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Statistical comparison of coverage data of disturbed habitats in the Hajdúság
171-178Views:87Between 2002 and 2006 we made the coenological survey of five disturbed habitats marked as grasslands. With our coenological examinations and the statistical analyses we wanted to make the detailed botanical survey of the given five habitats in order to verify that the maintenance of habitats amongst agricultural lands – and considered as less valuable – is of high importance and necessary from an environmental point of view, since these habitats are often living and feeding areas of many rare and/or protected plant- and animal species.
As a result of the statistical analyses we have pointed out that number of species in case of all the five habitats extreme fluctuation characterizes the statistical universe. As regards the
average of the coverage it is the highest in case of the third habitat (degraded Puccinellia grassland), and the coefficient of variation shows homogenity as well. In examining the Shannon-value the average is the highest in case of the second habitat (Alopecurus meadow), and the statistical dispersion is the smallest. The coefficient of variation shows medium variability. The median of evenness is the lower in case of the third habitat (degraded
Puccinellia meadow) and the statistical is the highest here as well.
We have done the Hierarchical and the K-Means Cluster Analyses for the 21 plant associations of the five habitats. Both cluster analyses put the same associations into the same cluster, so
one can state that the associations in each cluster are different from the associations of the other ones according to the coverage data of the plant families. -
Will there be a horticultural triangle (cluster)? Thoughts about the reconstruction of the Hungarian horticulture between two European regions
21-27Views:178The authors of this study seek the answer to the question how to develop, in the first decade or decades of the 21st century, the university-level
horticultural scientific training, the horticultural innovation and the scientific co-operation between companies and universities in Debrecen and
in the North Great Plain Region and – in a wider sense – in Hungary to a standard being competitive even in European terms. With the synthesis
of the prospects of past, present and future, they drew the following conclusions. The reconstruction of agriculture, horticulture and food industry
is a part of reforming Hungary's countryside. Horticulture, producing high added value, will be able to decisively contribute to the plan whereas
the value presently produced in an agriculturally cultivated area of 1,000 euros/hectare can reach 2,000 to 3,000 euros in the next two decades.
A necessary and indispensable precondition to achieving this is the strengthening of the innovation output of the Hungarian horticultural sector.
Despite the numerous technical criticisms formulated in connection with the serious problems of Hungarian agricultural and horticultural
scientific innovation, no progress has been made in this field for the past one and a half decade. The scientific research of this topic hardly
continued or did not continue at all, the up-to-date surveys and in-depth analyses were missing. The objective, basic principles and tasks of the
Act CXXXIV of 2004 (TTI) enacted concerning research-development and technological innovation are clear and progressive. The co-operation
between the National Research Technology Office and the Hungarian Academy of Sciences, the setting up of the Innovation Fund are heartening
opportunities. These – along with the new Higher Education Bill to be passed – may as well be suitable for restarting the Hungarian agricultural
and horticultural scientific innovation. In our opinion, this requires a new, well-considered national agricultural programme, which can be
conceived in the framework of the "Ferenc Entz National Horticultural Plan" proposed by us for horticulture. In the most eastern Hungarian
university knowledge centre, at the University of Debrecen, the continuing of the horticultural scientific innovation strategy started in the last
decade may be the focal point and generator of the development of the so-called "Hungarian Horticultural Triangle”, or "Hungarian
Horticultural Cluster". This region comprises the Northern and Southern Great Plain Regions and the area between the Danube and Tisza
Rivers. Here, about 70 to 75% of the total Hungarian horticultural commodity stock is produced. The objective of the HORT-INNOTECH
DEBRECEN programme planned in 2004 by the University of Debrecen, Centre of Agricultural Science is to establish the horticultural scientific
research-development and technological innovation structure and knowledge base of the Hungarian Horticultural Triangle / Hungarian
Horticultural Cluster. In harmony with this, the objectives are to bring about competitive, new horticultural products, to improve the conditions
of utilising them, to enhance the competitiveness of enterprises based on technological innovation, to make use of the research-development and
innovation opportunities available in the regions in an efficient manner, to as full extent as possible, to encourage the creation of places of
employment producing high added value in the field of horticulture, to improve the technical skills of those employed in horticultural researchdevelopment and to promote their enhanced recognition by the society. -
Morphological diversity of current melons (Cucumis melo) compared to a medieval type
84-90Views:159Morphological diversity of melon (Cucumis melo); phenotype reconstruction of a medieval sample. Morphological diversity among 47 melon (Cucumis melo) cultivars and landraces from Hungarian germplasm collection (ABI, Tápiószele) were analyzed with an ultimate aim to characterize morphologically cv. Hógolyó, which showed the closest genetic similarity to a medieval melon recovered from the 15th century. Cultivars based on fruit morphology were grouped into the three main types of melon as reticulatus, cantalupensis and inodorus. Cluster analysis (by SPSS-11) based on 23 morphological (quantitative and qualitative) traits recorded revealed an extreme diversity among accessions, nevertheless cultivars were clustered into main melon clusters with only two exceptions of inodorus type cv. Zimovka J. and Afghanistan. Cultivars Sweet ananas and Ezüst ananász; and two Hungarian landraces Kisteleki and Nagycserkeszi showed close similarity. Cultivars Hógolyó and Túrkeve of inodorus type
were also grouped in one cluster, which provide insight into the morphological reconstruction of the medieval melon recovered from the 15th century. These results also indicate that old Hungarian landraces could be re-introduced into breeding programs for broadening genetic base of melon. -
An Analysis of Rotational Line Mating Using Computer Simulation
35-39Views:134In a simulation examination, we analyzed the effect of the family size and the rate of pairing on the survival of rare genes, to keep the level of variation of the genepool and to avoid the loss of alleles.
