The aim of this study was to investigate hepatitis A virus (HAV), hepatitis E (HEV), and rotavirus (RV) in fresh and processed meat traded on the border of Brazil with Argentina and Uruguay. In total, 159 samples of raw and processed foods of animal origin were collected in Paso de los Libres, Argentina (n = 53 raw meat, n = 24 processed meat) and Rivera, Uruguay (n = 55 raw meat, n = 18 processed meat), or were seized by the Brazilian International Agricultural Surveillance System-VIGIAGRO (Brazil-Argentina border) (n = 8 raw meat, n = 1 bush meat). All samples were tested for the presence of HAV, HEV, and RV genomes. HAV genes were detected in 18.23% of samples and RV genes in 23.89%. No HEV-positive samples were detected. HAV was also detected in two of the VIGIAGRO samples. Processed meats from Argentina and Uruguay had a higher rate of HAV and RV than raw meat (P > 0.05). The median HAV in the Argentinian and Uruguayan samples was 6.9 × 10 and 3.5 × 10 copies/g, respectively. The presence of RV viral genes in raw meats from Argentina was significant, and this was not observed in processed meats. The presence of HAV and RV genes in a significant portion of products from Argentina and Uruguay is a potential source of human infection. This also indicates precarious conditions of acquisition, processing, and manipulation, which could be improved by improved regulation of food across borders.
The aim of this study was to measure the chemical composition, microbiological profile, fermentative characteristics and the aerobic stability of the olive bagasse silages in natura and added with corn bran, soybean and rice bran in different times of sampling. The was completely randomized design in arrangement of plots subdivided in 4x3 time, with five replications. In the plots were allocated the main treatments, and in the subplots the sampling times were allocated. The fermentative characteristics was studied by determination of the dry matter (DM) content, pH and ammoniacal nitrogen (NH3-N), the microbiological by determining the populations of filamentous fungi, Clostridia, lactic acid bacteria and enterobacteria. In the nutrient profile study, the contents of mineral matter (MM), organic matter (OM), crude protein (CP), ether extract (EE), neutral detergent fiber (NDF), acid detergent fiber (ADF), lignin, cellulose, hemicellulose, nitrogen bound to acid detergent fiber (NIDA), nitrogen bound to neutral detergent fiber (NIDN), carbohydrate and total digestible nutrient (TDN). At the ensilage moment, it also has been determined in vitro dry matter digestibility (IVDMD) and in vitro digestibility of organic matter (IVDOM). The use of corn and rice bran provided a better fermentative profile in the studied ensilage. The pH of the silages added corn and rice bran has presented in 4.00 and 4.06 after 112 storage days, consequently. The adding of soybean bran provided the greatest CP values and non-fibrous carbohydrates (NFC) after the fermentative period, been it 131.55 g kg-1 of DM for CP and 176.28 g kg-1 of DM for NFC. The treatments without bran adding and rice bran added have demonstrated IVDOM levels of 581.12 g ka-1 od DM and 604.51 g kg-1 of DM, consequently. The studied meals improve the nutritional profile of the studied silages and are potentially usable as additives in olive bagasse silages.
The spring forage emptiness is an obstacle to the development of Brazilian livestock, including in the Bioma Pampa region. Feed strategies for this period contributed to the development of livestock and to the conservation of the biome. The objective of this work was to know the nutritional potential of forages during spring forage for use as strategies in the forage planning. The experiment had a completely randomized design, with ten forages and four replicates. The chemical composition, in vitro dry matter digestibility (IVDMD) and the total digestible nutrient content (NTD) of elephant grass, brachiaria cultivars Convert and Marandu, Tifton 68; diploid and tetraploid ryegrass; red, white and arrowleaf clover; and bird’s-foot trefoil. The grasses had a higher proportion of fibrous constituents, and lower levels of NDT and DMD, thus, lower nutritional value. Negative correlation between mineral matter and fibrous constituents with CP, TDN and IVDMD, was observed. Forages studied can be used as pasture alternatives for ruminants in the spring forage emptiness of the Pampa, Brazil, however, the strategy of using them should be a pasture planning.
Evaluating and characterizing production systems using farm characteristics allows the diagnosis of failing points. This diagnosis can be used to improve the productive and zootechnical indices. Little is known about the milk production systems in the state of Rio Grande do Sul, therefore, the aim of this study was to characterize the milk production systems of the Northwest, Center Western and Southwest mesoregions of Rio Grande do Sul, considering the infrastructure, milk handling, milk quantity and composition, and nutritional intake of the cattle. To conduct this study, 38 Milk Production Units (MPUs) registered at the Municipal Secretaries of Agriculture and Emater/Ascar-RS were randomly selected. After being randomly selected, the dairy farms were visited and a semi-structured guide questionnaire was applied and milk samples were collected from expansion tanks. The milk was analyzed for somatic cell counts (SCC) and total bacterial counts (TBC). Data were evaluated through principal component analysis and cluster analysis. Multivariate analysis allowed the investigated variables to be reduced into two main components (CP1 and CP2). These two showed eigenvalues greater than 1 (alpha> 1) and together explained 55.05% of the characteristics variability of the 38 MPUs studied. CP1 contemplated productive capacity and factors related to nutritional management of the MPUs, interfering directly with reproductive performance. CP2 comprised milk handling and daily production. Using these main variables, the data set generated from the 38 MPUs studied were adjusted and classified into five groups (G1, G2, G3, G4, and G5). The characteristics of these groups differed statistically especially in infrastructure and nutritional management of the cattle. Due to their particularities, each of these five groups of MPUs requires strategic technical interventions to improve their productive indexes.
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