14 resultados para Zonas de produção.

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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The objective of this work was to study spatial variability of some chemical soil attributes and lettuce production (total shoot fresh matter mass - MF; commercial shoot fresh matter mass - MFC; commercial shoot dry matter mass - MCS; and head commercial diameter - DCC) offering subsidies to the protected environment mapping in nutrients management areas in lettuce culture aiming for a higher productivity with application of fertilizers. The experiment was conducted in a protective environment (greenhouse) with lettuce irrigated by drip irrigation and sampling grid with 152 points. The special dependence analysis, determined by the variogram, was obtained with the aid of the GS+ Program. Considering the need for crop nutrients through the map obtained for element P (phosphorus) it was possible to establish two distinct areas for the application of this element in plantation fertilization. Through the lettuce yield maps obtained with MFC and DCC attributes was difficult to establish distinct areas for its management with data observed in only one crop cycle. Krigagem has proved useful for mapping the attributes studied.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Pós-graduação em Agronomia (Horticultura) - FCA

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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The landfill biogas can be an alternative energetic resource as a fuel to electrical energy generators, although, there are not too many techniques to prospect the gas. Usually, landfills receive home waste, which in most are constituted by organic matter whose degradation by anaerobic activity produces the biogas. Geophysics is an important tool in environmental studies and the electrorresistivity, an important method employed in contaminated areas by slurry or necroslurry, including a monitoring for each contaminator flow. The electrorresistivity has not too much application in finding biogas. For this work, two biogas drains in Rio Claro-SP landfill were selected: one whose waste disposition correspond to the initial activities in the landfill and another drain whose disposition started more recently. The result consists in a higher biogas production if compared to the biogas from the older drain. The present paper consists in a monitoring along one year, with dates collection in each fifteen days. These dates were tabled in Excel 2010 program and graphics of resistivity x depth were generated. Hereafter, most variable resistivity values depth were chosen, to further graphics pluviosity x resistivity generation in Grapher 8 program and the biogas output (m³/h) in monitoring period. The use of pluviosity parameter can be justified by its influence above resistivity. The results show that there is a horizon with possibly biogas accumulation. Lastly, the method was effective, although, for any application of geophysical methods, the knowledge about its limitations is necessary; in this case the influence of pluviosity and also that the measurements were made in one single point, it will not show any side variation

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Crop yield is influenced by several factors with variability in time and space that are associated with the variations in the plant vigor. This variability allows the identification of management zones and site-specific applications to manage different regions of the field. The purpose of this study was the use of multispectral image for management zones identification and implications of site-specific application in commercial cotton areas. Multispectral airborne images from three years were used to classify a field into three vegetation classes via the Normalized Difference Vegetation Index (NDVI). The NDVI classes were used to verify the potential differences between plant physical measurements and identify management zones. The cotton plant measurements sampled in 8 repetitions of 10 plants at each NDVI class were Stand Count, Plant Height, Total Nodes and Total Bolls. Statistical analysis was performed with treatments arranged in split plot design with Tukey’s Test at 5% of probability. The images were classified into five NDVI classes to evaluate the relationship between cotton plant measurement results and sampling location across the field. The results have demonstrated the possibility of using multispectral image for management zones identification in cotton areas. The image classification into three NDVI classes showed three different zones in the field with similar characteristics for the studied years. Statistical differences were shown for plant height, total nodes and total bolls between low and high NDVI classes for all years. High NDVI classes contained plants with greater height, total nodes and total bolls compared to low NDVI classes. There was no difference in Stand Count between low and high NDVI classes for the three studied years. The final plant stand was the same between all NDVI classes for 2001 and 2003 as it was expected due to the conventional seeding application with the same rate of seeds for the entire field.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)