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Navegando Ciências Agrárias por Assunto "9. Indústria, inovação e infraestrutura"
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- Trabalho de Conclusão de CursoAcesso aberto (Open Access)Influência do teor de gengibre nas características de uma bebida tipo ginger beer com extrato de malte e mel(Universidade Estadual do Norte do Paraná, 2026) Conter, Samuel Nielsen; Sachs, Luis Guilherme; https://orcid.org/0000-0002-9026-483X; http://lattes.cnpq.br/8396109344405837; Sachs, Luis Guilherme; https://orcid.org/0000-0002-9026-483X; http://lattes.cnpq.br/8396109344405837; Silva, Francisco Carlos Mainardes da; https://orcid.org/0009-0004-8008-620X; http://lattes.cnpq.br/9683269855531828; Rodríguez Linares, Diana; https://orcid.org/0000-0003-4983-667X; http://lattes.cnpq.br/7426834860297781The fermented beverage market has expanded with the use of unconventional additives to create products with innovative sensory characteristics. This study aimed to perform the physicochemical and sensory characterization of a ginger beer produced with malt extract and honey, evaluating the impact of adding aqueous ginger extract at three different concentrations: 2%, 4%, and 6% v/v. For this purpose, the samples were subjected to analyses of total soluble solids (°Brix), pH, foam stability, color, and sensory evaluation using a hedonic scale. The high ginger concentration (6%) exerted an inhibitory effect on the yeast, resulting in an early foam collapse in just 28 seconds, and also generated strong sensory rejection due to its excessive spiciness. On the other hand, the 2% formulation achieved the highest global acceptance, with an average score of 7.36. Therefore, the addition of 2% ginger seems to be the most technologically and commercially viable version according to our results, offering a balance between the freshness and the spicy notes of the rhizome without masking the organic attributes of the malt and honey, ensuring the integral stability of the final product.
- DissertaçãoAcesso aberto (Open Access)Variabilidade da cobertura com diferentes modelos de pontas de pulverização na cultura do milho(Universidade Estadual do Norte do Paraná, 2025) Silvério, Marcio Aparecido; Oliveira, Rone Batista de; https://orcid.org/0000-0002-3071-4827; https://lattes.cnpq.br/2379804514613050; Oliveira, Rone Batista de; https://orcid.org/0000-0002-3071-4827; https://lattes.cnpq.br/2379804514613050; Gandolfo, Marco Antonio; https://orcid.org/0000-0003-2314-3752; https://lattes.cnpq.br/5560552732033631; Antuniassi, Ulisses Rocha; https://orcid.org/0000-0002-3154-8664; https://lattes.cnpq.br/9754851029548502; https://lattes.cnpq.br/2379804514613050; https://lattes.cnpq.br/5560552732033631; https://lattes.cnpq.br/9754851029548502; https://orcid.org/0000-0002-3071-4827The quality of the application is directly related to the choice of the spray nozzle model and the leaf angle presented by the crop. Given the scarce literature on the subject, this study aimed to evaluate different spray nozzle models in terms of application coverage on corn leaves with vertical and horizontal angles in the plant. The experiments were conducted in both field and laboratory settings. Twelve spray nozzle models with different spray projection angles were analyzed: flat fan, pre-orifice flat fan, air-induction flat fan, deflector flat fan, dual flat fan, inclined-angle flat fan, and hollow and full cone nozzles. The application rate was standardized at 100 L ha−1, controlled by pressure, flow rate, and boom travel speed. The spray solution used in the applications was composed of a fluorescent orange tracer at a concentration of 2.5 g L−1. The field experiment followed a randomized block design with four replications, six plants per repetition, and three distinct crop stages (V5/V6, V7, and VT). In the laboratory experiment, a completely randomized design was used, with four replications and two artificial plants. After application, the leaves were detached, sectioned, and images were captured in a dark environment under ultraviolet light. The images were then automatically processed to quantify spray droplet coverage. Coverage was analyzed in the upper, middle, and lower regions of the corn plant and the artificial plant, as well as in the adaxial, abaxial, basal, middle, and apical regions of the corn leaves. The results were interpreted using a dendrogram, applying dissimilarity analysis techniques based on the Euclidean distance method and complete hierarchical clustering, considering the spray nozzle models and the coverage analysis locations. Experiments with targets or leaves positioned vertically showed greater variability among groups, resulting in less similarity between nozzles and the evaluated plant and leaf regions. In contrast, experiments with horizontal targets allowed for a better definition of the relationships between nozzles and coverage in different plant regions, indicating similar performance in specific regions such as the lower and middle sections. Coverage was well-defined in regions of lower variability (basal > middle > apical) and (adaxial > abaxial) compared to those with greater variability (whorl, upper, middle, and lower). Additionally, differences exist among nozzles within the same flat-fan and cone- jet classes, highlighting distinctions in nozzle models based on spray angle design, pressure, and droplet classification.