The objective of the present study was to evaluate the feeding behavior of feedlot Nellore bulls fed two levels of concentrate (650 and 710 g/kg dry matter) with or without the inclusion of 350 g babassu mesocarp meal/kg dry matter in the concentrate. Twenty-eight animals at 18 months of initial age and 356.66±19.25 kg initial body weight were used. A completely randomized design was used with treatments in a 2 × 2 factorial arrangement. Increase in concentrate level from 650 to 710 g/kg dry matter did not change the feeding time, of 194.41 and 189.64 minutes/day, respectively. The inclusion of 350 g babassu mesocarp meal/kg dry matter in the concentrate increased the feeding time from 173.92 to 210.12 minutes/day, ensuring similar energy intake in relation to the diets without this byproduct. Rumination time was not changed by increasing the concentrate level in diets with 350 g babassu mesocarp meal/kg dry matter in the concentrate, with average values of 420.48 and 398.09 minutes/day for the levels of 650 and 710 g concentrate/kg dry matter, respectively. However, in diets without babassu mesocarp meal, the rumination time was reduced by the concentrate level, with average values of 452.14 and 409.76 minutes/day for 650 and 710 g of concentrate/kg dry matter, respectively. Time spent on other activities increased from 810.23 to 860.00 minutes/day with increase in the concentrate level, which was not changed in the diets containing babassu mesocarp meal. The inclusion of babassu mesocarp meal in the diet altered the feeding behavior of feedlot cattle, due to the need to increase the feeding time to maintain the energy intake.

Foi conduzido um estudo utilizando análise de semivariogramas para quantificar a autocorrelação espacial dos estoques de carbono (EC) no solo, biomassa da gramínea e das plantas daninhas em três parcelas experimentais de pastagens de Brachiaria brizantha cv. Marandu com níveis baixo, médio e alto de degradação, cultivadas em Neossolo Quartzarênico Órtico. As coletas das plantas e do solo foram realizadas em malha de amostragem regular com distâncias de 5 x 5 m em área de 900 m². Os EC das pastagens foram submetidos às analises de estatística descritiva, ao teste não-paramétrico de Kruskal-Wallis ao nível de 5% de significância, ao estudo geoestatístico e interpolação por krigagem ordinária. A variabilidade espacial do EC foi observada dentro e entre as pastagens de capim-Marandu com níveis baixo, médio e alto de degradação. A pastagem de capim-Marandu com nível baixo de degradação teve menor continuidade espacial, por apresentar menores alcances no EC, na biomassa da gramínea e na biomassa total (gramínea + plantas daninhas), no solo e no sistema solo x pastagem (solo + biomassa total). A grade de 5 x 5 m foi adequada para caracterizar a variabilidade espacial de pastagens de capim-Marandu com níveis de degradação baixo e alto. Área de pastagem de capim-Marandu com grau médio de degradação apresenta coeficientes de variação altos entre os valores EC; o que comprometeu a modelagem espacial que também pode ter ocorrido devido ao baixo número de amostras realizadas (n=36). Assim, pontos de amostragem menores que 5 m podem melhorar a precisão dos ajustes dos semivariogramas.

A study was carried using semivariogram analysis to quantify spatial autocorrelation of carbon stock (CS) in soil, grass and weed species biomass in pastures of Brachiaria brizantha, Marandu grass with low, medium and high degradation, and grown an entisol. The sampling of plants and soil were carried out in regular grid with distances of 5x5 m in an area of 900 m². Grassland CS was assessed through descriptive statistics, comparison of averages through the test Kruskal-Wallis at 5% level of significance, geostatistics and ordinary kriging analysis. The spatial variability of CS was observed within and between pastures with low, medium and high degradation. Pastures with low levels of degradation had less spatial continuity due to smaller ranges in CS in grass biomass and total biomass (grass + weed species), in soil carbon and soil versus grass (total biomass + soil). The grid of 5x5 m was adequate to characterize the spatial variability of pasture with low and high levels of degradation. Areas of Marandu grass with average degree of degradation has high coefficients of variation (CV) between the CS values, which negative by affected the spatial modeling. High CV may also be due to the low number of samples taken (n = 36). Sampling points in grid lower than 5 m can improve the accuracy of the adjustment of semivariograms.