Volume 3
AbstractsNumber 2
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M. Duru1, J. Tallowin2 and P. Cruz 1 1UMR ARCHE, Chemin de Borde Rouge, BP52627, 31326 Castanet Tolosan, France 2Institute of Grassland and Environmental Research, North Wyke, Okehampton, Abstract.
High
biodiversity in grasslands is widely perceived to have a major role in
maintaining or enhancing the amenity and cultural value of landscapes
in
Europe. In this paper, we focus mainly at community level, evaluating
factors
that appear to influence biodiversity at farm and landscape levels. In
order to
establish generic principles we examine the maintenance of biodiversity
in
terms of maintaining or enhancing functional diversity (FD). We define
plant
functional types (PFTs), groups of species having the same function
and/or the
same effect in the grassland ecosystem, species identified on the basis
of
plant traits. These traits reflect ecological responses to nutrient
input
and/or defoliation frequency, and they can also have an effect on
ecosystem
properties. We reviewed the literature, examining the relationship
between
several leaf and plant traits and principal ecological factors and, in
turn,
how these traits could influence the feed value of the grassland
vegetation for
herbivores. FD was determining as the range of relevant PFTs at
community, farm
and landscape levels. We propose a practical method of assessing
agronomic
value of semi-natural grasslands based on the determination of dominant
PFTs by
measuring traits in situ, or through
using a trait database coupled to species abundance records. We then
assess the
relevance of the method for semi-natural grasslands subjected to
several
management practices.
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J. Isselstein1, B. Jeangros2 and V. Pavlu3 1Institute of Agronomy and Plant Breeding, University of Goettingen, Von-Siebold-Str. 8, 37075 Goettingen, Germany 2Agroscope RAC Changins, Swiss Federal Agricultural Research Station,CH-1260 Nyon, Switzerland 3Research Institute of Crop Production, Prague, Grassland Research Station, Rolnicka 6, CZ-46011 Liberec, The Czech Republic Absract.
Maintaining and enhancing the biodiversity of the agriculturally
utilised area has a high priority in environmental policy worldwide.
Temperate grasslands in Europe make an important contribution to the
biodiversity of agricultural landscapes. The species and community
diversity of grasslands is a result of a traditional extensive
grassland management interacting with a broad range of site conditions.
Until the early decades of the last century, grassland sites were
hardly ameliorated and the agronomic potential was generally low,
depending on the fertility of the soils. Later on the production from
grassland was markedly improved by regular fertilisation, by liming and
by artificial drainage of wet sites. Correspondingly, the stocking
rates and the cutting frequency increased. Thus, biodiversity strongly
decreased, and unimproved species-rich swards only persisted on a low
percentage of the total grassland area. The preservation of the
remaining species-rich grassland is a primary goal of nature
conservation. The continuation of traditional ways of grassland
management that would best preserve biodiversity is often not
compatible with the requirements of intensive livestock production.
Therefore, this grassland is at risk of being abandoned from
agricultural use. There is a need to identify and develop improved
management measures that better integrate biodiversity and agronomy
targets of species-rich grassland farming. In addition, compensation
payments for farmers are required to support grass production on
species-rich swards. Apart from the unimproved species-rich grassland,
there is an increasing area of now de-intensified species-poor
grassland which can be managed to increase biodiversity. Grazing at a
low stocking rate seems to have the potential to facilitate the
restoration of diverse swards and to support reasonable individual
performances of the grazing animals.
Key words: grassland management, biodiversity, species-rich grassland, agronomic potential, grazing |
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Biodiversity
in intensive grasslands: Effect of management, improvement and
challenges
S. Plantureux1, A. Peeters2 and D. McCracken3 1UMR INPL(ENSAIA)-INRA Agronomie et Environnement Nancy-Colmar, 2 av. de la Foret de Haye, 54500 Vandoeuvre, France 2Laboratoire d'Ecologie des Prairies, Université Catholique de Louvain, Place Croix du Sud, 5 bte 1, B-1348 Louvain-la-Neuve, Belgique 3Land Economy Research Group, Scottish Agricultural College, Auchincruive, Ayr KA6 5HW, United Kingdom Abstract.
Intensified grasslands are usually the dominant type of grassland in
many countries in Europe but are generally of poor ecological value.
