DESIGN AND DEVELOPMENT OF A RELATIONAL DATABASE FOR FUNCTIONAL FOODS[1]
a),
Tomaž BARTOL and Bojana BOH
a) Univ. of Ljubljana, Biotechnical Fac., Agronomy Dept.,
Jamnikarjeva 101, SI-1000 Ljubljana, Slovenia, M.Sc.
ABSTRACT
We present design and construction of a relational database for functional
foods which are defined as foods used in everyday diet, and having
beneficial effects on health as well as reducing risks for diseases.
Database was designed according to Fienkelstein. It contains entities,
attributes, and primary keys. Main entities are represented by: biologically
active compounds, classification, properties, foods, physiological effects,
diseases, processes, legislation, bibliography, and functional
classification. Database was normalised and was constructed with MS Access
2000. It is based on dictionary of entities, attributes, relations, and
entity-relationship diagram. It contains data for 35 biologically active
foods. Classification tree was set up on the basis of descriptors from FSTA
thesaurus following a bibliometric analysis. The data were extracted from
140 documents (articles, books etc.). The database is represented with six
inter-linked forms (sheets): Classification, Biologically active compounds,
Foods, Diseases, Legislation, Bibliography and Retrieval (Search). It is
possible to search according to the following queries: (1) what are
functional foods, (2) which active compounds are contained in foods, (3)
classification of compounds, (4) which are the risk-reducing compounds, (5)
physico-chemical properties of compounds, and (6) legislation in the field
of functional foods. Application is available as CD-ROM and is accessible to
end-users.
Key words: functional
foods / relational databases / bibliographic databases / planning / design /
data collection / data processing / classification / documentation /
information science / bibliometrics / scientometrics / human nutrition /
health foods / disease prevention / biologically active compounds
[1]The article
presents a part of results from master thesis ‘Bibliometric analysis as
support for relational database design for functional foods’, carried
out by the autor at Natural Sciences and Engineering Faculty under
supervision of prof. B. Boh, Ph.D. and cosupervision of T. Bartol, Ph.D.
Agris category
codes: Q54
COBISS Code 1.01 Language: English
PREDICTION OF CHEMICAL COMPOSITION AND ENERGY VALUE OF HAY BY NEAR-INFRARED
REFLECTANCE SPECTROSCOPY (NIRS)
a), Jože VERBIČ and Drago BABNIK
a)Kmetijski
inštitut Slovenije,
Hacquetova 17, SI-1000 Ljubljana, Slovenija.
ABSTRACT
One hundred and fifty-eight hay samples with known chemical composition and
in vitro determined concentration of net energy for lactation (NEL)
were scanned over the wavelength range from 1100 to 2500 nm at 8 nm
intervals. Calibration equations for the prediction of dry matter (DM),
crude protein (CP), crude fibre (CF), crude fat, ash and NEL were developed
by the use of principal component analysis. NIRS demonstrated high
predictive ability for CP (R2 = 0.98), CF (R2 = 0.95)
and ash (R2 = 0.94). Only moderate accuracy was characteristic
for DM (0.87) and crude fat (R2 = 0.75). With exception of ash
deviations from reference methods are comparable to those which are expected
by the use of the same reference methods in different laboratories. NIRS has
a high ability to predict in vitro assessed NEL concentration (R2
= 0.89). More than 95% of samples lied within acceptable limits of ± 0.3 MJ
NEL kg–1 dry matter (DM). Despite suboptimal sample distribution,
i.e. small number of samples in classes below 4.4 and above 5.6 MJ NEL kg–1
DM, the deviations of NIRS predicted values from reference values were not
related to concentration of NEL. It was concluded that NIRS is rapid and
reliable technique for determination of chemical composition and energy
value of hay.
Key words: feed / hay/ net
energy for lactation/ chemical composition/ NIRS
Agris
category codes: P30
COBISS Code 1.01 Language: English
TOXIC
AND GENOTOXIC POTENTIAL EVALUATION OF SOIL SAMPLES BY BIOASSAYS
a),
Miha AVBERŠEK, Gregor GORJANC and Romana MARINŠEK LOGAR
a) Univ. of Ljubljana, Biotechnical fac., Zootechnical Dept.,
Groblje 3, SI-1230 Domžale, Slovenia.
ABSTRACT
Soil samples were
obtained from Slovenian industrial region Šaleška dolina and aqueous
leachates were prepared. The toxicity and genotoxicity potential of these
aqueous fractions have been evaluated by in vitro toxicity and
genotoxicity bioassays. Freshwater toxicity test (PROTOXKIT FTM)
with a ciliate protozoan Tetrahymena thermophila, and genotoxicity
comet assay using Tetrahymena thermophila, Caco-2 and HepG2 cell
lines were performed. Biological data were completed through chemical
analyses. It has been shown that physico-chemical analyses alone may not be
sufficient to characterize soil hazards. To study soil ecotoxcity it is
therefore necessary to take into consideration both, the physico-chemical
analyses, toxicity and genotoxicity assays.
Agris
category codes: E10
COBISS Code 1.01 Language: English
INCOME
SITUATION OF AGRICULTURAL HOUSEHOLDS IN SLOVENIA AFTER EU ACCESSION: IMPACTS OF
DIFFERENT DIRECT PAYMENTS POLICY OPTIONS
a), Stane KAVČIČ and Emil ERJAVEC
a)
Univ.
of Ljubljana, Biotechnical Fac., Zootechnical Dept., Groblje 3, SI-1230
Domžale, Slovenia.
ABSTRACT
Paper investigates income effects of different direct payments policy
options after the accession of Slovenia to the EU by application of a static
deterministic total income model for rural households in Slovenia (TIM).
Model is based on actual income data of 120 agricultural households in
Slovenia. With respect to the baseline situation before the accession and
accession agreement, income situation of analyzed households is likely to
improve under all analyzed policy scenarios. The estimated benefits are
highest in case of the standard direct payments scheme, followed by basic
flat-rate area payment option (entirely decoupled). Model results reveal
also that 2003 policy reform will have redistributive impacts in favour of
agricultural households engaged in extensive agricultural production.
Key
words: agricultural households / EU enlargement / CAP reform / total income
/ income impacts / Slovenia
Agris category codes: E10, E51
COBISS Code 1.01 Language: English
EVALUATION OF PUBLIC EXPENDITURE ON ECONOMIC GROWTH OF THE PERIPHERAL
SLOVENIA WITH INPUT-OUTPUT MODEL
a), Luka JUVANČIČ, Urban SILA and Emil
ERJAVEC
a) Univ.
of Ljubljana, Biotechnical Fac., Zootechnical Dept., Groblje 3, SI-1230
Domžale, Slovenia, Ph.D., M.Sc.
ABSTRACT
Slovenia is
witnessing a problem of divergence in economic performance of its regions
despite the high importance of the balanced regional development on the
policy agenda. After the EU accession the problem of regional disparities is
addressed through a wide set of financial mechanisms that affect the
regional development; i.e. certain elements of CAP, Structural and Cohesion
funds and Community initiatives. The paper is evaluating impacts of public
expenditure from these sources on the economic performance of the region
Peripheral Slovenia by constructing a regional Input-Output model in the
present (2004–06) and the following (2007–13) financial perspective. Results
show that the analysed funds can stimulate a notable economic growth of the
Peripheral Slovenia especially in the following financial perspective.
However; comparisons of the output growth at the national level reveal
likely lagging of the region. This means that the anticipated increase of
regional development disparities in Slovenia would continue in the future.
Key words: economics /
Slovenia / regional development / EU accession / regional input-output model
