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This study aimed to evaluate the effects of dietary administration of peppermint (Mentha piperita) alone and in combination with southernwood (Artemisia abrotanum) on performance, body and carcass composition, physicochemical characteristics, and amino acid composition of breast meat in broilers under Eimeria challenge. A total of 160 14-day-old male broilers (Ross 308) were randomly assigned to four dietary groups: the control (C) group was fed a basal diet; the CC group received a grower diet containing the coccidiostat robenidine; the M group was fed the diets with the addition of 20 g peppermint/kg of diet; the MS group was fed the diets with the addition of 10 g peppermint + 10 g of southernwood/kg of diet. The addition of peppermint to the diet increased final live weight compared to the CC group (P < 0.05). The highest value of dressing percentage was found in the M group as compared to the CC group (P < 0.01) and C group (P < 0.05). Compared with the C group, a higher intramuscular fat content was found in the breast meat of broilers in both the M and MS groups (P < 0.01; P < 0.05, resp.). Concerning the colour of meat, lower values for yellowness b* and chroma C* characteristics were observed in the C group compared to the MS group (P < 0.05) and mainly to the M group (P < 0.01). In spite of the lower crude protein content (P < 0.05) in the meat of the MS group, the highest content of all essential amino acids (P < 0.05) as well as the total content of all assessed amino acids (P < 0.01) were found in the meat of the MS group, resulting in a considerable increase in the nutritional value of the breast meat proteins of these broilers.

Two probiotic (Lactiplantibacillus plantarum) supplementation strategies (continuous and cyclic) were evaluated for their ability to enhance resistance of rainbow trout (Oncorhynchus mykiss) to Aeromonas salmonicida infection. Neither of these strategies improved post-challenge survival. Instead, cyclic administration resulted in a significantly higher mortality rate (73%) compared with continuous supplementation (52%) and the control group (46%). One week post-challenge, most haematological, plasma biochemical, and immune parameters showed no significant difference between treatments, though fish receiving cyclic supplementation did exhibit a reduced lymphocyte count. However, three weeks post-challenge, this same group showed a significant decrease in total phagocyte number and in the proportion of phagocytes within white blood cells. IgM concentrations were significantly lower in both probiotic-supplemented groups than in the control group. In the cyclic group, reductions in interleukin-10 and elevations in total protein levels were also observed. Microbiome analysis of gut content three weeks post-challenge revealed a marked decline in microbial diversity in both probiotic-treated groups. These findings indicate that, under the experimental conditions, probiotic supplementation did not provide protection against A. salmonicida infection and that cyclic administration may disrupt immune homeostasis and intestinal microbial stability, ultimately compromising host resilience.

Mechanical sugarcane harvesting generates substantial material losses that are associated with the equipment age. This study evaluated the relationship between the harvester service life and the operational efficiency by analysing field losses and product contamination across machines with varying operational histories (1, 14, 16, and 17 years) in Chaiyaphum Province, Thailand, using a randomised complete block design. The results indicate that the 17-year-old machines exhibited 54% higher total losses (241.93 kg·ha^–1) compared to the newer equipment (156.90 kg·ha⁻¹). The field losses were attributed primarily to base cutting operations (36%) and roller mechanisms (34%), collectively accounting for 70% of the total losses. The contamination analysis revealed sugarcane tops as the predominant impurity source (57% The revenue loss analysis indicates excessive field losses from ageing equipment reducing the farm profitability by 12–18%. The non-linear relationship between the equipment age and performance demonstrates that maintenance practices significantly influence degradation patterns, providing critical insights for optimising mechanical harvesting systems.

This study aimed to evaluate the effects of dietary levels of soluble and insoluble fibre on the performance and digestive development of slow-growing broilers during the starter period. A total of 400 one-day-old Isa Label^TM male chicks were used that were distributed in a completely randomized factorial design 2 × 2 + 1 (inclusion of 2% or 4% of corncobs as a source of insoluble fibre IF and citrus pulp as a source of soluble fibre (SF); and a control treatment) with eight replicates of 10 birds each. The addition of IF to diets improved the weight gain and feed conversion of broilers at 7 and 21 days of age. Both fibre sources added to diets resulted in higher relative weights of proventriculus + gizzard, liver, small and large intestine. The diets containing an SF source presented positive effects on the duodenal mucosa. In addition, positive effects on the caecal villus to crypt ratio were observed in broilers fed diets containing different types of fibre. It is concluded that dietary inclusion of IF up to 4% maintains the performance, nutrient metabolism and improves the development of the proventriculus + gizzard in slow-growing broilers. However, for improving the morphological and histomorphological parameters of slow-growing broilers in the starter phase the addition of SF sources is recommended.