The population size was 360 animals. In the simulation, we calculated on the basis of a discrete population. We placed the 360 animals into different clusters, with 3 types of frequencies of alleles and 3 types of groups. We assumed 2, 3 or 4 alleles in 8 loci. We generated 15 generations using the same mating and selection system used in practise. The simulation was written with Scilab 2.7.2 software, and evaluated with SPSS software.
There were significant changes in the effect of family size on the genetic variation in the following cases: when the base population had the same gene frequencies in all loci, and when the gene frequencies were between 0.125-0.75. In these cases, we found that the smaller families (10 animals/cluster) were better than the larger families (30 or 90 animals/cluster). The first generation where there accured a loss of alleles was averagely earliest in larger families (90 animal/cluster). This average was 3.37 generations. When we are searched the effects of the different rates of pairing we found those cases most favourable when the ratio of males and females was 1:2 or 1:4 as compared to 1:9. The first generation where there was a loss of alleles was averagely earliest at the ratio of pairing male and females of 1:9 (the mean was 3.05 generations) when the frequency of the rarest allele was 0.0069.
The recently introduced rotating-random mating system is an eligible method for small populations for the preservation of genes. -
Comparison of growth parameters of 40 varieties/clones short rotation coppice willow (Salix)
99-104Views:136The plantation of willow varieties was established in 2009. The 40 different varieties and clones of Salix were planted at a research field in Kolíňany (Nitra district). The paper evaluates results from the first growing season in 2009. The survival rate of planted cuttings ranged from 55.56 % to 100.00 % after the first year. The lowest survival rate was reached by Terra Nova variety. The stem numbers per plant ranged from 1.17 ±0.37 to 2.53 ±0.98. The average height of one-year old stem varied from 65.82 ±36.60 cm to 225.58 ±68.61 cm. The average stem diameter ranged from 6.90 ±2.63 mm to 14.34 ±3.39 mm. There were statistically very significant differences in parameters of stem height stem diameter and stem numbers per plant among studied varieties/clones. The statistic method used was analysis of variance ANOVA. The varieties were then divided into 6 groups according to their similarity in observed parameters after the first growing season by cluster analysis. The best results were reached by varieties/clones classified in the second group. The survival rate, stem diameter and stem height values of these varieties/clones were above average.
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Clusteranalysis as a swine farm qualifying method
165-174Views:108Cluster Analysis is one of the most favorite multivariable statistical methods, which is actually a special type of aggregating method. Observations are clustered by variables belonged to the observations. Our purpose is to create such clusters, in which the elements are the most similar, and between the clusters they are the most variant. For example these clusters could be the qualitative classifications of farms.
There have been several methods in Cluster Analysis as well as numerous distance measures, which could be used. In this article, we study all of these methods and measures. After we show the theoretical background, we apply the method in a given casestudy to control the qualitative classifications of experts. In this study, we use both the hierarchical and the non-hierarchical method, and also compare them. We would like to attract the attention that the most important problem of the analysis is to determine the optimal of clusters. -
Formation of Food Clusters in Europe
55-59Views:98In the dictionary of foreign words and phrases we can find the word “cluster” with the following sense: aggregation, group and in a wider meaning: association, integration.