Several management factors may affect biodiversity of these grasslands
including fertilisation, grazing and cutting management. Their effects
on grassland biodiversity are described in this paper. In most cases,
intensive and profitable grass production from semi-natural grasslands
appears to be incompatible with maintaining a high level of
biodiversity. Two key questions then arise: how to restore biodiversity
in intensive grasslands while limiting the technical and economical
consequences? How to choose the target species on an objective basis?
Some solutions are considered in the paper but it is suggested that 1)
new tools (i.e. indicators) are required to evaluate the functions of
biodiversity and to achieve biodiversity restoration goals and 2) in
the short-term the research priority is to understand and predict
biodiversity at the field and farm-scale.
Key
words: grassland, biodiversity, intensification, improvement,
challenge
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Comparison
of the technological and building situation of Estonian cowsheds in
1999 and 2004
R. Miljan1, J. Miljan2
and A. Leola3
1Institute of Economics and Social Sciences, Estonian University of Life Sciences, Kreutzwaldi 64, 51014 Tartu, Estonia; e-mail: Riina.Miljan@emu.ee 2Institute of Forestry and Rural Engineering, Estonian University of Life Sciences, Kreutzwaldi 5, 51014,Tartu, Estonia; e-mail: Jaan.Miljan@emu.ee 3Institute of Technology, Estonian University of Life Sciences, Kreutzwaldi 56, 51014 Tartu, Estonia Abstract.
In 1999 an investigation of the situation of Estonian
cowsheds was carried out under the leadership of the Institute of Rural
Building of the Estonian Agricultural University. The aim of the
research was to determine the dominant building structures of cowsheds
and find out what kind of technologies were used there. This research
helped to clarify the situation and allowed to make proposals as to
which problematic areas should get the attention of help funds of the
European Union.
In 2004 a similar survey was conducted about Estonian cowsheds. As a
result of the research, we will be able to see what kind of changes
have taken place during the past five years. It will also help us
determine which problems still require the resources of the European
Union in order to make the agricultural production more efficient.
Key
words: dairy farm, cattle housing, milking systems, manure
storage
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Artificial
neural network as an alternative to multiple regression analysis for
estimating the parameters of econometric models
R. Põldaru1, J. Roots1 and A.-H. Viira2 1 Institute of Economics and Social Sciences, Estonian University of Life Sciences, Kreutzwaldi 64, 51014 Tartu, Estonia; e-mail: Reet.Poldaru@emu.ee, Jyri.Roots@emu.ee 2ARIB, Narva 3, 51009, Tartu, Estonia; e-mail: Ants.Viira@pria.ee Abstract.
In recent years, neural networks have been used for a wide variety of
applications where statistical methods are traditionally employed.
Neural nets offer the opportunity to create a model by using technology
similar to the learning patterns of the human brain. The structure of
artificial neural networks (ANN) is based on the human brain’s
biological neural processes. Artificial neural networks provide a new
approach to the problem of parameter estimation of nonlinear
econometric models. This paper presents a comparison between neural
networks and econometric approaches for estimation of parameters of an
econometric model of grain yield. The aim of this study is to show that
neural nets are a convenient econometric tool. The parameters were
estimated on the basis of alternative variants of models. The analysis
shows that artificial neural network models may be used for parameter
estimation of the econometric models.
Key
words: artificial neural network, econometric models, grain
yield
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Soil
compaction and fertilisation effects on nutrient content and cellular
fluid pH of spring barley (Hordeum vulgare L.)
E. Reintam1, J. Kuht1, H. Loogus2, E. Nugis2 and K. Trükmann1 1Estonian University of Life Sciences, Institute of Agricultural and Environmental Sciences, Kreutzwaldi Str. 64, 51014 Tartu, Estonia; e-mail: endla.reintam@emu.ee 2Estonian Institute of Agricultural Engineering, Teaduse 13, 75501 Saku, Harjumaa, Estonia Abstract.