The grain filling and physiological traits of different phosphorus-tolerant rice cultivars and phosphorus fertiliser rates have not been fully studied. A pot-growth experiment with cv. Lianjing 7 (weak phosphorus tolerance) and cv. Yongyou 2640 (strong phosphorus tolerance) was conducted using four phosphorus rates, namely, 0 (P0), 0.44 (P1), 0.88 (P2), and 1.32 g/pot (P3). Results indicated that grain yield, net photosynthetic rate, soil and plant analyser development (SPAD) value, superoxide dismutase (SOD) and catalase (CAT) activity in leaves, and adenosine diphosphate glucose pyrophosphorylase (AGPase) and sucrose synthase (SuSase) activity in grains increased and then decreased with increasing phosphorus fertiliser rate, whereas malondialdehyde (MDA) content in leaves decreased first and then increased. The above indexes of cv. Lianjing 7 and cv. Yongyou 2640 were optimal at P2 and P1 treatments, respectively. The grain yield, net photosynthetic rate, SPAD value, AGPase content, SuSase content in grains, and SOD and CAT activity in the leaves of cv. Yongyou 2640 were higher, whereas the MDA content was lower than those of cv. Lianjing 7. Correlation analysis showed that AGPase and SuSase activity in superior and inferior grains, photosynthetic rate, and SOD and CAT activity in the leaves were significant or highly significantly positively correlated with grain-filling rate and rice yield. Therefore, the adoption of appropriate phosphorus fertiliser rates can increase the activity of enzymes related to starch synthesis in different phosphorus-tolerant rice, enhance antioxidant systems in leaves at the filling stage, reduce leaf MDA content, and delay leaf senescence. These effects are beneficial to grain filling and increase grain yield.

The Asian rice gall midge (Orseolia oryzae) (Wood-Mason) is a major pest of rice, significantly reducing yields and challenging sustainable rice production. This review provides a comprehensive overview of the biology, lifecycle and geographical distribution of the rice gall midge, along with the damage symptoms it causes in rice crops. The interactions between rice and gall midge, the pest's infestation mechanism and the plant’s defensive responses are also explored. Various management strategies are discussed in detail, including insecticides, cultural practices and resistant varieties. The review emphasises that breeding for resistance, especially through the pyramiding of resistance genes and integrated pest management approaches, shows the most promise for long-term control. Advances in crop improvement through breeding methods such as genotyping, phenotyping, field and greenhouse screening and the pyramiding of resistance genes are highlighted. The review emphasises the importance of monitoring virulence in gall midge populations to guide breeding efforts. The genetic basis of resistance is examined through studies of resistance genes, QTL mapping and marker-assisted breeding. Furthermore, molecular approaches, including metabolomic regulations, microarray analysis and biotechnological strategies, are reviewed for their potential in developing durable gall midge-resistant rice varieties. This article synthesises the current knowledge and highlights future research directions, such as identifying novel resistance genes, improving molecular breeding techniques, and developing integrated pest management strategies that combine genetic resistance with eco-friendly controls.

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.

