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Groblje, Slovenia

Availability of healthy, nutritious and safe foods should be considered as fundamental and contemporary consumers would accept this as their granted right. The intensive lifestyle enables them to use own food sources very rarely. Instead, they are forced to choose products being available on the market. Responsibility for ensuring healthy and safe food is thus largely transferred to the food industry, but its offer to the consumer is not always fair and honest. Benefits stemming from the supply of adulterated foods are not a new phenomenon or a characteristic of modern society; it is irresistible temptation that reaches far into the past. The article highlights examples of food adulterations through the history as well as the causes, extent and consequences of abuse of consumer's dependence on food marketing system. Source


Jelen L.G.,University of Ljubljana | Skrabanja V.,Biotehniska Fakulteta
Acta Agriculturae Slovenica | Year: 2011

The impact of ambient and filtered solar UV-B radiation and of selenium foliar treatment on the yield of naked seeds in pumpkins, Cucurbita pepo L. was determined. Seed yield was higher when solar UV-B radiation was filtered out. The results suggested that the reduced yield under solar UV-B radiation was related to the oxidative damage, as selenium foliar treatment increased the yield under ambient radiation conditions. Source


Sixty percent of all known true bugs (Heteroptera) are phytophagous. Economically the most important species belong to Cimicomorpha and Pentatomomorpha groups. The representatives of the latter are specially important, since they are harmful on cultivated plants. The Pentatomidae family is the 3rd largest from the Heteroptera (sub)order, and its the most harmful representative in Slovenia and in neighbouring countries is Eurydema ventrale. It is specially important because of the lack of insecticides registered against this pest in Brassica crops, where it occur most numerously. Beside this the species does not have any efficient natural enemy. Notwithstanding it is possible to reduce the number of E. ventrale below the economic threshold with the use of some environmentally acceptable control measures. In this context the choice of suitable host plants is very important, especially with the aim of use their natural resistance as well as for the purposes of other environmentally acceptable control measures (intercropping, trap crops etc.). Source


Jelen L.G.,Biotehniska Fakulteta
Acta Agriculturae Slovenica | Year: 2011

The influence of air temperature on the chosen bee phenophases (Apis mellifera carnica Pollman) was studied in the period 1971-2007 in Novo mesto, Slovenia. The inter-annual phenophase variability (start, first bee pasture, pasture on black locust and pasture on linden) is high - variation interval is from 44 to 86 days. With time analysis it was established that as a result of higher air temperatures and earlier plant phenophases also the bee phenophases appear earlier in the last period. Statistically significant linear trend for the first bee pasture is -19 day/decade, for pasture on black locust it is -10 day/decade. Phenophase pasture on linden has no statistically significant trend. The correlation between phenological development and air temperature was studied with correlation analysis. The correlation coefficient values are between -0.45 and -0.70. All three phenophases are best correlated with average monthly temperatures in March and April. Simple regressions models for the prediction of the start of phenophases on the basis of air temperature were developed. As the models explanatory variables average monthly air temperatures and thermal time needed for an individual phenophase start were included. The accumulated thermal time was calculated as the sums of active temperatures (the sum of positive temperatures from January 1) and effective temperatures (the sum of temperatures above the temperature threshold 10 °C from February 28). The variability coefficients (KV) for the calculated thermal time are between 15 per cent and 43 per cent. With backward selection linear regression models for the prediction of time of the first bee pasture and pasture on black locust were formed. With the models we were able to explain 53 per cent to 91 per cent of variability at the start of phenophases. Source


Pogacar T.,Agencija Republike Slovenije za okolje | Kajfez-Bogataj L.,Biotehniska Fakulteta
Acta Agriculturae Slovenica | Year: 2011

Grass growth models are valuable tool for grassland management for a decision support application. The grassland growth model LINGRA, which was developed to predict growth and development of perennial rye grass across Europe is presented and some of the main equations are described in this work. Key process simulated in the model are light utilisation, leaf formatin and elongation, tillering and carbon partitioning. Integration time step is one day. LINGRA provides algorithms for the simulatin of grass growth under irrigated and non-irrigated conditins. Model is relatively simple, but it contains the most imprtant features of grass growth. Validation of the model from independent historical European data showed that model predictions are sufficiently accurate to make it a useful aid for on-farm decision-making processes. Source

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