The main objective of this work was to investigate the effect of soil
bulk density on nutrient (N, P, K) assimilation and on cellular fluid
pH of spring barley (Hordeum vulgare L.) with different levels
of fertilisation. Data were collected from the research fields of the
Estonian University of Life Sciences (58o23´N, 26o44´E)
with four different levels of soil compaction on sandy loam Stagnic
Luvisol from 2001 to 2003. The soil was compacted by a tractor MTZ-82
(with loader; total weight 4.9 Mg) before spring sowing. Four levels of
fertilisation (N0P0K0, N40P7K20; N80P14K40; N120P21K80) were applied
using N20: P3.5: K10 fertiliser. Results of our experiments showed a
high positive correlation between soil bulk density and cellular fluid
pH (average r = 0.87) and negative correlation between soil bulk
density and nutrient content (average r = –0.88) at highest rates of
fertilisation (N80P14K40; N120P21K80) and positive correlation (r =
0.84) at lower rates of fertilisation (N0P0K0, N40P7K20) in the earing
phase of barley. If the soil bulk density increased up to the level
1.56 Mg m-3, there was a sudden increase of cellular fluid
pH without fertiliser use. Use of fertilisers decreased the barley
stress. A sudden increase of cellular fluid pH started after soil bulk
density 1.61 Mg m-3. The greatest impact of soil compaction
was on nitrogen and potassium content in barley dry matter in all
fertilisation levels. The nitrogen and potassium content in barley dry
matter decreased up to 37% by high soil bulk density depending on
fertilisation. The experiment showed that the higher decrease of
nutrient content and the sudden increase of cellular fluid pH started
at the same soil bulk density value.
Key
words: soil compaction, bulk density, spring barley (Hordeum
vulgare L.), nutrients (N, P, K), fertilisation, cellular fluid pH
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Chlorophyll
fluorescence characteristics of different winter wheat varieties (Triticum
aestivum L.)
V. Šlapakauskas and V.Ruzgas Lithuanian University of Agriculture, Studentø 11, Akademija, Kaunas district, LT-53067, Lithuania; e-mail: BO@nora.lzua.lt Abstract.
The objective of the study was to estimate the fluorescence level of
newly developed winter wheat varieties. It was detected that the
minimum (actual) fluorescence yield (Ft) and the maximum
fluorescence
yield (Fm), measured with every saturation pulse, as well as
the
quantum yield (Y) and rate of electron transport (ETR) in the
illuminated leaves of the winter wheat varieties Ada and Alma
were
higher than in the control variety Širvinta. The fluorescence
parameters of the variety Seda were weaker. Nevertheless, the
grain
yield of this variety was higher compared with the other varieties. The
variety Seda is late ripening and more resistant to leaf
diseases.
Therefore, at the time of the experiment, the total area available for
photosynthesis of the variety Seda was higher compared with the
other
varieties. The maximum electron transport rate in rapid light curve in
the leaves of the wheat varieties Ada and Alma was
measured to be 850
μmol m-2s-1 and for the variety Seda 800 μmol m-2s-1
of
photosynthetically active radiation. In order to select plant breeding
material using the chlorophyll fluorescence method more precisely, it
is necessary to group the varieties or breeding lines according to the
dates of maturity.
Key
words: winter wheat, varieties, fluorescence
characteristics
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Soil
protection value of winter crops and reduced tillage on clay loams
A. Velykis and A. Satkus Joniskelis Research Station of the Lithuanian Institute of Agriculture, Joniskelis, LT-5240 Pasvalys District, Lithuania; Tel/fax: 370-71-38224; e-mail: joniskelio_lzi@post.omnitel.net Abstract.
Experiments to reduce soil physical degradation were carried out at
Joniskelis Research Station of the Lithuanian Institute of Agriculture
over the period 1998–2002. The soil of the experimental site is
characterised as glacial lacustrine clay loam on silty clay (Gleyic
Cambisol). The following was investigated: Factor A. Crop rotations
with different proportions of winter and spring crops (1. Without
winter crops; 2. Winter crops 25%; 3. Winter crops 50%; 4. Winter crops
75%; 5. Winter crops 100%), growing annual and perennial grasses,
spring and winter wheat, triticale, and barley. Factor B. Soil tillage
systems: 1. Conventional (primary soil tillage was performed by
ploughing); 2. Sustainable (after grasses the soil was ploughed, after
other preceding crops the soil was loosened without inverting the
topsoil). Our experimental evidence suggests that increasing winter
crops in the crop rotation reduced compaction of the topsoil from high
to moderate, maintained up to 37.3% of higher productive moisture
reserves, improved water to air ratio, and increased the crop rotation
productivity up to 44.7%. The application of reduced primary tillage in
a sustainable system had persistence of high soil compaction and 8.0%
lower air-filled porosity at the bottom of the topsoil, but the whole
topsoil reached physical maturity more evenly in the spring. The grain
yield of cereals was 6.4% lower compared with the yield after
conventional soil tillage. On these clay loam soils, spring cereals
were more sensitive (poorer performance) to reduced soil tillage
compared with winter cereals.
Key
words: clay loam Cambisol, crop rotations, soil tillage,
winter crops, physical properties, crop yield
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