In this study, two experiments were performed with the aim to optimize intensive aquaculture of largemouth bass (Micropterus salmoides). In the first 140-day experiment the effect of the initial fish density was assessed at three levels: low density (LD) 23 kg/m³, medium density (MD) 35 kg/m³ and high density (HD) 46 kg/m³. All three densities provided the same final Fulton's condition coefficient (FC = 1.24-1.28), specific growth rate (SGR = 0.22-0.24%/day) and survival rate (97-100%). No cannibalism was observed at all tested densities. Feed conversion ratio (FCR = 1.39 ± 0.21 g/g) was the lowest for LD and the highest (1.61 ± 0.08 g/g) for MD. The highest fish biomass (25.7 ± 2.7 kg/m³) was obtained at HD and this density was considered as the most effective density of all tested ones during the intensive culture of largemouth bass. The second 60-day experiment tested the effect of largemouth bass and pikeperch (Sander lucioperca) monoculture and biculture of both species on production efficiency. Higher size heterogeneity was obtained in both (mono- and bicultural) groups of pikeperch (308.91-314.56‰/day) compared to the groups of largemouth bass (279.26-284.05 ‰/day). The higher FC (1.09) was found in both types of culture in largemouth bass compared to both methods of culture in pikeperch (0.74-0.78). The lowest SGR was evident in both types of largemouth bass cultures (1.20-1.28%/day). In contrast, the highest SGR was achieved in the bicultural pikeperch (1.88%/day). Similar results like for SGR were also assessed for FCR, where the highest value of FCR was in both cultures of largemouth bass (1.44-1.48 g/g) compared to the lowest FCR in the bicultural of pikeperch (0.73 g/g). Largemouth bass in both tested types of culture had higher survival rates (99.95-99.99%) compared to pikeperch (98.61-98.63%).

This study compares soil temperature data collected between 2019 and 2022 in Hrušky, South Moravia, Czech Republic. Soil temperature was measured at five depths (5, 10, 20, 50, 100 cm) in the forest shelterbelt (windbreak) and at three distances from it to investigate the impact of the shelterbelt on the climatic conditions of adjacent field plots. In particular, monthly averages, calculated from average daily temperatures, were employed to characterise the temperature course. These are calculated as averages of measured temperatures at 15-minute intervals. Absolute and relative differences and, where appropriate, base indices, were calculated to facilitate the comparison of individual measurement points (sites) and soil depths. The soil temperature values and their dynamics during the year differ between the measurement point in the forest shelterbelt (90-0) and those in the field. Additionally, the field measurement points exhibit some degree of variation, with the more distant field measurement point (180-90) displaying distinct characteristics from the closer field measurement points (90-45, 90-90). During the winter months (December, January, February), the temperature increases with soil depth, being highest within the windbreak. In spring (February and March), the temperature at different soil depths starts to equalise; however, in April, the temperature decreases with soil depth. Throughout the summer, the measurement station within the windbreak has lower temperatures than in the field, where the soil shows higher temperatures at all depths compared to the windbreak measurement station. In August, the temperature differences in depth begin to equalise again. In September, the temperature trend reverses, and from October, the temperatures increase with soil depth, especially in the lower layers of the soil. The temperature trend in November has a more or less winter character. Soil temperatures in the forest shelterbelt are lower in the summer months and higher in the winter months than in the field. The protective effect of the windbreak is more pronounced at measurement stations closer to the belt, as the temperatures at the farthest field measurement station are higher in summer and lower in winter compared to the closer field measurement stations.

Environmental conditions are known to influence the dairy cow health, with most research focusing on the detrimental effects of heat stress. However, the impact of non-summer weather patterns in temperate climates on udder health carry-over between lactations is not well understood. This pilot study evaluated the effect of various weather factors (temperature, humidity, precipitation, sunshine) during 1-day to 90-day periods before dry-off on udder health in the first month post-calving (represented by somatic cell count, conductivity, lactose, and mastitis incidence) in 199 Holstein cows in Central Europe. The scope of the experiment was limited to one farm and one year of observations. Moreover, we also evaluated milk quality, milkability, and udder health parameters during the same periods before dry-off on udder health after calving. We aimed to identify viable indicators across available automatically collected data from weather stations and milking parlour analysers. We found that the long-term (30- to 90-day) exposure to colder temperatures, high humidity, and low sunshine duration before dry-off was significantly associated with worse udder health after calving. In contrast, short-term weather conditions (1- to 7-day) had no significant effect. Monitored milk quality and udder health parameters showed a significant relation to udder health after calving during the immediate periods before dry-off, while milkability parameters were insignificant. If lactose was decreased or protein content, conductivity, and somatic cell count were elevated during the 1- and 7-day period before dry-off, cows after calving showed worse udder health. These findings identify prolonged cold and damp conditions as a significant environmental risk factor for poor udder health in the subsequent lactation, expanding our understanding beyond the conventional focus on heat stress.

