TCC - Bacharelado em Agronomia (UAST)
URI permanente para esta coleçãohttps://arandu.ufrpe.br/handle/123456789/2928
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Resultados da Pesquisa
Item Modificação do uso da terra e seus impactos sobre o fósforo e carbono orgânico do solo no semiárido de Pernambuco(2021-11-26) Silva, Luiz Filipe dos Santos; Pessoa, Luiz Guilherme Medeiros; http://lattes.cnpq.br/1540664578909440; http://lattes.cnpq.br/5391115086399833In the Pajeú sertão, a semiarid region of Pernambuco, the deforested areas of caatinga are intensively used for agricultural cultivation until they deplete soil nutrients such as phosphorus and carbon. until exhausted, and after intensive use of the soil, these areas are abandoned and/or used for grazing animals. Thus, this work aimed to evaluate the dynamics of phosphorus and soil organic carbon under different conditions of land use, in the semiarid region of Pernambuco. Samples were taken in layers of 0-5, 5-10, 10-15 and 15-20 cm of soil under different land use situations: degraded pasture, regenerating caatinga and preserved caatinga. To characterize the chemical attributes of the soils, pH in water (1:2.5), exchangeable cations (Ca2+, Mg2+, Na+ and K+ ) were analyzed, in addition to available phosphorus and organic carbon. The evaluations showed a decrease in the phosphorus content of the surface layer, which was due to the processes of soil degradation generating a lack of nutrients, and the phosphorus content is being made available in the soil as there is a decrease in the levels of Na+ , Mg2+, pH and CTC. Therefore, the degradation of the area and land use without proper management provided an increase in Ca2+ and Mg2+, interfering with the availability of organic carbon, with a high CTC in the three areas. The pH and sodium showed a negative correlation, thus showing an increase in organic carbon as the area is preserved and a decrease with degradation. So, we warn that inadequate soil management can contribute to the loss of important nutrients to the soil such as phosphorus making it unavailable to plants and organic carbon, so it is important to emphasize that many years are needed for the recovery of phosphorus and organic carbon contents, this highlights the importance of preserving native vegetation in the semiarid region of Pernambuco and other northeastern states that belong to the caatinga biome.Item Variabilidade espacial dos atributos químicos em um cambissolo háplico ta eutrófico típico(2020-11-04) Santos, Wagner Martins dos; Bezerra, Alan Cezar; http://lattes.cnpq.br/3690303625468223; http://lattes.cnpq.br/4506292783833761Innovative technologies, such as the expansion of no-till, integrated production systems, and crop biotechnology, are becoming increasingly important in our country, showing the importance of developing techniques that allow more efficient use of resources. That said, the spatial variability of chemical soil attributes was evaluated in an experimental area at the Federal Rural University of Pernambuco / Serra Talhada Academic Unit (UFRPE / UAST) in soil classified as Typical Cambisolo Háplico Ta Eutrófico Typico, to analyze the spatial behavior of the variables: Phosphorus (P), pH, Potassium (K), Sodium (Na), Aluminum (Al), Calcium (Ca), Magnesium (Mg), Organic Matter (MO), Potential Acidity (H + Al), Sum Bases (SB) and Cation Exchange Capacity (CTC) at pH 7.0. The data were collected in a sample grid divided into 4 plots containing 16 subplots each of 3.75x3m, resulting in 128 simple samples divided into depths from 0 to 10 cm and 10 to 20 cm. The data were analyzed using descriptive and geostatistical statistics using spatial dependence analysis and adjustment of semivariograms using the free software R version 3.5.1. Most of the evaluated attributes had an average coefficient of variation (CV) with the highest CV value found for variable K, 102.79 at the depth of 0-20, and the lowest value for pH, 3.58. Most of the attributes showed a pure nugget effect, which may be the result of measurement errors or because the spacing is greater than necessary to identify the spatial dependence, thus being adjusted to the linear model, among the variables that fit the models, the majority presented weak spatial dependence with the variable SB presenting better spatial dependence.