Search Results (110)

Equine piroplasmosis (EP) is a tick-borne disease caused by Theileria equi, Theileria haneyi and Babesia caballi. It affects equids, representing significant health and economic concerns for the equine industry. EP is endemic in Portugal, so developing and implementing preventive strategies is essential. Accessing veterinarians’ knowledge, attitudes and practices (KAP) through a survey is a suitable approach, and no such studies have been conducted in Portugal until now. A KAP survey was applied to 41 Portuguese equine vets, representing mainly the Alentejo region. The average knowledge score went from medium to high, correctly identifying the causative agents, transmission routes and clinical signs. Knowledge gaps mostly concerned the identification of T. haneyi as an agent, transplacental transmission, duration of infection and diagnostic methods. Reported practices were appropriate overall, including enhancing breeders’ awareness of the disease and its prevention. Diagnostic and treatment protocols were generally consistent with current recommendations; however, these protocols are not yet fully standardized. Our findings highlight key areas where increasing expertise is needed and could serve as a foundation for future evidence-based guidelines to improve EP control in Portugal. Full article

Moniliophthora roreri (MR, frosty pod rot) and M. perniciosa (MP, witches’ broom disease) pose critical threats to cacao production in Latin America. This study explores the biocontrol potential of Trichoderma spp. strains against these pathogens through exploratory analysis of mycoparasitism, chitinolytic activity, and volatile organic compound (VOC) production. Dual-culture assays revealed species-specific antagonism, but C2A/C4B showed a dual-pathogen efficacy (>93% of Monioliopthora inhibition). Chitinase activity revealed C4A/C1 strains as exceptional producers (72 mg/mL NAGA vs. MR and 94 mg/mL vs. MP, respectively). GC-MS analysis identified pathogen-modulated VOC dynamics: hexadecanoic acid dominated in 80% Trichoderma solo-cultures (up to 26.65% peak area in C3B). MP showed 18.4-fold higher abundance of hexadecanoic acid than MR (0.23%). In 90% of dual-culture with MR and MP, HDA was detected as the most abundant. Functional specialization was evident. C4A and C1 prioritized chitinase production growing on MR and MP cell walls (respectively), whereas C9 excelled in antifungal hexadecanoic acid synthesis in confrontation with both pathogens. Complementary strengths among strains—enzymatic activity in C4A/C4B versus volatile-mediated inhibition in C9—suggest niche partitioning, supporting a consortium-based approach for robust biocontrol. This study provides preliminary evidence for the biocontrol potential of several Trichoderma strains, showing possible complementary modes of action. Full article

Ascorbic acid (AsA) is an essential plant metabolite that acts primarily as an antioxidant, regulates cell division and elongation, and enhances stress tolerance. Despite its crucial physiological role, the biosynthesis of AsA in G. max, a major crop of significant commercial importance, remains largely unexplored. This gap highlights the need for a thorough investigation of AsA biosynthesis pathways and their role in optimizing the nutritional value and stress tolerance of soybeans. This study identified 41 key genes linked to four AsA biosynthesis pathways in G. max, highlighting specific gene duplications compared to Arabidopsis. Their expression levels were assessed by analyzing a diverse set of RNA-Seq data from the NCBI database. Additionally, to cross-validate the expression levels of genes and the accumulation levels of AsA in the principal tissues, G. max plants were grown under controlled conditions following the protocols from selected RNA-seq experiments. Genes associated with the D-mannose/L-galactose pathway exhibited ubiquitous expression, and the expression patterns of genes from alternative pathways reflected their responsiveness to specific tissues or environmental conditions. Germination and leaf development were accompanied by strong expression of gene members from all pathways, whereas leaf aging was characterized by downregulation. Specific gene members, such as GMP_2a (D-mannose/L-galactose pathway), GulLO_1f (L-gulose pathway), and MIOX_3a (Myo-inositol pathway) were highly stress-responsive and linked to stress-resistant genotypes and cultivars. Consistent with gene expression analyses, the quantification of AsA revealed the highest mass fractions in young leaves and germinating seeds. However, AsA mass fractions were significantly reduced or unchanged under stress conditions, depending on the type of stress and the duration of exposure. Overall, this study validated the relevance of AsA biosynthesis pathways in soybeans, highlighting key genes that could be targeted to enhance stress tolerance and improve ascorbate production, thereby boosting the nutritional value of soybeans. Full article

