|
Thèses |
|
|
1
|
-
THAMIRES FRANCO DA CONCEIÇÃO
-
ANALYSIS OF SCENARIOS OF EXTREME CLIMATE EVENT OF PRECIPITATION IN THE MUNICIPALITIES OF NOVA FRIBURGO AND TERESÓPOLIS AND ITS IMPACT ON AGRICULTURE
-
Leader : SADY JUNIOR MARTINS COSTA DE MENEZES
-
MEMBRES DE LA BANQUE :
-
CLEVERSON ALVES DE LIMA
-
FABIO CARDOSO DE FREITAS
-
SADY JUNIOR MARTINS COSTA DE MENEZES
-
Data: 25 févr. 2025
Ata de defesa assinada:
-
-
Afficher le Résumé
-
Climate change is defined by statistical variations in climate processes and has been observed with greater frequency and intensity, resulting in extreme events. The IPCC report (2023) highlights the human influence, mainly through greenhouse gas emissions, in the intensification of these events on a global scale. Climate forecasts indicate an increase in extreme events in Latin America, with variations in the water regime and warmer nights. In Brazil, especially in the Southeast (study location), complex climate influences cause extreme rainfall. These events trigger economic, social and environmental problems, which may affect food security and public health. With this recurring scenario, there is an increased need for studies on the impacts of extreme rainfall in agricultural production areas through the analysis of historical series using Geographic Information System (GIS) tools, seeking actions to prevent and mitigate the risks of erosion (soil loss) and deregulation of ecosystems. Ninety-two agricultural properties were selected in the municipalities of Nova Friburgo and Teresópolis using data from the Rural Environmental Registry (CAR) in the state of Rio de Janeiro. These properties were located in the region where the tragedy occurred on January 12, 2011, where 220 mm of precipitation was recorded in 10 hours in the mountainous region, while Nova Friburgo detected a volume of 281.6 mm in 8 hours. After analyzing the properties, it was found that 39 of them (totaling 1,800 ha) had their areas affected due to the occurrence of heavy rains (matrix images containing the location of landslides and floods), resulting in an area of destruction of 74.85 ha (polygons). From these impacted areas, the limits of the agricultural crops obtained using IBGE data for the locations under study were extracted, which estimated a loss of cultivated area (agricultural production analyzed) of 11.44 ha in total. Analyses performed on current images (2024) showed properties that continued their agricultural activities in the regions that suffered the impacts of 2011. However, other properties adapted these regions regarding the regeneration of the post-disaster area, recovering these areas through forest regeneration, removing agricultural cultivation and thus readapting the property to new cultivation and production systems. Future projections (climate events) performed in the research by the MIROC6 and CanESM5 models indicated that this scenario of extreme rainfall may occur again. For the Teresópolis region, precipitation of 857.56 mm was estimated for the year 2058. For the Nova Friburgo region, precipitation ranging from 754.22 to 805.06 mm was estimated for the year 2058. The results presented highlight the importance of climate analysis for agricultural adaptation and risk management regarding the prevention, preparation and mitigation of possible impacts on the rural properties analyzed. This research provides support for strategic decisions, contributing to the sustainability and resilience of these properties in Nova Friburgo and Teresópolis, assisting in the decision-making of Managers and the application of Public Policies aimed at climate change and territorial analysis.