There is significant interest in the propagation of bananas due to their substantial global economic importance, which is why this study aimed to develop an efficient protocol for in vitro propagation through somatic embryogenesis (SE) of the ‘Manzano’ and ‘Pelipita’ cultivars. Immature male flower bud explants were used for embryogenic callus induction. The ‘Manzano’ cultivar showed a higher percentage of embryogenic callus induction than ‘Pelipita’. Stereomicroscopic observations revealed that the embryogenic callus was asynchronous, as various stages of somatic embryos were noted. White translucent pro-embryogenic callus was efficiently utilized to establish embryogenic cell suspension. The development of different stages in the regeneration process of embryogenic cell suspension was also recorded. Embryos in the late coleoptilar stage, characterized by an opaque white morphology, were selected and transferred to an appropriate medium to evaluate the germination percentage. We found that the germination rate was highly efficient for both cultivars, exceeding 90% when using these embryos in the selected stage. Additionally, we observed that embryos that were 90 days old showed a 10–12% increase in germination compared to those that were 60 days old, confirming the importance of embryo maturation duration and the selection of embryogenic aggregates through the sieving of suspended cells to optimize regeneration efficiency.

Recent advancements in remote sensing techniques, especially the combination of hyperspectral imaging with analytical algorithms, have greatly improved precision agriculture. This study introduces some algorithms developed for identifying crops and evaluating their growth conditions, focusing on irrigation and fertilisation. The present approach is based on the concept of identifiability of a family of dynamic systems and the differentiation of plants using their spectral signatures. The method uses a repository of spectral data and applies a developed algorithm to compare the measured spectra with the reference database, enabling the identifiability and the recognition of both known and unknown crops. As an application of our approach, we have considered two different crops: mint and rosemary, under different irrigation and fertilisation conditions. The results show that the algorithm achieved a 100% identification rate across the four unknown samples. The minimum spectral distances obtained are 0.01 and 0.03 for rosemary and mint, respectively. Thus, the family of systems was identifiable with a tolerance of η < 0.03. The study concluded that the algorithm effectively classifies the crop type and deduces its growth conditions, demonstrating its effectiveness for agricultural monitoring.

This study evaluated the effects of hybrid, vegetation period duration, weather conditions, and harvest timing on sugar beet (Beta vulgaris L.) yield and technological quality under short-rotation cropping systems in the Western Forest-Steppe of Ukraine. Field experiments were conducted in 2022–2024 on commercial fields using six industrial hybrids and five harvest intervals from late September to mid-November. Root yield, sugar content, sugar yield, α-amino nitrogen, K⁺ and Na⁺, invert sugars, and the technological quality index (Iq) were assessed using ANOVA, correlation analysis, and principal component analysis (PCA). Extending vegetation from 185 to 200 days increased root yield by 11–12% and sugar yield by 0.8–1.2 t/ha. The optimal harvest window (10–25 October) provided the highest performance, with root yields of 68–73 t/ha, sugar content of 16.2–16.6%, and sugar yields of 14.6–16.3 t/ha. Early harvest resulted in reduced sugar content and Iq, whereas harvesting after 10 November did not increase yield and caused deterioration of technological quality due to elevated α-amino nitrogen and molasses-forming ions. PCA showed that over 85% of the total variation was explained by technological quality and moisture-related factors. Strube hybrids demonstrated greater stability under extended vegetation compared with KWS hybrids. These results define an optimal harvest window for maximising sugar beet productivity and quality under temperate meteorological conditions.

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.

The rhizosphere plays an important role in both farmland and urban areas, affecting water quantity and quality during surface water infiltration by increasing the heterogeneity of the aeration zone. The extensive application of antibiotics, their recalcitrance to degradation, and the resultant accumulation of antibiotics in soil-microbe-plant systems represent significant threats to the rhizosphere system, thereby threatening ecological stability and environmental and human health. This review synthesises recent findings on the migration and transformation of typical and common antibiotics within the rhizosphere. The main findings include that the absorption of antibiotics by plants is influenced by their molecular weight (MW) and octanol-water partition coefficient (log K_ow), allowing antibiotics to be divided into three classes: (1) antibiotics with high lipophilicity (log K_ow > 2) are mostly adsorbed by root lipids and rarely participate in the soil-plant transport process; (2) antibiotics with log K_ow < 2 and high MWs (MW > 700) are blocked outside the plant roots; and (3) antibiotics with log K_ow < 2 and low MWs (MW < 700) can enter plants through the roots and are transported via transpiration flow in plants. Antibiotics with log K_ow < 1 are more easily transported into plant tissues, including leaves. The rhizospheric microorganisms capable of participating in antibiotic migration and transformation are concentrated in Actinobacteria, Firmicutes, Proteobacteria, and Bacteroidetes. The inhibitory effect of antibiotics on dehydrogenase, sucrase, urease, catalase, and alkaline phosphatase activities surpasses their promoting effect, reducing these enzyme activities by 6–35% on average. However, the promoting effect of antibiotics on peroxidase, acidic phosphatase, and manganese peroxidase outweighs the inhibitory effect, increasing enzyme activity by 2–23%. Furthermore, it is essential to consider the effects of plant age and root characteristics on antibiotic migration and transformation. The results of this review contribute to a better understanding of the migration and transformation of antibiotics within the rhizosphere.