A major challenge for the viticulture and oenology sector is to understand the impact of climate change on grapevine agronomic performance and wine quality. Genetic variability offers a key tool for adaptation, as some grape varieties may better withstand changing conditions while maintaining wine quality. As part of the WineClimAdapt research project (PDR2020-101-031010), a study was conducted on the adaptability of 18 white grape varieties to hot and dry conditions in Portugal. These grape varieties from Herdade do Esporão (Alentejo, Portugal) were vinified in duplicate at the INIAV winery, the result being 36 wines. The wines underwent physicochemical and sensory analyses, including gas chromatography–mass spectrometry (GC-MS) and gas chromatography–flame ionization detection (GC-FID), to assess their composition and sensory profiles. Tasters evaluated the wines using a structured scale (0–10) and rated their overall quality (0–20). Results from analysis of variance (ANOVA) revealed significant differences in the physicochemical composition and sensory profiles of the wines. Notably, some white wines displayed high acidity, which is advantageous for hot regions. The study also highlighted clear varietal differentiation across physicochemical, volatile and sensory analyses. Among the tested varieties, “Cayetana Blanca” and “Fernão Pires” achieved the highest average quality ratings, indicating promising potential for future studies and adaptation to climate change. Full article

The border effect on heritage protection, shaped by historical and physical factors, contributes to the formation of socio-territorial systems, particularly in relation to productive landscapes. This study focuses on the Portuguese–Spanish border between Andalusia and Extremadura, a region where inter-regional dynamics mirror international tensions due to the coexistence of differing legislative frameworks. The area is characterized by shared agricultural and ecological systems and fragmented transport networks, which complicate territorial integration. Methodologically, the study involves a selection of seven municipalities based on demographic vulnerability and rural identity, followed by historical and spatial analysis using legal sources, historical dictionaries, and digital platforms for heritage mapping. One of the key components was the identification and documentation of historical mills linked to the Ardilla River and its tributaries, using a combination of official heritage databases and user-generated platforms like Wikiloc and local websites. The twenty-one mills found highlight a significant presence of unprotected yet generally well-preserved mills that exemplify the agricultural and industrial legacy of the region. These assets, often overlooked in formal inventories, underline the potential for cross-border heritage recognition and call for a rethinking of protection strategies through the lens of cultural landscapes and community engagement. Full article

The first official case of bluetongue virus serotype 3 (BTV-3) in Portugal was confirmed in sheep from the district of Évora in September 2024. Notably, mortality was observed in pregnant sheepdogs within the affected sheep flocks. This study presents four cases of pregnant dogs infected with BTV-3 in mid-September 2024, all of which aborted prior to death. BTV-3 was identified by RT-qPCR following initial positive results from pan-BTV RT-qPCR. The virus was subsequently isolated from the blood of one of the dogs in BHK-21 cells, and a partial sequence of the vp2 gene was obtained. This sequence showed 100% similarity to sheep BTV3/3234/PT2024, identified in Portugal in September 2024, as well as to BTV-3/NET2023, first reported in the Netherlands in 2023. These findings suggest that the viruses may be related or share a common origin. Co-infection with common canine viruses and pathogenic bacteria was ruled out, confirming that the fatalities were due to BTV-3 infection, probably by ingestion of sheep placenta after lambing. Our results confirm the potential for the transmission of BTV-3 to non-ruminant species, particularly carnivores, and, therefore, the wider ecological implications of this virus. In addition, the identification of transplacental transmission of BTV-3 in one of the dogs provides new evidence highlighting the complexity of the virus’ transmission mechanisms. Full article

Portugal exhibits a large deficit in cereals with an import/export ratio of about 18%. Alentejo is a southern vast plain region, which is the largest cereal producer in the country, with about 80% of the total cereal area. The region also shows a huge local energy deficit with a ratio of about 17% between spent and produced energy. In this context, this work used GIS modeling based on available digital geographical information on soil and topographic conditions in Alentejo for estimating optimal production areas of four main classes of cereal and legume classes, which were wheat, barley, oat/lupin, and triticale/broad bean. The estimated areas were validated by 199 sample points in the field and allowed to quantify a potential of bioenergy production from straw biomasses based on yields of biomass net calorific values of 18 MJkg⁻¹ and yields of 6, 9, 6, and 9 tons/ha for the four classes in the order indicated. The estimated areas allocated to the cereal and legume classes covered approximately four municipalities in the region. The total modeled area in Alentejo for the four cultivation classes was 44,980 ha. The results showed that even if 50% of the estimated total straw biomass produced was used for animal feed, the estimated bioenergy production of the remaining half biomass would be of about 2940 TJy⁻¹, or about 12.5% of the actual regional energy production, which is an energy amount able to supply 35 organic Rankine cycle (ORC) 2.5 MW cogeneration units and 347 boilers with 125 kW thermal power, delivering renewable electricity to the grid, and heating facilities as diverse as buildings, nursing homes, or horticultural greenhouses. More than 160 kton of CO₂ fossil emissions would also be avoided, delivering a contribution to mitigating effects of climate change. By contributing to the reduction of the large cereal dependence and the carbon emissions of the country, the proposed strategy would contribute to increasing the decentralized bioenergy production for applications in buildings and local facilities, significantly boosting the socio-economic dynamics of rural areas involved. Full article

