https://repositorio.ifgoiano.edu.br/handle/prefix/216 2026-05-11T12:52:18Z https://repositorio.ifgoiano.edu.br/handle/prefix/6474 Título: A POLINIZAÇÃO PELA ABELHA TETRAGONISCA ANGUSTULA MELHORA A QUALIDADE DO MORANGO EM CASA DE VEGETAÇÃO INDEPENDENTE DA SUPLEMENTAÇÃO LUMINOSA Autor(es): Lemos, Artur Simão Primeiro Orientador: Silva, Fabiano Guimarães Primeiro Membro da Banca: Silva, Fabiano Guimarães Segundo Membro da Banca: Sales, Juliana de Fátima Terceiro Membro da Banca: Moura, Altair Dias de Abstract: The sustainable intensification of agricultural production in protected environments demands the integration of management technologies and pollination services, especially those provided by stingless bees. This study aimed to evaluate the effects of LED supplemental lighting on the foraging behavior of the stingless bee Tetragonisca angustula (Hymenoptera: Apidae; Meliponini) and its interactions with pollination services, plant physiological performance, and fruit quality of the strawberry (Fragaria × ananassa Duch., cv. ‘San Andreas’) grown in a greenhouse. The hypothesis was that pollination by T. angustula improves the physiological and productive performance of the strawberry, while LED supplemental lighting modulates photosynthetic and metabolic processes without compromising bee behavior. The experiment was conducted in a completely randomized design, combining pollination conditions (open pollination and spontaneous self-pollination) with and without LED supplemental lighting. Bee behavior, gas exchange, chlorophyll a fluorescence, fruit morphological attributes, physicochemical parameters, and bioactive compound profiles were evaluated, in addition to multivariate analysis using self-organizing maps. Supplemental lighting did not alter the frequency of floral visitation by the bees. Conversely, bee visitation (open pollination) promoted an increase in photosynthetic efficiency, water use, and the strengthening of the source-sink relationship, resulting in larger fruits and changes in phenolic compound concentrations. In contrast, plants without bee visitation (self-pollination) showed higher energy dissipation, lower weight and length, and higher total soluble solids content, suggesting metabolic rearrangements under lower reproductive demand. Supplemental lighting acted as a complementary factor, with effects depending on the variable evaluated. It is concluded that functional efficiency and fruit quality in protected systems primarily depend on biotic pollination, while artificial lighting should be employed as a support tool to stabilize the production environment, especially in light-limited scenarios. The results contribute to the formulation of ecological intensification strategies in protected cultivation systems, reconciling productivity, quality, and sustainability. Editor: Instituto Federal Goiano Tipo: Dissertação 2026-02-20T00:00:00Z https://repositorio.ifgoiano.edu.br/handle/prefix/6422 Título: BIOFORTIFICAÇÃO AGRONÔMICA DE ALFACES TROPICALIZADAS SOB DIFERENTES ESPECTROS DE LUZ LED Autor(es): Rodrigues, Bruno Dourado Primeiro Orientador: Silva, Fabiano Guimarães Primeiro Membro da Banca: Sales, Juliana de Fátima Segundo Membro da Banca: Purquerio, Luis Felipe Villani Terceiro Membro da Banca: Marcio, Rosa Abstract: Vertical cultivation of vegetables represents a strategic alternative for food security in the face of climate change. Despite technological advances, there is still a gap in the scientific literature regarding the biofortification potential of tropicalized genotypes, especially when combined with productive stability in systems with artificial lighting. The objective of this study was to evaluate the morphophysiological, nutritional, and productive performance of four lettuce genotypes: the commercial cultivar Grand Rapids (non-tropicalized) and the lines UFU-155#1#1#1, UFU-189#1#2#1, and UFU Biofort (tropicalized). The genotypes were subjected to different LED light spectra (red, blue, white and the combination of the three previous ones, being RBW)) in a vertical aeroponic system cultivated indoors. Evaluations were made of gas exchange, chlorophyll a fluorescence, agronomic parameters, and determination of nutritional composition. Results showed a significant interaction between the studied factors, demonstrating that the light increased quantum efficiency (Fv/Fm) in the UFU-155#1#1#1 and UFU-189#1#2#1 lines (averages above 0.80), while red light reduced the performance index (Pi_Abs) in UFU-Biofort to values close to 1.5. Agronomically, red light maximized total fresh mass and plant diameter, despite reducing stomatal conductance (gs). The intrinsic efficiency of water use (A/gs) was significantly higher in UFU-189#1#2#1 under red light (114.8 µmol CO2/mol H2O), favored by the increase in specific leaf mass and leaf thickness (0.37 mm). The UFU-189#1#2#1 line stood out under the RBW spectrum, presenting high levels of Mg (7.45 g kg-1), Mn (292 mg kg-1), and Zn (605.37 mg kg-1). The red spectrum promoted growth in length but induced physiological stress and reduced photosynthesis, while the blue and RBW spectra optimized the stomatal apparatus, with stomatal densities exceeding 800 mm2 on the abaxial surface, increasing chlorophyll levels and nutritional biofortification. The tropicalized lines UFU-Biofort and UFU-189#1#2#1 showed greater suitability for indoor cultivation and photochemical efficiency, surpassing the commercial cultivar Grand Rapids in structural robustness and nutritional density, with