ABSTRACT The objective of this study was to evaluate the effects of supplementation of two different enzymatic complexes, fibrolytic (NSPases) or amylolytic (EXP3066) enzymes, on growth performance, digestibility, behavior, and carcass characteristics of feedlot cattle. Thirty-six ½ Angus yearling bulls with an average initial weight of 391±5.0 kg were used in this experiment blocked by weight in a completely randomized design divided in three treatments: control, NSPases, and EXP3066. The basal diet was composed of 85% whole corn grain and 15% nucleus. NSPases increased average daily gain on days 63 and 84, and gain:feed ratio on days 42, 63, and 84. Total carcass weight and carcass daily gain were improved by 4.8% and up to 6.0% with EXP3066 and NSPases supplementations, respectively. The group that received NSPases supplementation showed even greater carcass feed efficiency when compared with animals in the control group. There was an increase in apparent dry matter digestibility and a decrease of fecal whole grain residual percentage with enzyme supplementation. Enzyme supplementation affected hot carcass weight and EXP3066 provided greater values for ribeye area and marbling compared with control. Exogenous enzymes improve performance and carcass traits in feedlot cattle fed high-grain diet.

RESUMO A predição dos valores de energia metabolizável (EM) da farinha de carne e ossos (FCO) para suínos é uma ferramenta interessante, mas os modelos usados para predizer esses valores devem ser validados para garantir maior precisão. Objetivou-se com este trabalho, determinar a composição química e energética de diferentes FCO para suínos; ajustar e validar modelos de predição da EM, a partir da composição química, e validar os modelos, utilizando um conjunto de dados independentes. Foram utilizados 32 suínos machos e castrados, com peso médio inicial de 26,75 ± 1,45 kg, distribuídos individualmente em delineamento experimental de blocos ao acaso, com oito tratamentos e quatro repetições. Os tratamentos consistiram em sete diferentes FCO que substituíram em 20% a ração referência. Para o ajuste das equações de predição, foi utilizado o procedimento estatístico Stepwise, em que a EM foi a variável dependente. Os valores de EM das FCO variaram de 1645 a 2645 kcal kg-1. As equações que, eficientemente, estimaram a EM da FCO, em condições brasileiras, foram: EM1 = -4233,58 + 0,4134EB + 72PB + 89,62MM - 159,06Ca; EM2 = 2087,49 + 0,3446EB + 31,82MM - 189,18Ca; EM3 = 2140,13 + 0,3845EB - 112,33Ca; EM4 = -346,58 + 0,656EB; e EM5 = 3221,27 + 178,96EE - 76,55MM e EM6 = 5356,45 - 84,75MM.

ABSTRACT The prediction of metabolizable energy (ME) of meat and bone meal (MBM) for pigs is an interesting tool, however, used models to predict these values must be validated in order to garantee higher precision. The aim of this study was to determine the chemical and energetic composition of different types of MBM for pigs and to adjust and validate models to better predict the ME based on the chemical composition. Thirty-two barrows, averaging an initial weight of 26.75 ± 1.45 kg, were individually allotted in a randomized block design with eight treatments and four replicates. The treatments consisted of seven types of MBM that replaced 20% of the basal diet. A stepwise procedure was the statistical procedure used to adjust the prediction equations and the ME was the dependent parameter. The validation of the adjusted models was performed using an independent databank of chemical and energetic composition of theBrazilian and international MBM. The metabolizable energy of different meat and bone meals ranged from 1645 to 2645 kcal kg-1. The equations that provide a good prediction of metabolizable energy of meat and bone meal for swine in Brazil are EM1 = -4233.58 + 0.4134GE + 72CP + 89.62ash - 159.06Ca; EM2 = 2087.49 + 0.3446GE + 31.82ash - 189.18Ca; EM3 = 2140.13 + 0.3845GE - 112.33Ca; EM4 = -346.58 + 0.656GE; EM5 = 3221.27 + 178.96fat - 76.55ash; and EM6 = 5356.45 - 84.75ash.