Land use and land cover (LULC) studies, particularly those focused on mapping forest species using Sentinel-2 (S2A) data, face challenges in delineating and identifying areas of heterogeneous forest components with spectral similarity at the canopy level. In this context, the main objective of this study was to compare and analyze the feasibility of two classification algorithms, K-Nearest Neighbor (KNN) and Random Forest (RF), with S2A data for mapping forest cover in the southern regions of Portugal, using tools with a free, open-source, accessible, and easy-to-use interface. Sentinel-2A data from summer 2019 provided 26 independent variables at 10 m spatial resolution for the analysis. Nine object-based LULC categories were distinguished, including five forest species (Quercus suber, Quercus rotundifolia, Eucalyptus spp., Pinus pinaster, and Pinus pinea), and four non-forest classes. Orfeo ToolBox (OTB) proved to be a reliable and powerful tool for the classification process. The best results were achieved using the RF algorithm in all regions, where it reached the highest accuracy values in Alentejo Central region (OA = 92.16% and K = 0.91). The use of open-source tools has enabled high-resolution mapping of forest species in the Mediterranean, democratizing access to research and monitoring. Full article

Milk coagulants play a crucial role in defining curd characteristics. The objective of this study was to compare the coagulation dynamics of two commonly used coagulants in cheesemaking: cardoon flower extract (Cynara cardunculus L.) and commercial chymosin, using sheep milk from four different origins in the Baixo Alentejo region of Portugal, as the substrate. Milk composition was determined using the MilkoScan 133B, while the milk-clotting time (MCT) was measured following ISO 23058/IDF 199:2006 guidelines with slight modifications and coagulation kinetics, and technological properties were evaluated using the Optigraph apparatus. The results demonstrate that the type of coagulant impacts the coagulation properties of sheep milk. Pearson’s correlation analysis indicated that milk samples with higher protein content exhibited longer coagulation times but resulted in firmer curds. On the other hand, the use of cardoon flower extract introduced greater variability compared to chymosin, with a delayed onset of coagulation, reduced curd firmness, and increased variability in enzymatic kinetics. These results suggest that cardoon extract, while traditional, introduces greater heterogeneity in curd formation compared to the more consistent action of chymosin. Full article

The cork oak (Quercus suber L.) woodlands, known as montados in Portugal, hold significant economic, cultural, social, and environmental value. They are found in the Mediterranean Sea basin, particularly in the Iberian Peninsula, and sustain various activities like silvopastoralism, with cork being a primary product. Despite its economic significance, challenges such as climate change threaten its sustainability. This study aimed to analyze the edaphoclimatic variables affecting cork yield, thickness, price, and gross income in the Alentejo region of Portugal. A total of 35 farmers were selected for the data collection included in this study. Multivariable linear regressions were performed to establish relationships between cork yield, thickness, price, and gross income as dependent variables, various edaphoclimatic factors, and tree densities. A higher tree density correlates with an increased cork yield but a decreased cork thickness. Soil pH affects cork yield and thickness, with a lower pH favoring higher cork yields but thinner cork. A higher clay and silt content in horizon soil C enhances cork thickness and raises the price but reduces the cork yield. Higher accumulated precipitation and temperatures contribute to higher yields and thicknesses of cork. It is concluded that the relationships between the dependent and the independent variables are complex but partially explainable. Understanding these relationships is paramount to ensure sustainable management practices are adopted that are capable of addressing issues raised in the current context of climate change. Full article

The intensive use of pesticides contaminates soil and water, raising the risk of diseases like cancer and hormonal/neurological disorders. The continuous exposure to pesticides through water and food is concerning. Therefore, raising awareness about biological pest control is essential to reduce the harmful impact of pesticides on food and the environment. This study evaluates students’ literacy on pesticide use and its implications, focusing on three topics, pesticide use, disease prevention, and sustainability and health promotion. Thus, a questionnaire was drawn up and distributed to students of both genders, aged between 12 and 16 years old, from Alentejo (Portugal). The students were asked to indicate their agreement grade with statements related to key themes, such as pesticide use and consumer attitudes, healthy practices and disease prevention, and sustainability and health promotion. The cohort includes 1051 students, and the results suggest that environmental education and student awareness are crucial for promoting sustainable water resources and minimizing exposure to environmental and food pesticides. This study presents an Artificial Neural Network model, with its accuracy surpassing 90%, to assess students’ literacy on pesticide use and its implications. It also proposes a new approach to evaluate their potential for improvement, which is essential for developing educational strategies on health and the environmental impacts. Full article

