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  <title>DSpace Communidade:</title>
  <link rel="alternate" href="http://repositorio.ufc.br/handle/riufc/21982" />
  <subtitle />
  <id>http://repositorio.ufc.br/handle/riufc/21982</id>
  <updated>2026-06-12T00:04:14Z</updated>
  <dc:date>2026-06-12T00:04:14Z</dc:date>
  <entry>
    <title>Efeito residual e tempo de exposição à abamectina em Aceria guerreronis Keifer: implicações do uso de adjuvantes em campo</title>
    <link rel="alternate" href="http://repositorio.ufc.br/handle/riufc/86739" />
    <author>
      <name>Moura, Wesley da Silva</name>
    </author>
    <id>http://repositorio.ufc.br/handle/riufc/86739</id>
    <updated>2026-06-11T23:17:38Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Título: Efeito residual e tempo de exposição à abamectina em Aceria guerreronis Keifer: implicações do uso de adjuvantes em campo
Autor(es): Moura, Wesley da Silva
Abstract: Controlling Aceria guerreronis Keifer in coconut crops is a challenge for producers, as the growth of colonies on bracts protects them from contact with acaricides. Therefore, control depends on the contamination of mites during their dispersal by the residual effect of applied products, and the addition of adjuvants can improve this effect, even prolonging it. This study aimed to determine the contamination time of the commercial product VERTIMEC® 18 EC (Abamectin) on A. guerreronis to cause mortality and to evaluate the effect of adding adjuvants on its residual time in the field. For the bioassay for exposure time and mortality in the laboratory, experimental arenas with leaflet fragments (2x4 cm) were immersed in VERTIMEC® 18 EC (300 ml/ha) and control (distilled water) treatments, and left to dry exposed to air for 20 minutes. Then, 30 larger A. guerreronis individuals were transferred and exposed to waste for 15 min, 30 min, 60 min, and 120 minutes. After each time point, the mites were transferred to a new experimental arena with a fragment without product, and mortality was evaluated after 12 hours. For the residual time bioassay in the field, 4 plants were sprayed with the following treatments: Negative control (water only), Positive control (VERTIMEC® 18 EC (300 ml/ha)), VERTIMEC® 18 EC + Silwet 0.25% v/v, and VERTIMEC® 18 EC + Speed ​​Oil 0.25% v/v. Leaflets were collected at 24h, 72h, and 144h after spraying to set up the experimental units. Thirty of the largest A. guerreronis individuals were transferred, and mortality was assessed after 12h. For the contamination time bioassay, the mortality rate differed significantly between treatments (χ² = 82.33; df = 4; p &lt; 0.001), with the 120-minute treatment showing significantly higher mortality than all others. For the field bioassay, the Vertimec and Vertimec + Speed ​​Oil treatments, 144 h after application, showed a significant difference in mortality (χ² = 16.50; df = 2; p &lt; 0.001), where the VERTIMEC® 18 EC treatment showed significantly higher mortality than the control (p = 0.005), while VERTIMEC® 18 EC + Speed ​​Oil did not differ from the control (p = 0.447). For the VERTIMEC® 18 EC + Silwet AG treatment, the mortality rate differed significantly between treatments 24 h after the interval (χ² = 28.34; df = 1; p &lt; 0.001), showing significantly higher mortality compared to the control, a result corroborated by the Wilcoxon rank-sum test (W = 34.5; p &lt; 0.001). However, 72 hours after the date, no statistically significant difference was detected in the mortality rate between the control (χ² = 3.68; df = 1; p = 0.055). Abiotic factors such as rainfall can influence the persistence of products with different bases in ways that are not yet fully understood, especially when they occur less than 24 hours after the explosion, weakening the efficiency of the applications. However, more studies are needed to understand how the interaction between the spray solutions and these factors occurs, so that strategies can be developed to mitigate it .
