Polymorphism of α_S1-casein in goat milk: identification of A, B, E and F variants by biochemical and genetic analysis

Many researches, related to genetic polymorphism of αS1-casein in goat milk, showed a marked variability and implications in milk and dairy product traits. The genetic variants (from A to G) were associated with four levels of expression: 3,6 g/L per A, B and C (“strong” alleles); 1,6 g/L per E (“medium” allele); 0,6 g/L per F (“weak” allele) and 0 g/L per O (“null” allele). Differences existing among the A, B, C, D, E, F, G and O have been described (Grosclaude et al., 1994). To analyze genetic polymorphism of caseins from goat milk, distinct electrophoretic (Russo et al., 1986; Addeo et al., 1988) and chromatographic techniques (Jaubert and Martin, 1992; Iametti et al., 1999) were applied. In last years, the advancement in technological field is allowing the research of primary structure of protein variants (Ferranti et al., 1997; Trujillo et al., 2000) and basic sequence of new alleles (Martin et al., 1999; Bevilacqua et al., 2002; Ramunno et al., 2002). In this work, we employed electrophoretic protein separation (IEF and SDS-PAGE), chromatographic analysis (RP-HPLC) and molecular biology techniques based on polymerase chain reaction (real-time PCR) to detect αS1-CN genetic variants from goat milk. The utility of protein and DNA analysis combination was discussed

Polymorphism of αS1-casein in goat milk: identification of A, B, E and F variants by biochemical and genetic analysis

Many researches, related to genetic polymorphism of αS1-casein in goat milk, showed a marked variability and implications in milk and dairy product traits. The genetic variants (from A to G) were associated with four levels of expression: 3,6 g/L per A, B and C (“strong” alleles); 1,6 g/L per E (“medium” allele); 0,6 g/L per F (“weak” allele) and 0 g/L per O (“null” allele). Differences existing among the A, B, C, D, E, F, G and O have been described (Grosclaude et al., 1994). To analyze genetic polymorphism of caseins from goat milk, distinct electrophoretic (Russo et al., 1986; Addeo et al., 1988) and chromatographic techniques.......

Assessment of Patient Satisfaction with Pharmaceutical Community Services in R. Macedonia

Measuring and analyzing patients’ satisfaction with pharmacist’s consultation is a relatively new development which is enforced by the new demands of society. High number of variables, such as their state of health, socio-demographic variables (age, sex, and cultural level), characteristics of their healthcare provider (affective care, quantity of information, technical expertise, etc), or waiting time are related to patients’ satisfaction. At present, in R.Macedonia, there are 834 community pharmacies, which accounts for pharmacy vs. population ratio of 1:2500. The pharmacies are situated in 8 different regions (the Vardar region, Pelagonia, North-East, South-West, Polog, East and South East). The present cross-sectional descriptive study based on interview data was carried out in order to ascertain patients’ satisfaction from their experience with the cumulative quality of pharmaceutical services. A total of 651 patients of both sexes (59,3% male and 39,1% female) were included in the study. The results from our analysis showed the influence of different factors in the process of choosing pharmacy: distance, medicines price, well-stocked with medicines, professional advice by the employees in the pharmacy, hygiene in pharmacies, the privacy they offer, waiting time, possibility for private conversation with professionals

Regional simulation of long-term organic carbon stock changes in cropland soils using the DNDC model, 2: scenario analysis of management options

The development of successful agricultural policies in response to the Kyoto Protocol is aided by the identification of regions where the effects of soil organic carbon (SOC) sequestration measures can be maximized. We describe a modelling approach which incorporates a spatial analysis of the results from regional simulation under different management alternatives. SOC stock changes in Flemish cropland soils, simulated with the DNDC model, were previously fitted to a large data set of SOC measurements for the period 1990-2000. Using the results of this study, simulations with DNDC of SOC stock changes during the period 2006-2012 including the Kyoto commitment period were carried out at the community level for a business-as-usual (BAU) scenario and seven alternative agricultural management options for SOC sequestration. The baseline SOC stock decreased during that period by 0.15 t OC ha(-1) year(-1) compared with 0.48 t OC ha(-1) year(-1) in the 1990s. All alternative scenarios resulted in net SOC storage compared with the BAU scenario, but none of the individual scenarios were able to increase the average absolute SOC stock. Overall, spatial variability in SOC storage for the selected management options was strongly dependent on the current distribution of crops and associated management. The modelling approach used in this study provides a case study in regional scale modelling of SOC sequestration and is applicable to other regions in Europe with comparable intensive agriculture

Potential Impact of Fertilization Practices on Human Dietary Intake of Dioxins in Belgium

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