988 resultados para digestibilidade de aminoácidos


Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Zootecnia - FCAV

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Agronomia (Proteção de Plantas) - FCA

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Zootecnia - FCAV

Relevância:

10.00% 10.00%

Publicador:

Resumo:

This study was carried out at Campo Experimental do Cerrado in Embrapa Amapá, Brazil, aiming to select, based on the agronomic characteristics of productivity, dry matter and nutritional quality of the forage, the accesses of species from the genus Paspalum that possess potentiality of use as forage plants. During the years 2000, 2001 and 2002, 21 accesses of grasses were evaluated, including 18 of Paspalum and three control species: Brachiaria decumbens, Andropogon gayanus cv. Baetí and Brachiaria brizantha cv. Marandú. The experimental design was complete randomized block with three replications. The variables studied were: production of dry matter, neutral detergent fiber on the dry matter, in vitro digestibility of dry matter and crude protein content in the dry matter. All the accesses showed marked reduction in productivity and quality of produced forage, when the climatic conditions became unfavorable, showing that Paspalum as the other tropical grasses have high seasonal production. Based on the variables studied, the selected accesses were P. guenoarum (BRA-014851), P. atratum (BRA-9661) and Paspalum sp. (BRA- 009407).

Relevância:

10.00% 10.00%

Publicador:

Resumo:

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.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

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.