By explaining the geographical concentration of economical and innovation processes in the food processing sector, clusters, and especially
business clusters, play an important role. This essay deals exclusively with business clusters, so the term cluster is used also for business cluster.
I tried to collect the most relevant indicators determining the formation of clusters in the Food Processing Sectors and to analyze whether a
correlation can be found among the analyzed indicators. -
Cluster, a potential tool for rural development
195-201Views:173There was a heavy change in the characteristics of the agriculture in the last 20 years. It become a multifunctional, sustainable, organic system, which needs strategic approach. On the problem map of the hungarian agriculture the most importatnt questions are the following: dual charachter of the land structure, to occidentalize the farm structure. To develop the rural areas we need to real markets needs adapted, competitive, local agricultural production. From the ’90s into Europe’s economic development policies integrated the clusters, this research tries to certify, that this system is viable in classic agriculture and able to dissolve the defecinces, to support the aims of rural development.
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Defining agricultural cluster’s conceptual framework with Delphi technique
63-66Views:145The cluster concept is well defined in the literature, but its agricultural adaptation has not been detailed. A method is needed, which involves
experts into the study, who are able to confirm that the modell is correct and help to define the conceptual gaps. The Delphi technique is suitable
for the task. This is a well-structure, iterative future foresight technique, based on experts opinion about the research topic. The method leads to consensus by all means, but it also can have a negative outcome of the researcher's point of view, that's why we have to formulate scenarios.
The aim is not statistically significant result, but to build in new ideas into the modell with brainstorming. -
Change management at clusters: first results of a change management survey among clusters at European level
81-85Views:117Change is a natural characteristic of organisations at the end of the twentieth century and in the upcoming ages. The dynamism of the environmental effects and the heterogeneity of the environment urge organisations to continuously adapt to these changes. It means that organisations and clusters which are more or less agglomeration of organizations should be open to external influences and those organisations responding faster are more viable. From the professional literature several change management methods and tools are known. However, few sources deal with clusters. A cluster is also a unique organizational structure: its specialty lies in the fact that even large clusters are built up from smaller organisations in an environment where flexibility, rapid economic decisions and high level buoyancy is needed. The question is whether the general change management methods and approaches can be interpreted regarding clusters.
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The role of networks and clusters in rural development
57-62Views:71The development of rural areas is a key role for the European Union and its member states as well. The rural development primarily achieved through the development of agriculture, because the main beneficiaries of the grant are the farmers. Hungary today is close to 1 million units in agriculture, but only 10% are competitive. Agriculture as an industry according to its economic characteristics needs closely managed decentralization, where the autonomy of the units remain, but there is a central governing body, which constitutes a proffesional manager function. This is a superorganization, which stay above agricultural units, called cluster.
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The economic risk analysis in the case of agricultural enterprises
107-116Views:130The company’s activity, profitability and growth potential are influenced by risk and uncertainty derived from the economic environment. The principal thing that makes difference between risk and uncertainty is the capacity to be quantified, and then the risk can be measured, whereas uncertainty is not. Specific risk types of agricultural enterprises are on the one hand the economic risk and specific risk arising from the main agricultural activity. The economic risks include financial risk categories like market risk, liquidity risk, credit risk and operational risk. Macroeconomic risk manifest also a significant influence to the company and the importance of taking into account of this, importantly increased in recently years. In present paper, I quantified the total risk of company by using financial and operating leverage indicators. The company’s growth was characterized with internal growth rate and sustainable growth rate. The present research aims to explore risk and growth level of agricultural companies and grouping companies by different characteristics. In present analysis I have used cluster analysis. From the results I can summarize, that the agricultural enterprises growth is made by using internal financing resources and their financial leverage level is lower that operating leverage level.
