Grapevine Trunk Diseases (GTD) is one of the most important diseases in vineyards worldwide, which can be found in Hungarian vineyards as well. In Hungarian wine regions there is very little information about the occurrence of pathogens which cause GTD, in case of Tokaj wine region there is no knowledge about that, what kind of pathogens can be found in the vineyards.
The objective of our research is to assess the situation and occurrence of GTD in Tokaj wine region in cooperation with local specialists, as well as identification of pathogens which were isolated from the diseased trunks by morphological and genetic basis.
We were able to isolate endophytic fungi from all sampled grape trunk. The majority of them were determined as Diplodia seriata not only based on colony morphology, but also determined by rDNA sequences.
Event-history analysis is among the most frequently adopted mathematical methods, mainly due to the numerous types of models, available in the analysis. This method is also appropriate for analysing risk. Specifically, it has been employed in medical and animal-breeding science to manage risks. In this article, I give a presentation of the basic concepts, the basic types of models and their theoretical basis. I deal with the nonparametric Kaplan Meier and the parametric Cox proportional hazard model. The case study is also analysed with these methods. The results shows, that the 16-stall caroussel is the most effective facility from the viewpoint of quality. Milking into assay crucible (sample- cup) is more effective than to the floor after 16 decades.
We 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.
Modern animal husbandry has drastically changed the genetic structure of some domestic species. The varieties, genotypes that we think we do not need at the moment can only be saved from extinction with the help of gene conservation. Traditional Hungarian horse breeds have a long history (more than 200 years) and a demonstrably different genetic structure from other horse breeds in Europe and the rest of the world. Consequently, their enormous genetic value is undoubted. The subject of our research was to study the structure of the mare families found in the population of the Lipizzan horse breed and the genetic structure of the Hungarian population. Out of the total 61 mare families in the world, 35 are present in Hungary. There are 11 Hungarian, 12 families of Fogaras, 7 original, 4 Croatian and 1 Slovenian mare families in the Hungarian population. The proportion of mare families in Hungary and Fogaras is almost the same. The proportion of Croatian and Slovenian families is negligible. In terms of their number, they are not significant in Hungary. For this reason they have little effect on the Hungarian Lipizzan population. Except one of the original mare families are in the same situation as the Croatian and Slovenian families. The Presciana / Bradamanta mare family is the most populous of all families due to their long stay in Hungary. The proportion of families is unbalanced. Seven mare families accounting for 56.36% of the total population. Given the basic requirements of gene conservation work, this condition is far from optimal.
Cluster 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.
We set up experiments for improving the nutritional value of cerealbased products. Our aims were to decrease the energy content of bakery products with the mixing of plant originated raw materials and byproducts with high fibre contents, and we have evaluated the effect of sodium-chloride on the physical properties of bakery products. We found that the apple pomace, the byproduct of juice production, is excellent for increasing of fibre content of bakery products and the further aim of investigation is to develop economical ways of hygienic byproduct handling and purification. Our experiments, evaluate the bakery use of triticale, have significant achievements and the breads made from triticale flour and whole-grain are commercially available nowadays. Our investigations included the possibilities of decrease of toxin contamination of cereals and our results can form a part of risk estimation systems after further experiments .
Fresh tart cherry consumption cannot be increased without the development of an appropriate technology for its elongated storage. This requires the development and optimization of the pre- and postharvest treatments. Currently, we have only limited knowledge about tart cherry (Prunus cerasus L.) postharvest technology, however, related studies on sweet cherry (Prunus avium L.) may be adopted. In this article, we have collected the most important research results in this topic.
The aim of examination was to detect the puberty and to follow the ovarian cycle of Barbados Blackbelly×Dorper ewes in connection with their body conditions and the effects of meteorological parameters. The blood samples had been taken from 17th of November 2008 untill 08th of June 2009 for analyzing the progesteron concentrations, establishing whether they showed perpetual ovarian performance or not. The end of examination
was timed due to releasing the ram in middle of May 2009.
The daily avarage bodyweight-growth is well featured by the bodyweight tendence. The body conditions were evaluated by ultrasound tissue examination.
During the full length of the examination the avarage daily temperature, the avarage humidity level and also the number of daily sunlighted hours were served by the Agrometeorological Observatory of the University of Debrecen.
The bodyweight tendence and the meteorological parameters were correlated to the breeding season of ewes. In conclusion the bodyweights and their tendences at the young age and the body condition parameters measured at certain anatomical areas can influence the length of the breeding season of the ewes. However the number of daily avarage sunlighted hours, the daily avarage temperature and also the humidity did not effect the cyclic ovarian perfomance of the Barbados Blackbelly×Dorper ewes in Hungary.