https://repositorio.ufu.br/handle/123456789/18053 Mon, 13 Jul 2026 16:29:53 GMT 2026-07-13T16:29:53Z https://repositorio.ufu.br/handle/123456789/48803 Title: Desempenho de genótipos de feijoeiro comum, grupo cranberry, no inverno, em Uberlândia. Abstract: The common bean (Phaseolus vulgaris L.) is one of the most economically and socially important herbaceous legumes in the world. It also plays a crucial role in human nutrition as a rich source of proteins, vitamins, and iron. Therefore, this study aimed to evaluate common bean genotypes from the cranberry group regarding their cultivation and usage values during the winter season. The experiment was conducted at the Água Limpa Experimental Farm in Uberlândia, MG, Brazil. The study followed a randomized block design (RBD) with 13 treatments and three replications, totaling 39 plots. Each plot consisted of four rows, each 4 meters long, with a spacing of 0.5 meters, resulting in a total area of 8 m². The evaluated genotypes were CNFCR 20652, CNFCR 20653, CNFCR 20654, CNFCR 20655, CNFCR 20656, CNFCR 20657, CNFCR 20658, CNFCR 20659, CNFCR 20660, CNFCR 20661, IAC NUANCE, BRS FS305, and the control BRS EXECUTIVO. The analyzed variables included number of pods per plant, number of grains per pod, 100-grain weight (g), and yield (kg ha⁻¹). Topdressing fertilization was performed using ammonium sulfate in two applications of 200 kg/ha. Irrigation was carried out by a sprinkler system using rotating sprinklers. Harvesting took place at the R8-R9 phenological stages. The obtained data were subjected to analysis of variance (ANOVA) using the F-test, and mean comparisons were performed using the Scott-Knott test at a 5% significance level. The results indicated that, for the number of pods per plant, only the genotypes CNFCR 20661 and the control BRS EXECUTIVO were statistically inferior to the others. In the number of grains per pod evaluation, no statistical differences were observed among the genotypes. Regarding the 100-grain weight, the genotypes BRS FS305 and the control BRS EXECUTIVO were superior to all others. Finally, in the yield (kg ha⁻¹) evaluation, the genotypes BRS FS305, CNFCR 20660, and CNFCR 20658 were statistically superior to the others. Thu, 22 May 2025 00:00:00 GMT https://repositorio.ufu.br/handle/123456789/48803 2025-05-22T00:00:00Z https://repositorio.ufu.br/handle/123456789/48572 Title: Comportamento espacial dos atributos fisiológicos de sementes de soja de um campo de produção Abstract: Soybean seeds may exhibit distinct quality levels when produced in different management zones. This study aimed to evaluate the physiological attributes of soybean seeds and identify their variability and spatial distribution using geostatistical tools. Data were collected at the Glória Farm (Uberlândia, MG) and analyzed at the Seed Analysis Laboratory of the Federal University of Uberlândia (Umuarama Campus). Soybean seeds were harvested from 48 georeferenced points to determine their physiological behavior and spatial dependence patterns. The variability of physiological quality attributes from different zones was assessed through germination, accelerated aging, seedling emergence, electrical conductivity, and seedling length tests. Previously analyzed soil attributes, along with initial plant stand and seed yield, enabled the validation of management zones. Physiological seed quality is not uniformly distributed across the production field; therefore, geostatistics is an effective tool for determining the spatial distribution of physiological quality attributes in soybean seed production areas. Fri, 13 Mar 2026 00:00:00 GMT https://repositorio.ufu.br/handle/123456789/48572 2026-03-13T00:00:00Z https://repositorio.ufu.br/handle/123456789/48478 Title: Índice NDVIe sua correlação com a produtividade do café Abstract: Precision agriculture has become an important tool in modern farming, enabling increased productivity, cost reduction, and environmental sustainability. In this context, this study aimed to evaluate the relationship between the Normalized Difference Vegetation Index (NDVI) and the productivity of Arabica coffee (Coffea arabica L.). The research was conducted in a cultivar coffee irrigated area of approximately 27 ha, located in the municipality of Indianópolis, Minas Gerais, Brazil, using a sampling grid composed of 50 georeferenced points. Productivity was determined through manual harvesting of selected plants at each point, followed by drying and processing. NDVI indices were obtained from Planet satellite images, covering the period from August 2023 to July 2024. The data were statistically analyzed using descriptive analysis and Pearson's linear correlation, as well as spatial interpolation by kriging to generate productivity maps. A moderate positive correlation was observed between NDVI obtained in December 2023 and final coffee productivity, whereas NDVI from March 2024 showed a negative correlation, reflecting physiological differences of the crop throughout its growth cycle. It is concluded that NDVI can be used as an auxiliary tool for estimating coffee productivity, provided that the timing of image acquisition is considered, with greater efficiency during periods of higher vegetative activity. Thu, 05 Feb 2026 00:00:00 GMT https://repositorio.ufu.br/handle/123456789/48478 2026-02-05T00:00:00Z https://repositorio.ufu.br/handle/123456789/48461 Title: Atributos físicos e sensoriais do grão do café e seu comportamento espacial Abstract: Arabica coffee (Coffea arabica L.) represents one of the most economically and socially relevant crops in Brazil, with beverage quality being an essential factor for its commercial value. This study aimed to evaluate the spatial variability of the physical attributes of coffee beans and the sensory attributes of the beverage, seeking to identify patterns and relationships between them. The research was conducted in a 27-hectare field at Fazenda Mandaguari, in Indianópolis-MG, cultivated with the Topázio cultivar under irrigation, where a grid of 50 georeferenced points was established for field attribute sampling. Based on data of altitude, soil attributes, and grain yield, zones of different potentials or homogeneous zones (HZ) were defined. In the laboratory, the manually harvested coffee beans, subjected to natural drying, were physically classified according to Normative Instruction No. 8/2003, with sieve analysis, defects evaluation (black, sour, green, bored, shell, and shell center beans), and coffee type classification. Subsequently, sensory analysis was performed following the Specialty Coffee Association (SCA) protocol, conducted by Q-Graders, in the four zones of different potentials previously defined. The data were analyzed using descriptive statistics and geostatistics, resulting in thematic maps of the spatial distribution of the evaluated attributes. The results revealed significant variability among the zones, with Zone 3 standing out for achieving the highest sensory score (84.5 points), related to a higher proportion of beans retained in larger sieves (16 and 17) and lower occurrence of defects. On the other hand, Zone 4 showed the lowest sensory score (80.25 points), associated with a higher frequency of defects and predominance of smaller beans. The combined analysis showed that, although some defects such as green and black beans were present, positive attributes of body, aroma, and balance compensated for their effects in certain zones, allowing the achievement of superior beverage quality. Thus, the integration of physical and sensory attributes, combined with the use of Precision Agriculture tools, demonstrated that there is spatial variability in coffee quality for some attributes, reinforcing the potential of site-specific management strategies to add value to the product. Sat, 20 Sep 2025 00:00:00 GMT https://repositorio.ufu.br/handle/123456789/48461 2025-09-20T00:00:00Z