|
|
|
2
|
-
AMANDA DE MORAES AZEVEDO PEREIRA
-
PHYSIOLOGICAL RESPONSES OF SOYBEAN CULTIVARS TO PRE-EMERGING HERBICIDES
-
Leader : CAMILA FERREIRA DE PINHO
-
MEMBRES DE LA BANQUE :
-
CAMILA FERREIRA DE PINHO
-
AROLDO FERREIRA LOPES MACHADO
-
PAULO VINICIUS DA SILVA
-
Data: 27 févr. 2025
Ata de defesa assinada:
-
-
Afficher le Résumé
-
Herbicide selectivity is essential for the effectiveness of chemical weed control; however, it depends on the interactions between the herbicide, the crop and the soil and climate conditions. Therefore, the objective of this study was to evaluate the selectivity of the most commonly used pre-emergent selective herbicides in soybean crops in two distinct cultivars. Two experiments were carried out in different locations: in a greenhouse and in the field. In the greenhouse, 5-L pots containing a sandy-clayey soil mixture were used. This experiment was conducted in a completely randomized design with 6 replicates. Two soybean cultivars were used: Brasmax Olimpo 80I82RSF IPRO and Brasmax Exata 64IX60RSF I2X. The treatments applied were: control (no application), Kyojin (120+ 80 g a.i.ha-1), Yamato (150 g a.i.ha-1), Spider (35.38 g a.i.ha-1), Stone (245+490 g a.i.ha-1), Boral (400 g a.i.ha-1), Flumyzin (50 g a.i.ha-1), Zethamaxx (120+60 g a.i.ha-1), Arkeiro (25+50+100 g a.i.ha-1) and Allus (300+80 g a.i.ha-1). In experiment II, in the field, the same herbicides were used and a randomized block design with 4 replications was adopted. In EI, visual analyses of phytotoxicity and transient chlorophyll a fluorescence were performed at 14, 21, 28 and 35 days after application (DAA). In addition to analyzing the activity of the enzyme Glutathione S-transferase when the plant reached the vegetative stage V2 and dry mass of aerial part at the end of the experiment. In experiment II, visual analyses of phytotoxicity and weed control were performed at 14, 21, 28 and 35 DAA. Under EI conditions, all herbicides were selective for both cultivars. Under EII conditions, all treatments were selective for the Olimpo cultivar, and for the Exata cultivar, the herbicides Stone, Boral and Arkeiro presented phytotoxicity considered unacceptable. It is concluded that the Olimpo cultivar, when compared to Exata, was more tolerant to herbicides. However, productivity analyses will be performed to corroborate the other data.
|
|
|
3
|
-
JACOB SANTANA DE LIMA NETO
-
CULTIVATION OF MICROALGAE IN PHOTOBIOREACTORS FOR BIOREMEDIATION OF SOY MILK WASTEWATER AND PRODUCTION OF BIOPRODUCTS
-
Leader : HENRIQUE VIEIRA DE MENDONCA
-
MEMBRES DE LA BANQUE :
-
HENRIQUE VIEIRA DE MENDONCA
-
CONAN AYADE SALVADOR
-
GLICÉLIA PEREIRA SILVA
-
RENATA DE NAZARÉ VILAS BÔAS
-
Data: 27 févr. 2025
Ata de defesa assinada:
-
-
Afficher le Résumé
-
Climate change is intensified by CO₂ emissions from fossil fuels, creating an urgent need for sustainable alternatives. Third-generation biofuels, such as those derived from microalgae, mitigate these emissions through effluent bioremediation and CO₂ capture. A significant source of effluent is soybean milk production, which poses a threat to aquatic ecosystems. This study aimed to evaluate the cultivation of Chlorella sp. in soybean milk wastewater (SMW) for biodiesel production in Seropédica, RJ, Brazil. Six treatments were conducted: three without CO₂ addition and three with CO₂ supplementation at 2% v/v. Daily physical parameters, such as pH, temperature, and irradiance, were monitored, and the kinetics of wastewater treatment were analyzed by measuring total nitrogen (N_total), ammonium (NH₄⁺), chemical oxygen demand (COD), and total organic carbon (TOC). Lipid extraction and fatty acid analysis were performed to assess biodiesel quality. The treatments produced between 1.403 and 3.200 g·L⁻¹ of dry biomass and achieved 78–98% removal efficiency for N_total, NH₄⁺, COD, and TOC. The highest biomass composition was 51.67% proteins, 25.67% carbohydrates, and 12.24% lipids. The microalgae cultivation system reached a CO₂ biofixation rate of 44.96 t·year⁻¹. The biodiesel quality met national and international standards, including ASTM D6751 (2024) and ANP (2024). Treatments with PBR2CO₂ at 30 mL·L⁻¹ showed significant productivity and yields of biodiesel and bioethanol. These findings demonstrate that cultivating Chlorella sp. in PBRs using SMW is a promising solution for wastewater treatment and biofuel production, contributing to the global energy transition.
