Larissa de Assis Lima
Abstract:
As a result of pasture seasonality during the Brazil dry season forages do not provide sufficient amounts nutrients, to the animals production rates and because of this it is recommended the retention of quality forage as silage. Always aiming at the low cost of silage production, alternatives arise for forage conservation with the addition of wastes, allowing improvement of the chemical characteristics of the silage mass. Aiming chemical-bromatological determination, pH, gas production, recovery of DM, titratable acidity, ammonia nitrogen, aerobic exposure and in vitro digestibility of sorghum silage added with soybean crop residue, performed a experiment at the Federal University of Goiás, Regional Jataí, characterized by 10 mini-silos containing 1 kg of dry fine sand at the bottom, separated by a silage cotton fabric and fitted with Bunsen valve cap with type. After 50 days, the mini-silos were opened and made the analyzes. For evaluation of aerobic exposure, 500 g silage were separated into plastic buckets capacity 2 L in duplicate, one of which consisted of a mercury thermometer inserted into the mass. These buckets remained in an incubator at 25°C, with measurement of temperature (mercury thermometer and digital thermometer) of 12 in 12 hours to observe the increase of 2°C above ambient temperature. All data analyzes were performed using SAS version 9.3 (2010) a 5% probability program. For the effect of the addition of soybean residue on the compositional characteristics of the silage was considering completely randomized with six replications, and the comparison of levels of addition of soybean crop residue was orthogonal contrast. To evaluate the performance of aerobic exposure, used it as a split plot design, considering the effect of the addition of the residue in the plot and sampling day in the sub-plot. Comparisons between means were performed using the Tukey test. To compare the values of rate stability depending on the type of thermometer (mercury or infra red) was used regression equation between the two estimates, Y (Tdigital) = ß0+ ß1X (Tmercury), using the "t" test, to verify if the slope of the line obtained by regression differs from the ideal straight equality between techniques (Y = X). Also, analysis of variance was performed on the evaluation of the level of waste additions separately for each thermometer.
