376 resultados para Dietas artificiais
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Zootecnia - FCAV
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Pós-graduação em Zootecnia - FMVZ
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Zootecnia - FCAV
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Based on fish production performance, this study assessed the feasibility of replacing SBM with CSM in practical diets for cage-raised Nile tilapia during the finishing phase. To accomplish this research, four isoproteic (32% CP) and isoenergetic (2500 Kcal/kg of DE) diets were formulated. Control diet (T1) contained 30 % of SBM and 0% of CSM. The other three diets contained: 20% of SBM and 10% of CSM (T2), 10% of SBM and 20% of CSM (T3) and 0% of SBM and 30% of CSM (T4). Lysine and Methionine deficiency was compensated for with synthetic amino acid (L-lysine and DL- methionine) supplementation. Experimental design was completely randomized with four treatments and four repetitions. Data were analyzed with SAS PROC GLM through co-variance analysis, adding initial mean weight as a co-variable, followed by Dunnett test. The system used to calculate the profit part was Partial Budget Analysis in Aquaculture, proposed by Shang (1990). Profit was significantly different at T3 when compared to T1 (control). It was concluded that the addition of 20% of CSM to finishing diets can improve cage-raised Nile tilapia profitability.
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The objective of this work was to typify, through physicochemical parameters, honey from Campos do Jordão’s microrregion, and verify how samples are grouped in accordance with the climatic production seasonality (summer and winter). It were assessed 30 samples of honey from beekeepers located in the cities of Monteiro Lobato, Campos do Jordão, Santo Antonio do Pinhal e São Bento do Sapucaí-SP, regarding both periods of honey production (November to February; July to September, during 2007 and 2008; n = 30). Samples were submitted to physicochemical analysis of total acidity, pH, humidity, water activity, density, aminoacids, ashes, color and electrical conductivity, identifying physicochemical standards of honey samples from both periods of production. Next, we carried out a cluster analysis of data using k-means algorithm, which grouped the samples into two classes (summer and winter). Thus, there was a supervised training of an Artificial Neural Network (ANN) using backpropagation algorithm. According to the analysis, the knowledge gained through the ANN classified the samples with 80% accuracy. It was observed that the ANNs have proved an effective tool to group samples of honey of the region of Campos do Jordao according to their physicochemical characteristics, depending on the different production periods.
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The aim of this study was to evaluate the quality of spray droplet spectrum on coffee tree, by using different equipments and syrup volumes. The experiment was set up in a coffee farm, Acaiá variety, Campos Gerais city, MG, Brazil. The treatments were three syrup volumes (150, 300 and 600 L/ha). The lower volume was sprayed with the pneumatic sprayer Martignani, Whirlwind B612 Autonom-Trac mode, and the other volume rates using the conventional hydraulic sprayer to coffee tree. It was possible concludes that the spray volume can be reduced in applications on coffee tree using the pneumatic sprayer.
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Pós-graduação em Ciência e Tecnologia Animal - FEIS