|
|
|
4
|
-
NÉLIA DALÚVIA RAFAEL CAMBANHANE
-
STOCKS OF CARBON, NITROGEN AND GRANULOMETRIC FRACTIONS OF SOIL ORGANIC MATTER UNDER
DIFFERENT SUSTAINABLE AGRICULTURAL MANAGEMENT SYSTEMS AND IN NATIVE VEGETATION IN THE CERRADO
-
Leader : ERIKA FLAVIA MACHADO PINHEIRO
-
MEMBRES DE LA BANQUE :
-
ERIKA FLAVIA MACHADO PINHEIRO
-
ALDAIR DE SOUZA MEDEIROS
-
ANA CAROLINA DE SOUZA FERREIRA
-
Data: 28 févr. 2025
Ata de defesa assinada:
-
-
Afficher le Résumé
-
The capacity of soils to act as one of the largest C reservoirs depends on the balance between C inputs and outputs, and is directly related to changes in land use and agricultural management systems. This study aimed to evaluate soil carbon and nitrogen stocks, as well as the forms of C found in the soil (labile and stable) in different sustainable agricultural production systems and in an area under native Cerrado vegetation, in João Pinheiro (MG). The study was conducted on a farm located in the municipality of João Pinheiro, belonging to the Paracatu microregion, in the northwest of Minas Gerais. Three distinct soil management systems were evaluated, namely: productive pasture, crop-livestock integration, agroforestry system, and native forest. Monitoring of carbon (C) and nitrogen (N) in the soil was conducted following the guidelines of the Measurement, Reporting, and Verification Protocol. To quantify C and N contents, soil bulk density (SD), chemical analyses (Ca+2, Mg+2, Al+3 and pH in water), physical analyses (granulometry) and physical fractionation, trenches were dug and undisturbed and disturbed soil samples were collected. Soil samples were collected at the following depths: 0-5, 5-10, 10-20, 20-30, 30-40, 40-60, 60-80 and 80-100 cm. The study was carried out using a completely randomized experimental design. The MN forest exhibited the lowest SD values at all depths analyzed, differing significantly from the managed systems. This condition reflects the natural state of the soil, characterized by high organic matter content, good porosity and absence of intensive management. The MN presented higher C stock values at all depths analyzed, except in the ILP, which was statically equal. The N stocks presented higher and statistically equal values in the PP and ILP management systems, and the lowest values were observed in the SAF at all evaluated depths. It was observed that the SAF and ILP presented the highest COP accumulation in the surface layer (0-5 cm), with a value of 1.8 Mg ha⁻¹. The MN presented a higher COAM contribution in relation to the management systems, presenting a higher value of 20.32 Mg ha-1 in the 0-5 cm layer. This result is important because it shows that the carbon in the soil is protected in organo-mineral complexes. The removal of MN for the implementation of PP preserves the C stocks in the soil only in the surface layer of the soil. On the other hand, ILP maintains the C levels in the soil at the same level as the MN, showing that it is an adequate management system for maintaining soil quality.