Mastitis is a complex, common and economically problematic issue in dairy cattle production. In this study, breast cancer 1 (BRCA1) and toll-like receptor 1 (TLR1) genes were taken as candidate genes for mastitis resistance. This study investigated whether BRCA1 and TLR1 genes were associated with milk production traits (daily milk yield, fat, and protein content) and somatic cell score (SCS). A total of 105 cows (25 Holstein, 48 Simmental, and 32 crossbred Holstein) were genotyped using the PCR-RFLP method. Cows with the BRCA1 c.46126G>T GG genotype had significantly lower SCS than the other genotypes. The TLR1 g.60438363C>T SNP influenced the protein content in all cows, with genotype CC having a higher content than TC. The same SNP in the Simmental breed showed that cows with the CC genotype had significantly higher SCS than the heterozygote. Cows with the GG genotype of TLR1 g.60437324A>G had significantly lower SCS and higher fat and protein content than the heterozygote. The results of this study indicate that BRCA1 c.46126G>T and TLR1 g.60437324A>G SNPs could be useful for improving mastitis resistance in dairy cattle through marker-assisted selection.

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.

The intensification of agricultural practices in Bangladesh has caused significant environmental challenges. This has also undermined farmers' economic sustainability, mainly due to the excessive use of subsidised chemical fertilisers. To address these issues and align with the United Nations Sustainable Development Goals (SDGs), Bangladesh has prioritised the adoption of sustainable farming practices, including the recommended fertiliser application (RFA). However, whether the adoption of RFA ensures economic sustainability remains uncertain. This study evaluates how the Bangladesh Rice Research Institute's (BRRI) proposed RFA affects fertiliser use and cost-efficiency. Drawing on five years (2017–2021) of panel data from 2 025 households across three acidic soil regions in Dinajpur, the findings reveal that RFA adoption reduces fertiliser use by 12% while improving cost efficiency by 4.9–5.1%. These results highlight the potential of RFA to mitigate environmental degradation while enhancing economic outcomes, thereby supporting the SDG agenda. In light of these benefits, the study offers key insights for policymakers and development practitioners, emphasising the need for targeted interventions to accelerate RFA adoption and promote sustainable agriculture.

Premature ovarian failure (POF) is a significant cause of infertility and is often linked to autoimmune aetiologies. Lipopolysaccharide (LPS)-induced inflammation is a well-established model of autoimmune POF in rodents. Immunomodulatory treatments involving corticosteroids, frankincense, and targeted secondary antibodies have been hypothesised to mitigate the autoimmune response, reduce anti-ovarian antibody (AOA) levels, and restore ovarian function in an LPS-induced POF rat model. A POF model was established in female albino rats via the intraperitoneal injection of LPS. The rats were then divided into groups that received no treatment (LPS control), dexamethasone (DEX-treated LPS-treated rats), methylprednisolone (MP-treated LPS-treated rats), frankincense (Frankincense-treated LPS-treated rats), or secondary anti-ovarian antibodies (secondary Ab-treated LPS-treated rats) for 3 to 4 weeks. The serum levels of AOA, 17β-oestradiol, follicle-stimulating hormone (FSH), and luteinising hormone (LH) were assayed via commercial enzyme-linked immunosorbent assay (ELISA) kits. Ovarian tissues were examined histopathologically to assess structural damage and recovery. LPS induction successfully created a POF phenotype, as evidenced by significantly elevated AOA levels (P < 0.001), reduced 17β-oestradiol (P < 0.001), elevated FSH/LH (P < 0.001 and P < 0.05, respectively), and severe histopathological damage, including follicular atresia. All the treatments restored 17β-oestradiol levels. Secondary antibody therapy was most effective, normalising all hormonal parameters, significantly reducing AOA levels, and demonstrating complete histological recovery with healthy follicles and corpora lutea. MP potently suppressed AOA but paradoxically elevated FSH, without improving ovarian histology. DEX and frankincense showed intermediate efficacy, improving some hormonal and serological markers but failing to achieve full histological restoration. These findings demonstrate that targeted immunotherapy using secondary antibodies is superior to broad immunosuppression or anti-inflammatory treatment for restoring ovarian function in patients with autoimmune POF. While corticosteroids effectively reduce AOA titres, they may not reverse ovarian damage and can disrupt the hormonal balance. This underscores the need for precise, biomarker-guided therapies over nonspecific immunosuppression in patients with autoimmune ovarian insufficiency.

