This research aimed at assessing the spatial variability and relationships between factors that affect cotton (Gossypium hirsutum L.) yield. Plant and soil data were collected by a 90 ha area divided in a regular grid of 100 m. In order to detect the variation at small scale, more intense samplings were made with spacing of 33 m, resulting in 5 "clusters" and totalizing 170 samples. Data were submitted to descriptive statistical analysis, geostatistic and interpolation through ordinary kriging. Variability expressed by the coefficient of variation was from low to moderate for all the variables except for retained bolls and soil P content. Geostatistical analysis indicated that most cotton yield factors presented spatial dependence and this should be considered when defining sampling schemes for soil and crop management practices.

The number of Tetrastischus howardi (Olliff) females to be released and their dispersion should be known, that way, used D. saccharalis pupae as sentinel host to measure parasitism as function of the release density of the parasitoid and its location in the field. Two sets of trials were run aiming first to define the number of parasitoids to be released and the dispersal of the parasitoid using plots in sugarcane commercial fields, respectively. Pieces of sugarcane stalk holding sentinel pupae were taken to the field and exposed to parasitism in both trials. The parasitoid was released at the rate of 20, 40, 80, and 160 females per sentinel pupa, except for the control plot without releasing. The parasitism rate was calculated based on the recovered pupae after 96 h of exposure time from releasing the parasitoids. The models estimated the best parasitism rate by releasing 102 parasitoids per pupa. In the second trial, sentinel pupae were arranged in five subsequent circles corresponding 4, 8, 12, 16, and 20 m around the central parasitoid releasing point at rate of 4, 8, 12, 16, and 18 pupae per circle. The mean estimated dispersal distance was 7.64 m, with a covering area of 80.07 m 2 . Based on these findings, release of T. howardi is recommended in 125 points per hectare of sugarcane at rate of 102 females per pupa of the pest aiming to achieve homogeneous distribution and parasitism.

RESUMO:A biomassa polidispersa tem como uma de suas principais características as variações das dimensões e dos formatos de suas partículas. Os métodos de determinação do diâmetro médio por peneiramento, amplamente utilizados devido a sua relativa simplicidade e baixo custo, quando aplicados a materiais heterogêneos, como a biomassa polidispersa, podem levar a resultados equivocados. Assim, com o objetivo de obter resultados mais precisos, foram avaliados três métodos de determinação do diâmetro médio de partículas de biomassa polidispersa, baseados na técnica de fracionamento por peneiramento mecânico: um de forma analítica (Diâmetro de Sauter) e outros dois por meio de análise gráfica das funções de distribuição das partículas (Função de Densidade de Distribuição Mássica e Função Cumulativa/Aumentativa de Distribuição). O método baseado na análise gráfica da função da distribuição da densidade mássica (FDDM) foi o mais eficiente para a análise do bagaço de cana, pois permitiu identificar as diferentes populações existentes e identificar com clareza as dimensões características, mostrando assim ser uma poderosa ferramenta para a análise granulométrica de biomassas polidispersas. PALAVRAS-CHAVE:bagaço de cana-de-açúcar, diâmetro médio, distribuição granulométrica, método gráfico, método analítico. CHARACTERIZATION OF PARTICLE SIZE OF POLYDISPERSED BIOMASS BY MECHANICAL SIEVINGABSTRACT: Polydispersed biomass has as one of the main features variations in particle dimension and size. Mean diameter determination methods by screening are widely used due to their relative simplicity and low cost. However, when applied for heterogeneous materials such as polydispersed biomass, they can lead to misleading results. Thus, we evaluated three methods for determining mean diameter of polydispersed biomass particles, aiming at most accurate results. The methods are based on size fractionation by mechanical sieving: one analytical (Sauter diameter) and two by graphical analysis of particle distribution functions (Mass Distribution Density -MDD and Cumulative/ Augmentative Distribution -CAD). The method based on graphical analysis of mass distribution density (MDD) was the most efficient for sugarcane bagasse analysis, once it enabled detecting different populations and clearly identifying their respective characteristic dimensions. Therefore, it is a powerful tool for particle size analysis of polydispersed biomass.KEYWORDS: sugarcane bagasse, mean particle size, particle size distribution, analytical method, graphical method. INTRODUÇÃOAs biomassas sólidas porosas são caracterizadas por apresentarem grande variedade de partículas, de diferentes geometrias e dimensões, bem como por apresentarem características físico-químicas distintas (CORTEZ et al., 2008). Em se tratando de resíduos agrícolas ou agroindustriais,

Sandy-textured soils are naturally more vulnerable to the erosion process and their exploitation, although possible, is often performed inappropriately, favoring its degradation. In this context, this study aimed to classify the rainfall erosivity in a region of sandy soils to identify critical situations of soil and water loss and also correlate it with rainfall data to assess whether there is temporal dependence of this variable using geostatistical techniques. The potential for alternative and sustainable production systems to be used in regions with sandy soils was also analyzed. Historical data of precipitation in the study region were analyzed to determine the average monthly and annual erosivity indices, which were classified and its temporal dependence was assessed by applying geostatistics. NDVI data from satellite images were used to investigate the soil cover pattern in different production systems. Geostatistics was adequate for the analysis of rainfall erosivity, which showed moderate to strong temporal dependence. It was classified between strong and very strong and was highly dependent on precipitation, with events of higher erosion potential between October and March in the studied region. The vicious circle of degradation of sandy soils, such as those of the Bolsão region of Mato Grosso do Sul, Brazil, can be modified by adopting alternative and sustainable production systems that value the maximization of soil cover.