biosynthesis and leucine-rich repeat domain protein likely play critical roles in passion fruit stem rot resistance. This study provides new insights for breeding passion fruit varieties resistant to stem rot disease.

The teak bee-hole borer [Xyleutes ceramica (Walker, 1865)] is considered one of the most serious pests of teak (Tectona grandis) in Thailand. The present study investigates climatic and topographic variables affecting the infestation of teak trees by X. ceramica in 10 plantations and predicts the risk of infestation by the species under current and future climatic conditions in Thailand. At each plantation, 48 plots evenly distributed among twelve teak stands were sampled. The infested teak trees in the plots were assessed, and the coordinates of the tree positions were recorded. The maximum entropy (MaxEnt) model was used to assess the effects of environmental factors and predict the occurrence probability of the species using current and projected (2050) climate data based on the Shared Socioeconomic Pathways SSP1-2.6 and SSP5-8.5 scenarios from multiple global climate models. According to our results, high accuracy values [AUC (area under the curve) = 0.852, TSS (true skill statistics) = 0.775] of the model prediction were obtained, and the infestation was found to be driven much more by climate than by topographic characteristics. Above all, X. ceramica was found to prefer moderate temperatures in a highly distinct seasonal climate. Additionally, relatively low amounts of premonsoon rainfall are also found to be favoured by the species. The predicted risk map revealed that the northern region is the core area of X. ceramica infestation in Thailand under current and future climatic conditions, but the severity of infestation is predicted to gradually decrease under the predicted future climatic conditions. Recommendations for management to minimise tree damage caused by X. ceramica are also presented in this study.

Legumes are promoted in agroecosystems for their ability to fix atmospheric nitrogen (N), thereby reducing or eliminating the need for N fertilisation while also contributing N-rich organic residues, which non-legume species can subsequently utilise. In phosphorus (P)-poor soils, certain legumes appear to access less available forms of P, converting them into organic P and facilitating its use by non-legume species. This study evaluated seven legume species/cultivars and one grass species (as a control) in a trial conducted in low-fertility soils under four different growing conditions (location × year). The objective was to investigate the role of legumes in P and other nutrient uptake and accumulation in plant tissues. Some lupins and broad beans accumulated up to 30 kg/ha of P in their biomass, even without accounting for P in the roots. Calcium (Ca) and magnesium (Mg) concentrations in plant tissues were also significantly higher in legumes than in grass. In addition to concentrating certain nutrients in their tissues, legumes produced substantially more biomass due to their access to atmospheric N, resulting in considerably higher nutrient accumulation. Ca and Mg in some legumes exceeded 100 and 40 kg/ha in aboveground biomass, respectively, whereas in grasses, they remained below 4 kg/ha. Thus, when legumes are cultivated as green manure, these nutrients are returned to the soil in organic form, which can subsequently become available to non-legume crops through the mineralisation process of the organic substrate. Therefore, cultivating legumes not only enhances N availability for other species but also improves the cycling of other essential nutrients.

Autism spectrum disorder (ASD) is a group of human neurodevelopmental disorders with significant global prevalence. Deficits in social communication and interaction and repetitive, stereotyped patterns of behaviour characterise ASD. The aetiology of ASD is unclear, but several genetic and environmental risk factors, either alone or in combination, are implicated in its development. To date, the underlying pathogenic mechanisms of ASD remain incompletely understood due to its heterogeneity. To better understand the pathogenesis of ASD, various animal models have been developed. The use of animals in ASD research allows the exploration of the biological substrates of social behaviour, cognition, and reward sensitivity, which are key components of ASD symptoms. This review outlines the commonly employed animal models in ASD research and explores their applications and the associated challenges.

The brown rot of apple and stone fruits caused by Monilinia fructigena is a widespread disease causing serious losses in fruit production. The most common way the pathogen spreads is via airborne conidia. Therefore, air samplers can effectively monitor its occurrence. In this study, we have conducted a comparative sampling of two cheap air samplers – rotorod spore traps called ROTTRAP 52 and AMETRAP. An optimised quantitative real-time PCR assay with a hydrolysis probe evaluated samples. 14 concurrent samplings were positive in all cases, showing higher spore counts in almost all AMETRAP samples obtained under various weather conditions. The daily maximum air temperature was the only significant meteorological variable positively affecting the recorded spore counts. Both rotorod samplers are an efficient and economic option for horticulturists and researchers for M. fructigena air inoculum monitoring.