|
|
|
5
|
-
THAÍS MACHADO DE SOUZA
-
Machine Learning Techniques for Weed Identification in Corn Crops: Comparison Between Maximum Likelihood, Random Forest, and Support Vector Machine
-
Leader : MURILO MACHADO DE BARROS
-
MEMBRES DE LA BANQUE :
-
MURILO MACHADO DE BARROS
-
ANDERSON GOMIDE COSTA
-
FLÁVIO CASTRO DA SILVA
-
Data: 28 juil. 2025
Ata de defesa assinada:
-
-
Afficher le Résumé
-
Maize (Zea mays L.) is an of the most important crops in Brazilian and global agribusiness, serving as an essential source of food for both humans and animals, as well as a raw material for the pharmaceutical, chemical, energy, and food industries. However, its productivity can be severely affected by the presence of weeds, which compete with the crop for water, nutrients, and sunlight. The visual similarity between species, particularly at early growth stages, hinders their identification. In this context, this study applied Remote Sensing (RS) techniques for the spectral discrimination between maize and the weed Cyperus rotundus, using multispectral imagery acquired via Remotely Piloted Aircraft Systems (RPAS). Three supervised classifiers – Maximum Likelihood (ML), Random Forest (RF), and Support Vector Machine (SVM) – were evaluated and applied across different phenological stages and in two crop cycle (second-crop and crop). Overall Accuracy (OA), along with precision, recall, and F1-score per class, were used to assess the algorithms’ performance in classifying four targets: Zea mays L., Cyperus rotundus, soil, and shadow. An improvement in classification performance was observed as the crop advanced phenologically. In the first year (second-crop), the V8 stage proved to be the most suitable for plant differentiation, with ML achieving the highest performance (OA = 89%). For the class Zea mays L., precision was 0.88, recall 0.81, and F1-score 0.85; for Cyperus rotundus, precision was 0.68, recall 0.89, and F1-score 0.77. In the second year (crop), the best differentiation occurred at the V6 stage. Once again, ML showed the best performance (OA = 88%), with values of 1.00 for precision, 0.78 for recall, and 0.88 for F1-score in the Zea mays L. class, and 0.52 for precision, 1.00 for recall, and 0.68 for F1-score in the Cyperus rotundus class.
|
|
|
6
|
-
CATHERINE SIQUEIRA ALVES XAVIER
-
Geographical Indication of Cassava (Manihot esculenta – Euphorbiaceae) for the producing microregions of Rio de Janeiro, Brazil
-
Leader : SADY JUNIOR MARTINS COSTA DE MENEZES
-
MEMBRES DE LA BANQUE :
-
SADY JUNIOR MARTINS COSTA DE MENEZES
-
FABIO CARDOSO DE FREITAS
-
GETÚLIO FONSECA DOMINGUES
-
Data: 28 juil. 2025
Ata de defesa assinada:
-
-
Afficher le Résumé
-
Cassava (Manihot esculenta – Euphorbiaceae) is a widely cultivated crop across the Southern Hemisphere, recognized for its socioeconomic and nutritional importance. Designated by the United Nations (UN) as the "food of the 21st century," it is notable for its high energy value, playing a crucial role in ensuring food security for vulnerable populations. Currently, Nigeria leads global cassava production, with Brazil ranking fifth. In the Brazilian context—where it is also known as aipim or macaxeira—cassava holds deep cultural and historical significance, having been cultivated by Indigenous peoples since pre-colonial times. This versatile and highly adaptable plant has a broad geographic distribution within Brazil and substantial economic importance, ranking among the country's leading agricultural products in terms of volume and yield. Its roots are mainly used for the production of flour and starch, as well as for fresh consumption and animal feed. In the state of Rio de Janeiro, the municipality of São Francisco de Itabapoana is the largest cassava producer and is closest to obtaining a Geographical Indication (“IG”) for cassava flour. In Brazilian legislation, GIs include Indication of Source (“IP”) and Designation of Origin (“DO”), which aim to protect notable products and services that have become well-known or possess specific qualities linked to their geographic origin. The National Institute of Industrial Property ("INPI") is responsible for the registration and recognition of GIs in Brazil, promoting the identification and valorization of regional products. The establishment of a Geographical Indication is a strategic collective tool enabling producers to promote their regional products while preserving the quality and reputation built over time. This study focuses on four cassava-producing microregions in the state of Rio de Janeiro. Its main objective is to conduct an edaphoclimatic analysis of these areas through the application of Principal Component Analysis (PCA), a statistical technique widely used in environmental and meteorological research. The goal is to identify clusters and similarities among municipalities that could technically justify the potential for obtaining a collective GI for cassava. Geoprocessing tools were used to interpolate all data on precipitation, temperature, elevation, and soil. These data were then tabulated and analyzed using the software PAST 4.03. PCA proved effective for the intended purpose, with the first principal component (PC1) accounting for over 70% of total data variance in the first two analyses, and the first three components combined explaining the same proportion in the third. The results revealed two groups of municipalities with similar edaphoclimatic characteristics: the first located in the microregions of Cachoeiras de Macacu and Rio de Janeiro (Duque de Caxias, Magé, Guapimirim, and Cachoeiras de Macacu), and the second in the Campos dos Goytacazes microregion (São Francisco de Itabapoana, Campos dos Goytacazes, and Quissamã).