Rainfall is a major contributor to water erosion of sloping cropland in Northeast China. Identifying how rainfall and slope gradient (S) influence runoff depth (RD) and sediment yield (SY) is crucial for preventing water erosion. Field measurements from runoff plots were collected from 2023 to 2024, and K-means clustering was applied to clarify the rainfall patterns. Response of RD and SY to the rainfall pattern and S were analysed. Key factors impacting RD and SY were explored. The results showed that three rainfall patterns were identified for 34 erosive rainfall events: A (41.2%, medium duration, medium rainfall intensity, and medium rainfall amount (RA)). B (50.0%, short duration, high rainfall intensity, and low RA) and C (5.4%, long duration, low rainfall intensity, high RA). Furthermore, the cumulative RD and SY increased with S for the same rainfall pattern. The cumulative RD and SY responded similarly to rainfall patterns for the same S. The contribution of the rainfall pattern to the cumulative RD and SY decreased in the order of C, A, and B. In addition, rainfall duration (D) and maximum 30-minute rainfall intensity were the key factors affecting RD and SY for rainfall pattern A, respectively. Rainfall erosivity (R) was the key factor affecting RD and SY for rainfall pattern B and C. R and RD were the dominant factors influencing the RD and SY for all rainfall events, respectively.

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

Manganese (Mn) is often underestimated in plant nutrition. Its availability to plants is influenced by several factors, which can lead to Mn deficiency or toxicity. The objective was to evaluate the transformation of soil Mn over 21 years in a long-term field experiment. Fertilising with (i) sewage sludge 1 (SS1); (ii) sewage sludge 3 (3 times higher nitrogen (N) dose, SS3); (iii) farmyard manure (FYM); (iv) mineral nitrogen, phosphorus and potassium (NPK) and (v) mineral nitrogen in addition to straw (Nst) was studied to evaluate the transformations of Mn in soil using different extraction methods at the 5 locations. There was a general reduction in the pH during the experiment. Soil acidification caused by mineral N fertiliser increased the bioavailable Mn forms under NPK treatment. This Mn was mobilised from soil reserves, leading to depletion of Mn sources. Application of SS and FYM led to an increase in non-bioavailable Mn fractions, while the expected increase in biologically available Mn was not observed. As the high pH of soil limits Mn availability, foliar Mn application can be recommended for agricultural practice in high-pH soils. On the contrary, liming can be recommended for low-pH soil with high bioavailable Mn content to mitigate the risk of Mn toxicity.

The genetic characterisation of naturally occurring almond genotypes can guide the selection of genetic resources to be used in the breeding programme. Therefore, this study aims to assess the genetic diversity and population structure of almond germplasm comprising 50 accessions naturally occurring in Van, Türkiye, along with two commercial varieties (Pabuç and Dokuzoğuz). Thirteen inter-primer binding site (iPBS) retrotransposon markers generated a total of 102 bands, of which 95 were polymorphic. The average polymorphic band number per marker was 7.3, with a range of 5 to 13. A formula yielding a maximum of 0.5 resulted in polymorphic information content (PIC) values between 0.27 and 0.43, with a mean value of 0.36. Unweighted pair group method algorithm (UPGMA), principal coordinate analysis (PCoA), and STRUCTURE analysis, based on Bayesian clustering analysis, yielded consistent results, indicating that local populations (Akdamar and Çarpanak) were distinctly grouped, while commercial accessions were clustered with Çarpanak accessions. The diversity metrics and classification analysis utilising 13 iPBS-retrotransposon markers demonstrated that the iPBS-retrotransposon marker system possesses significant promise for evaluating the genetic variety and population structure of almonds.