levels of biofortification considered relevant for human consumption and food safety. Editor: Instituto Federal Goiano Tipo: Dissertação 2026-02-20T00:00:00Z https://repositorio.ifgoiano.edu.br/handle/prefix/6145 Título: QUALIDADE DA PLANTABILIDADE DO MILHO DOCE EM FUNÇÃO DA VELOCIDADE DE SEMEADURA Autor(es): Rapaliao, Mariana Joao Pedro Primeiro Orientador: Machado, Tulio de Almeida Primeiro Membro da Banca: Morais, Emmerson Rodrigues de Segundo Membro da Banca: Costa, Fernando Rezende da Abstract: The sowing process, among the production stages, is considered the most important, requiring maximum efficiency. All stages that occurred during sowing were carried out by seeders; these machines are equipped with mechanisms that aim to deposit the seed in the soil and create a favorable environment for its germination. The main objective of this project was to evaluate the plantability quality of sweet corn as a function of different speeds under two seed metering discs. The study was conducted at IF Goiano –Morrinhos Campus located in the municipality of Morrinhos/GO. The design was a randomized block design in a split-plot arrangement. The crop planted was sweet corn. A John Deere 4x2 TDA tractor and a Netz mechanical seeder were used. The operating speeds used were: V1: 2.43; V2: 3.75; V3: 6.00 km h-1. The following variables were evaluated: average linear distance between seeds, quantity of seeds, and type of seed spacing. The results underwent analysis of variance using the F-test at a 5% probability level. The means were subjected to Tukey's test at a 5% probability level; mentioning that the increasing in the sowing speed affects the percentage of spacing. It´s also said that the lowest operating speed provides better seed distribution during sowing. Additionally mentioned, operating at a speed of 6.00 km h⁻¹ (1,67 m s-1), shows the least variability and points within the control limits. Keywords: metering disc, no-till system, types of sieves. Editor: Instituto Federal Goiano Tipo: Dissertação 2025-12-05T00:00:00Z https://repositorio.ifgoiano.edu.br/handle/prefix/6089 Título: SISTEMA DE IRRIGAÇÃO INTELIGENTE BASEADO EM LÓGICA​ ​FUZZY INTEGRADO COM INTERNET DAS COISAS PARA A​ ​CULTURA DO TOMATE CEREJA​ Autor(es): Novak, Sergio Souza Primeiro Orientador: Bailão, Adriano Soares de Oliveira Primeiro Membro da Banca: Teixeira, Marconi Batista Segundo Membro da Banca: Ribeiro, Fabiana Girotto Terceiro Membro da Banca: Santos, Charles Barbosa Abstract: This work presents the development, implementation, and experimental validation of an Intelligent Irrigation System using Fuzzy Logic (SILF), integrated with the Internet of Things (IoT), designed to optimize water use in cherry tomato cultivation (Solanum lycopersicum var. cerasiforme). The proposed system addresses the limitations of traditional fixed-time irrigation methods, which often lead to under- or over-irrigation, nutrient leaching, and water waste. The SILF architecture consists of: (i) a sensor network based on the ESP32 microcontroller for monitoring soil moisture, air temperature, and air humidity; (ii) a Python/Flask backend server hosting the fuzzy inference module; and (iii) a web-based interface developed with Angular for remote monitoring and system configuration. The core of the system is a Mamdani-type fuzzy controller, whose membership functions and inference rules were defined based on consultations with a fruit-growing specialist and on the crop’s physiological literature. Every hour, the system processes real-time environmental data, applies 27 fuzzy rules, and—using the centroid defuzzification method—determines the optimal activation time of the hydraulic pump and solenoid valve, ranging from 0 to 60 minutes. Experimental validation was conducted in a protected environment using a randomized block design with a 5 × 3 factorial arrangement, comprising five substrate volumes (3, 6, 9, 12, and 15 L) and three irrigation methods: (i) traditional (30 continuous minutes once per day); (ii) fractionated (6 minutes every 2 hours, totaling 30 minutes per day); and (iii) intelligent irrigation using SILF. A total of 80 cherry tomato plants were evaluated, with drainage (excess water) as the primary response variable. Analysis of variance (ANOVA) revealed highly significant effects (p < 0.0001) of both irrigation method and substrate volume on drainage. The interaction between these factors was not significant (p = 0.3494), indicating the robustness of SILF under different cultivation conditions. Tukey’s multiple comparison test (α = 0.05) demonstrated that SILF resulted in a statistically significant reduction in average drainage compared to traditional fixed-time irrigation methods, while no significant difference was observed between the two fixed-time strategies. Regarding substrate volume, pots with 15 L exhibited significantly lower drainage compared to those with 3 L and 9 L. It is concluded that SILF is a viable and effective technological solution, capable of saving an average of 200 to 300 mL of water per plant per day, corresponding to a potential reduction of approximately 24 L per day for a bench containing 80 pots. The system combines low cost, scalability, remote control, and adaptive decision-making logic that mimics expert reasoning. This work validates the potential of integrating Fuzzy Logic and IoT technologies for precision agriculture, promoting a more sustainable use of water resources. Editor: Instituto Federal Goiano Tipo: Dissertação 2025-11-28T00:00:00Z