|
|
|
7
|
-
JOÃO CELIO LUNA DE CARVALHO
-
Development of a computer vision system for selecting agricultural products using convolutional neural networks
-
Leader : ANDERSON GOMIDE COSTA
-
MEMBRES DE LA BANQUE :
-
ANDERSON GOMIDE COSTA
-
JULIANA LOBO PAES
-
EMANOEL DI TARSO DOS SANTOS SOUSA
-
Data: 29 juil. 2025
Ata de defesa assinada:
-
-
Afficher le Résumé
-
The demand for high-quality horticultural products, properly classified and selected, is increasing in line with global food production and population growth. To support this activity, the application of artificial intelligence—particularly through neural networks and image processing—has become increasingly common. In general, the allocation of agricultural products by the industry depends on quality standards, yet equipment focused on classification and selection remains scarce in Brazil. Convolutional Neural Networks (CNNs), a subset of deep neural networks, are specifically designed for image processing in a faster and more efficient manner. Therefore, the objective of this project was to develop a device capable of using a computer vision system associated with CNNs to classify agricultural products based on quality attributes such as the presence of epidermal injuries, ripeness level, and variety—whether under controlled lighting conditions or in the field. The image selection chamber consisted of a Raspberry Pi 5 with 8 GB of RAM connected to a dedicated camera module, an LCD monitor, and LED lamps for lighting. The software for CNN training and data classification was stored on the internal memory, provided by a 64 GB Micro SD card. Six different datasets were built under varying environmental and lighting conditions to test the robustness of the algorithm. Two CNNs with established architectures—AlexNet and MobileNet—were trained from scratch (without pre-trained weights), and their performances were compared with a custom-developed CNN, created during the project, named OakMoonNet. Performance comparison was conducted using Accuracy, Precision, Recall (Sensitivity), and F1-Score metrics for each neural network. OakMoonNet outperformed the other models in all tests, both in terms of execution time and evaluation metrics. The developed device, along with its software and user interface, also proved to be user-friendly and intuitive, enabling the broader use of CNNs even by individuals with limited technical knowledge.
|
|
|
8
|
-
WILLIAN PEREIRA DO NASCIMENTO
-
USE OF MICROALGAE REMOVED FROM LAKE AÇU FOR THE DEVELOPMENT OF ORGANOMINERAL FERTILIZER
-
Leader : HENRIQUE VIEIRA DE MENDONCA
-
MEMBRES DE LA BANQUE :
-
HENRIQUE VIEIRA DE MENDONCA
-
LEANDRO MARTINS FONTOURA
-
DAVID VILAS BOAS DE CAMPOS
-
Data: 29 juil. 2025
-
-
Afficher le Résumé
-
Brazil has a high dependence on imported mineral fertilizers, which increases agricultural production costs and contributes to environmental impacts such as soil acidification and the eutrophication of water bodies. In this context, organomineral fertilizers, which combine mineral nutrients and organic matter, present a promising alternative. This study aimed to evaluate the use of microalgae from Lago Açu, an eutrophic water body located at the Federal Rural University of Rio de Janeiro (UFRRJ), in the formulation of organomineral fertilizers (OMF). The microalgae were cultivated using the Algal Turf Scrubber (ATS) system, collected weekly, dried, ground, and chemically and biologically characterized. The biomass was used in different proportions and combined with mineral sources of phosphorus and potassium to formulate the OMF, which were applied to pots containing two types of soil (Argisol and Planosol) cultivated with maize (Zea mays L.). The experiment was conducted for 45 days in a randomized block design, in a 2x7 factorial scheme, with four replicates. The dry mass of the aerial part of the plants and the effects of the treatments on the chemical properties of the soil were evaluated. Data were analyzed by ANOVA and Tukey's test at 5% significance. The results showed that the application of microalgae-based OMF improved plant nutrition and soil fertility, demonstrating the potential of this biomass as a sustainable agricultural input.
