Engenharia Agrícola e Ambiental (Sede)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/13
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APP - Artigo Publicado em Periódico
TAE - Trabalho Apresentado em Evento
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Resultados da Pesquisa
Item Dinâmica espaço-temporal da cobertura vegetal, das queimadas e da expansão da bovinocultura na bacia leiteira do estado de Pernambuco usando Landsat-8 e MapBiomas(2022-12-12) Melo, Maria Vitória Neves de; Almeida, Gledson Luiz Pontes de; http://lattes.cnpq.br/2328849810614673; http://lattes.cnpq.br/8193771315370090The semi-arid is responsible for about 58% of the effective herd in the Brazilian Northeast region (NEB), however, there are local and meteorological factors that limit the semi-arid region. The objective was to evaluate the space-time dynamics of vegetation cover through the Soil-Adjusted Vegetation Index (SAVI) and Pasture Plant Coefficient (CVP) via Landsat-8/OLI images processed in the cloud on Google Earth Engine (GEE), measuring the scenarios of burned areas and characterizing the expansion of cattle farming in the dairy basin in the state of Pernambuco through land use and cover (LULC) and its impacts on the Caatinga Biome. The study region comprises the 23 municipalities that produce the most milk in the state, between 2016 and 2021, divided into dry and rainy seasons. The Vegetation Indexes were processed in the GEE and the spatialization of the rain was made through the Climate Hazards Group InfraRed Precipitation with Station data (CRHIRPS) and both data were submitted to descriptive statistics. LULC thematic maps and burned areas were processed in QGIS software. Thus, it was observed that in the dry and rainy period from 2016 to 2020, there was average precipitation of 77.98 mm and 331.19 mm, respectively. In the rainy season of 2016, less precipitation was observed when compared to the other years of the study, as it was the period that was influenced by the great droughts that preceded the year in question. As for the vegetation indices in the dry period, the SAVI presented lower spectral responses throughout the study period, as a result of low precipitation in the region and the rainy season with high biomass activity with values above 0.78. The SAVI and CVP showed medium to high variability. The burned areas showed that anthropic activities in some sectors of the basin caused the change in the LULC, resulting in degradation processes, even in regions with greater precipitation. Therefore, it is concluded that the analysis of the products CHIRPS, SAVI, CVP associated with the descriptive statistics and the maps of the LULC and burned area, was efficient for the space-time characterization of the expansion of cattle farming in the dairy basin of the state of Pernambuco throughout the study period.Item Uniformidade de vazão, índice de vegetação normalizada e produtividade da cana-de-açúcar sob irrigação por gotejamento(2022-06-06) Silva Júnior, José Santino da; Silva, Manassés Mesquita da; http://lattes.cnpq.br/2249840331584869; http://lattes.cnpq.br/7667530223951004Given the importance of irrigating agricultural crops, it is necessary to determine the uniformity of water distribution to ensure the quality of irrigation, frequent monitoring of irrigated areas must be carried out in order to observe the dynamics and conditions of cultivation. In view of this, the present work was developed with the objective of evaluating the quality of irrigation of sugarcane at Usina Vale Verde - Baia Formosa. The study was carried out between February 2021 and February 2022, at Fazenda Pedrosa, belonging to Usina Vale Verde and located in the municipality of Bahia Formosa-RN. A total area of 15 ha was used, subdivided into five sectors of 3 ha each. At the end of the sugarcane cycle, for each of the sectors, the irrigation system flow uniformity coefficient (CUD) and crop productivity were determined. In addition, in six seasons throughout the crop development, the mapping of the Normalized Difference Vegetation Index (NDVI) of the soil cover was carried out, through the QGIS software, using Sentinel-2 satellite images made available by the spatial database of the United States Geological Survey (USGS). The NDVI determination was performed by the ratio between the reflectance difference of the near infrared (band 04) and red (band 08) bands, under their sum, the NDVI images were classified according to the vegetation cover density in phytophysiognomies. After evaluating the data obtained in the present study, it was found that the CUD values have a direct correlation with the productivity of the place, as well as the NDVI images showed higher values in the areas of greater CUD and productivity, thus, the CUD and NDVI are important variables as a source of information in decision making in improving irrigation quality.Item Atividade microbiana de um solo sob cobertura morta e cultivado com forrageiras irrigadas com água de reuso(2022-08-29) Barros, Danilo José de; Lira Junior, Mario de Andrade; Fracetto, Felipe José Cury; http://lattes.cnpq.br/8645174138041143; http://lattes.cnpq.br/7272749911485530; http://lattes.cnpq.br/1685882434827642The United Nations estimates that the population will be 9.7 billion inhabitants in the next 30 years, demanding an increase in food production. A strategy to increase this demand and reduce environmental impact is the use of wastewater for irrigation in association with mulch, which can bring benefits to the soil microbiota, greater availability of nutrients and agricultural productivity. The objective of this work was to evaluate the abundance and microbial activity in soils cultivated with forage cactus, irrigated with sewage wastewater and with mulch. The experiment was at the Parnamirim Production Unit - PE, using reused water from the sewage treatment plant for irrigation of forage cactus consorted with buffel grass and sudan sorghum. The forage cactus was implanted in double rows 0.5m x 0.5m x 2.0 m, with the cultures intercalated between the double rows, with the experimental unit formed by three double rows of 4 m in length each. Four replications were used in the design in randomized blocks, in factorial arrangement 2 (intercropping with sudan sorghum and buffel grass) x 4 covers (no cover, 8 and 12 tons of corn straw per hectare and natural vegetation). We evaluated soil basal respiration, carbon and nitrogen from soil microbial biomass and metabolic quotient, at 0-10 and 10-20 cm layers. There was no significant difference in soil basal respiration, microbial nitrogen, and metabolic quotient at 0-10 and 10-20 layers. Estimating carbon from microbial biomass at 0-10 cm layer, we observed a significant difference between the intercrops without vegetation cover, however at 10-20 with buffel grass, the 8 tons mulch differed from the other treatments. Even so, further research is necessary to observe these variables over a longer period.