Near-Infrared (NIR) spectrometry has emerged as a promising tool for the non-destructive and rapid analysis of temperate fruit quality, maturity, and other parameters. The technique provides a wealth of information, including details of chemical composition, without damaging the fruit, making it a highly viable alternative to traditional methods. This paper reviews the recent research and applications of NIR spectrometry for fruit evaluation, highlighting its strengths and potential limitations. The analysis shows a significant potential for NIR spectrometry, especially when combined with machine learning and artificial intelligence to handle complex data and improve predictive models. The development of portable NIR spectrometers allows for in-situ quality assessment, expanding its applicability to various fields including on-site quality control. Despite the benefits, this review identifies key challenges including spectral complexity, fruit variability, and the influence of the external environment. Recommendations for future research include focusing on improving calibration and validation of models, increasing predictive accuracy, and developing user-friendly instruments. In addition, standardization of measurement procedures and analytical methods is needed to ensure comparability and reproducibility of results. Further research is needed to fully realize the full potential of NIR spectrometry in fruit quality control.

Conventional irrigation practices result in a substantial amount of water loss with okra cultivation. Although micro-irrigation can address this issue by delivering water directly near the rootzone, it requires manual operation. These issues, however, can be resolved with the introduction of a smart micro-irrigation system. This study aims to develop a smart micro-irrigation system for okra, in conjunction with the sub-components of drip irrigation, a microcontroller, and a soil sensor. The experiment was laid out with a randomised complete block design (RCBD) having three treatments: (i) control irrigation (T₁), (ii) drip irrigation (T₂), and (iii) smart micro-irrigation (T₃). The experimental field was irrigated based on soil moisture regimes in the crop rootzone. The plant growth, yield, and water use efficiency were assessed to evaluate the system. The results showed no significant differences among these treatments (at P < 0.05). The best water usage efficiency (15.98 kg·m^–3) was observed in the T₃ treatment, which also provided about 13.10% water savings compared to the conventional irrigation. This study indicates that a smart micro-irrigation system could be a promising technology for water-efficient okra cultivation.

Current dietary patterns in developed countries, characterised by high intakes of processed and animal-source foods, are linked to increased obesity and diet-related non-communicable diseases, as well as environmental burdens. This paper investigates determinants of red meat, white meat, and fish consumption across five European countries, using representative survey data from over 10 000 individuals. Our findings reveal that men consume more red meat and fish than women, though, when adjusted for body weight, women consume significantly more white meat and fish. While vegetarians are mostly people younger than 35 years, meat eaters in the same age category tend to eat more red meat than older people. Cross-country differences highlight the need for localised policy approaches. Individual values also shape dietary choices. Security-oriented people prefer red meat, while altruistic individuals consume less of it. Biospheric values, while strongly associated with being vegetarian, show no significant association with meat or fish intake. To reduce red meat consumption, policies should highlight health benefits of eating less meat, with messages tailored to specific demographic groups. Additionally, enhancing meat alternatives' affordability, taste, and appearance is essential for promoting dietary shifts.

This study investigates advancements and trends in Fleckvieh breeding research using the Web of Science Core Collection database to collate articles published since 1994. Through CiteSpace 6.4.R1, we conducted systematic analyses to visualise research trajectories, identify seminal domains, and delineate emerging patterns. Our methodology encompassed publication profiling, scientific collaboration network mapping, co-citation analysis, and keyword co-occurrence/clustering techniques. The findings reveal that the current research frontiers focus on: Genomic applications in genetic selection, Reproductive efficiency optimisation, Environmental adaptability mechanisms, Thermotolerance management strategies, Cross-disciplinary methodological integration. Germany, Czech Republic, Austria, and Switzerland emerged as leading contributors, with institutions including the Technical University of Munich and University of Natural Resources and Life Sciences, Vienna, demonstrating a particular scholarly influence. Knowledge mapping effectively delineated thematic concentrations and temporal evolution patterns, providing actionable insights for future research prioritisation. The field is progressing towards holistic, interdisciplinary frameworks underpinned by robust international consortia. This work introduces novel analytical perspectives to refine breeding protocols and enhance practical implementation.