|
|
|
9
|
-
YURI MARINHO FERREIRA
-
NUTRIENT REMOVAL FROM AQUEOUS SOLUTIONS USING BIOCHAR FROM EXHAUSTED COMPOST FROM MUSHROOM PRODUCTION
-
Leader : ALEXANDRE LIOI NASCENTES
-
MEMBRES DE LA BANQUE :
-
ALEXANDRE LIOI NASCENTES
-
LEONARDO DUARTE BATISTA DA SILVA
-
DIEGO MACEDO VENEU
-
Data: 30 juil. 2025
Ata de defesa assinada:
-
-
Afficher le Résumé
-
Mushroom production uses a substrate composed of straw, bagasse, and sawdust, which, after depletion, becomes an agro-industrial residue commonly referred to as spent mushroom compost (SMC). It is estimated that 5 kg of SMC are generated for every 1 kg of mushrooms produced. A promising waste valorization technique is its conversion into biochar through pyrolysis. Biochar can be used for the removal of nutrients (nitrogen and phosphorus) from wastewater, which, when properly recovered, can be reused in agriculture. This study aimed to evaluate the nutrient removal capacity of SMC-derived biochar. Two types of biochar were produced: one from shiitake SMC (BCST) and another from shimeji SMC (BCSM), varying the pyrolysis temperature (400°C, 500°C, 600°C) and biochar activation (chemical treatment with MgCl₂; without chemical treatment). Preliminary tests were conducted for the removal of ammoniacal nitrogen, nitrate, and total phosphorus after 24 hours of contact, using a ratio of 30 g of biochar per liter of solution. Subsequently, experiments were carried out varying the pyrolysis temperature (400°C, 500°C, 600°C) and biochar dosage (5 g/L, 7.5 g/L, 10 g/L) for both BCST and BCSM. In preliminary tests, non-activated biochar showed negligible performance, whereas chemically treated biochar achieved removal efficiencies of 11.1% for ammoniacal nitrogen, 3.3% for nitrate, and 98.1% for total phosphorus after 24 hours at 30 g/L. Chemically treated shiitake biochar (BCST) showed maximum adsorptive capacity (qe=21.26 mg/g) when produced at 500°C and tested at the lowest initial phosphorus concentration, with efficiencies above 93% under all experimental conditions. Shimeji biochar (BCSM) with chemical activation removed more than 99.9% of total phosphorus across all tested conditions, regardless of pyrolysis temperature or initial phosphorus concentration, highlighting its high potential as a phosphorus adsorbent for nutrient recovery and reuse, particularly for agricultural purposes.