Carpomyia vesuviana Costa, a fruit fly species, is a major pest affecting the jujube (Ber). This monophagous insect pest causes significant economic losses in regions where the jujube is cultivated. Hence, the present study was conducted to provide a detailed morphometric and molecular analysis of C. vesuviana across various Indian regions, specifically Tamil Nadu, Punjab, and Rajasthan. Morphometric measurements were conducted for various developmental stages, from the egg to adult. The overall mean length and width of the egg were 0.61 mm and 0.18 mm, respectively, and the fully grown maggot measured 6.19 mm (length) and 1.91 mm (width). The length and width of the prepupa and pupa were 7.67 mm and 1.64 mm, and 4.00 mm and 1.72 mm, respectively. The overall mean length of the female whole body and wing expanse measured 4.74 mm and 3.92 mm, respectively. The overall mean male whole body length and wing expanse were 4.19 mm and 3.56 mm, respectively. The results of the Principal Component Analysis (PCA) revealed that the maggot's length at different stages, pupa length, and egg width were the main contributors to the variability, particularly in the samples from Rajasthan. Additionally, the adult female fly's morphometric traits, such as the wing and thorax measurements, showed regional variations, with the PCA highlighting Punjab's alignment with larger head and abdomen traits. The molecular analysis based on PCR and sequencing of the COXI–COXII region confirmed the species identity. The nucleotide sequence of C. vesuviana from Tamil Nadu and Punjab was deposited in GenBank as PQ198003.1 and PQ198005.1 which had nearly 99% genetic similarity with two sequences NC_071721.1 (Beijing, China) and MT121231.1 (Beijing, China) submitted in the NCBI database. A phylogenetic analysis further demonstrated that the Tamil Nadu and Punjab populations were closely related to an Iranian sample, while samples from other countries, such as the C. schineri.

Water deficit is one of the most important abiotic factors limiting crop yields. To better understand the link between carbohydrate balance and drought stress response in strawberry plants (Fragaria vesca), we monitored by liquid chromatography the carbohydrate status in leaves during exposure to drought of different duration and intensity as well as subsequent recovery. In two greenhouse experiments that differed in the rate of reaching the target water deficit, strawberry leaves showed osmotic adjustment, with gradual increases in glucose and fructose content, likely provided by observed starch degradation. At the point of the most severe stress, proline content increased, while stress markers, such as malondialdehyde content and chlorophyll fluorescence, showed no significant changes. It indicates the defence mechanisms’ ability to protect cellular structures effectively. Strawberry, a member of the Rosaceae family, motivated us to investigate the role of sorbitol in the stress response. However, we found no sorbitol in any stress or control situations. Finally, testing sorbitol’s ability to support strawberry plant or non-green callus growth in vitro did not indicate that sorbitol could be used as a carbon and energy source. In conclusion, strawberries exhibit marked changes in soluble carbohydrate and starch content as an efficient defence against drought, without apparent involvement of sorbitol.

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

The growing demand for vegetables free from pesticide residues has fuelled the search for sustainable pest management solutions. This study assessed the efficacy of azadirachtin, a neem-derived biopesticide, in achieving no detectable pesticide residues in tomato production under open-field conditions. The experiment, conducted from April to September 2024, included a systematic application and residue analysis using liquid chromatography-mass spectrometry (LC-MS). The results showed that azadirachtin degraded rapidly, with residual levels in leaves, green fruits, and mature fruits falling below the detection threshold (0.01 mg/kg) after 8–10 days following treatment. The statistical analysis revealed strong time-dependent residue dissipation, with little systemic buildup in fruit tissues. The findings suggest that azadirachtin is a viable, environmentally friendly alternative to synthetic pesticides, aligning with food safety requirements and customer preferences for pesticide residue-free fruit. Future research should investigate the ecological factors that affect degradation rates to optimise its application in diverse agro-climatic conditions.

