Utilização do óleo extraído dos resíduos da filetagem de tilápia (Oreochromis niloticus) para produção de biodiesel

The aims of this study were to evaluate the potential of the oil extracted from tilapia residues filleting for biodiesel production, select the one that presents the greatest potential for this purpose and characterize the obtained biodiesel to be neutralized or refined and analyzed according to their physicochemical and yield characteristics. For this, the crude heads, carcasses and offal which have undergone physical and chemical analysis and yield were extracted. For this, the crude oil was extracted from the heads, carcasses and guts, which have passed through physicochemical and yield analysis.For the statistical analysis, a completely randomized design was used with 3 treatments (head, carcass and viscera) and 5 replications.It was observed significant differences in the oils (P <0.05) being the viscera oil the one that showed higher yield although it presented the worst values for all evaluated indices. For this reason this oil was selected for further studies. In this new stage of the study the treatments were: neutralized crude oil and viscera refined oil with different volumes of NaOH 16%.It was adopted a completely randomized design, with a 2x3 factorial (types of oil x soda volumes) with 3 replications. The analyzed variables were acid value, saponification index, peroxide value and iodine value. It was also evaluated the performance of all the obtained biodiesel. It can be concluded that: among the filleting residues oil of tilapias, the one which is more suitable for biodiesel production, due to its high yield, was the viscera oil. The use of all stages of refining is indispensable, once the obtained index and the yield were greater in the biodiesel refined oil; the produced biodiesel from tilapia’s viscera oil meets the ANP standards and, therefore, it is adequate for use.

Componentes principais na elaboração de índices de provas de desempenho em bovinos

The principal component analysis assists the producers in making decision of which evaluated features must be maintained in performance tests indexes, according to the variation present in these animals evaluated. The objective in this study was to evaluate a set of characteristics measured in a performance test in semifeedlot cattle of the Simmental and Angus breeds, by means principal component analysis (PC), aim to identify the features that represent most of the phenotypic variation for preparation of indexes. It was used data from 39 Angus and 38 Simmental bulls from the Santa Éster farm, located in Silvianópolis - MG. The performance test period was from october 2014 to february 2015. The features evaluated in the test were: final weight (FW), average daily gain weight (GW), respiratory rate (RR), haircoat temperature (HT) and rectal (RT), hair number (HN), hair length (HL), hair thickness (HT), muscularity (MUSC), racial characteristics, angulation, reproductive and balance (BAL), height of the front and back, width and length of croup, body length, depth and heart girth, subcutaneous fat thickness and rump (FTR), loin eye area and marbling (MAR). It was used PRINCOMP from SAS program for procedure the PC analysis. It was found that of the 27 features evaluated, the first four PC for Simmental breed explained 74% total variation data. The four PC selected with the corresponding weighting coefficients formed the following index: (0.27 * FW) + (0.47 * MUSC) + (0.50 * HL) + (0.39 * HT). Since the characteristics related to the adaptability of great importance for the studied breed, it was decided to keep the index of evidence for the Angus breed, the feature hair number, because there is a feature that presented a great variability and occupied one of the first principal component. Thus, the Angus index was composed by five features, with 79% total variation data, resulting in the following formula: (0.26 * FW) + (0.33 * BAL) + (0.58 * MAR) - (0.43 * FTR) – (0.38 * HN). By the principal component analysis it was possible to minimize the features number to be evaluated on performance tests from that farm, making the animal selection rapidly and accurate.