|
|
|
10
|
-
LUCAS SANTOS HONDA
-
Humic substances in soils of Central Amazonia: effect of relief and vegetation on carbon stabilization
-
Leader : ERIKA FLAVIA MACHADO PINHEIRO
-
MEMBRES DE LA BANQUE :
-
DAVID VILAS BOAS DE CAMPOS
-
ERIKA FLAVIA MACHADO PINHEIRO
-
RENATA COURA BORGES
-
Data: 31 juil. 2025
Ata de defesa assinada:
-
-
Afficher le Résumé
-
A decade after the Paris Agreement (COP21, 2015), global efforts to limit the increase in the planet's average temperature to 1.5°C by 2030 have proven insufficient. More recent scientific projections indicate that this limit will most likely be exceeded this decade, and may be exceeded up to three years earlier than initially established. In this scenario, the Amazon biome assumes a central role in discussions on climate change and greenhouse gas (GHG) mitigation strategies. The Amazon acts as one of the largest carbon sinks on the planet, with an estimated annual sequestration of between 421 and 470 Tg of carbon (C), in addition to playing essential roles in climate regulation on a regional and global scale. Understanding the mechanisms that control the dynamics and stabilization of organic matter in Amazonian soils is therefore fundamental for both the conservation of ecosystem services and the development of effective strategies to mitigate GHG emissions. In this context, this study aimed to quantify carbon stocks (ECOS) in soil humic fractions (fulvic acid, humic acid, and humin) down to 30 and 100 cm depths, as well as to evaluate the influence of edaphic factors such as relief, drainage, and vegetation on the formation and stabilization of soil organic matter (SOM) in soils of the Urucu Province, Central Amazon. In 2018, trenches were dug and soil samples (disturbed and undisturbed) were collected from 10 representative profiles. The previously identified samples were packaged in plastic bags and sent to the Soil Organic Matter Dynamics Laboratory (LMOS), where they were prepared as air-dried fine earth (AFFI). To evaluate ECOS and carbon stabilization mechanisms, chemical fractionation of organic matter was performed, aiming at the separation of fulvic acid (FA), humic acid (HA) and humin (H) fractions, according to the methodology proposed by Benites et al. (2003). The quantification of organic carbon in the fractions was performed based on oxidation by potassium dichromate and titration with ammonium ferrous sulfate, according to Yeomans & Bremner (1988). Using the carbon contents obtained, ECOS were calculated at depths of 0–30 cm and 0–100 cm. ECOS at 30 cm ranged from 16.4 to 67.5 Mg ha⁻¹, while ECOS at 100 cm ranged from 51.5 to 214.2 Mg ha⁻¹. In the fulvic fraction, soils on dry land, well-drained and under dense forest presented stocks between 23.1 and 51.8 Mg ha⁻¹; in the humic fraction, between 8.4 and 33.1 Mg ha⁻¹; and in humin, between 24.1 and 68.0 Mg ha⁻¹. In profiles located in river plains, with impeded drainage and open forest vegetation, ECOS varied between 19.2 and 63.1 Mg ha⁻¹ (AF), 22.3 and 79.0 Mg ha⁻¹ (AH), and between 28.1 and 72.1 Mg ha⁻¹ (H). In soils located on terraces, with moderate to imperfect drainage and under open forest, stocks ranged from 16.0 to 46.7 Mg ha⁻¹ (AF), 7.7 to 54.3 Mg ha⁻¹ (AH), and 22.5 to 98.8 Mg ha⁻¹ (H). Only two profiles presented more than 50% of the total carbon stock in the top 30 cm, notably a Gleysol, which concentrated 64.7% of the organic carbon in this surface layer. The results indicate a strong influence of soil conditions and the environment on the vertical distribution and stability of carbon in the different humic fractions of the soil.