Multifunctional landscapes, such as agroforestry, that improve soil health are essential in sustaining terrestrial life by supporting various ecosystem services (ESs). However, decision-making often requires more attention to soil health because its parameters have no market value. In this study, we aim to evaluate soil health parameters in cacao agroforestry and monoculture and their degradation due to erosion and to estimate their indirect use value (IUV). We develop a soil health economic valuation approach bridged by ESs because the economic valuation of ESs tends to be better studied. We estimated the IUVs of the eight soil health parameters by using the direct proxy revealed prevalence valuation method on the basis of the valuation of the four ESs they support: water regulation, climate regulation, nutrient retention and biodiversity. The total IUVs for cacao agroforestry were USD 633 with Endoaquepts and USD 723 with Dystrudepts and for cacao monoculture were USD 415 with Endoaquepts and USD 575 with Dystrudepts. Soil carbon has the highest contribution to IUV, followed by soil nitrogen. Agroforestry not only increases IUV but also minimises its decrease due to erosion. Despite economic valuations being subject to uncertainty, these results encourage the internalisation of soil health values in sustainable land management design.

This study investigates the impact of various molecular weights (MWs) of fulvic acid (FA) on maize growth, grain yield, and nutrient uptake under different nitrogen levels (NLs). A 2 × 3 balanced design was employed, with high (0.2 g N/kg) and low (0.05 g N/kg) NLs, and three FA MW ranges (W1 ≤ 3 000 D, 3 000 < W2 ≤ 10 000 D, W3 > 10 000 D) were applied at 25 mg/kg in soil. Significant interactions between NLs and FA MWs were observed in chlorophyll a/b ratio, nitrate reductase and glutamate dehydrogenase activities, nitrogen content, and nitrogen uptake efficiency. Overall, under different NLs, FA application reduced chlorophyll a/b ratio, increased nitrogen metabolism enzyme activities, promoted maize growth, and thereby improved grain yield and nitrogen fertiliser uptake efficiency. Additionally, the promotion effect of low MW FA on these indicators outweighed that of high MW FA, yet the latter exhibited a more pronounced effect on increasing grain nitrogen concentration. Structural equation model analysis revealed direct effects of chlorophyll content, nitrogen accumulation, nitrogen uptake efficiency, NLs and FA MWs on maize grain yield, with FA MWs negatively impacting yield.

Iris × germanica L. (bearded iris) is a popular ornamental plant with numerous commercially important cultivars; however, little is known about the genetic diversity and population structure of the species, as limited DNA markers have been explored. In this study, 34 722 expressed sequence tag (EST)-simple sequence repeat (SSR) loci were identified from RNA sequencing data. The most abundant SSR motifs belonged to the tri-nucleotide type, of which the most common were AGG/CCT followed by AAG/CTT. Overall, 50 primer pairs derived from these EST-SSRs were randomly selected and synthesized, and 22 primer pairs with good polymorphism effects were used for the following experiment. Correlation analysis of nine floral traits showed that most floral traits had significant correlations with each other. Association analysis between SSR molecular markers and nine floral traits showed that 11 EST-SSR markers were associated with 3–6 floral traits. The cluster tree constructed by using the unweighted pair group method demonstrated that the cultivars that had the same parents or similar colour were clustered together. The genotypic relations of most cultivars were consistent with their pedigree-based relationships. The EST-SSR loci identified in this study will facilitate the exploitation of genetic resources and molecular breeding of I. × germanica.

Knowing the relationship between forest soil properties and their stand conditions is relevant for the sustainable exploitation and management of forest soils. This study examines the influence of stand environmental factors on soil properties within forest environments. We further assessed the spatial variability of these soil properties and their controlling factors. A harmonised soil database on the entire forest areas of the Czech Republic was considered; however, only 851 sampling points with complete data on soil properties was used out of the more than 8 thousand sampling points in the database. The topsoil mineral layer of 0–30 cm was analysed. Principal component analysis was used to determine the relationships between the forest soil properties and their stand controlling factors. The nugget ratios for the semivariograms and cross-variograms were used to evaluate the spatial dependence of soil properties, and their relevant controlling factors. Forest types influence soil reaction and the availability of cations within the topsoils. Phosphorus is influenced by aluminium and cation exchange capacity. There are higher concentrations of total phosphorus and aluminium under broadleaved forest.

