474 resultados para Vacas charolês


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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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Pós-graduação em Zootecnia - FMVZ

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Pós-graduação em Genética e Melhoramento Animal - FCAV

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

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The informal milk is recognized as the product marketed without inspection. We evaluated the microbiological quality, nutritional ingredients and substances inhibiting bacterial growth in 100 informal samples from cows milk, marketed in the southwest region of the state of Sao Paulo, Brazil. It was found that 77% of Somatic Cell Count (SCC) and 86% of Total Bacterial Count (TBC) of the samples were at odds with the maximum values required by Instruction Rules 62 of the Ministry of Agriculture and Livestock Supply. It was identified to solids contents in disagreement (36%), protein (23%), fat (38%), nonfat dry extract (43%) and 73% urea nitrogen. In 59% of the samples was detected residues of the bacterial growth inhibitors. Were isolated 240 strains of micro-organisms with a prevalence of enterobacteria, streptococci, staphylococci and fungi. The informal milk is marketed in the region without the minimum hygienic conditions and present risks to public health, and represents serious socio-economic problem for the region.

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To evaluate the biochemical profile and protein concentration of whey from milk samples of healthy Murrah primiparous and pluriparous buffaloes, 30 female buffaloes were analyzed during a complete lactation. The animals were divided into three groups: G1 = 10 primiparous buffaloes, G2 = 10 pluriparous buffaloes with 2-3 lactations and G3 = 10 pluriparous buffaloes with > 3 lactations. The lactation period was divided into: early stage (I: 1-3 months of lactation), intermediate stage (T: 4-6 months of lactation) and final stage (F: 7-9 months of lactation). Before milk sampling, physical examination of the mammary gland, strip cup test and California Mastitis Test (CMT) were performed. After mammary quarters asepsis, 20mL of milk were collected monthly from each mammary quarter, during a complete lactation, in sterilized plastic bottles without preservative, in order to perform microbiological isolation, biochemical profile and protein electrophoresis in sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), and 30mL of milk from each mammary quarter were collect, in sterilized plastic bottles containing preservative bronopol to perform the somatic cell count (SCC). A total of 1,042 milk samples were collected from the experimental groups during lactation, of which 923 samples showed negative reaction to CMT and negative microbiological isolation and were selected to biochemical profile analysis and protein electrophoresis in SDS-PAGE. There were influence of parity order and stage of lactation in biochemical profile and protein concentration of healthy Murrah buffaloes'whey. Primiparous buffaloes (G1) showed higher gamma-glutamyltransferase (GGT: 2,346 U/L), alkaline phosphatase (ALP: 181 U/L), phosphorus (P; 56.6mg/dL), potassium (K; 32.0mg/dL) and alpha-lactalbumin (458mg/dL). Buffaloes with 2-3 lactations (G2) showed higher SCC (70,700 cells/mL) and higher concentrations of total protein (1.55g/dL), albumin (100mg/dL), magnesium (Mg; 8.80mg/dL), chlorides (Cl; 176mg/dL), iron (Fe; 10.7 mu g/dL), sodium (Na; 178mMol/L) and lactoferrin (59.5mg/dL). Bufalloes with > 3 lactations (G3) showed higher concentrations of total calcium (Ca; 41.8mg/dL), ionized calcium (iCa; 2.92mMol/L), immunoglobulin A (IgA; 1.32mg/dL), serum albumin (99.1mg/dL), immunoglobulin G (IgG; 49.7mg/dL) and beta-lactoglobulin (1,068mg/dL). During lactation it was observed increase in SCC, GGT, ALP, total protein, albumin, P, Mg, Cl, Na, lactoferrin, serum albumin, IgG and alpha-lactalbumin, as well as decrease in concentrations of Ca, Fe, iCa, K, IgA and beta-lactoglobulin in buffaloes'whey. The results may be used as reference for buffaloes and to support diagnosis and prognosis of diseases common to lactation periods.

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This research aimed to develop a Fuzzy inference based on expert system to help preventing lameness in dairy cattle. Hoof length, nutritional parameters and floor material properties (roughness) were used to build the Fuzzy inference system. The expert system architecture was defined using Unified Modelling Language (UML). Data were collected in a commercial dairy herd using two different subgroups (H-1 and H-2), in order to validate the Fuzzy inference functions. The numbers of True Positive (TP), False Positive (FP), True Negative (TN), and False Negative (FN) responses were used to build the classifier system up, after an established gold standard comparison. A Lesion Incidence Possibility (LIP) developed function indicates the chances of a cow becoming lame. The obtained lameness percentage in H-1 and H-2 was 8.40% and 1.77%, respectively. The system estimated a Lesion Incidence Possibility (LIP) of 5.00% and 2.00% in H-1 and H-2, respectively. The system simulation presented 3.40% difference from real cattle lameness data for H-1, while for H-2, it was 0.23%; indicating the system efficiency in decision-making.

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A total of 3.035 lactations of Holstein cows from four farms in the Southeast, to check the influence of data structure of milk yield on the genetic parameters. Four dataset with different structures were tested, weekly controls (CW) with 122.842 controls, monthly controls (CM) 30.883, bimonthly controls (CB) with 15,837 and quarterly controls (CQ) with 12,702. The random regression model was used and was considered as random additive genetic and permanent environment effects, fixed effects of the contemporary groups (herd-year-month of test-day) and age of cow (linear and quadratic effects). Heritability estimates showed similar trends among the data files analyzed, with the greatest similarity between dataset CS, CM and CB. The dataset submitted all the CB estimates of genetic parameters analyzed with the same trend and similar magnitude to the CS and CM dataset, allowing the claim that there was no influence of the data structure on estimates of covariance components for the dataset CS, CM and CB. Thus, milk recording could be accomplished in a CB structure.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)