Reliable indicators of early soil biological change remain limited in tropical agroecosystems, where soil organic carbon (SOC) stocks may respond more slowly than microbial processes. We evaluated whether seasonal vegetation dynamics derived from Sentinel-2 fractional vegetation cover (FVC) are associated with spatial variation in SOC stock and microbial indicators in Jembrana, Bali, Indonesia. We mapped seasonal FVC from 2019 to 2024 and derived site-level metrics of mean cover and temporal variability (standard deviation, anomaly, coefficient of variation, and a temporal stability index). In July 2023, we sampled topsoil (0–30 cm) at 12 sites representing contrasting land uses and topographic settings. We calculated SOC stock from organic carbon concentration, bulk density, and sampling depth, and measured basal respiration and culturable microbial density (colony-forming units, CFU). Vegetation cover peaked consistently during the wet season (December to February), and mean site FVC ranged from 0.31 to 0.99. Mean FVC showed positive but non-significant associations with culturable microbial density (Spearman’s ρ = 0.48, P = 0.114) and basal respiration (ρ = 0.29, P = 0.361), whereas higher vegetation variability metrics tended to coincide with lower culturable microbial density (ρ = –0.43 to –0.51, P = 0.090 to 0.163). SOC stock showed near-zero coefficients and no statistical evidence of association with vegetation metrics (ρ = 0.09, P = 0.781) or microbial indicators (ρ = 0.01, P = 0.975). Principal component analysis of FVC traits explained 99.65% of the variance and separated sites along a gradient from stable, high cover to more variable, lower cover. Overall, FVC stability metrics captured spatial differences that were directionally consistent with microbial indicators, but associations were not statistically significant in this dataset (n = 12). Larger, replicated studies with repeated soil sampling are required to evaluate whether seasonal FVC metrics have robust predictive utility for SOC stock and soil biological indicators.

Diarrhoea in newborn piglets represents a significant challenge to pig production. Controlled oral exposure, also known as “feedback”, whereby sows are exposed at least two weeks before farrowing to pathogens that cause health problems in piglets, is a traditional method of diarrhoea prevention. One type of feedback involves fermenting cow’s milk with faeces from piglets suffering from diarrhoea and administering it to sows before farrowing. The bacterial composition of the faecal inoculum and fermented milk was compared in this study, and the safety of administering the fermented milk to pregnant sows was evaluated. Using microbiota characterisation by 16S rRNA gene sequencing, the genera Acetobacter, Lactobacillus and Lactococcus formed the core microbiota of the fermented milk. However, Clostridium perfringens accounted for up to 33% of the total microbiota in some fermented milk samples. Interestingly, the drop in pH during the later stages of fermentation inactivated C. perfringens and the samples were thus enriched for inactivated C. perfringens antigen. Our findings contribute to a better understanding of the mode of action of fermented milk when used as a form of feedback.

Tree-ring analysis is a valuable tool for understanding long-term climate patterns and their influence on tree growth. This study investigates the climate–growth relationships of Khasi pine (Pinus kesiya Royle ex Gordon) in Doi Khuntan National Park, northern Thailand (at elevations of 850 to 1 035 m a.s.l.), to reconstruct past climate and inform forest management. Using 48 cross-dated increment cores, we developed an 83-year chronology (1936–2018). Standard dendrochronological methods and regression models were applied. The radial growth of P. kesiya was primarily influenced by moisture availability, showing significant positive correlations with March rainfall (r = 0.39, P < 0.01) and April–July relative humidity (r = 0.45, P < 0.01). Growth was negatively correlated with April–July mean temperature (r = –0.47, P < 0.01), indicating that warmer wet seasons induce stress. False-rings served as complementary intra-annual drought proxies, linked to cool-dry transitional periods. Multiple regression models explained 40.6% of radial growth variance and 65.6% of false-ring frequency variance. Reconstructed climate series revealed significant warming trends since the 1930s, most pronounced in April extreme minimum temperature, which increased by +0.98 °C over the study period (Mann-Kendall test, P < 0.01). These findings highlight the vulnerability of montane pine forests to increasing temperatures and atmospheric dryness, providing a multi–proxy baseline for climate change adaptation.