Bactrocera cucurbitae, commonly known as the melon fruit fly, stands as a formidable threat to global agriculture, particularly in the cultivation of cucurbitaceous crops. The adaptability, high reproductive capacity, and broad host range of B. cucurbitae make it a persistent challenge for growers worldwide. Conventional control methods, often reliant on chemical pesticides, pose environmental and ecological concerns, necessitating the exploration of alternative strategies for sustainable pest management. Invasive plants often exert deleterious effects on ecosystems, and the castor bean plant, Ricinus communis, is no exception. To explore the efficacy of R. communis, a methanol extract was tested to find the toxicity effect against B. cucurbitae. In this study, different bioactive compounds were isolated from R. communis. The crude extract of R. communis was subjected to fractionating using different organic solvents in an increasing order of polarity, where the fraction indicating maximum activity was then taken for the isolation of the bioactive compounds using various chromatographic and spectroscopic techniques such as column chromatography, thin layer chromatography (TLC), gas chromatography-mass spectrometry (GC-MS). The concentrations of R. communis extracts at 0.5, 1.0, 1.5 and 2% methanol were used. Pure methanol was used as the control. The experimental conditions were maintained at 28 + 20 ºC and 65 + 5% relative humidity. The experiment was laid out in a complete randomised design having five replications. A probit analysis was used to find the LC50 and LC90. The results showed that, as the concentration of the plant extracts increases, the mortalities of B. cucurbitae also increased. After a 72 h exposure period, the crude extracts exhibited the lowest LC50 at 0.30% and LC90 at 0.60%. This study investigates the potential of methanolic extracts derived from various parts of R. communis to serve as a biopesticide against B. cucurbitae which can be easily available, economically feasible, socially acceptable and environmentally friendly.

Crop residue management is a major concern in agricultural ecosystems. These residues can be recycled into biochar and compost to efficiently promote soil organic carbon (SOC) storage in farmlands. However, the influences of straw and its derived materials on SOC (especially on humus fractions) in soil aggregates of varying sizes are largely unknown. To understand these effects, a nine-year field experiment was conducted on calcareous black soil, including five treatments: CK – no fertiliser; NPK – mineral nitrogen, phosphorus, and potassium fertiliser; NPKS – NPK + straw; NPKC – NPK + compost, and NPKB – NPK + biochar. Compared to CK and NPK, the NPKS and NPKC treatments resulted in a noticeable rise (P < 0.05) in the proportion of aggregates with > 0.25 mm size (R0.25), as well as in the mean weight diameter and geometric mean diameter at 0–20 cm depth. The NPKS, NPKC, and NPKB treatments significantly (P < 0.05) increased the contents of large macroaggregates (> 2 mm), small macroaggregates (2~0.25 mm), microaggregates (0.25~0.053 mm), and non-aggregates in the 0–20 cm soil layer, as well as the levels of SOC, humic acid carbon (HAC) and humin carbon (HUC). These treatments also significantly (P < 0.05) enhanced organic carbon storage in the topsoil (0~20 cm). The effects were more pronounced after NPKB treatment relative to NPKS. Compared to CK, the application of mineral fertilisers alone and combined with organic materials significantly (P < 0.05) improved crop yields. The study’s results indicate that the application of organic materials from corn significantly (P < 0.05) enhanced both soil quality and corn yield, with straw-derived biochar showing better effects on soil carbon sequestration.

This study investigates the characteristics associated with the adoption of smart farming technologies in Turkish agriculture. By surveying 325 farmers across six regions in Türkiye, the research identifies key attributes influencing adoption patterns. Four distinct profiles emerge: technology users, non-users, young educated female farmers, and traditionalists. Exploratory findings from Multiple Correspondence Analysis (MCA) indicate that attributes such as agricultural insurance, credit utilisation, knowledge of smart farming systems, and tractor ownership are commonly observed among technology users. Ordinal logistic regression further quantifies these associations, highlighting the significant role of financial accessibility and knowledge dissemination in shaping adoption likelihoods. Non-users, on the other hand, are characterised by smaller landholdings, lack of credit use, limited awareness, and absence of tractor ownership, reflecting structural barriers to adoption. Tailored financial solutions and shared machinery parks could help address these challenges. Empowering young, educated women farmers, identified as a key demographic for innovation, offers an opportunity to catalyse broader technology adoption. By addressing knowledge gaps and fostering inclusive policies, this study provides actionable insights to accelerate the technological transformation and sustainability of Türkiye's agricultural sector.