Tipo: TCC</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Contribuição do business intelligence para a gestão da remuneração variável em uma distribuidora de alimentos</title>
    <link rel="alternate" href="http://repositorio.ufc.br/handle/riufc/86738" />
    <author>
      <name>Maia, Vanessa Batista</name>
    </author>
    <id>http://repositorio.ufc.br/handle/riufc/86738</id>
    <updated>2026-06-11T23:01:45Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Título: Contribuição do business intelligence para a gestão da remuneração variável em uma distribuidora de alimentos
Autor(es): Maia, Vanessa Batista
Abstract: The use of Business Intelligence (BI) as a decision-support and management solution has become increasingly popular within organizations operating in today's market. However, there remains a notable scarcity of studies on the application of BI in the management of variable compensation. This research seeks fulfill this gap by analyzing the contributions of implementing this technology in conjunction with variable compensation within a food distribution company. The primary objective of this study was to evaluate how BI contributed to optimizing the calculation of variable compensation in the organization, using a qualitative descriptive approach based on interviews and document analysis, conducted in a large-scale food distribution company located in Aquiraz, covering the entire state of Ceará. The results revealed that, prior to the adoption of BI, the commission calculation system—the variable compensation model previously in use—exhibited multiple limitations, resulting in payment delays and increased errors, while rendering communication between departments and commercial staff inefficient, leading to distrust among sales representatives and challenges in management. With the introduction of BI, new key performance indicators (KPIs) were incorporated into the process, ensuring greater accuracy and equity in the distribution of variable compensation, which is now tied to standardized earnings. The intelligence tool implemented was Power BI, which enabled the automation of calculations, the clear visualization of results, and support for real-time strategic decision-making. The analysis of the results demonstrated significant improvements in the company’s strategic alignment, a substantial increase in employee trust, greater transparency in team performance outcomes, and improved efficiency in the processes of calculating and paying variable compensation
Tipo: TCC</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Phenotypic stratification of corn stunt tolerance in a tropical public maize panel reveals contrasting extreme phenotypes</title>
    <link rel="alternate" href="http://repositorio.ufc.br/handle/riufc/86737" />
    <author>
      <name>Lima, Thiago de Oliveira</name>
    </author>
    <id>http://repositorio.ufc.br/handle/riufc/86737</id>
    <updated>2026-06-11T22:53:34Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Título: Phenotypic stratification of corn stunt tolerance in a tropical public maize panel reveals contrasting extreme phenotypes
Autor(es): Lima, Thiago de Oliveira
Abstract: Corn stunt is one of the most important diseases affecting maize (Zea&#xD;
mays L.) production in tropical regions of the Americas and is caused by&#xD;
a complex of pathogens transmitted by the corn leafhopper (Dalbulus&#xD;
maidis). The quantitative nature of tolerance to this disease, combined&#xD;
with strong environmental effects and heterogeneous infection&#xD;
pressure under field conditions, poses major challenges for the&#xD;
identification and selection of superior genotypes. The objective of this&#xD;
study was to perform phenotypic stratification of corn stunt tolerance in&#xD;
a tropical public maize panel in order to identify extreme phenotypes&#xD;
and support future genomic analyses. A total of 360 inbred lines were evaluated under natural infection using three complementary traits:&#xD;
sanity score in survivor plants, proportion of survivor plants, and whole&#xD;
sanity score. Substantial phenotypic variation was observed among&#xD;
lines, with continuous trait distributions, confirming the quantitative&#xD;
inheritance of corn stunt tolerance. Phenotypic stratification allowed&#xD;
the identification of highly tolerant and highly susceptible genotypes,&#xD;
indicating the presence of favorable allelic combinations within the&#xD;
evaluated germplasm. The proposed approach proved effective for&#xD;
characterizing genotype responses to corn stunt and provides a robust&#xD;
phenotypic foundation for extreme phenotype–based genome-wide&#xD;
association studies, in addition to contributing to the identification of&#xD;
potential parental lines to be used in breeding programs, contributing to&#xD;
maize breeding efforts aimed at improving tolerance to insect-vectored&#xD;
diseases in tropical environments.
Tipo: TCC</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Lei de responsabilidade fiscal e os municípios cearenses: análise dos gastos com pessoal de 2019 a 2023</title>
    <link rel="alternate" href="http://repositorio.ufc.br/handle/riufc/86736" />
    <author>
      <name>Almeida, Antonia Viviane Nunes de</name>
    </author>
    <id>http://repositorio.ufc.br/handle/riufc/86736</id>
    <updated>2026-06-11T21:07:52Z</updated>
    <published>2024-01-01T00:00:00Z</published>
    <summary type="text">Título: Lei de responsabilidade fiscal e os municípios cearenses: análise dos gastos com pessoal de 2019 a 2023
Autor(es): Almeida, Antonia Viviane Nunes de
Abstract: The Fiscal Responsibility Law (LRF) aims to promote responsible management of public&#xD;
finances by establishing limits for expenditures and rules for fiscal transparency. One of its key&#xD;
provisions imposes restrictions on personnel expenditures in order to ensure budgetary balance&#xD;
and financial sustainability for federal entities. This study seeks to analyze the relationship&#xD;
between personnel expenses and tax and non-tax revenues in ten municipalities in Ceará over&#xD;
the period from 2019 to 2023. The objective is to assess the evolution of these variables and&#xD;
verify whether the limits established by the LRF were respected. A quantitative-descriptive&#xD;
methodology was adopted, based on the analysis of secondary data extracted from SICONFI&#xD;
and municipal transparency portals. The Hodrick-Prescott Filter was used to identify trend&#xD;
patterns and fluctuations in personnel spending and municipal revenues over time. The results&#xD;
show a continuous increase in personnel expenditures, while tax and non-tax revenues exhibited&#xD;
distinct variations across the municipalities analyzed. In some cases, the commitment of net&#xD;
current revenue to personnel expenses exceeded the limits established by legislation. The&#xD;
analysis highlights the need for efficient fiscal management to balance personnel spending and&#xD;
municipal revenues, ensuring economic stability and compliance with fiscal obligations. The&#xD;
study contributes to the understanding of municipal financial dynamics and provides insights&#xD;
for the formulation of public policies aimed at fiscal sustainability in different local contexts.
Tipo: TCC</summary>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
  </entry>
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