130,633 research outputs found

    Effect of either sodium selenite or Se-yeast supplementation on selenium status and milk characteristics in dairy goats.

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    This study aimed to determine the effects of dietary Se source on goat’s milk and blood Se status, and its subsequent effects on a number of milk characteristics. Ninety lactating dairy goats fed the same basal diet were randomly allocated to 1 of 3 dietary treatments: negative control (CTRL), containing background Se only (dietary concentration of 0.13mgSe kg−1 DM); selenium yeast (SY) as the Se supplement (0.26mgSe head−1 d−1 of Se–yeast individually offered); sodium selenite (SS) as the Se supplement (0.26mghead−1 d−1 of sodium selenite individually offered). The period of supplementation was 112 d. Jugular venous blood samples (before morning meal) and milk samples (a.m. milking) were taken from 10 goats/treatment on d 0, 28, 56, 84 and 112, and milk yields recorded. On d 84 three Italian fresh cheeses were manufactured from bulk milk taken from each treatment. Selenium content of whole blood, plasma, milk and cheese was determined and erythrocyte glutathione peroxidase (GPX-1) activity was also measured. The proportion of Se incorporated as selenomethionine (SeMet) or selenocysteine (SeCys) in pooled whole blood samples was determined on d 0, 56, and 112. Milk samples were analysed for fat, protein, lactose, somatic cell count, thiocyanate and lactoperoxidase activity. Keeping quality of pasteurized milk was measured using pH, clot on boiling and alcohol stability tests. Data were analysed as repeated measures. Both Se sources, when compared to CTRL, increased GPX-1 activity (P < 0.05), the Se content of blood (P < 0.001) and plasma (P < 0.05). However, there were no differences between sources neither on GPX-1 activity nor on the Se content of whole blood and plasma. Despite this lack of difference in total Se in whole blood there were greater increases in blood SeMet contents in SY supplemented animals when compared to CTRL and SS. Milk Se content was only numerically higher in SS when compared to CTRL but greater in SY when compared to both SS and CTRL (P < 0.001). Cheese Se content mirrored the Se content of milk. Milk yield and milk characteristics were not affected by Se supplementation. These results seem to indicate a greater efficiency of uptake and incorporation of Se into milk in those animals supplemented with Se–yeast when compared to those receiving comparable doses of selenite

    Relationships between chlorinated hydrocarbons in vegetation and socioeconomic indices on a global scale

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    Many advances have been made in the comprehension of the environmental distribution of persistent organic chemicals. Previous studies on chlorinated hydrocarbons in vegetation have shown that physicochemical properties in combination with environmental characteristics are the most important factors in determining the distribution pattern in remote areas, while present and past use seem to be the most important element near source areas. To better understand how a country's technological level and socioeconomic conditions impact on the environment in terms of organic contamination, several published data on contamination in vegetation by HCHs, HCB, and DDTs along with a new set of results from different countries were considered in relation to socioeconomic indices (Gross National Product per capita and Human Development Index). HCB and secondly γ-HCH seem to be linked to the economic development, while among the DDTs only the DDT/ DDE ratio shows a significant relationship with the considered indices. The proposed relationships between pollution and development highlight new elements that contribute to the understanding of the inputs and distribution of organic contaminants

    A FUGACITY MODEL OF PESTICIDE RUNOFF TO SURFACE-WATER - DEVELOPMENT AND VALIDATION

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    Real field data for pesticide release to surface water are compared with data obtained by simulations of a fugacity-derived model. This was done for several herbicides, applied on to two basins, characterized by different soil properties. The basin were hydraulically isolated and data for water input (rainfall and irrigation), output (outflowing surface water) were recorded, together with concentration of the investigated pesticides in the outflowing water. A fugacity model was developed to take into account the unsteady-state condition of the actual field treatments, since pesticides are typically applied once or twice on the same area. The model allows for several pesticide applications on different areas of the basin at different times and for different reaction half lives, that may change during the simulation time, depending on environmental conditions. A “user friendly” program for Windows® was written, allowing for calculations and plotting of the results. The comparison between predicted and measured concentrations indicated that the model is a useful tool for the prediction of surface water concentration
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