Lithium (Li) plays a significant role in human physiology and psychology; however, it is non-essential for plants. The extensive use of Li in industrial processes and battery-powered devices poses a potential global threat to living organisms. This study assessed the impact of varying soil Li concentrations (0, 20, 40, 60, and 80 mg/kg) on carrot (Daucus carota L.) plants. Results revealed that Li concentrations exceeding 40 mg/kg soil had detrimental effects on carrot growth. Compared to 0 mg/kg soil, Li concentrations of 60 and 80 mg/kg reduced shoot fresh biomass by 51% and 82%, respectively, and root fresh biomass by 68% and 89%, respectively. Elevated Li levels in the soil also increased hydrogen peroxide (H₂O₂) content in shoots and triggered enhanced activity of antioxidant enzymes, including superoxide dismutase (SOD) and catalase (CAT). Additionally, soil Li disrupted the uptake and translocation of essential nutrients such as potassium (K) and calcium (Ca) from roots to shoots. This study concludes that while low Li levels may elicit a positive response in plants, higher concentrations significantly impair growth and could contribute to the accumulation of Li in the food chain.

Corrigendum in: J. For. Sci. 2026 Feb 27;72(2):106. doi: 10.17221/16/2026-JFS

The response of forest trees to bark beetle attack involves substantial changes in terpene content, which varies between resistant and non-resistant species. Terpenes serve as crucial chemical defences against pests, and their production can be influenced by prior attack history, water stress, and biotic interactions. Moreover, the effectiveness of terpenes in resisting bark beetle attack is influenced by their chemical composition. Different tree species produce different types and amounts of terpenes that can affect their overall resistance levels. In conifers, acyclic and cyclic monoterpenes and sesquiterpenes were significantly present in all samples. Acyclic monoterpenes, ketones, aldehydes, monocarboxylic acids and their esters, and aromatic and cyclic compounds have been identified in beech. A statistically significant decrease of compounds in infested trees was determined in pine (cis-β-ocimene, neo-allo-ocimene, terpinene-4-ol, and δ-cadinene), and fir (acetophenone, benzonitrile, phenol, and zonarene). In addition, increased benzaldehyde production was observed. However, in infested beech trees, only increased production of some aliphatic and aromatic compounds (2-butanone and 3,5-octadien-2-one, 2-methyl-4-pentenal and 2,4-hexadienal, octanoic acid, nonanoic acid, 3,4-dimethyl-2,5-furandione, acetophenone, benzeneacetaldehyde, 2-ethyl-1H-pyrrole, β-ionone-5,6-epoxide, β-cyclocitral, and geranyl acetone) was found. We investigated the changes in the terpene composition of surviving trees in bark beetle-infested stands of beech (Fagus sylvatica), pine (Pinus sylvestris), and fir (Abies alba). Our data showed that the distribution of different groups of volatile compounds varied according to the tree species.

This study investigated the pathophysiology of polycystic ovarian syndrome (PCOS) and evaluated the protective effects of various treatments in immature female Wistar rats (N = 48). The rats were divided into 6 groups: Olive oil injection (negative control, G1); testosterone propionate (TP)-induced PCOS (G2); probiotic + TP (G3); myo-inositol (myo-ins) + TP (G4); U. dioica extract + TP (G5); W. somnifera extract + TP (G6). The body weight, body weight gain, and percentage gain were measured weekly and then transformed using the base-10 logarithm (log₁₀). TNF-α, IL-4, IL-10, and IL-17 were weekly measured using ELISA kits. Glutathione peroxidase (GSH-Px), superoxide dismutase (SOD), and catalase (CAT) were analysed in the serum and liver extracts. The W. somnifera significantly reduced the TNF-α levels (P < 0.01). The probiotic and myo-ins significantly elevated the IL-10 levels (P < 0.01). Both plant extracts moderately restored the IL-10 levels. The probiotic and U. dioica administration significantly reduced the IL-17 levels (P < 0.01). The W. somnifera administration also decreased the IL-17 levels, though the effect was less pronounced than that of U. dioica. The probiotic, myo-ins, and W. somnifera groups exhibited enhanced CAT activity (P < 0.05). W. somnifera showed significant increases in the SOD and GSH-Px activities (P < 0.01), showing the most dramatic improvement. The use of these four treatments as a monotherapy in this study resulted in different changes. Therefore, further investigation is necessary to evaluate the protective effects of combining duos or trios of these treatments against this disease.