977 resultados para soil sampling intensity


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

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Para a realização de uma análise confiável, a etapa mais sensível e que merece extremo cuidado é a amostragem do tecido vegetal e do solo. A amostra mais adequada é aquela que representa o melhor possível a área de estudo, exigindo um mínimo de plantas amostradas para atender a esse objetivo e com o menor número possível de amostras simples coletadas. Assim, o presente trabalho procurou dimensionar o número de plantas a serem amostradas para a diagnose do estado nutricional, bem como o número de amostras simples necessárias para formar a amostra composta, para fins de avaliação da fertilidade do solo cultivado com caramboleiras. O estudo foi realizado em um pomar comercial de caramboleiras, no município de Vista Alegre do Alto (SP), empregando-se amostragem aleatória, coletando-se a sexta folha a partir do ápice do ramo da caramboleira, na altura mediana da frutífera, no florescimento da cultura, em 40 plantas. Foram coletadas, também, 30 amostras simples de solo, em zigue-zague, nas linhas da cultura, com o auxílio de um trado tipo holandês, nas camadas de 0 a 0,2 m e 0,2 a 0,4 m. Considerando-se aceitável um erro amostral de 10%, 21 plantas de carambola seriam suficientes para as determinações químicas foliares de macronutrientes. Já para os micronutrientes, seriam necessárias, no mínimo, 52 plantas amostradas. O aumento do número de amostras simples reduziu o erro porcentual na estimativa da média desejada, permitindo a recomendação de 14 e 17 amostras simples nas camadas de 0 a 0,2 m e 0,2 a 0,4 m (erro = 20%), respectivamente.

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

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The tractor is one of the machines that more traffics over the soil during the processes involving agricultural production. The interaction tractor/soil is made by the tires which, in most of the cases, are pneumatic. The tire type and the tractor travel speed, interfere directly on the pressure over the soil. One of the techniques employed to evaluate the alterations that tractor traffic causes in the soil is to measure its Cone Index. The aim of this research was to evaluate the same Cone Index alterations caused by an agricultural tractor equipped with both radial tires and bias ply tires, trafficking mobilized soil in four different travel speeds. The experiment was performed in a LATOSSOLO VERMELHO, located 22°51' S, 48°25'W and 770 m of altitude, in Botucatu-SP, Brazil. The soil mobilization was performed with a chisel plow and a disc arrow. The traction was accomplished with a John Deere tractor, model 6600, with 88 kW of power and 6,723 kg. Equipment requiring a force of 25kN was traced by the tractor draw bar. The experimental design was in randomized blocks with 4 × 2 factorial arrangements, with two distinct treatments corresponding to the types of tires (bias and radial) and the four travel speeds, with six replications. There were selected the following speeds: 3.5, 3.9, 5.1 and 5.9 km h-1. To determine the soil resistance, there was utilized MSSU - Mobile Soil Sampling Unit, with which the Cone Index was obtained in layers from 0-100, 100-200, 200-300, 300-400, 400-500 and over 500 mm deep. The Cone Index where evaluated in areas with non contact between tire and soil (ICn) and in the tire footprint track (ICp). There were calculated the Cone Index increments caused by the tractor tire (AIC) and the results showed that as the tractor travel speed increased, there were observed decrements in the medium values of cone index. The radial tire provided smaller values of the Cone Index in the superficial layer of the soil (0 to 100 mm) in relation to the bias ply tire, when the speed was approximately 6 km h-1. The increment in the Cone Index, promoted by the tractor, was more intense in the first 200 mm depth, but it also reached the layer from 200 to 300 mm.

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There are many methods used to estimate values in places no sampled for construction of contours maps. The aim of this study was to use the methods of interpolation kriging, inverse of the square of the distance and polynomial in the representation of the spatial variability of the pH of the soil in the organic and conventional management in the culture of the coffee plantation. For that, irregular meshes were built for soil sampling in the depth of 0-0,10 meters, totaling 40 points sampling in each area. For gauging of the interpolation methods they were solitary 10% of the total of points, for each area. Initially, the data were appraised through the classic statistics (descriptive and exploratory) and spatial analysis. The method inverse square of the distance and kriging has low error in estimating dados. The method of kriging presented low variation around the average in different managements.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)