|
|
|
11
|
-
CAMILA DA MOTTA DE CARVALHO
-
MICROALGAE BIOMASS AS A SUSTAINABLE INPUT IN AGRICULTURE: EVALUATION OF BIOFERTILIZER AND BIOSTIMULANT POTENTIAL IN HORTICULTURAL CROPS
-
Leader : HENRIQUE VIEIRA DE MENDONCA
-
MEMBRES DE LA BANQUE :
-
HENRIQUE VIEIRA DE MENDONCA
-
DANIEL FONSECA DE CARVALHO
-
JONATHAS BATISTA GONCALVES SILVA
-
Data: 31 juil. 2025
Ata de defesa assinada:
-
-
Afficher le Résumé
-
Coriandrum sativum L., popularly known as cilantro, is an annual leafy vegetable native to the eastern Mediterranean that has great socioeconomic value in Brazil, and is cultivated mainly by small and medium-sized producers. Considering that fertilization effectively contributes to a high yield in the production of this vegetable and that the effluents generated by cattle farming can be a source of environmental pollution when not treated properly, this project aims to evaluate the potential use of biofertilizer from microalgae cultivated in cattle farming effluents as an alternative to the use of conventional fertilizers for the production of coriander (Coriandrum sativum L.), cv. Verdão. For this purpose, four different treatments will be applied, including a control group (T1 = 100% NPK), in addition to four groups that will receive different doses of microalgal biofertilizer (T2 = 100%, T3 = 110%, T4 = 120%). The experiment will be conducted in a completely randomized design (CR), with five replicates for each treatment. At the end of the cultivation period, the following morphological parameters will be evaluated in the plants: aerial part height (APA); root length (CR); fresh root mass (MSFR); fresh aerial part mass (MFPA); dry root mass (MSR); dry aerial part mass (MSPA) and aerial part succulence (SCPA). As a result, it is expected that coriander plants cultivated with microalgal biofertilizers will present productivity and growth parameters similar to or superior to those of the plants in the control treatment.
|
|
|
12
|
-
JOÃO CARLOS PINTO DE LIMA
-
"Evaluation of cattle wastewater treatment in constructed wetlands with different doses of Lithothamnium calcareum and the presence or absence of vetiver grass"
-
Leader : ALEXANDRE LIOI NASCENTES
-
MEMBRES DE LA BANQUE :
-
ALEXANDRE LIOI NASCENTES
-
LEONARDO DUARTE BATISTA DA SILVA
-
Jaime Lopes da Mota Oliveira
-
Data: 29 oct. 2025
Ata de defesa assinada:
-
-
Afficher le Résumé
-
Dairy cattle farming generates large volumes of wastewater with high organic and nutrient loads, representing an environmental challenge when discharged without adequate treatment. Vertical Flow Constructed Wetlands (VFCWs) are a sustainable alternative for treating these effluents but require optimization to maximize pollutant removal efficiency. This study evaluated the effect of different proportions of Lithothamnium calcareum (0%, 10%, 20%, and 30%) and the presence of vetiver grass (Chrysopogon zizanioides) on the removal efficiency of organic matter, nutrients, and physical parameters in VFCWs treating dairy wastewater. The experiment followed a randomized block design with a 4×2 factorial arrangement, totaling eight treatments with two replicates and eight sampling dates over two months (n=128 observations per parameter). The influent wastewater showed average concentrations of 3,383.1 mg/L COD, 89.4 mg/L ammoniacal nitrogen, 56.6 mg/L nitrate, 4.6 mg/L nitrite, 353.3 mg/L phosphate, 26,075 PtCo color, and 1,337.4 NTU turbidity. The results demonstrated that Lithothamnium calcareum had a statistically significant effect on the removal of COD (p = 0.004), color (p = 0.009), and turbidity (p = 0.003), with efficiencies ranging from 76.7% to 81.3% for COD, 74.9% to 96.6% for color, and 74.3% to 98.9% for turbidity. The LC 30% CV treatment showed the best performance for COD (81.3%) and turbidity (98.9%). The presence of Vetiver had a significant effect on ammoniacal nitrogen (p = 0.009) and nitrate (p = 0.013), with N-NH₄⁺ removal efficiencies ranging from 94.4% to 100.0%. Notably, the control treatment (LC 0% CV) showed higher efficiency for nitrate (84.4%), indicating negative interference of LC on denitrification processes. For nitrite and phosphate, no significant effects of the tested factors were detected, although the efficiencies were satisfactory (71.0-76.9% for NO₂⁻; 86.1-88.4% for PO₄³⁻). Chlorophyll assessment revealed a non-linear pattern with a minimum at LC 20%, suggesting possible competition for phosphorus between the plant and the substrate. It is concluded that Lithothamnium calcareum is a promising component for VFCWs aiming at the removal of organic matter and physical parameters, while Vetiver contributes to the transformation of nitrogen compounds, providing support for the optimization of agro-industrial wastewater treatment systems.
|
|