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Application of microsatellite fingerprints for pedigree analysis of Hungaricum grapevine varieties
71-77Views:150the Carpathian Basin were involved into our examination, which aimed at genotyping their accessions. DNA fingerprints of 101 varieties were determined with 6 microsatellite markers till 2005, resulting in successful discrimination of the accessions. Based on these results for pedigree determination, even more cultivars and primers were involved into the analyses. For studying the origin of Csabagyöngye and for proving the parent-progeny relations of Irsai Olivér and Mátrai muskotály, 19 microsatellite markers were applied, while 11 were selected for tracing the origin of Királyleányka. Genetic distances between the varieties were estimated with cluster analysis and demonstrated by dendrogram, proving that the varieties can be discriminated from each other based on the microsatellite allele sizes. Pedigree of Irsai Olivér and Mátrai muskotály has been confirmed by microsatellite allele size results, searching for the parents of Csabagyöngye and Királyleányka is in progress, since the molecular-marker based pedigree does not correspond with the putative origin of these cultivars. Our results excluded progeny-parent relationships in the
Csabagyöngye-Bronnerstraube-Muscat ottonel (Ottonel muskotály) and the Királyleányka-Kövérszőlő combinations. -
The efficacy of combining paraffin oil with conventional fungicide treatments against grape powdery mildew in Eger
173-180Views:174We aimed to test the combination of paraffin oil (PFO) with regular fungicide treatment to assess its efficacy against grape powdery mildew (GPM) in a small spraying experiment on two Vitis vinifera L. cultivars (Chardonnay and Kékfrankos) with different susceptibility to Erysiphe necator. The visual symptoms of GPM on leaves and clusters were examined at three phenological states. The harvest yield was characterized by two methods, data were analyzed with one-way ANOVA and Tukey post-hoc test. Regular fungicide treatment (CT) and its combinations with PFO showed better results in both varieties to repress GPM in 2015 relative to sole PFO treatments. Mean values of combined treatments were often lower than CT but did not differ significantly from each other. The same was observed in 2016, despite the higher pressure of GPM, and missed the third survey. No significant differences were detected between treatments in yield. In contrast, the mean cluster weight of CT and combined treatments resulted in (insignificantly) higher values in each variety and year. In summary, the sole PFO showed some disease control capability as reported earlier, but this effect was greatly affected by the given vintage. Combining PFO with CT resulted in increased protection against GPM relative to the solely applied fungicides. However, this effect was not significant in all cases. It also depended on the vintage and cultivar characteristics. The beneficial impact of paraffin oil as an additive to CT may be due to the induction of plant stress responses and/or its ability to support the adherence and absorption of the combined agents.
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Creating potential agricultural clusters in the Northern Great Plain Region
63-67Views:107The crisis of the hungarian agricultre is continuous since the ’80s. The compensation is made a dual farm system, which has created barriers to efficient agricultural production. It is confirmed by the economic indexes as well. But the most important natural resources of our country is still the land. Over the past 20 years, the government was not able to work out strategic aims and adequate system for the hungarian agriculture. In the past three decades the clusters has become the most common tool in economic development worldwide. Clusters always base on some local knowledge, and a country can be competitive on the industry in which the resources are concentrated. So the question is, is it possible to „clusterize” the
agriculture and through this develop the rural economic. -
Correlation of pruning time and fruiting part differentiation of sweet cherry cultivars
131-134Views:110There are several extended studies in sweet cherry production in Hungary and all over the world i.e. for creation and maintainence of smaller tree crown and high density orchards. The use of suitable dwarf rootstocks for this fruit species are very limited. On one hand, most of the draf rootstocks do not cause enough growth reduction and on the other hand these rootstocks are get old very quikcly and their fruits become small, and therefore, they not serve the requirements for intensification. In summary, there is a need for those rootstock which are vital, regeneration enhanching and delay ageing. Due to ensuring above features, Prunus mahaleb is still an obvious solution for intesive production. Increasing intensification can be obtained by use of modernisation of technological elements and suitable cultivar choice.
According to this increasement of intensity through application of novel technological elements (timing, manner and severity of pruning) and selection of the proper cultivar is implement able. Important differences are experienced between sweet cherry cultivars in their growth attributes, light demand and dynamics of fall back in regenerative potencial of different aged wood parts. From this point knowledge of the abow detailed is very important in order to maintain rentability of already established plantations. Our work shows the formation of production part in
9-year old plantation with spike spindle and free spindle crown forms depending on pruning timing (winter, summer) and determining of their various effects. -
The Examination of the Effects of Value Modifying Factors on Dairy Farms
36-40Views:76We wish to present a method to quantify the value modifying effects when comparing animal farms. To achieve our objective, multi-variable statistical methods were needed. We used a principal component analysis to originate three separate principal components from nine variables that determine the value of farms. A cluster analysis was carried out in order to classify farms as poor, average and excellent. The question may arise as to which principal components and which variables determine this classification.
After pointing out the significance of variables and principal components in determining the quality of farms, we analysed the relationships between principal components and market prices. Some farms did not show the expected results by the discriminant analysis, so we supposed that the third principal component plays a great role in calculating prices. To prove this supposition, we applied the logistic regression method. This method shows how great a role the principal components play in classifying farms on the basis of price categories.