Reference evapotranspiration (ET_o) is an important part of the water cycle, essential for climate studies, water resource management, and agricultural planning. However, accurate estimation of ET_o is challenging when meteorological data are insufficient or of low quality. Furthermore, in climate change studies where large amounts of data need to be managed, it is important to minimize the complexity of the ET_o calculation. This study presents a comprehensive approach that integrates data quality analysis with two calibration methods—annual and cluster-based—to improve ET_o estimates based solely on temperature data from a set of weather stations (WS). First, the quality and integrity of meteorological data from several WS were analyzed to reduce uncertainty. Second, the Hargreaves–Samani equation (HS) is site calibrated using two approaches: (a) annual calibration, where the radiation coefficient (k_Rs) is adjusted using a data set covering the entire year; (b) cluster-based calibration, where independent radiation coefficients are adjusted for clusters of years and months. The methodology was evaluated for the Alentejo region in Southern Portugal, using data from 1996 to 2023. When using the original HS equation with a k_Rs = 0.17 °C^−0.5, ET_o was estimated with errors from 14.9% to 22.9% with bias ranging from −9.0% to 8.8%. The annual calibration resulted in k_Rs values between 0.157 and 0.165 °C^−0.5 with estimation errors between 13.3% and 20.6% and bias ranging from −1.5% to 1.0% across the different weather stations. Calibration based on clusters of months and years produced unclear results. Dry season months showed better results using cluster-based calibration, while wet season months performed poorly regardless of the calibration approach. The results highlight the importance of meteorological data quality and site-specific calibration for refining temperature-based ET_o estimation methods, and for the region studied, the gains do not justify the increased complexity of the cluster-based approach. Full article

In September 2024, bluetongue virus serotype 3 (BTV-3) was first identified in Portugal, specifically in the Alentejo region (Évora District), using molecular diagnostic methods. The initial case involved a sheep exhibiting severe clinical symptoms, including head oedema, prostration, nasal discharge, and significant respiratory distress. A subsequent case was documented in another sheep from a different farm within the same district, which presented with high fever (41.5 °C), nasal discharge, and arthritis, ultimately resulting in mortality. Within one month of these initial detections, additional cases in both sheep and cattle were reported in neighbouring districts, indicating the virus rapid spread within the region. In response to this emerging threat, extensive monitoring efforts are being undertaken to delineate the distribution of BTV-3, and vaccination campaigns targeting this serotype have been initiated. These measures aim to mitigate the impact of the virus on livestock health and prevent further transmission. Full article

Background: Europe’s aging population presents challenges such as a shrinking labor force, pressure on health services, and increased demand for long-term care. This study assesses the functional profile, depressive symptoms, and quality of life of older adults in the Central Alentejo region of Portugal. Methods: A cross-sectional, descriptive study was conducted with a convenience sample of 868 older adults in Portuguese long-term care facilities across the Évora district. A structured questionnaire collected sociodemographic data, elderly nursing core set patient information, a health questionnaire with nine responses, and WHO Quality of Life Assessment (short version) scores. Results: Nearly half of the participants needed assistance with care. Women (OR = 1.46) and those with cognitive impairment (OR = 10.83) had higher impaired functionality, while education (OR = 0.52) and being overweight (OR = 0.52) were inversely related to functional dependence. Quality of life scores ranged from 56.4 (physical) to 66.6 (environmental). Moderate depressive symptoms were found in 17.1% of participants, with 9% having moderately severe to severe symptoms. Higher dependence doubled the likelihood of depressive symptoms (OR = 2.18). Discussion and Conclusions: High rates of depression and functional dependence correlate with a low perception of quality of life, highlighting the need for research to promote and protect the health of older adults. Full article

Background: Violence against health professionals is a global and growing problem, with significant impacts on the quality of care and the mental health of workers. Objectives: To analyze the level of knowledge, reporting practices and consequences of violence against health professionals in the Alentejo region (southern Portugal). Methods: This was an observational, cross-sectional study involving 440 health professionals (doctors and nurses). Data were collected using an online platform and a structured questionnaire created specifically for this study. In the statistical analysis, the data were described as counts and proportions and the X2 test was used considering a significance level of 0.05. Results: This study reveals that violence against health professionals in the southern region of Portugal is a frequent problem (40%), with a higher incidence among nurses (80%). Despite awareness of the existence and functioning of reporting channels, reporting is low (52%). The main causes are related to the health system, professionals and users. The consequences include mental health problems and a reduction in the quality of care provided. Suggested measures to combat violence include improving security, training and punishing aggressors. Conclusions: This study reveals that violence against health professionals in the southern region of Portugal is a frequent, under-reported problem with serious consequences for professionals and the quality of care. Full article