Nutritional and microbiological evaluation of meat and bone meal produced in the state of Minas Gerais

The present study investigated the chemical composition and metabolizable energy levels of ten meat and bone meals (MBM) produced in Minas Gerais state (Experiment I) and evaluated the growth performance of broilers fed with diets containing those MBM (Experiment II). In the first experiment, energy values (apparent metabolizable energy [AME] and corrected apparent metabolizable energy [AMEn]) of ten different MBM were determined using the traditional method with total collection of excreta. Four hundred forty 21 day-old Hubbard broilers were used. A reference corn and soybean meal-based diet was replaced in 20% by the feed containing MBM to be tested. A completely randomized experimental design was used with eleven treatments (one reference diet and ten MBM), four repetitions per treatment and 10 birds per repetition (5 males and 5 females). In the second experiment, five MBMs from the ten analyzed in Experiment 1 were used as phosphorus source and compared to a diet containing bicalcium phosphate. The growth performance of the broilers fed with these diets was analyzed, considering two ages of the onset of MBM inclusion in the diet (1 or 7 days of age). One-day-old Hubbard broilers (1,320 birds) were housed in 44 plots with 30 birds per experimental unit. The experiment consisted of 11 treatments in a 5x2 factorial arrangement, with five sources of MBM, two ages for the onset of inclusion, and a reference treatment without addition of MBM. The results obtained showed a great variation in the chemical composition and apparent metabolizable energy of the evaluated meals. No significant differences were found on the performance of broilers fed diets with different MBM or the diet with bicalcium phosphate as phosphorus source. The performance of broilers was not significantly influenced by the onset of MBM inclusion in the diets

Hyper-heuristics: A survey of the state of the art

Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the goal of automating the design of heuristic methods to solve hard computational search problems. An underlying strategic research challenge is to develop more generally applicable search methodologies. The term hyper-heuristic is relatively new; it was first used in 2000 to describe heuristics to choose heuristics in the context of combinatorial optimisation. However, the idea of automating the design of heuristics is not new; it can be traced back to the 1960s. The definition of hyper-heuristics has been recently extended to refer to a search method or learning mechanism for selecting or generating heuristics to solve computational search problems. Two main hyper-heuristic categories can be considered: heuristic selection and heuristic generation. The distinguishing feature of hyper-heuristics is that they operate on a search space of heuristics (or heuristic components) rather than directly on the search space of solutions to the underlying problem that is being addressed. This paper presents a critical discussion of the scientific literature on hyper-heuristics including their origin and intellectual roots, a detailed account of the main types of approaches, and an overview of some related areas. Current research trends and directions for future research are also discussed